Technical Report—Racial and Ethnic Disparities inthe Health and Health Care of Children
abstractOBJECTIVE: This technical report reviews and synthesizes the pub-lished literature on racial/ethnic disparities in children’s health andhealth care.
METHODS: A systematic review of the literature was conducted forarticles published between 1950 and March 2007. Inclusion criteriawere peer-reviewed, original research articles in English on racial/ethnic disparities in the health and health care of US children. Searchterms used included “child,” “disparities,” and the Index Medicusterms for each racial/ethnic minority group.
RESULTS: Of 781 articles initially reviewed, 111 met inclusion criteriaand constituted the final database. Review of the literature revealedthat racial/ethnic disparities in children’s health and health care arequite extensive, pervasive, and persistent. Disparities were notedacross the spectrum of health and health care, including in mortalityrates, access to care and use of services, prevention and populationhealth, health status, adolescent health, chronic diseases, specialhealth care needs, quality of care, and organ transplantation.Mortality-rate disparities were noted for children in all 4 major USracial/ethnic minority groups, including substantially greater risksthan white children of all-cause mortality; death from drowning, fromacute lymphoblastic leukemia, and after congenital heart defect sur-gery; and an earlier median age at death for those with Down syn-drome and congenital heart defects. Certain methodologic flaws werecommonly observed among excluded studies, including failure to eval-uate children separately from adults (22%), combining all nonwhitechildren into 1 group (9%), and failure to provide a white comparisongroup (8%). Among studies in the final database, 22% did not performmultivariable or stratified analyses to ensure that disparities per-sisted after adjustment for potential confounders.
CONCLUSIONS: Racial/ethnic disparities in children’s health andhealth care are extensive, pervasive, and persistent, and occur acrossthe spectrum of health and health care. Methodologic flaws were iden-tified in how such disparities are sometimes documented and analyzed.Optimal health and health care for all children will require recognition ofdisparities as pervasive problems, methodologically sound disparitiesstudies, and rigorous evaluation of disparities interventions. Pediatrics2010;125:e979–e1020
Glenn Flores, MD, THE COMMITTEE ON PEDIATRIC RESEARCH
KEY WORDShealth care disparities, ethnic groups, Hispanic Americans,African Americans, Asian Americans, Indians, North American
ABBREVIATIONSCDC—Centers for Disease Control and PreventionCI—confidence intervalAAP—American Academy of PediatricsAA—African AmericanAPI—Asian/Pacific IslanderAI/AN—American Indian/Alaska NativeALL—acute lymphoblastic leukemiaED—emergency departmentSCHIP—State Children’s Health Insurance ProgramADHD—attention-deficit/hyperactivity disorderSES—socioeconomic status
This document is copyrighted and is property of the AmericanAcademy of Pediatrics and its Board of Directors. All authorshave filed conflict of interest statements with the AmericanAcademy of Pediatrics. Any conflicts have been resolved througha process approved by the Board of Directors. The AmericanAcademy of Pediatrics has neither solicited nor accepted anycommercial involvement in the development of the content ofthis publication.
The guidance in this report does not indicate an exclusivecourse of treatment or serve as a standard of medical care.Variations, taking into account individual circumstances, may beappropriate.
www.pediatrics.org/cgi/doi/10.1542/peds.2010-0188
doi:10.1542/peds.2010-0188
All technical reports from the American Academy of Pediatricsautomatically expire 5 years after publication unless reaffirmed,revised, or retired at or before that time.
PEDIATRICS (ISSN Numbers: Print, 0031-4005; Online, 1098-4275).
Copyright © 2010 by the American Academy of Pediatrics
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INTRODUCTION
Racial/ethnic disparities in health andhealth care recently have receivedconsiderable attention. The Agency forHealthcare Research and Quality hasissued an annual national health caredisparities report since 2003.1,2 Reduc-tion and elimination of disparities isone of the major goals of Healthy Peo-ple 2010,3 part of the strategic plan ofthe Eunice Kennedy Shriver National In-stitute of Child Health and Human De-velopment,4 and part of the strategicimperatives of the Centers for DiseaseControl and Prevention (CDC).5 A sepa-rate National Institutes of Health cen-ter devoted to minority health andhealth disparities (the National Centerfor Minority Health and Health Dispar-ities) was founded in 2000.6 The Insti-tute of Medicine released a land-mark monograph on disparities,7
and a federal bipartisan bill target-ing health care disparities recentlywas introduced.8
Little attention has been paid, how-ever, to racial/ethnic disparities in thehealth and health care of children. Forexample, only 5 of 103 studies in theInstitute of Medicine’s extensive re-view of the literature on health caredisparities specifically addressed ra-cial/ethnic disparities in children’shealth care.7 The purpose of this tech-nical report, therefore, is to reviewand synthesize the published litera-ture on racial/ethnic disparities inchildren’s health and health care. Thereport begins with definitions of keyterms and an overview of sociodemo-graphic trends in minority children.Specific minority groups, the impor-tance of racial/ethnic subgroups, stud-ies of interventions to reduce racial/ethnic disparities, and methodologicissues are then reviewed.
DEFINITIONS
“Race/ethnicity” is defined as thechild’s racial or ethnic group (includ-
ing “multiracial”), as designated bythe parent and/or child. “Minority”will be the term used for children ofnonwhite race/ethnicity. Althoughmul-tiple definitions have been proposedfor the term “disparities,” the HealthResources and Services Administra-tion definition of disparities was used,whichdefinesdisparities as “population-specific differences in the presenceof disease, health outcomes, or accessto care.”9
METHODS
Only statistically significant disparitiesare reported herein (ie, those with ei-ther a P value of less than .05 or 95%confidence intervals [CIs] that are non-overlapping with non-Latino white chil-dren). The only exception to this rulewas inclusion of certain crude out-come rates in large population-basedsamples in which the differences wereconsidered quantitatively or clinicallysignificant (ie, when there was at leasta 50% difference in rates between aspecific racial/ethnic minority groupand the white population). Only studiesthat examined racial/ethnic dispari-ties in the context of comparisons towhite children were included in the lit-erature review. Notation was made ofwhether disparities included adjust-ment for relevant covariates. When ap-propriate data were available, seculartrends for specific disparities are de-scribed. Unless otherwise noted, thereference group for any racial/ethnicdisparity is non-Latino white children.
LITERATURE SEARCH
The scope of published literature onracial/ethnic disparities is broad. Inaddition, although racial/ethnic dis-parities in neonatal and infant mor-tality rates10 and dental care11 havebeen fairly well described, relativelylittle has been published on racial/ethnic disparities in children and ado-lescents. The terms that have beenused to describe disparities also have
been neither standardized nor consis-tent. As a consequence, the literaturesearch was limited to only those stud-ies that specifically examined racial/ethnic disparities for US children andadolescents, to ensure a focus on dis-parities and a body of literature in ur-gent need of a systematic review. Thus,articles on racial/ethnic disparities inneonatal and infant mortality and den-tal care were excluded, because dis-parities in these domains have com-paratively been more well described,and articles on pediatric workforce di-versity, an area that was addressed ina recent American Academy of Pediat-rics (AAP) policy statement,12 alsowere excluded.
The database used for the literaturesearch was Ovid Medline; the searchencompassed the years 1950 throughthe first week of March 2007. The initialsearch strategy included the terms“child” and “disparities” (both as med-ical subject heading terms and keywords), which yielded 666 citations. Toensure that no relevant citations weremissed, individual searches also wereperformed by using “disparities,”“child,” and Index Medicus terms foreach racial/ethnic minority group,which yielded the following children’sdisparities references: “African conti-nental ancestry group,” n� 35; “Asiancontinental ancestry group,” n � 5;“Pacific Islanders,” n � 2; “Indians,North American,” n� 17; “multiracial,”n� 1; and “Hispanic Americans,” n�55. The initial total of all citations was,therefore, 781 articles. To ensure theconsistency and reproducibility of thisliterature search, additional second-ary references were not included fromthe citation lists of the primary articlesincluded in the database.
Abstracts for all 781 articles were re-viewed. Because the focus of the liter-ature review was original, peer-reviewed articles in English on racial/ethnic disparities in the health and
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health care of US children, review arti-cles, editorials, commentaries, per-spective pieces, theoretical or concep-tual pieces, transcripts of speeches,letters to the editor, dental care arti-cles, articles that addressed adults orthe elderly, articles without analysis ofracial/ethnic disparities, articles onneonatal or infant mortality issues, ar-ticles on workforce diversity, articlesthat did not examine disparities in thehealth of US children, and duplicate ci-tations were excluded. Application ofthese exclusion criteria yielded 227 ar-ticles. The full print versions of theseremaining 227 articles were reviewed,and reapplication of the exclusion cri-teria yielded a final database of 111articles, 2 of which examined interven-tions aimed at reducing racial/ethnicdisparities (and were consideredseparately).
SOCIODEMOGRAPHICS OFMINORITY CHILDREN IN THEUNITED STATES
The United States is experiencing a de-mographic surge in minority children(Fig 1). There are 31.4 million children(younger than 18 years old) of non-white race/ethnicity in the UnitedStates,13 comprising 43% of children,and representing an 11% increase
since 200014 and a 58% increase since1990.15 Since 2000,minorities have rep-resented more than half of the popula-tion of the nation’s 100 largest cities,and 42 of the 100 largest US cities are“minority majority” (defined as popu-lations in which racial/ethnic minori-ties outnumber the white popula-tion).16 In California, the largest statein the nation, minorities have outnum-bered whites since 2000, and currentlyrepresent 57% of the state’s popula-tion.17,18 Conservative estimates indi-cate that minorities will constitute halfof US children by 2040.19
Latinos are the largest and fastest-growing minority group of US children(Fig 1), representing 20% of children inAmerica (equivalent to 15 million).13,20
African Americans (AAs) are thesecond-largest minority group of USchildren, representing 15% of childrenin America (equivalent to 10.9 mil-lion)13; between 1990 and 2006, theirpopulation proportion slightly de-creased. Asians/Pacific Islanders(APIs) are the third-largest minoritygroup of US children, representing 4%of children in America (equivalent to 3million)13; between 2000 and 2006,their population proportion grew by14% (1990 US Census data are not
available on API children). American In-dians/Alaska Natives (AIs/ANs) repre-sent 1% of children in America (equiv-alent to �661 000)13; between 1990and 2006, their population proportiondecreased by 18%. The number of mul-tiracial children in the United States(ie, self-designated by the caregiver asbelonging to 2 or more races) in 2006was 2.9 million, representing 4% of theUS population of children,13 a propor-tion that has not changed since 1990.
HEALTH AND HEALTH CAREDISPARITIES IN SPECIFIC RACIAL/ETHNIC GROUPS OF CHILDREN
African Americans
The vast majority of articles (94 of 109[86%]) addressed disparities in AAchildren (Table 1).
Mortality
Eight articles documented AA/whitedisparities in mortality rates. Overallchildhood mortality rates were foundto be consistently higher for AA chil-dren; national data for a 43-year pe-riod revealed marked crude mortality-rate disparities in young children 1 to 4years of age (twice that of white chil-dren) and older children 5 to 14 yearsof age and increases in the mortality-disparity ratio in the most recent 10-year period. Two other studies thatadjusted for relevant covariates docu-mented significantly higher mortalityrates for AA children versus white chil-dren in the Detroit tri-county area forboys and older girls (10–19 years old)and among children without congeni-tal anomalies in the state of Michigan.AA children also experience higherrisks of death from drowning in aswimming pool, especially in publicpools, with the drowning rate in hotel/motel pools disproportionately higher.Significant disease-specific mortality-rate disparities were identified foracute lymphoblastic leukemia (ALL),median age at death for Down syn-
4 4
-18.2
1.13.6
15.112.2
68.9
31.1
0.94.1
14.8
20.3
57.3
42.7
0
13.9
-2.0
-16.8
58.5
66.4
-30
-20
-10
0
10
20
30
40
50
60
70
80
90
% o
f p
op
ula
tion
1990 Census2006 ACSInterval increase
Nonwhite
White(non-Latino) Latino
AA API
AI/ANMultiracial
FIGURE 1Growth of racial/ethnic minority population of US children between 1990 and 2006. ACS indicatesAmerican Community Survey. Data were unavailable for APIs for the 1990 US Census, so data depictedare from the 2000 US Census.
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TABLE1DisparitiesintheHealthandHealthCareofAAChildren
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Accesstocare
Loweraccessibilitytopediatricprimarycareproviders
Analysisofspatialaccessibilitytopediatric
USCensusdataonallchildren
Notadjustedforcovariates
27NeighborhoodAAracemorestronglyassociatedwithaccessto
pediatricprimarycareprovidersthanneighborhoodincome
primarycareprovidersinWashington,DC
andAmericanMedical
Association/American
OsteopathicAssociation
dataonconcentrationofall
pediatricprimarycare
providersinWashington,DC
Doubletheadjustedoddsofhavingnousualsourceofcare
Analysisofhouseholdcomponentof1996and
AA:n
�2189;Latino:n
�Adjustedfor8covariates;doublethe
28Doubletheadjustedoddsofnohealthprofessional/doctorvisitin
pastyear
2000MEPS
4091;Asian:n
�325;white:
n�6362
adjustedoddsofdissatisfaction
withqualityofcarein1996butnot
2000
Higheradjustedoddsofappendicitisrupture
Cross-sectionalanalysisoffull-yearsamples
ofhospitaldischargerecordsforacute
appendicitisfromCaliforniaandNewYork
children4–18yofage
California:AA,n
�297;Latino,
n�4304;API,n
�459;
white,n
�4017;NewYork:
AA,n
�342;Latino,n
�444;API,n
�80;white,n
�2379
Adjustedfor7covariates
29
Higheradjustedproportioninfairorpoorhealthamongnew
SCHIPenrolleesinFlorida
AnalysisofCHIRIdataonnewSCHIPenrollees
in4states(�18yoldinAlabama,Kansas,
Totalsample:n
�8975b
Adjustedfor10covariates
30
LoweradjustedproportionhadusualsourceofcarebeforeSCHIP
amongnewSCHIPenrolleesinNewYork
andNewYork,and11.5–17.9yoldin
Florida)
BeforeenrollmentinSCHIP
InterviewsofparentsinNewYorkStateatthe
Totalsample:N
�2644b
Adjustedfor12covariates;1
31Loweradjustedrateofhavingusualsourceofcare
timeofSCHIPenrollmentoftheirchild
(baseline)andN
�2290
unadjustedquality-of-caredisparity
Higheradjustedrateofhavingunmetneedsforhealthcare
(baseline)and1yafterenrollment
(1-yfollow-up)
wasnotedbutnotadjustedfor
Greateradjustedoddsofnotbeingreferredtospecialistbyhealth
careprovider
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarly
ChildhoodHealth
AA:n
�477;Latino:n
�817;
white:n
�718
Adjustedfor9covariates
32
Adolescents
Higherlikelihoodoffairtopoorhealthamongadolescents
recentlyenrolledinSCHIP
AnalysisofCHIRItelephoneinterviewdataof
adolescentsnewlyenrolledinSCHIPin
Totalsample:N
�2036b
Nomultivariableadjustments
performed
33
Lesslikelytousedoctor’sofficesastheirusualsourceofcare
amongadolescentsrecentlyenrolledinSCHIP
FloridaandNewYork(andtheirparents)
Significantlyloweradjustedoddsofuseofsubstanceabuse
servicesamongadolescents
Analysisof5yofTennesseeMedicaid
(TennCare)enrollment,encounter,and
AA:n
�60104;white:n
�110552
Adjustedfor4covariates
34
Significantlyolderageatfirstuseofsubstanceabuseservices
claimsdataforsubstanceabuseservices
usebyadolescents12–17yofage
AAgirlsatparticularriskofunderuseofsubstanceabuse
services,withonly1in25AAfemaleteenagedsubstance
abusersaccessingsubstanceabuseservices
Femaleadolescents:higherriskofskippingbreakfast,obesity,
lackinghealthinsurance,needingbutnotgettingmedical
care,anysexuallytransmitteddisease,perpetratingviolence,
andbeingavictimofviolence
AnalysisofAddHealth(waves1and2),a
nationallyrepresentativeschool-based
studyofyouthsingrades7–12,withfollow-
upintoadulthood
AA:n
�3038;Latino:n
�2340;API:n
�1021;AI/AN:
n�136;white:n
�7728
Prevalenceinpublishedtableswasnot
adjusted;authorsstatedthat
adjustmentsforincomeand
parentaleducationhadminimal
influenceonfindings;significant
disparitieswereidentifiedbyusing
95%CIsthatdidnotoverlapwith
measureforwhitechildren;no
formalstatisticalevaluationof
disparitieswereprovidedinarticle
35
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Maleadolescents:higherriskofperpetratingviolenceandbeing
victimofviolence
Livebirthratefor15-to17y-oldgirlswas
�3timeshigher
1990–1998natalityfilesfromtheNational
VitalStatisticssystem
Notprovided
Expressedasratesper1000;rates
werenotadjustedforany
covariates
36
Birthratefor15-to17y-oldgirlswas4–5timeshigher
AnalysisofvitalrecordsfromtheIllinoisand
Chicagodepartmentsofpublichealth
Notprovided
Notadjustedforcovariates
37AA/whitedisparityratioworsenedby23%between1990and1998
Birthratefor15-to19-y-oldgirlsmorethantwiceashigh
BirthcertificatedatareportedtoCDC
NationalCenterforHealthStatistics
Notprovided
Notadjustedforcovariates;noP
valuesor95%CIs
38
Greateradjustedoddsofalcoholtestingamongfemale
adolescentsadmittedtoEDsfortraumaticinjury
AnalysisofdatafromtheNationalTrauma
DataBank(includes64USinstitutions)on
adolescents12–17yofageadmittedtoEDs
withtraumaticinjury
AA:n
�1760;Latino:n
�396;
white:n
�5584
Adjustedfor7covariates
39
Asthmaandallergies
Highestasthmaprevalenceofanyracial/ethnicgroup(26%higher
vswhitechildren)
Trendsinasthmaovertimeforchildren0–17
yofageusingdatafrom5NationalCenter
Notprovided
Nostatisticalcomparisonsperformed
or95%CIsprovided;only
40
Highestasthma-attackprevalenceofanyracial/ethnicgroup(44%
highervswhitechildren)
forHealthStatisticssources:National
HealthInterviewSurvey,National
unadjustedrateswerepresented
Disparityvswhitechildrenhaswidenedprogressivelyover16-y
period,from15%higherprevalenceto26%higher
prevalencevswhitechildren
AmbulatoryMedicalCareSurvey,National
HospitalAmbulatoryMedicalCareSurvey,
NationalHospitalDischargeSurvey,and
Higherasthmaoffice-visitrate
mortalitycomponentoftheNationalVital
TripletherateofasthmaEDvisits
Statisticssystem
Tripletherateofhospitaloutpatientvisitsforasthma
Ambulatoryasthma-visitrate(alloutpatientvisittypes)1.6times
higher
Hospitalizationrate3.6timeshigher
Hospitalizationrateincreasedatmorethandoubletherateof
whitechildren
Highestasthmamortalityrateofanyracial/ethnicgroup,4.6times
higherthanthatofwhitechildren
Asthmamortalityrateincreasedover19y(vsremainedthesame
inwhitechildren)
Greaterlikelihoodofcurrentasthma
Nationaldatabase(NHIS)
AA:n
�14487;white:n
�Adjustedfor8covariates
41GreaterlikelihoodofEDvisitforasthmainpastyear
49042
Greateradjustedodds(adjustedoddsratio,2.5
�95%CI:1.3–4.8
�)ofphysician-diagnosedasthma,evenafteradjustmentfor
familyincome
RhodeIslandHealthInterviewSurvey
AA:n
�142;Latino:n
�353;
white:n
�1274
Adjustedfor7covariates
42
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Higheradjustedoddsofasthma
Secondaryanalysisof2yofMEPSdataon
Total1996MEPSsamplesize:
Adjustedfor6–8covariates;in1
43Loweradjustedoddsofambulatoryvisits
children2–18yofage
N�3955;total1997MEPS
surveyyearbutnottheother,
Loweradjustedoddsofprescriptionsfilled
samplesize:N
�5933
significantlyloweradjustedoddsof
EDvisitsandinternalizingand
externalizingbehavioralconditions
Higherasthmamortalityrate,bothforunderlyingcauseandany
mention
Analysisof12yofdatafromthemultiple
cause-of-deathfilesfromtheNational
CenterforHealthStatistics
Totalsample:N
�4091a,b
Unadjustedrates,notadjustedforSES
orinsurancecoverage;asthma
mortalityratealsohigherthanthat
ofLatinoandAPIchildren
44
HigheradjustedoddsofanasthmaEDvisitorhospitalization
Analysisofdatafromparent-response
questionnairesadministeredin26
randomlyselectedNewYorkCitypublic
elementaryschools
Totalsample:N
�5250b
Adjustedfor4covariates
45
Higherdiagnosedasthmaprevalence(18%)
Cross-sectionalanalysisofparent-report
AA:n
�2938;Latino:n
�Notadjustedforcovariates
46Highertotalpotentialasthmaburden(diagnosedpluspossiblebut
undiagnosedasthma)
questionnairedatafrom14low-income,
diverseChicagopublicelementaryschools
6002;white:n
�1560
Morethandoubletheadjustedoddsofhavingacurrentasthma
diagnosis
AnalysisofNHANESIIIonchildren1–16yof
age
Totalsample:N
�11181b
Adjustedfor14covariates;samplesize
ofthosewithasthmawasnot
provided
47
Worseasthmaphysicalhealthscores
Cross-sectionalstudyusingparental
AA:n
�636;Latino:n
�313;
AdjustedforSES,healthstatus,age,
48Loweradjustedoddsofdailyanti-inflammatoryuseforasthma
telephoneinterviewsandelectronic
recordsforMedicaid-insuredchildren
2–16yofagewithasthmain5managed
careorganizationsinCalifornia,
Washington,andMassachusetts
white:n
�512
gender,andother
sociodemographicvariables
Higheradjustedoddsofcockroachallergensensitivity
Cross-sectionalanalysisofchildren
AA:n
�1502;Mexican
Adjustedfor8covariates
49Higheradjustedoddsofdustmiteallergensensitivity
6–16yofagewhoparticipatedinallergen
American:n
�1546;white:
Higheradjustedoddsofmoldallergensensitivity
testingintheNHANESIII
n�1116
Higheradjustedoddsofasthma
AnalysisofdatafromtheLosAngelesCounty
AA:n
�566;Latino:n
�3675;
Adjustedfor8covariates
50Higheradjustedoddsofneedforurgentmedicalcareforasthma
inpast12mo
HealthSurveyonchildren
�18yofage
API:n
�361;white:n
�1278
Loweradjustedoddsofuseof
�2-agonists
AnalysisofdatafromtheChildhoodAsthma
AA:n
�139;Latino:n
�255;
Adjustedfor9covariates
51Loweradjustedoddsofuseofinhaledsteroids
SeverityStudy,whichuseda12-mo,
retrospective,parent-reported
questionnaireonasthmainacommunity
sampleofchildren
�13yofageand
residinginConnecticutandMassachusetts
white:n
�549
Higheradjustedprevalenceofasthmaoverall
AnalysisofNHISdataonchildren0–17yofage
Adjustedfor8covariates;stratified
52Amongchildrenwithfamilyincomelessthanhalfthefederal
povertylevel,higherprevalenceofasthma
analysessuggesteddisparitiesonly
forpoorestchildren,butsample
sizesforotherstratamaynothave
beenadequate(andnotindicatedin
study)
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Breastfeeding
Lowerproportionofchildreneverbreastfed
Analysisofbreastfeedingdataonchildren
AA:n
�1845;Mexican
Notadjustedforanycovariates
53Lowerproportionofchildrenwhoreceivedanyhumanmilkat6
moofage
12–71moofageintheNHANESIII(1988–
1994)
American:n
�2118;white:
n�1869
Lowerproportionofchildrenexclusivelybreastfedat4moofage
Cardiovascularandhypertension
Higherrelativeriskofallstrokes
AnalysesofdatabasesoftheOfficeof
Notprovided
Notadjustedforcovariates(except
54Higherrelativeriskofintracerebralhemorrhage
StatewideHealthPlanningand
sicklecelldisease)
Higherrelativeriskofsubarachnoidhemorrhage
DevelopmentofCaliforniafor10yonall
Higherrelativeriskofischemicstrokeafterexclusionofsicklecell
disease
admissionstononfederalhospitalsin
California
Healthstatus
Loweradjustedoddsofbeinginexcellent/verygoodhealth
Analysisofcross-sectionaldataonchildren
0–19yofagefromtheCaliforniaHealth
InterviewSurvey
Totalsample:N
�19485b
Adjustedfor4covariates;higher
adjustedoddsofmakingaphysician
visitinthepreviousyear
55
Higheradjustedlikelihoodoffairorpoorhealth
AnalysisofNHISdata
AA:n
�5776;API:n
�1088;
Notadjustedforfamilyincomeor
56Higheradjustedlikelihoodofactivitylimitations
Latino:n
�4785;white:
healthinsurancecoverage(adjusted
Higheradjustedlikelihoodofschoollimitations
n�20717
onlyforage,gender,andparental
education);loweradjusted
likelihoodofacuterespiratory
illnessandinjuries;interactions
notedbetweenrace/ethnicityand
parentaleducationforselected
outcomesinselectedgroups
Greateradjustedscoresofglobalstressinpreviousmonthamong
adolescents
Cohortofadolescentsingrades7–12in1
suburbanMidwesternpublicschool
district
AA:n
�550;white:n
�659
Adjustedfor7covariates;interaction
notedbetweenraceandcollege
education;stressrelatedtoracism
notexamined
57
Higheradjustedoddsofpoor,fair,orgoodhealthstatus(vs
excellent/verygood)
AnalysisofdatafromNationalSurveyofEarly
ChildhoodHealthonchildren4–35moof
age
Totalsample:N
�2068b
Adjustedfor8covariates
58
Greateradjustedoddsofnotbeinginexcellentorverygood
health
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarly
ChildhoodHealth
AA:n
�477;Latino:n
�817;
white:n
�718
Adjustedfor9covariates
32
HIV/AIDS
RepresentlargestpercentagesofnewHIV/AIDSdiagnosesinevery
agegroupofchildrenandadolescentsandinperinatal
transmission
DiagnosesofHIV/AIDSreportedtotheCDCin
2001–2004by33statesthatused
confidential,name-basedreportingofHIV/
AA:n
�11554;Latino:n
�3249;white:n
�3707a
No95%CIsorPvaluespresented;not
adjustedforSESorothercovariates
59
NumberofnewHIV/AIDSdiagnosesineveryagegroupofchildren
andadolescentsandinperinataltransmissionexceedthose
ofallotherracial/ethnicgroupscombined
AIDScasesforatleast4y
Amongfemales,percentagesofnewpediatricHIV/AIDSdiagnoses
are4–9timesthatforwhitefemales
Amongmales,percentagesofnewpediatricHIV/AIDSdiagnoses
are2–7timesthatforwhitemales
LongeradjustedlengthofhospitalstayforHIV-infectedchildren
CohortstudyofpediatricpatientswithHIVat
4sitesspecializinginthecareofpediatric
HIV-infectedpatients
AA:n
�390;Latino:n
�112;
white:n
�66
Adjustedfor8covariates;inpatient
length-of-staydataavailableononly
79patients
60
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Hospitalizations
HigherhospitalizationratesforACSCs
Analysisof6yofdataonchildren1–14y
AA:n
�17599;white:n
�Notadjustedforcovariates;only
61HigherproportionofallhospitaldischargesattributabletoACSCs
ofagefromNationalHospitalDischarge
Surveys,USCensus,andtheNHIS
66270
examined6ACSCs
AsthmacomprisedmuchhigherproportionofallACSCs
Whiteracecategoryincludedallthose
withmissingrace
Immunization
Forchildren
�48moold,lowestrateofbeingup-to-dateon4:3:1:
3:3immunizationseries
RetrospectivecohortstudybasedonChicago
publicschools’computerized
Totalsample:N
�66556b
Notadjustedforcovariates
62
Substantiallygreaterdelayandlatermeanageforall
immunizationcategoriesanddoses
immunizationdatabaseonallchildren
completingkindergartenina2-yperiod
Infectiousdiseases(otherthanHIV/AIDS)
Higherrateratioofinvasivepneumococcaldiseaseamongall3
agegroupsanalyzed(�2,2–4,and5–17yofage)
Analysisofage-andrace-specific
pneumococcaldiseaseincidencerates
fromtheActiveBacterialCore
Surveillance/EmergingInfectionsProgram
Network,anactive,population-based
surveillancesystemin7states,usingdata
frombetweenJanuary1,1998,and
December31,2002
Notstatedforchildren
Notadjustedforcovariates
63
Higherincidencerateoftuberculosis
Analysisof8yofdataonchildren
�15yof
agefromtheNorthCarolinaTuberculosis
InformationManagementSystemdatabase
AA:n
�114;Latino:n
�33;
API:n
�12;white:n
�21
Notadjustedforanycovariates
64
Injuries
Firearminjuryrate
�13timeshigher
AnalysisofdatafromMinnesotaDepartment
ofHealth’sMinnesotaTraumaDataBankon
firearminjuriesinchildren0–19yofage
Totalsample:N
�175b
Notadjustedforcovariates
65
Higheradjustedoddsofnotputtingupstairgate
Analysisofdataonchildren4–35moofage
AA:n
�477;Latino:n
�817;
Adjustedfor9covariates
66Higheradjustedoddsofnotinstallingsafetylatchesorlockson
cabinets
fromtheNationalSurveyofEarly
ChildhoodHealth
white:n
�718
Higheradjustedoddsofnotturningdownhot-waterthermostat
setting
Mentalhealthandbehavioral/developmentalissues
Loweradjustedoddsofreceivingtreatmentfordepressionfroma
mentalhealthspecialist
AnalysisofNationalLongitudinalSurveyof
YouthandtheChild/YoungAdult
supplement,anationallyrepresentative
sampleof7-to14-y-oldchildren
Totalsample:N
�2482b
Adjustedfor28covariates;no
differencesforanyvisitorbehavior
problemvisit
67
LoweradjustedoddofbeingdiagnosedwithADHDwithouta
learningdisability
Analysisof5yoftheNHIS
AA:n
�3562;Latino:n
�5552;white:n
�11287
Adjustedforbirthweight,income,and
healthinsurancecoverage
68
LoweradjustedoddofbeingdiagnosedwithADHDwithalearning
disability
LoweradjustedoddsamongthosewithADHDofreceivingany
prescriptionmedication
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedoddsofanymentalhealthserviceuse
Analysisofoutcomesforarandomsampleof
AA:n
�282;Latino:n
�332;
Parentsandchildrenwithlimited
69Loweradjustedoddsofoutpatientmentalhealthserviceuse
6-to18-y-oldyouthsreceivingservicesin
API:n
�88;white:n
�554
Englishproficiencywereexcluded;
Loweradjustedoddsofinformalmentalhealthserviceuse(self-
helpgroups,peercounseling,clergycounseling,or
alternativehealers)
�1of5SanDiegoCountypublicsectorsof
care(alcoholanddrugabuse,child
welfare,juvenilejustice,mentalhealth,
andpublicschooleducationservices)over
a1.5-yperiod
adjustmentfor12covariates
Amongthosewithautism,receivediagnosis1.4ylaterthanwhite
children(afteradjustment)
Analysisof7yofPhiladelphiaCounty
Medicaidclaimsdataforchildrenand
AA:n
�242;Latino:n
�33;
white:n
�118
Adjustedfor3covariates;Latino
childrendidnotsignificantlydiffer
70
Amongthosewithautism,inmentalhealthtreatmentanaverage
of13molongerthanwhitechildrenbeforereceiving
diagnosisofautism(afteradjustment)
adolescentswithautism
fromAAchildrenforanyfinding,but
nodirectLatino-whitecomparison
made
HigherproportionofparentswithchildrenwithADHDhad
negativeexpectationsaboutADHDtreatment(ie,thought
treatmentcouldnothelp)
District-widestratifiedrandomsampleof
1615elementary-schoolchildren
(kindergartenthrough5thgrade)innorth
AA:n
�201;white:n
�188
Adjustedfor8covariates,except
parent-reportedbarriers,which
wereunadjusted
71
AmongthosewithADHDorathighriskforADHD
centralFloridapublicschool;included
Loweradjustedoddsofreceivingprofessionalevaluationfor
ADHD
telephonecontacts,homevisits,and
teachersymptom-screeningquestionnaire
LoweradjustedoddsreceivingADHDdiagnosis
LoweradjustedoddsofcurrentlyreceivingtreatmentforADHD
Higheradjustedoddsofuseofstate-fundedmentalhealth
services
AnalysisofNewYorkCitydataonreceiptof
servicesfromstate-fundedmentalhealth
carefacilities
Totalsample:N
�78085
(includingadults)b
Adjustedfor7covariates
72
Higheradjustedoddsofdevelopmentaldelays(basedonparental
concerns)
AnalysisofdatafromNationalSurveyofEarly
ChildhoodHealthonchildren4–35moof
age
Totalsample:N
�2068b
Adjustedfor8covariates
58
Loweradjustedoddsofuseofspecialtymentalhealthservices
amongchildrenforwhomaninvestigationofabuseor
neglecthadbeenopenedbythechildwelfaresystem
AnalysisofdatafromtheNationalSurveyof
ChildandAdolescentWell-beingonuseof
specialtymentalhealthservicesfor1y
aftercontactwithchildwelfareamonga
cohortofchildren2–14yofage
AA:n
�899;Latino:n
�487;
white:n
�1208
Adjustedfor11covariatesand2
interactionterms
73
Loweradjustedoddsofreceiptofpsychotropicmedications
Cross-sectionalanalysisofcomputerized
AA:n
�112488;white:n
�Adjustedfor3covariates;disparities
74Loweradjustedoddsofreceiptofstimulantmedications
claimsforchildren2–19yofage
56858
persistedacross4categoriesof
Loweradjustedoddsofreceiptofantidepressants
continuouslyenrolledinamid-Atlantic
Medicaideligibility(SCHIP,
Loweradjustedoddsofreceiptofneuroleptics
stateMedicaidprogramfor1y
TemporaryAssistancetoNeedy
Families
�TANF�,fostercare,and
SupplementalSecurityIncome
�SSI
�)Higheradjustedoddsofchild’smealsnotbeingatthesametime
daily
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarly
AA:n
�477;Latino:n
�817;
white:n
�718
Adjustedfor9covariates
66
Higheradjustedoddsoffamilyeatinglunchordinnertogether
lessoftenthaneveryday
ChildhoodHealth
Higheradjustedoddsoffamilynevereatinglunchordinner
together
Watchanadjustedmeanof45minmoreoftelevisiondaily
Higheradjustedoddsofreadingtochildlessoftenthaneveryday
Loweradjustedmeannumberofchildren’sbooksinhome
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Mortality
Higheradjustedratesofdrowninginaswimmingpool
Analysisof4yofnationaldatafromthe
AA:n
�316;Latino:n
�81;
Adjustedforincome;valuesexpressed
75Higheradjustedratesofdrowninginpublicpools,especially
hotel/motelpools
ConsumerProductsSafetyCommissionon
drowningdeathsofchildren5–24yofage
fromdeathcertificates,medicalexaminer
reports,andnewspaperclippings
AI/AN:n
�18;white:n
�222
asrateratiosand95%CIs,butnoP
valuesprovided
HigheradjustedchildmortalityrateamongboysintheDetroit
tri-countyarea
Combineddeath-certificateandcensusdata
onchildhoodmortalityin3major
AA:n
�13744;white:n
�54846
Adjustedforage,gender,andcensus
tractincome;noconsistentadjusted
76
Higheradjustedchildmortalityrateamong10-to19-y-oldgirlsin
theDetroittri-countyarea
metropolitanareas:Chicago,Detroit,and
NewYork
disparitiesobservedforother2
citiesanalyzed(NewYorkand
Chicago)
MedianageatdeathforthosewithDownsyndromesubstantially
lower(25vs50yamongwhiteindividuals)
Analysisofdatafrommultiple-cause
mortalityfilesonalldeathswitha
Notindicated
Notadjustedforcovariates;includedin
thisanalysisbecauseDown
77
Substantiallyloweraverageincreaseinmedianageatdeathfor
thosewithDownsyndromebetween1968and1997(0.7vs1.9
inwhiteindividuals)
diagnosticcodeforDownsyndrome
syndromecustomarilyviewedas
primarilyapediatricentity
Mortalityfromcongenitalheartdefects19%higheranddeclined
moreslowlyover18-yperiod
Analysisofdatafrommultiple-cause
mortalityfilescompiledbytheNational
Notindicated
Notadjustedforcovariates;small
samplesizesforchildren1–4y
78
Infantmortalityrateforventricularseptaldefecthigherand
persistentlyhigherover18-yperiod
CenterforHealthStatisticsfromalldeath
certificatesfiledintheUnitedStateswith
Lowerincreaseofaverageageatdeathfromcongenitalheart
defectsovertime
anymentionofacongenitalheartdefect
Averageageatdeathfromcongenitalheartdefects3–6times
lower
Abouthalftheaverageageatdeathvswhiteindividualsfor5
specificcongenitalheartdefects:transpositionofthegreat
arteries,tetralogyofFallot,ventricularseptaldefect,
pulmonaryvalveanomalies,andsingleventricle
Almosttwicethemortalityrateforchildren1–4yofagebetween
1950and1993
Analysisof43yofdataonchildren5–14yof
agefromtheNationalVitalStatistics
Notindicated(exceptfortwo
3-yintervals)
Notadjustedforcovariates;presented
onlyaspopulationrates;no
79
Black/whitedisparityratioinmortalityrateforchildren1–4yof
ageincreasedsomewhatduringthemostrecent10-yperiod
examined
System,theNationalLongitudinalMortality
Study,andtheAreaResourceFile
statisticalcomparisonsor95%CIs
Approximately50%highermortalityrateforchildren5–14yof
agebetween1950and1993
Black/whitedisparityratioinmortalityrateforchildren5–14yof
ageincreasedsomewhatduringmostrecent10-yperiod
examined
Higheradjustedrelativeriskofdeathamongchildrenwithout
congenitalanomalies
Retrospectivecohortstudyoflinkedbirth
anddeathfilesforstateofMichiganover
6-yperiod
Totalmortalitysample:N
�8362b
Adjustedfor4covariates;nomortality
disparitiesamongchildrenwith
congenitalanomalies
80
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
HigheradjustedriskofdeathamongthosewithALL
Analysisof9population-basedregistriesof
theNationalCancerInstitute’s
Surveillance,Epidemiology,andEnd
Resultsprogram
AA:n
�356;Latino:n
�504;
NA:n
�61;API:n
�410;
white:n
�3621
Adjustedfor3covariates;didnot
adjustforSESorinsurance
coverage
81
Higheradjustedoddsofin-hospitaldeathaftercongenitalheart
surgery
AnalysisofdatafromtheKID2000ofthe
HCUP,limitedto19stateswithadequate
race/ethnicitydata
AA:n
�860;Latino:n
�1835;
white:n
�4134
Adjustedfor8covariates
82
Nephrology
Amongthosewithend-stagerenaldisease,2.4timesmorelikelyto
beonhemodialysisratherthanperitonealdialysis
AnalysisofdatafromMedicareEnd-Stage
RenalDiseaseregistryonallMedicare-
eligiblechildren0–19yofageundergoing
renalreplacementtherapyintheUnited
States
AA:n
�368;white:n
�870
Adjustedfor10covariates
83
Loweradjustedhemodialysisdose
Childrenandadolescents
�18yoldwithin
AA:n
�65;white:n
�46
Adjustedfor6covariates
84Fourto5timesgreateradjustedlikelihoodofinadequate
hemodialysisdose
theNorthAmericanPediatricRenal
TransplantCooperativeStudyregistrywho
beganmaintenancehemodialysisduringa
6.5-yperiodandwhoreceivedatleast6
consecutivemoofhemodialysis
Amongchildrenwithend-stagerenaldisease,loweradjusted
likelihoodtobeactivatedonthekidneytransplantwaiting
list
Nationallongitudinalcohortstudyusingdata
fromUSRenalDataSystemonchildren
0–18yofagewithend-stagerenaldisease
AA:n
�1122;white:n
�2162
Adjustedfor5covariates;stratified
Kaplan-Meieranalysessuggested
thatracialdisparitiesmayvaryby
SES,withsignificantdifferencesin
lowestbutnothighestSESquartile
85
Obesity,physicalactivity,andnutrition
Selectlargerbodysizeforidealadultbodysizeandidealopposite-
genderadultbodysize
Cross-sectionalsurveyofrandomsampleof
all4th-and6th-gradersinSouthCarolina
AA:n
�749;white:n
�848
Adjustedfor2–3covariates
86
Lesspersonalandfamily/peerconcernaboutweight
publicschools
Significantlyfewertryingtoloseweight
Loweradjustedaerobicfitnesslevel
Progressivetreadmillprotocolevaluationof
aerobicfitness(V̇O 2peak)ofLosAngeles
children7–14yofage,adjustingfor
gender,maturationalstage,andbody
composition
AA:n
�19;Latino:n
�36;
white:n
�18
Adjustedfor3covariatesbutdidnot
includeSES
87
Higheradjustedoddsofoverweight
Analysisofheightandweightdatacollected
during3moofphysicalfitnesstestingof
studentsingrades5,7,and9intheLos
AngelesCountypublicschoolsystem
Totalsample:N
�281630b
Adjustedfor4covariates
88
Higheradjustedlikelihoodofinsulinresistance(cross-sectional
assessment)
Analysisof3yoflongitudinaldatafromthe
PrincetonSchoolDistrictStudyof5th-to
12th-gradersin1suburbanMidwestern
publicschooldistrict
AA:n
�542;white:n
�625
Adjustedfor9covariates;no
significantassociationwithchange
ininsulinresistanceovertime
89
Higherprevalenceofoverweightinboysamong8th-graders(35%)
and10th-graders(35%)
Analysisof10–17yofdatafromMonitoring
theFuture,anationallyrepresentative
Totalsample:N
�4800–17074perstudy
Notadjustedforcovariates
90
Higherprevalenceofoverweightingirlsamong8th-graders
(32%),10th-graders(34%),and12th-graders(28%)(highest
prevalenceamongallracial/ethnicgroupsstudied)
sampleofstudentsinthe8th,10th,and
12thgrades
interval,dependingon
gradeandyeara
Lowerlikelihoodofeatingbreakfastregularly
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Lesslikelytoregularlyexercisevigorouslyamonggirls
Highernumberofhoursoftelevision-viewingonaverageweekday
Higherprevalenceofoverweightandobesityamonggirls(highest
ofanyracial/ethnicgroup)
Cross-sectionalsurveyofadolescents11–18y
ofagein31publicschoolsinthe
Totalsample:N
�4746b
Notadjustedforcovariates,butthe
authorsstatedthatstratified
91
Morelikelytoconsume
�30%ofcaloriesasfatand
�10%of
caloriesassaturatedfat(highestofanyracial/ethnicgroup)
Minneapolis,StPaul,andOsseoschool
districtsofMinnesota
analysesadjustingforgradeand
SESwereperformedbutnot
Lowercalciumintake
reported,becausetheygenerally
showedpatternssimilartothoseof
unadjustedanalyses
HighermeanBMI
Cross-sectionalsurveyandweightandheight
AA:n
�121;Latino:n
�70;
Notadjustedforcovariates;unclear
92HigherBMIpercentile
measurementsofallchildrenin5thgrade
white:n
�12
whatproportionofpotential
Lowermeanconsumptionoffiberper1000kcal
in2middleschoolsinScottCounty,
participantsrefusedtoparticipate
Lowermeanscoresonself-administeredhealthknowledge
questionnaire
Mississippi
Higherprevalenceofoverweight
AnalysisofNHANESdataonchildren2–19yof
agefrom1999–2000and2001–2002
AA:n
�1274;Latino:n
�1475;white:n
�1094
Notadjustedforcovariates
93Higherprevalenceofoverweightamong6-to11-y-olds
Higherprevalenceofoverweightamong12-to19-y-olds
Higherprevalenceofoverweightamonggirls
Higherprevalenceofoverweightamong6-to11-y-oldgirls
Higherprevalenceofoverweightamong12-to19-y-oldgirls
Higherprevalenceofatriskofoverweightoroverweight
Higherprevalenceofatriskofoverweightoroverweightamong
12-to19-y-olds
Higherprevalenceofatriskofoverweightoroverweightamong
girls
Higherprevalenceofatriskofoverweightoroverweightamong
12-to19-y-oldgirls
Higheradjustedoddsofoverweight
Cross-sectionalsampleofCaliforniapublic
AA:n
�58491;Latino:n
�Adjustedfor2covariatesandstratified
94Sloweradjusted1-milerun/walktime
school5th,7th,and9th-graders(10–15y
ofage)
330758;Asian:n
�63292;
PacificIslanders:n
�7977;
Filipino:n
�22598;NA:n
�7977;white:275722
accordingtoage
Ophthalmology
Loweradjustedoddsofbeingdiagnosedwithanyeyeorvision
condition
Analysisof6yofdataforchildren0–17yof
ageintheMEPS
Totalsample:N
�2813b
Adjustedfor13covariates;theauthors
concludedthatdisparitiesindicate
95
Loweradjustedoddsofbeingdiagnosedwithaneyeorvision
conditionotherthanconjunctivitis
possibleunderdiagnosis,
undertreatment,orboth
Orthopedicissues
Fortreatmentofsupracondylarhumerusfractures,morelikelyto
undergoclosedreductionwithinternalfixation
(percutaneouspinning)
Retrospectiveexaminationofselected
pediatricfracturesintheKIDoftheHCUP
AA:n
�207;Latino:n
�659;
white:n
�1478
Notadjustedforcovariates;no
disparitiesforfemurorforearm
fractures
96
Quality
Loweradjustedoddsofreceivinganycounselingduringwell-child
visits
Cross-sectionalanalysisof10yofdataon
children0–18yofagefromtheNational
AmbulatoryMedicalCareSurvey
Totalsample:N
�2892b
Adjustedfor7covariates
97
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedoddsofreceivinganyscreeningduringwell-child
visits
Loweradjustedlikelihoodofmeetingrecommendednumberof
well-childvisits
Analysisof3yofdataforchildren0–17yof
ageintheMEPS
AA:n
�5137;API:n
�890;
Latino:n
�9392;white:n
�14041
Adjustedfor10covariates
98
ChildrenwithcardiovasculardiseasehadbidirectionalGlenn
surgeryatsignificantlyoldermedianage(11vs6moofage
amongwhiteinfants)
ReviewofsurgicaldatabaseatDuke
UniversityMedicalCenterofallchildren
whounderwentbidirectionalGlennor
AA:n
�20;white:n
�47
Althoughnotadjustedforcovariates,
nosignificantdifferencesfound
betweenAAandwhitechildrenin
99
ChildrenwithcardiovasculardiseasehadFontanprocedureat
significantlyoldermedianage(60vs36moofageamong
whitechildren)
Fontanstagesofsingle-ventriclepalliation
overa4-yperiod
medianfamilyincomeforeither
measure
Lowerprimarycareproviderstrength-of-affiliationscores
(unadjustedandadjusted)
Telephonesurveyofparentsofrandom
sampleof413childrenattending
AA:n
�100;API:n
�91;
Latino:n
�84;white:
Adjustedfor11covariates
100
Lowerprimarycareproviderinterpersonalrelationshipscores
(unadjustedandadjusted
�ifrequiredbymanagedcare
organizationtostayinnetwork�)
elementaryschoolin3suburban
communitiesinSanBernardinoCounty,
California
n�102
Loweradjustedscoresfortimelinessofcare
Analysisofparentalsurveydataonchildren
AA:n
�1344;Latino:n
�842;
Adjustedfor4covariates
101
Loweradjustedscoresforhealthinsuranceplanservice
0–17yofagefromthenationalCAHPS
API:n
�291;AI/AN:n
�Loweradjustedscoresforgettingneededmedicalcare
BenchmarkingDatabase1.0administered
byMedicaidsponsorscomprising33
healthmaintenanceorganizationsfrom
Arkansas,Kansas,Minnesota,Oklahoma,
Vermont,andWashington
330;white:n
�6328
Loweradjustedscoresforcomprehensivenessofprimarycare
Cross-sectionalsurveyofparentsofchildren
in228classes,fromkindergartenthrough
6thgrade,at18elementaryschoolsina
largeurbanschooldistrictinCalifornia
AA:n
�458;API:n
�1158;
Latino:n
�1292;white:n
�479
Adjustedfor5covariates
102
Greateradjustedoddsofchildbeingassignedtohealthcare
provider
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarly
AA:n
�477;Latino:n
�817;
white:n
�718
Adjustedfor9covariates
32
Greateradjustedoddsofhealthcareprovidernever/only
sometimesunderstandinghowparentpreferstorearchild
ChildhoodHealth
Greateradjustedoddsofdiscussingviolenceinthecommunity,
smokinginthehousehold,useofalcoholordrugsin
household,troublepayingforchild’sneeds,andspouse/
partnersupportiveofparentingefforts
Specialhealthcareneeds
Loweradjustedoddsofreceivingadequatetimeandinformation
fromchild’shealthcareprovider,amongchildrenwith
specialhealthcareneeds
AnalysisofNationalSurveyofChildrenWith
SpecialHealthCareNeeds
Totalsample:N
�38866b
Adjustedfor6covariates;no
disparitiesinanyunmetneedor
problemwithspecialtyreferral
103
Amongchildrenwithspecialhealthcareneeds
Analysisofdataonchildren0–17yofage
AA:n
�1762;Latino:n
�Adjustedfor9–10covariates
104
Higheradjustedoddsofnotidentifyingaregularclinician
withspecialhealthcareneedsintheNHIS
1777;white:n
�6365
Loweradjustedoddsofusualsourceofcarebeingdoctor’s
privateofficeorhealthmaintenanceorganization
ondisability
Average2fewerdoctorvisitsperyear
Amongchildrenwithspecialhealthcareneeds
Analysisofdataonchildren0–17yofage
Notindicated
Adjustedfor6covariates
105
Higheradjustedoddsofchildhavingnophysicianornurse
fromNationalSurveyofChildrenwith
Higheradjustedoddsofdissatisfactionwithcare
SpecialHealthCareNeeds
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TABLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Amongchildrenwithspecialneeds
Analysisofdataonspecialneedschildren
AA:n
�3820;Latino:n
�Adjustedfor13covariates
106
Greateradjustedoddsofproblemswitheaseofusinghealth
careservices
0–17yofagefromtheNationalSurveyof
ChildrenWithSpecialHealthCareNeeds
3210;white:n
�28916
Surgery
Forthosehospitalizedforappendicitis
Analysisofdataonchildren1–17yofage
Totalsample:N
�428463b
Notadjustedforcovariatesfortimeto
107
Longertimetooperation(regardlessofdiseaseseverity)
withappendicitisfromtheNationwide
operation,lengthofstay,orhospital
Longerlengthofstay(regardlessofdiseaseseverity)
InpatientSampleandtheKID
charges;otheroutcomesinclude
Higherhospitalcharges(regardlessofdiseaseseverity)
adjustmentfor6covariates
Higheradjustedoddsofperforationorothercomplicating
factors
Loweradjustedoddsofalaparoscopicprocedure
Transplantation
Lowerproportion(0%)receivedpreemptivetransplants
Retrospectiveanalysisoftransplantdatabase
AA:n
�37;white:n
�192
RelativelysmallsamplesizeofAA
108
Fewerlivingtransplantsandmorecadaverictransplantsinmost
recenttimeperiod
atCincinnatiChildren’sHospital
children;notadjustedforcovariates
Causeofend-stagerenaldiseasemorelikelytobeacquiredand
lesslikelytobecongenitalormetabolic
Approximatelydoubletheadjustedoddsofhearttransplantation
graftfailure
Analysisof18yofdatafromtheUnited
NetworkforOrganSharing,including
AA:n
�717;white:n
�3510
Adjustmentfor13covariates
109
Lower5-yhearttransplantgraftsurvivalrate
annualfollow-upoftransplantrecipients
Medianhearttransplantgraftsurvivalrate(5.3y)
�6ylower
thanthatforwhitechildren(11.0)
Medianageathearttransplant(8y)5yolderthanthatforwhite
children(3y)
MorelikelytohaveHLAmismatch
Useofhealthservices
Reducedphysicianvisitsundermandatoryenrollmentinmanaged
careamongthosewithMedicaid
Difference-in-differenceanalysisofpre/post
impactofmandatoryenrollmentin
managedcareforMedicaidbeneficiaries
in2unnamedcountiesinanunnamed
Midwesternstate
AA:n
�4891;white:n
�4460
Adjustedfor3covariates(allsubjects
enrolledinMedicaid,sonoSES
adjustment);nodifferences
observedinhospitalizationsorED
use
110
HigheradjustedlikelihoodofmedicallyunnecessaryEMS
transports
AnalysisoflinkedEMSandEDbillingrecords
forallEMS-to-hospitaltransportsof
children0–17yoldoriginatingin3
countiesinSouthCarolinaover27mo
AA:n
�4331;Latino:n
�75;
other:n
�48;white:n
�1239
Adjustedfor4covariates
111
Greateradjustedoddsof
�1ysincelastphysicianvisit
Analysisof3yofNHISdataonchildren0–17y
AA:n
�17324;Latino:n
�Adjustedfor4covariates
112
Loweradjustednumberofphysicianvisitsinprevious12mo
old
12765;API:n
�2516;AI/AN:
Doubletheoddsofsuboptimalhealthstatus
n�1067;white:n
�62572
Amongthosehospitalizedforpneumonia
Analysisof3yofdataonchildren0–17y
AA:n
�17095;Latino:n
�Adjustedfor6–7covariates
113
HigheradjustedriskratioofadmissionthroughEDs
ofagehospitalizedforpneumoniafromthe
15152;API:n
�2050;white:
Loweradjustedoddsofbronchoscopy
NationalInpatientSampleoftheHCUP
n�43180
Loweradjustedoddsofmechanicalventilation
Shorteradjustedlengthofstay
Higheradjustedcharges
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drome, congenital heart defects (bothin terms of the fatality rate and a loweraverage age at death), and in-hospitaldeath after congenital heart surgery.
Access to Care and Use of Services
Multiple noteworthy disparities weredocumented in access to health careand use of health services (Table 1).Disparities in access to care includehigher rates than those of white chil-dren of unmet health care needs,lower rates of access to primary careproviders (including race being morestrongly associated with this outcomethan income), a higher likelihood ofhaving no usual source of care,greater odds of not being referred to aspecialist by the health care provider,higher hospitalization rates for ambu-latory care–sensitive conditions, andhigher odds of appendicitis rupture(considered an access indicator, be-cause it indicates failed access totimely, appropriate care early in thecourse of appendicitis). Disparities inthe use of health services includelower physician-visit rates and higherodds of going 1 year or longer from thelast physician visit, a higher rate ofemergency department (ED) visits,greater likelihood of medically unnec-essary Emergency Medical Servicestransports, fewer calls to physicians’offices, and, among those with Medic-aid coverage, lower odds of well-childcare and diagnosis and treatment forvarious pediatric conditions, andlower expenditures for outpatient andED care and for prescriptions.
Prevention and Population Health
Disparities were identified in breast-feeding, immunization rates, injuries,obesity, physical activity, and nutrition(Table 1). Breastfeeding is significantlyless likely among AA versus white in-fants, whethermeasured by ever beingbreastfed, the proportion exclusivelybreastfed, or the proportion receivingany human milk. AA children have theTA
BLE1Continued Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
AmongMedicaid-coveredchildren
AnalysisofdataonNorthCarolinaMedicaid-
AA:n
�9288;white:n
�11351c
Adjustedfor8–9covariates
114
Loweradjustedoddsofwell-childcarevisitinpreviousyear(at
1,2,and4yofage)
coveredchildren1–4yofagefromlinked
Medicaid,WICservice,andbirthcertificate
data
Loweradjustedoddsofdiagnosisandtreatmentforotitis
media
Loweradjustedoddsofdiagnosisandtreatmentforupper
respiratoryinfections
Loweradjustedoddsofdiagnosisandtreatmentforlower
respiratoryinfections
Loweradjustedoddsofdiagnosisandtreatmentfor
gastroenteritis
Higheradjustedoddsofdiagnosisandtreatmentforasthma
LoweradjustedoutpatientMedicaidexpenditures
LoweradjustedEDMedicaidexpenditures(for3-and4-y-olds)
LoweradjustedprescriptiondrugMedicaidexpenditures
Loweradjustedmeannumberofcallstodoctor’sofficeinpast
year
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarly
AA:n
�477;Latino:n
�817;
white:n
�718
Adjustedfor9covariates
32
Greateradjustedoddsofatleast1EDvisitinpreviousyear
ChildhoodHealth
MEPSindicatesMedicalExpenditurePanelSurvey;CHIRI,ChildHealthInsuranceResearchInitiative;AddHealth,NationalLongitudinalStudyofAdolescentHealth;NHIS,NationalHealthInterviewSurvey;NHANES,NationalHealthandNutritionExamination
Survey;ACSC,ambulatory-care–sensitivecondition;4:3:1:3:3,combinedseriescomposedof
�4dosesofdiphtheriaandtetanustoxoidsandpertussis/diphtheriaandtetanustoxoids/diphtheriaandtetanustoxoidsandacellularpertussisvaccine,
�3
dosesofpoliovirusvaccine,
�1doseofmeasles-containingvaccine,
�3dosesofHaemophilusinfluenzaetypebvaccine,and
�3dosesofhepatitisBvaccine;V̇ O2,oxygenconsumptionperunittime;KID,Kid’sInpatientDatabase;HCUP,HealthcareCost
andUtilizationProject;CAHPS,ConsumerAssessmentofHealthPlansStudy;EMS,EmergencyMedicalServices;WIC,SupplementalNutritionProgramforWomen,Infants,andChildren.
aSamplesizesincludethose0to24yofage,becausethose15to24yofageweregroupedtogether.
bSamplesizeswerenotdisaggregatedinarticleaccordingtorace/ethnicity.
cSamplesizesforinitialcohort(1-y-olds)
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lowest immunization rates for the pri-mary immunization series and havesubstantially greater delays and alater mean age for multiple immuniza-tion categories and doses. They have asubstantially higher firearm injuryrate and, as young children, havehigher odds of living in householdswithout stair gates, cabinet safetylatches or locks, or hot-water thermo-stat settings that have been turneddown.
Studies consistently document higherrates of obesity and overweight in AAchildren (Table 1). One study also re-vealed selection of larger body sizewhen asked to identify ideal adult bodysize; less personal, family, and peerconcern about weight; and fewer chil-dren trying to lose weight. Disparitiesalso have been identified in lower aer-obic fitness levels, slower 1-mile run/walk time, lower likelihood of vigorousexercise in females, and higher num-bers of television-viewing hours. Nutri-tional disparities include a higher like-lihood of consuming more calories asfat and saturated fat, lower mean con-sumption of fiber and calcium, andlower likelihood of eating breakfastregularly.
Adolescent Health Issues
AA female adolescents have higherrisks versus white female adolescentsof skipping breakfast, being obese,lacking health insurance, needing butnot getting medical care, having anysexually transmitted disease, perpe-trating violence, and being a victim ofviolence (Table 1). Several studieshave also documented live birth ratesthat are 2 to 5 times higher than forwhite female adolescents, and the dis-parity ratio has worsened over time.AA female adolescents also havegreater adjusted odds of alcohol test-ing when seen in the ED for traumaticinjury and are particularly at high riskof underusing substance abuse ser-
vices. Male AA adolescents have ahigher risk of perpetrating violenceand being a victim of violence. For AAadolescents of both genders, higherrisks were identified for underuse ofsubstance abuse services, older age atfirst use of substance abuse services,and suboptimal health status andlower use of physicians’ offices as theusual source of care among those re-cently enrolled in a State Children’sHealth Insurance Program (SCHIP).
Health Status
Multiple studies have documentedhealth-status disparities for AA chil-dren, whether analyzing global healthstatus or the prevalence of specificconditions (Table 1). Three studies re-vealed that AA children have higher ad-justed odds of fair or poor health andlower odds of excellent or very goodhealth. Higher rates of activity limita-tions, school limitations, and globalstress also were noted. Significantlyhigher crude rates than in white chil-dren have been seen for all stroke cat-egories (both hemorrhagic and isch-emic), invasive pneumococcal disease,and tuberculosis. HIV/AIDS disparitiesare substantial, and include the larg-est percentages and numbers of newdiagnoses in every age group of chil-dren and adolescents and via perinataltransmission, as well as longer ad-justed lengths of stay for those whoare hospitalized.
Asthma, Mental Health Care, andSpecial Health Care Needs
A particularly extensive body of litera-ture is available on disparities for 3specific issues: asthma, mental healthcare (including behavioral and devel-opmental issues), and special healthcare needs (Table 1).
Several studies have documented thatAA children have the highest asthmaprevalence of any racial/ethnic group,and this prevalence is substantiallyhigher than that for white children
(Table 1). Secular-trend data indicatethat this disparity has widened overtime. Compared with white children,AA children also experience substan-tially higher rates of asthma mortality,hospitalizations, ED visits, and officevisits, and the disparities in asthmamortality and hospitalizations havewidened over time. Additional asthmadisparities include higher attack prev-alence; lower rates of filled prescrip-tions; higher potential disease burden(diagnosed plus possible but undiag-nosed disease); worse asthma physicalhealth scores; lower odds of use of �2-agonists, inhaled steroids, anddaily anti-inflammatory medication; and higherodds of sensitivities to cockroach, dustmite, and mold allergens.
Several key disparities were noted inmental health care and behavioral/de-velopmental disorders. Most study re-sults have indicated lower use of men-tal health services, including loweradjusted odds of any mental healthservice use, outpatient service use, in-formal service use (such as self-helpand peer counseling), receiving treat-ment for depression from mentalhealth specialists, and receipt of psy-chotropic, stimulant, antidepressant,or neuroleptic medications (Table 1).One study, however, found higher oddsof use of state-funded mental healthservices in New York City. Higher ad-justed odds of developmental delayshave been noted, but underdiagnosis,undertreatment, and other disparitiesfor attention-deficit/hyperactivity dis-order (ADHD)were found in other stud-ies, including lower adjusted odds ofevaluation, receiving a diagnosis, andreceiving medication or treatment,and higher proportions of parentswith negative expectations abouttreatment helpfulness. AA childrenalso were found to receive a diagnosisof autism 1.4 years later than whitechildren and to be in mental healthtreatment an average of 13 months
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longer than white children before re-ceiving the autism diagnosis.
National data reveal several dispari-ties for AA children with special healthcare needs (Table 1), including higherodds of having no regular health careprovider, averaging fewer physicianvisits, being dissatisfied with care, en-countering problems with ease of useof services, and not receiving ade-quate time and information from chil-dren’s health care providers.
Quality
Numerous disparities were identifiedin quality of care (Table 1). Lower ad-justed odds versus white childrenwere noted for meeting the recom-mended number of well-child visitsand receiving any counseling orscreening during well-child visits.Lower adjusted scores were observedfor timeliness of care, health insur-ance plan service, getting neededmed-ical care, primary care comprehen-siveness, primary care providerstrength of affiliation, and primarycare provider interpersonal relation-ships. Greater adjusted odds werefound for the child being assigned tothe health care provider; the providernever/only sometimes understandinghow the parent prefers to rear thechild; and the provider discussing vio-lence in the community, smoking in thehousehold, using alcohol or drugs inhousehold, trouble paying for child’sneeds, and spouse/partner support ofparenting efforts.
Among those with end-stage renal dis-ease, AA children are substantially lesslikely than white children to be acti-vated on the kidney transplant waitinglist but are significantly more likely toreceive hemodialysis rather than peri-toneal dialysis and to receive an inad-equate hemodialysis dose. AA childrenhave lower odds than white children ofbeing diagnosed with any eye or visioncondition, are more likely to undergo
closed reduction with internal fixationof supracondylar humerus fractures,undergo bidirectional Glenn and Fon-tan procedures at significantly olderages among those with cardiovasculardisease, and have longer time to oper-ation and lengths of stay, higher hospi-tal charges, higher odds of perforationand other complications, and lowersodds of laparoscopic proceduresamong those with appendicitis. AA pa-tients who have a heart transplanthave double the odds of graft failure,lower graft survival rates, a mediangraft survival time that is 6 yearslower, a median age at heart trans-plant that is 5 years greater, and ahigher likelihood of HLA mismatch. AAchildren are less likely to receive pre-emptive kidney transplants, and theyreceive fewer living transplants andmore cadaveric transplants.
Asians/Pacific Islanders
There were 24 articles (24 of 109[22%]) that addressed disparities inAPI children (Table 2).
Mortality
Only 1 study (Table 2) examined mor-tality among APIs; it revealed that na-tive Hawaiian children have a highercrude mortality rate than that of whitechildren.
Access to Care and Use of Services
Several studies found disparities forAPI versus white children in access tohealth care and use of health services(Table 2). API children have greater ad-justed odds of having no usual sourceof care, having made no visit to a phy-sician or other health care provider inthe past year, and going more than 1year since the last physician visit, aswell as a lower adjusted number ofphysician visits in the past year.Higher adjusted odds of appendicitisrupture also were noted. Among chil-dren with cancer, Pacific Islandershad significantly greater odds of
death, untimely treatment, not com-pleting treatment as recommended,and loss to follow-up.
Prevention and Population Health
Disparities were identified in injuries,lead intoxication, obesity, and nutrition(Table 2). Data from the state of Minne-sota revealed triple the crude firearminjury rate of that in white children. APIchildren were found to have the high-est proportion of elevated blood leadconcentrations in the state of RhodeIsland and are the only racial/ethnicgroup whose rate increased over time.Higher adjusted odds of overweightoccur among Pacific Islander, Filipino,and Asian children, and slower ad-justed 1-mile run/walk times werenoted for most age groups of API chil-dren. API children also have a lowercalcium intake—the lowest of anyracial/ethnic group.
Adolescent Health Issues
Compared with white adolescents, APIadolescents were found to have loweradjusted odds of seatbelt use, sun-screen use, and weekly physical activ-ity and greater adjusted daily hoursof television/video-game screen time(Table 2).
Health Status
APIs have a higher adjusted likelihoodthan that of whites to have fair or poorhealth status (Table 2). Data from thestate of Hawaii revealed that Filipinoand Chinese boys have the highestrates of leukemia, and Chinese boyshave the highest ALL rate.
Mental Health Care
API children have been found to havelower adjusted odds of any mentalhealth service use, outpatient mentalhealth service use, and 24-hour-careservice use (ie, inpatient, residential,group-home, or alcohol/drug abusetreatment) (Table 2). New York Citydata, however, indicate higher ad-
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TABLE2DisparitiesintheHealthandHealthCareofAPIChildren
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Accesstocare
Doubletotripleadjustedoddsofhavingnousual
sourceofcare
Analysisofhouseholdcomponentofthe1996
and2000MEPS
Asian:n
�325;AA:n
�2189;Latino:
n�4091;white:n
�6362
Adjustedfor8covariates;5timestheadjusted
oddsofdissatisfactionwithqualityofcare
28
Doubletotripleadjustedoddsofnohealth
professional/doctorvisitinpreviousyear
in2000butnot1996
Higheradjustedoddsofappendicitisrupture
Cross-sectionalanalysisoffull-yearsamplesof
hospitaldischargerecordsforacute
appendicitisfromCaliforniaandNewYork
children4–18yofage
California:API,n
�459;AA,n
�297;
Latino,n
�4304;white,n
�4017;
NewYork:API,n
�80;AA,n
�342;Latino,n
�444;white,n
�2379
Adjustedfor7covariates
29
Amongchildrenwithcancer,comparedwith
Hawaiianresidents,PacificIslandershad
significantlygreateroddsofdeath,untimely
treatment,notcompletingtreatmentas
recommended,andlosstofollowup
Retrospectivecase-comparisonstudy
PacificIslander:n
�100;Hawaiian
residents:n
�100
Notadjustedforcovariates
115
Adolescents
Loweradjustedoddsofseatbeltuse
AnalysisofCaliforniaHealthInterviewSurvey
API:n
�376;Latino:n
�1515;
Adjustedfor5covariates;interactionsnoted
116
Loweradjustedoddsofsunscreenuse
dataonadolescents12–17yofage
white:n
�3263
withgenerationalstatusforcertain
Loweradjustedoddsofweeklyphysicalactivity
outcomes
Greateradjusteddailyhoursoftelevision/video-
gamescreentime
Cancer
AmongHawaiianracial/ethnicgroups,Filipinoand
Chineseboyshavehighestratesofleukemia,
andChineseboyshavehighestALLrate
Tumorregistryanalysis
Totalcancercases:N
�1237
Adjustedonlyforage
117
Healthstatus
Higheradjustedlikelihoodoffairorpoorhealth
AnalysisofNHISdata
API:n
�1088;AA:n
�5776;Latino:
n�4785;white:n
�20717
Adjustedfor3covariates(butnotfamily
incomeorhealthinsurancecoverage)
56
Interactionsbetweenrace/ethnicityand
parentaleducationforselectedoutcomes
inselectedgroups
Injuries
Triplethefirearminjuryrate
AnalysisofdatafromMinnesotaDepartmentof
Health’sMinnesotaTraumaDataBankon
fatalandnonfatalfirearminjuriesin
children0–19yofage
Totalsample:N
�175a
Notadjustedforcovariates
65
Leadintoxication
APIchildrenhavethehighestproportionofelevated
bloodleadlevels(23%)inRhodeIslandand
areonlygroupwhoseproportionincreased
overtime
RhodeIslandDepartmentofHealth
SurveillanceData
Notstated
NotadjustedforSESorothercovariates
118
Mentalhealthandbehavioral/developmental
issues
Loweradjustedoddsofanymentalhealthservice
use
Analysisofoutcomesforrandomsampleof6-
to18-y-oldyouthsreceivingservicesin
�1
of5SanDiegoCountypublicsectorsofcare
(alcoholanddrugabuse,childwelfare,
juvenilejustice,mentalhealth,andpublic
schooleducationservices)over1.5-yperiod
API:n
�88;AA:n
�282;Latino:n
�332;white:n
�554
ParentsandchildrenwithlimitedEnglish
proficiencywereexcluded
69
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TABLE2Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedoddsofoutpatientmentalhealth
serviceuse
Adjustedfor12covariates
Loweradjustedoddsof24-h-careserviceuse
(inpatient,residentialgrouphome,oralcohol/
drugabusetreatment)
Higheradjustedoddsofuseofstate-fundedmental
healthservices
AnalysisofNewYorkCitydataonreceiptof
servicesfromstate-fundedmentalhealth
carefacilities
Totalsample:N
�78085(including
adults)a
Adjustedfor7covariates
72
Mortality
Approximately50%highermortalityratefor
children1–4yofage
Analysisof43yofdataonchildren5–14yof
agefromtheNationalVitalStatistics
Hawaiianresidents:n
�142;white:
67200
Notadjustedforcovariates;presentedonlyas
populationrates;nostatistical
79
Almost50%highermortalityrateforchildren
5–14yofage
System,theNationalLongitudinalMortality
Study,andtheAreaResourceFile
comparisonsor95%CIs;smallsamplesizes
forHawaiianresidents
Obesity,physicalactivity,andnutrition
HigheradjustedoddsofoverweightamongPacific
Islanderchildren
Analysisofheightandweightdatacollected
during3moofphysicalfitnesstestingof
studentsingrades5,7,and9intheLos
AngelesCountypublicschoolsystem
Totalsample:N
�281630a
Adjustedfor4covariates;Asians(asopposed
toPacificIslanders)hadloweradjusted
odds(vswhitechildren)ofoverweight
88
Lowercalciumintake(lowestofanyracial/ethnic
group)
Cross-sectionalsurveyofadolescents11–18y
ofagein31publicschoolsinthe
Minneapolis,StPaul,andOsseoschool
districtsofMinnesota
Totalsample:N
�4746a
Notadjustedforcovariates;theauthorsstated
thatstratifiedanalysesadjustingforgrade
andSESwereperformedbutnotreported
becausetheygenerallyshowedpatterns
similartothoseofunadjustedanalyses
91
HigheradjustedoddsofoverweightinFilipinos,
PacificIslanders,andAsians(butonlyinmales
forAsians)
Cross-sectionalsampleofCaliforniapublic
school5th-,7th-,and9th-graders(10–15yof
age)
Asian:n
�63292;PacificIslander:
n�7977;Filipino:n
�22598;AA:
n�58491;Latino:n
�330758;
Adjustedfor2covariatesandstratified
accordingtoage;APIchildrenstratifiedas
Asian,Filipino,andPacificIslander;run/
94
Sloweradjusted1-milerun/walktime
NA:n
�7977;white:275722
walktimedifferencesnotsignificantfor
certainspecificagestrataforAsian(2),
Filipino(4),andPacificIslander(7)
Quality
Lowerqualityofprimarycare(accordingto
parentalassessment)
Cross-sectionalsurveyofparentsof
elementary-schoolchildren5–12yofagein
1schooldistrict,usingPrimaryCare
AssessmentTool
API:n
�96;AA:n
�106;Latino:n
�96;white:n
�105
Adjustedfor12covariates;smallersample
size(n
�135)forfullmultivariable
analysismayhavehadlimitedpowerto
detectotherdisparities
119
Lowerprimarycareproviderinterpersonal
relationshipscores(unadjustedandadjusted)
Telephonesurveyofparentsofrandomsample
of413childrenattendingelementaryschool
in3suburbancommunitiesinSan
BernardinoCounty,California
API:n
�91;AA:n
�100;Latino:n
�84;white:n
�102
Adjustedfor11covariates
100
Amongthoseinwhichtheprimarylanguagespoken
athomeisalanguageotherthanEnglish
Analysisofparentalsurveydataonchildren
0–17yofagefromthenationalCAHPS
API:n
�291;AA:n
�1344;Latino:
n�842;AI/AN:n
�330;white:
Adjustedfor4covariates;nodisparitiesfor
APIchildreninhouseholdsinwhichEnglish
101
Loweradjustedscoresfortimelinessofcare
BenchmarkingDatabase1.0administered
n�6328
isprimarylanguage;surveywas
Loweradjustedscoresforprovider
communication
byMedicaidsponsorscomprising33health
maintenanceorganizationsfromArkansas,
administeredonlyinEnglishandSpanish
Loweradjustedscoresforstaffhelpfulness
Kansas,Minnesota,Oklahoma,Vermont,and
Washington
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TABLE2Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedscoresforhealthinsuranceplan
service
Loweradjustedscoresforgettingneeded
medicalcare
Loweradjustedratingsofchild’shealthcare
Loweradjustedoverallqualityofprimarycare
scores
Cross-sectionalsurveyofparentsofchildren
in228classes,fromkindergartenthrough
6thgrade,at18elementaryschoolsina
largeurbanschooldistrictinCalifornia
API:n
�1158;AA:n
�458;Latino:n
�1292;white:n
�479
Adjustedfor5covariates
102
ForthoseinterviewedinEnglish
Loweradjustedscoresontimelyandconvenient
accesstoprimarycare
Loweradjustedscoresonhowwellprimarycare
physicianlistensandexplainsduring
interactions
Loweradjustedscoresforcomprehensivenessof
primarycare
Loweradjustedscoresoncoordinationof
primarycare
Amongthosehospitalizedforpneumonia
Analysisof3yofdataonchildren0–17yof
API:n
�2050;AA:n
�17095;
Adjustedfor6–7covariates
113
Loweradjustedoddsofbronchoscopy
agehospitalizedforpneumoniafrom
Latino:n
�15152;white:n
�Loweradjustedoddsofmechanicalventilation
theNationalInpatientSampleoftheHCUP
43180
Longeradjustedlengthofstay
Higheradjustedcharges
Loweradjustedscoresforinterpersonal
relationshipwithprimarycareprovider
Telephonesurveysonprimarycare
experiencesofchildrenbyusingarandom,
API:n
�88;AA:n
�94;Latino:n
�84;white:n
�92
Adjustedfor9covariates;findingsheldtrue
regardlessofwhethertherewaspatient/
120
Loweradjustedscoresforspecificprimarycare
servicesavailabletochild
cross-sectionalsampleofparentsof
elementaryschoolchildren5–12yofagein
aschooldistrictinSanBernardino,CA
providerracial/ethnicconcordance
Useofhealthservices
Analysisofcross-sectionaldataonchildren
Loweradjustedoddsofbeinginexcellent/verygood
0–19yofagefromtheCaliforniaHealth
Totalsample:N
�19485
Adjustedfor7covariates
55health
Loweradjustedoddsofmakingaphysicianvisitin
InterviewSurvey
Analysisof3yofdataforchildren0–17yof
API:n
�890;AA:n
�5137;Latino:
n�9392;white:n
�14041
Adjustedfor10covariates
Adjustedfor4covariates
98 112
thepreviousyear
Loweradjustedlikelihoodofmeetingrecommended
numberofwell-childvisits
ageintheMEPS
Analysisof3yofNHISdataonchildren
0–17yofage
API:n
�2516;AA:n
�17324;
Latino:n
�12765;AI/AN:n
�1067;white:n
�62572
Greateradjustedoddsof
�1ysincelastphysician
visit
Loweradjustednumberofphysicianvisitsin
previous12mo
Greateradjustedoddsofsuboptimalhealthstatus
MEPSindicatesMedicalExpenditurePanelSurvey;NHIS,NationalHealthInterviewSurvey;HCUP,HealthcareCostandUtilizationProject;CAHPS,ConsumerAssessmentofHealthPlansStudy.
aSamplesizeswerenotdisaggregatedinarticleaccordingtorace/ethnicity.
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justed odds of use of state-fundedmental health services.
Quality
Several studies have documented APIdisparities in primary care quality, in-cluding lower overall quality of pri-mary care scores, lower primary careprovider interpersonal relationshipscores, and lower scores for specificprimary care services available to thechild (Table 2). Lower adjusted pri-mary care quality scores have beenfound for 4 elements of care among APIparents interviewed in English and 6elements of care among API parentsfor whom the primary language spo-ken at home is not English. Amongthose hospitalized for pneumonia, APIchildren have lower adjusted odds ofbronchoscopy and mechanical ventila-tion, a longer adjusted length of stay,and higher adjusted charges.
Latinos
There were 66 articles (67 of 109[61%]) that addressed disparities inLatino children (Table 3).
Mortality
Puerto Rican children 1 to 4 years ofage were found to have a higher crudemortality rate than their white coun-terparts (Table 3). A higher drowningrate in neighborhood pools for Latinosalso was found, along with higherswimming pool drowning rates in gen-eral for Latino male adolescents.Higher adjusted risks of death existamong Latinos (versus whites) withALL and after congenital heart surgery.
Access to Care and Use of Services
Multiple studies have documented awide range of disparities in access tocare and use of services for Latino chil-dren (Table 3). In comparison withwhite children, Latino children havegreater adjusted odds of being unin-sured, having no usual source of careor health care provider, having made
no physician visit in the past year, hav-ing gone 1 year or more since the lastphysician visit, making fewer physi-cian visits in the past year, makingfewer calls to physicians’ offices, notbeing referred to a specialist, having aperforated appendicitis, and never oronly sometimes getting medical carewithout long waits, getting timely rou-tine care or telephone help, and get-ting brief wait times for medical ap-pointments. Similar findings werenoted in studies that focused on Lati-nos before or at the time of enrollmentin SCHIP and amongMexican Americanchildren.
Prevention and Population Health
Disparities were identified in breast-feeding, injuries, obesity, physical ac-tivity, and nutrition (Table 3). Com-pared with white infants, a lowercrude proportion of Mexican-Americaninfants are ever breastfed. Latinohouseholds with children 4 to 35months of age have lower adjustedodds than do white households of put-ting up stair gates. Multiple studieshave documented significantly higheradjusted odds of overweight and obe-sity, including 2 studies that showedthat Latinos have the highest adjustedrates of overweight and obesity of anyracial/ethnic group. Physical-activitydisparities included lower adjustedaerobic fitness, slower 1-mile run/walk times, higher average number oftelevision-viewing hours on the aver-age weekday, and lower regular vigor-ous physical activity among females.Lower calcium intake has been noted,as has as a higher likelihood of con-sumption of more than 10% of caloriesas saturated fat.
Adolescent Health Issues
Latina adolescents have a higher riskthan do white adolescents of not hav-ing health insurance, perpetrating vio-lence, and being a victim of violence.Disparities for male adolescents in-
clude a higher risk of no health insur-ance, going more than 2 years sincethe last physical examination, and be-ing a victim of violence (Table 3). Latinoadolescents recently enrolled in SCHIPhave a higher crude likelihood of fairor poor health and are less likely touse physician’s offices as their usualsource of care. Latina adolescents 15to 19 years of age have a crude birthrate 3 times higher than their whitecounterparts and the highest of any ra-cial/ethnic group. Latino adolescentshave a lower adjusted odds of beingtreated in the ED for sexually transmit-ted diseases, but male Latino adoles-cents with traumatic injuries have ahigher adjusted odds of alcohol testingin the ED. Latino adolescents also havelower adjusted odds of bicycle helmetand sunscreen use.
Health Status
National data reveal a higher adjustedlikelihood of fair or poor health in Lati-nos (Table 3). Compared with whites,Latinos also have twice the percentageof new HIV/AIDS diagnoses amongthose younger than 13 years old, inperinatal transmission, and amongother pediatric cases. They also have ahigher crude incidence rate of tuber-culosis. In terms of Latino subgroups,both Mexican American and PuertoRican children have higher adjustedodds of fair or poor health status.
Asthma, Mental Health Care, andSpecial Health Care Needs
An analysis of national data revealedthat Latinos have a higher asthmaprevalence than do whites, and therehas been a substantial increase inLatino asthma prevalence over time(Table 3). Several studies have docu-mented a particularly high asthmaprevalence among Puerto Ricans.Other asthma disparities includehigher adjusted odds of asthma ED vis-its, hospitalizations, activity limita-tions, and the need for urgent care in
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TABLE3DisparitiesintheHealthandHealthCareofLatinoChildren
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Accesstocare
Tripletheadjustedoddsofhavingnousualsource
ofcare
AnalysisofHouseholdComponentof1996
and2000MEPS
Latino:n
�4091;AA:n
�2189;
Asian:n
�325;white:n
�Adjustedfor8covariates;doubletheadjusted
oddsofdissatisfactionwithqualityofcare
28
Doubletheadjustedoddsofnohealth
professional/doctorvisitinpreviousyear
6362
in1996butnot2000
Loweradjustedoddsofhavingaregularsourceof
care
Analysisofcross-sectionaldataon
children0–19yofagefromthe
Totalsample:N
�19485
Adjustedfor7covariates
55
Loweradjustedoddsofsuretyofaccessinghealth
careamongadolescents
CaliforniaHealthInterviewSurvey
Loweradjustedoddsofbeinginexcellent/very
goodhealth
AmongMexicanAmericanchildren
Cross-sectional,population-based,
MexicanAmerican:n
�2052;
Adjustedfor17covariates;samefindingwhen
121
Loweradjustedoddsofalways/usually
obtainingappointmentforregularorroutine
care
random-digit-dialingsurveyof
parents/guardiansofchildren3–18y
ofageresidingin111countiesinwest
white:n
�2655
MexicanAmericanchildrenstratifiedby
languagespokenathome
Loweradjustedoddsofalways/usually
obtainingcareforillnessorinjury
Texasusing4itemsfromtheCAHPS
Loweradjustedoddsofalways/usually
obtainingadvice/helpovertelephone
Higheradjustedoddsofalways/usuallyhavinga
longwaitindoctor’soffice
Higheradjustedoddsofappendicitisrupturein
California
Cross-sectionalanalysisoffull-year
samplesofhospitaldischargerecords
foracuteappendicitisfromCalifornia
andNewYorkchildren4–18yofage
California:Latino,n
�4304;
API,n
�459;AA,n
�297;
white,n
�4017;NewYork:
API,n
�80;AA,n
�342;
Latino,n
�444;white,n
�2379
Adjustedfor7covariates;nonsignificant
trendobservedinNewYork
29
Higheradjustedproportioninfairorpoorhealth
amongnewSCHIPenrolleesinFloridaand
NewYork
AnalysisofCHIRIdataonnewSCHIP
enrolleesin4states(�18yoldin
Alabama,Kansas,andNewYork,and
Totalsample:N
�8975b
Adjustedfor10covariates
30
Loweradjustedproportionhadpreventivecare
visitsbeforeSCHIPamongnewSCHIP
enrolleesinFloridaandNewYork
11.5–17.9yofageinFlorida)
Loweradjustedproportionhadusualsourceof
carebeforeSCHIPamongnewSCHIP
enrolleesinFloridaandNewYork
BeforeenrollmentinSCHIP
InterviewsofparentsinNewYorkState
Totalsample:N
�2644
Adjustedfor12covariates;1unadjusted
31Loweradjustedrateofhavingusualsourceof
care
atthetimeofSCHIPenrollmentoftheir
child(baseline)and1yafter
(baseline)andN
�2290
(1-yfollow-up)b
quality-of-caredisparitynoted
Higheradjustedrateofhavingunmetneedsfor
healthcare
enrollment
Loweradjustedoddsofalwaysgettingtimely
medicalcarewithoutwaits
AnalysisofCAHPSdataoncross-sectional
cohortfromtheMEPS
Latino:n
�1236;AA:n
�700;
white:n
�2184
Adjustedfor6covariates
122
Loweradjustedoddsofalwaysgettingtimely
telephonehelpformedicalcare
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedoddsofbriefwaittimesfor
medicalappointments
Higheradjustedoddsofnever/onlysometimes
gettingmedicalcarewithoutlongwaits
Higheradjustedoddsofnever/onlysometimes
gettingtimelyroutinecare
Higheradjustedoddsofnever/onlysometimes
gettingtimelytelephonehelp
Higheradjustedoddsofnever/onlysometimes
gettingbriefwaittimesformedical
appointments
Greateradjustedoddsofbeinguninsured
Analysisofdataonchildren4–35mo
Latino:n
�817;AA:n
�477;
Adjustedfor9covariates
32Greateradjustedoddsofnotbeingreferredto
specialistbyhealthcareprovider
ofagefromtheNationalSurveyof
EarlyChildhoodHealth
white:n
�718
Adolescents
Femaleadolescents:higherriskofnohealth
insurance,perpetratingviolence,andbeinga
victimofviolence
AnalysisofAddHealth(waves1and2),a
nationallyrepresentativeschool-based
studyofyouthsingrades7–12,with
Latino:n
�2340;AA:n
�3038;
API:n
�1021;AI/AN:n
�136;white:n
�7728
Prevalenceinpublishedtableswasnot
adjusted;theauthorsstatedthat
adjustmentsforincomeandparental
35
Maleadolescents:higherriskofnohealth
insurance,lastphysicalexamination
�2y
ago,andbeingavictimofviolence
follow-upintoadulthood
educationhadminimalinfluenceon
findings;significantdisparitieswere
identifiedbyusing95%CIsthatdidnot
overlapwithmeasureforwhite
adolescents;noformalstatistical
evaluationofdisparitieswasprovidedin
article
Loweradjustedoddsofbicyclehelmetuse
AnalysisofCaliforniaHealthInterview
Latino:n
�1515;API:n
�376;
Adjustedfor5covariates;interactionsnoted
116
Loweradjustedoddsofsunscreenuse
Surveydataonadolescents12–17yof
age
white:n
�3263
withgenerationalstatusforcertain
outcomes
Livebirthrateforadolescentgirls15–17yofage
�3timeshigher(andhighestforanyracial/
ethnicgroup)
1990–1998natalityfilesfromtheNational
VitalStatisticsSystem
Notprovided
Expressedasratesper1000;ratesnot
adjustedforanycovariates
36
Higherlikelihoodoffair-to-poorhealthamong
adolescentsrecentlyenrolledinSCHIP
AnalysisofCHIRItelephoneinterviewdata
ofadolescentsnewlyenrolledinSCHIP
Totalsample:N
�2036b
Notadjustedforcovariates
33
Lesslikelytousedoctor’sofficesastheirusual
sourceofcareamongadolescentsrecently
enrolledinSCHIP
inFloridaandNewYork(andtheir
parents)
Loweradjustedoddsofbeingtreatedforsexually
transmittedinfectionsintheED
Analysisof7yofdatafromtheNational
HospitalAmbulatoryMedicalCare
Surveyonchildren12–19yofage
Latino:n
�1710;AA:n
�8170;
white:n
�8930
Adjustedfor4covariates
123
Birthratefor15-to19-y-oldgirlsalmost3times
ashigh
BirthcertificatedatareportedtoCDC
NationalCenterforHealthStatistics
Notprovided
Notadjustedforcovariates;noPvaluesor
95%CIs
38
Greateradjustedoddsofalcoholtestingamong
maleadolescentsadmittedtoEDsfor
traumaticinjury
AnalysisofdatafromtheNational
TraumaDataBank(includes64US
institutions)onadolescents12–17yof
ageadmittedtoEDswithtraumatic
injury
Latino:n
�396;AA:n
�1760;
white:n
�5584
Adjustedfor7covariates
39
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Asthmaandallergies
PuertoRicanchildrenhavesignificantlyhigher
adjustedoddsofhavingcurrentasthma(and
areonlyracial/ethnicminoritygroupwith
higheroddsafteradjustmentforincomeand
neighborhoodfactors)
Cross-sectionalparentalsurveyof26
randomlyselectedNewYorkCity
publicelementaryschools
Latino:n
�2058;AA:n
�1171;
white:n
�798;Asian:n
�646
Adjustedfor4covariates;Asianchildrenhad
significantlyloweradjustedoddsofhaving
currentasthma(vswhitechildren)
124
HigheradjustedoddsofanasthmaEDvisitor
hospitalization
Analysisofdatafromparent-response
questionnairesadministeredin26
Totalsample:N
�5250b
Adjustedfor4covariates
45
HigheradjustedoddsofanasthmaEDvisitor
hospitalizationamongPuertoRicans,
Dominicans,and“otherLatinos”butnot
Mexicans
randomlyselectedNewYorkCity
publicelementaryschools
Higherdiagnosedasthmaprevalenceamong
PuertoRicanchildren(22%)
Cross-sectionalanalysisofparent-report
questionnairedatafrom14low-
Latino:n
�6002(PuertoRican:
n�473);AA:n
�2938;
Notadjustedforcovariates
46
Highertotalpotentialasthmaburden(diagnosed
pluspossiblebutundiagnosedasthma)
amongPuertoRicanchildren
income,diverseChicagopublic
elementaryschools
white:n
�1560
Higherasthmaprevalence
Trendsinasthmaovertimeforchildren
Notprovided
Onlyunadjustedrateswerepresented;no
40Substantialriseinasthmaprevalenceover11-y
period(morethandoubled)
0–17yofageusingdatafrom5
NationalCenterforHealthStatistics
sources:NationalHealthInterview
Survey,NationalAmbulatoryMedical
CareSurvey,NationalHospital
AmbulatoryMedicalCareSurvey,
NationalHospitalDischargeSurvey,
andMortalityComponentofNational
VitalStatisticsSystem
differencesorlowerrateofasthmaattack
prevalencevswhitechildren;nostatistical
comparisonsperformedor95%CIs
provided
Loweradjustedoddsofdailyanti-inflammatory
useforasthma
Cross-sectionalstudyusingparental
telephoneinterviewsandelectronic
recordsforMedicaid-insuredchildren
2–16yofagewithasthmain5
managedcareorganizationsin
California,Washington,and
Massachusetts
Latino:n
�313;AA:n
�636;
white:n
�512
AdjustedforSES,healthstatus,age,gender,
andothersociodemographicvariables
48
Higheradjustedoddsofcockroachallergen
sensitivityamongMexicanAmericanchildren
Cross-sectionalanalysisofchildren
6–16yofagewhoparticipatedin
MexicanAmerican:n
�1546;
AA:n
�1502;white:n
�Adjustedfor8covariates;MexicanAmerican
childrenweretheonlyLatinochildren
49
Higheradjustedoddsofdustmiteallergen
sensitivityamongMexicanAmericanchildren
allergentestingintheNHANESIII
1116
examined
Higheradjustedoddsofasthma-associated
activitylimitations
AnalysisofdatafromtheLosAngeles
CountyHealthSurveyonchildren
Latino:n
�3675;AA:n
�566;
API:n
�361;white:n
�Adjustedfor8covariates
50
Higheradjustedoddsofneedforurgentmedical
careforasthmainpast12mo
�18yofage
1278
Loweradjustedoddsofuseofinhaledsteroids
AnalysisofdatafromtheChildhood
Latino:n
�255;AA:n
�139;
Adjustedfor9covariates
51Loweradjustedoddsofuseofinhaledsteroids
amongthosecaredforinprivatepractices
AsthmaSeverityStudy,whichuseda
12-mo,retrospective,parent-reported
questionnaireonasthmaina
communitysampleofchildren
�13y
ofageresidinginConnecticutand
Massachusetts
white:n
�549
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
ForPuertoRicanchildren,higheradjustedoddsof
physician-diagnosedasthma
AnalysisofNHISdataon3-to17-y-oldscurrently
symptomaticwithwheezing
PuertoRican:n
�40;Mexican:
n�122;AA:n
�174;white:
n�610
Adjustedfor10covariates
125
Breastfeeding
Lowerproportionofchildreneverbreastfed
amongMexicanAmericanchildren
Analysisofbreastfeedingdataonchildren12–
71moofageintheNHANESIII(1988–1994)
MexicanAmerican:n
�2118;
AA:n
�1845;white:n
�1869
Notadjustedforanycovariates
53
Healthstatus
Higheradjustedlikelihoodoffairorpoorhealth
Analysisof3yofNHISdataonchildren0–17yof
age
Latino:n
�12765;API:n
�2516;AA:n
�17324;AI/AN:
n�1067;white:n
�62572
Adjustedfor4covariates
112
HIV/AIDS
ApproximatelytwicethepercentageofnewHIV/
AIDSdiagnosesvswhitechildrenforthose
�13yofage,perinataltransmission,and
otherpediatriccases
DiagnosesofHIV/AIDSreportedtotheCDCin
2001–2004by33statesthatused
confidential,name-basedreportingofHIV/
AIDScasesforatleast4y
Latino:n
�3249;AA:n
�11554;white:n
�3707a
No95%CIsorPvaluespresentedfor
children;notadjustedforcovariates
59
NumberofnewHIV/AIDSdiagnosesexceedsthat
forwhitechildrenforthose
�13yofage,
perinataltransmission,andotherpediatric
cases
AlthoughLatinochildrenconstitute14%ofUS
children,numberofnewHIV/AIDSdiagnoses
amongthose0–24yofagea(n
�3249)
almostequaltothatofwhiteindividualsof
sameage(n
�3707)
Infectiousdiseases(otherthanHIV/AIDS)
Higherincidencerateoftuberculosis
Analysisof8yofdataonchildren
�15yofage
fromNorthCarolinaTuberculosis
InformationManagementSystemdatabase
Latino:n
�33;AA:n
�114;
API:n
�12;white:n
�21
Notadjustedforanycovariates
64
Injuries
Higheradjustedoddsofnotputtingupstairgate
Analysisofdataonchildren4–35moofage
fromtheNationalSurveyofEarlyChildhood
Health
Latino:n
�817;AA:n
�477;
white:n
�718
Adjustedfor9covariates
66
Mentalhealthandbehavioral/developmental
issues
Significantlyloweradjustedoddsofexternalizing
behavioraldisorders
Secondaryanalysisof2yofMEPSdataon
children2–18yofage
Total1996MEPSsamplesize:
N�3955;total1997MEPS
Adjustedfor7–9covariates
43
Significantlyloweradjustedoddsofambulatory
visits
samplesize:N
�5933
Loweradjustedlikelihoodofmentalhealth
servicesuseamongMedicaid-eligible
adolescentsinsubstanceabusetreatment
AnalysisofOregon’ssubstanceabusetreatment
database(ClientProcessingMonitoring
System)foradolescents12–17yofage
admittedtopubliclyfundedtreatmentfora
substanceusedisorderduringa9-yperiod
Totalsample:N
�25813b
Adjustedfor17covariates
126
Loweradjustedoddsofreceivingtreatmentfor
anyconditionfromamentalhealthspecialist
AnalysisofNationalLongitudinalSurveyof
YouthandtheChild/YoungAdultsupplement,
anationallyrepresentativesampleof7-to
14-y-oldchildren
Totalsample:N
�2482b
Adjustedfor28covariates
67
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedoddsofreceivingtreatmentfor
behaviorproblemsfromamentalhealth
specialist
Loweradjustedoddsofreceivingtreatmentfor
depressionfromamentalhealthspecialist
Tripletheadjustedoddsofunmetneedformental
healthcare
Cross-sectionalanalysesofdataon
children3–17yofagefromtheNHIS,
theNationalSurveyofAmerican
Families,andtheCommunityTracking
Survey
Latino:n
�695;AA:n
�867;
white:n
�3049
Adjustedfor8covariates
127
Within6moofanewepisodeofdepression
AnalysisofWashingtonstateMedicaid
Latino:n
�90;AI/AN:n
�154;
Adjustedfor5covariates
128
Loweradjustedoddsoffillingan
antidepressantprescription
claimsforchildren5–18yofage
white:n
�1048
Loweradjustedoddsofanymentalhealthvisit
Loweradjustedoddsofanymentalhealthvisit
orantidepressantprescriptionfilled
(combined)
Higherrateofunmetneedformentalhealth
services(noservicesamongchildrenwith
identifiedneed)
AnalysisofdatafromNationalSurveyof
America’sFamiliesforchildren6–17y
ofage
Latino:n
�6022;AA:n
�6371;
white:n
�31240
Notadjustedforcovariates
129
Higheradjustedoddsofuseofstate-funded
mentalhealthservices
AnalysisofNewYorkCitydataonreceipt
ofservicesfromstate-fundedmental
healthcarefacilities
Totalsample:N
�78085
(includingadults)b
Adjustedfor7covariates
72
Substantiallyloweradjustedoddsofreceivingan
ADHDdiagnosisduringoutpatientprimary
careprovidervisits
Analysisof6yofdataonchildren3–18y
ofagefromNationalAmbulatory
MedicalCareSurveyandNational
Latino:n
�4117;AA:n
�5074;
white:n
�16406
Adjustedfor3covariates
130
Substantiallyloweradjustedoddsofreceivinga
stimulantprescriptionduringoutpatient
primarycareprovidervisits
HospitalAmbulatoryMedicalCare
Survey
Substantiallyloweradjustedoddsofreceivingan
ADHDdiagnosisorstimulantprescription
duringoutpatientprimarycareprovider
visits
Higheradjustedoddsofdevelopmentaldelays
(basedonparentalconcerns)
AnalysisofdatafromNationalSurveyof
EarlyChildhoodHealthonchildren
4–35moofage
Totalsample:N
�2068b
Adjustedfor8covariates
58
Loweradjustedoddsofuseofspecialtymental
healthservicesamongchildrenforwhoman
investigationofabuseorneglecthadbeen
openedbythechildwelfaresystem
AnalysisofdatafromtheNationalSurvey
ofChildandAdolescentWell-beingon
useofspecialtymentalhealthservices
for1yaftercontactwithchildwelfare
amongacohortofchildren2–14yof
age
Latino:n
�487;AA:n
�899;
white:n
�1208
Adjustedfor11covariatesand2interaction
terms;nolongersignificantadjustedodds
in1of3models(whenprovidersupply,
linkagevariables,andinteractionsadded)
73
Higheradjustedoddsoffamilynevereatinglunch
ordinnertogether
Analysisofdataonchildren4–35moof
agefromtheNationalSurveyofEarly
Latino:n
�817;AA:n
�477;
white:n
�718
Adjustedfor9covariates
66
Higheradjustedoddsofreadingtochildlessthan
everyday
ChildhoodHealth
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Loweradjustedmeannumberofchildren’sbooks
inhome
Mortality
Higherswimmingpooldrowningratesfor
adolescentboys
Analysisof4yofnationaldatafromthe
ConsumerProductsSafety
Latino:n
�81;AA:n
�316;
AI/AN:n
�18;white:n
�Adjustedforincome;valuesexpressedasrate
ratiosand95%CIs,butnoPvalueswere
75
Higherratesofdrowninginneighborhoodpools,
includingcommunitysharedapartmentand
housingcomplexpools
Commissionondrowningdeathsof
children5–24yofagefromdeath
certificates,medicalexaminerreports,
andnewspaperclippings
222
provided
HighermortalityrateforPuertoRicanchildren
1–4yofage
Analysisof6yofdataonchildren5–14y
ofagefromtheNationalVitalStatistics
System,theNationalLongitudinal
MortalityStudy,andtheAreaResource
File
PuertoRican:n
�265;white:n
�67200
Notadjustedforcovariates;presentedonlyas
populationrates;nostatistical
comparisonsor95%CIs;smallsample
sizesin1979–1981interval
79
Higheradjustedriskofdeathamongthosewith
ALL
Analysisof9population-basedregistries
oftheNationalCancerInstitute’s
Surveillance,Epidemiology,andEnd
Resultsprogram
Latino:n
�504;AA:n
�356;
AI/AN:n
�61;API:n
�410;
white:n
�3621
Adjustedfor3covariates;didnotadjustfor
SESorinsurancecoverage
81
Higheradjustedoddsofin-hospitaldeathafter
congenitalheartsurgery
Analysisofdatafromthe2000KIDofthe
HCUP,limitedto19stateswith
adequaterace/ethnicitydata
Latino:n
�1835;AA:n
�860;
white:n
�4134
Adjustedfor8covariates;infullmodel,P
valueforLatinoethnicitywas.05
82
Obesity,physicalactivity,andnutrition
Significantlyloweradjustedaerobicfitnesslevel
Progressivetreadmillprotocolevaluation
ofaerobicfitness(V̇O 2peak)ofLos
Angeleschildren7–14yofage,
adjustingforgender,maturational
stage,andbodycomposition
Latino:n
�36;AA:n
�19;
white:n
�18
Adjustedfor3covariatesbutnotSES
87
Doubletheadjustedoddsofoverweight
Analysisofheightandweightdata
Totalsample:N
�281630b
Adjustedfor4covariates
88Highestoverweightprevalenceofanyracial/ethnic
group
collectedin3moofphysicalfitness
testingofstudentsingrades5,7,and
9intheLosAngelesCountypublic
schoolsystem
Higherprevalenceofoverweightinboysamong
8th-graders(35%),10th-graders(40%),and
12th-graders(30%)(highestprevalence
amongallracial/ethnicgroupsstudied)
Analysisof10–17yofdatafrom
MonitoringtheFuture,anationally
representativesampleofstudentsin
the8th,10th,and12thgrades
Totalsample:N
�4800–17074
perstudyinterval,
dependingongradeand
yearb
Notadjustedforcovariates
90
Higherprevalenceofoverweightingirlsamong
8th-graders(27%),10th-graders(32%),and
12th-graders(19%)(highestprevalence
amongallracial/ethnicgroupsstudied)
Lowerlikelihoodofeatingbreakfastregularly
Lesslikelytoregularlyexercisevigorouslyamong
girls
Highernumberofhoursoftelevision-viewingon
averageweekday
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Higherprevalenceofoverweightandobesity
Cross-sectionalsurveyofadolescents
Totalsample:N
�4746b
Notadjustedforcovariates,butstratified
91Boysmorelikelytoconsume
�10%ofcaloriesas
saturatedfat
11–18yofagein31publicschoolsin
theMinneapolis,StPaul,andOsseo
analysesadjustingforgradeandSESwere
performedbutnotreportedbecause
Lowercalciumintake
schooldistrictsofMinnesota
generallyshowedpatternssimilartothose
ofunadjustedanalyses
AmongMexicanAmericans
AnalysisofNHANESdataonchildren2–19
Latino:n
�1475;AA:n
�1274;
Notadjustedforcovariates;Mexican
93Higherprevalenceofoverweight
yoldfrom1999–2000and2001–2002
white:n
�1094
AmericansonlyLatinogroupanalyzed
Higherprevalenceofoverweightamong6-to
11-y-olds
Higherprevalenceofoverweightamong12-to
19-y-olds
Higherprevalenceofoverweightamongboys
(andhighestofallracial/ethnicgroups
analyzed)
Higherprevalenceofoverweightamong6-to
11-y-oldboys(andhighestofallracial/ethnic
groupsanalyzed)
Higherprevalenceofoverweightamong12-to
19-y-oldboys
Higherprevalenceofoverweightamonggirls
Higherprevalenceofatriskofoverweightor
overweight(andhighestofallracial/ethnic
groupsanalyzed)
Higherprevalenceofatriskofoverweightor
overweightamong6-to11-y-olds
Higherprevalenceofatriskofoverweightor
overweightamong12-to19-y-olds
Higherprevalenceofatriskofoverweightor
overweightamongboys(andhighestofall
racial/ethnicgroupsanalyzed)
Higherprevalenceofatriskofoverweightor
overweightamong6-to11-y-oldboys(and
highestofallracial/ethnicgroupsanalyzed)
Higherprevalenceofatriskofoverweightor
overweightamong12-to19-y-oldboys(and
highestofallracial/ethnicgroupsanalyzed)
Higherprevalenceofatriskofoverweightor
overweightamonggirls
Higherprevalenceofatriskofoverweightor
overweightamong12-to19-y-oldgirls
Higheradjustedoddsofoverweightandhighest
adjustedoddsofanyracial/ethnicgroup
Cross-sectionalsampleofCalifornia
publicschool5th,7th,and9th-graders
Latino:n
�330758;AA:n
�58491;Asian:n
�63292;
Adjustedfor2covariatesandstratified
accordingtoage
94
Sloweradjusted1-milerun/walktime
(10–15yold)
PacificIslander:n
�7977;
Filipino:n
�22598;AI/AN:n
�7977;white:n
�275722
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Orthopedics
Fortreatmentofsupracondylarhumerus
fractures,morelikelytoundergoclosed
reductionwithinternalfixation
(percutaneouspinning)
Retrospectiveexaminationofselected
pediatricfracturesintheKIDofthe
HCUP
Latino:n
�659;AA:n
�207;
white:n
�1478
Notadjustedforcovariates;nodisparities
seenforfemurorforearmfractures
96
Quality
Loweradjustedoddsofreceivinganycounseling
duringwell-childvisits
Cross-sectionalanalysisof10yofdata
onchildren0–18yofagefromthe
Totalsample:N
�2892b
Nomultivariableadjustmentsperformedfor
visitduration;counselingfindingswere
97
Shorterwell-childvisitduration
NationalAmbulatoryMedicalCare
Survey
adjustedfor7covariates
Lowerprimarycareproviderstrength-of-affiliation
scores(unadjustedandadjusted)
Telephonesurveyofparentsofrandom
sampleof413childrenattending
Latino:n
�84;AA:n
�100;
API:n
�91;white:n
�102
Adjustedfor11covariates
100
Lowerprimarycareproviderinterpersonal
relationshipscores(unadjustedand
adjusted
�ifrequiredbymanagedcare
organizationtoseekreferralandtostayin
network�)
elementaryschoolin3suburban
communitiesinSanBernardino
County,California
Amongthoseinwhichtheprimarylanguage
spokenathomeisalanguageotherthan
English
Analysisofparentalsurveydataon
children0–17yofagefromthe
nationalCAHPSBenchmarking
Latino:n
�842;AA:n
�1344;
API:n
�291;AI/AN:n
�330;
white:n
�6328
Adjustedfor4covariates;nodisparitiesnoted
forLatinochildreninhouseholdsinwhich
Englishisprimarylanguage
101
Loweradjustedscoresfortimelinessofcare
Database1.0administeredby
Loweradjustedscoresforprovider
communication
Medicaidsponsorscomprising33
healthmaintenanceorganizations
fromArkansas,Kansas,Minnesota,
Loweradjustedscoresforstaffhelpfulness
Oklahoma,Vermont,and
Loweradjustedscoresforhealthinsurance
planservice
Washington
Loweradjustedratingsofchild’spersonal
doctor
Loweradjustedratingsofspecialist
Loweradjustedratingsofhealthplan
AmongthoseseenintheEDforacute
gastroenteritis
AllpatientsseenintheEDovera6-mo
periodwithadischargediagnosisof
Latino:n
�143;AA:n
�122;
white:n
�132
Adjustedfor7covariates
131
Loweradjustedlikelihoodtoundergo
�2
diagnostictests
acutegastroenteritisasidentified
throughacomputerizedpatientlog
Loweradjustedlikelihoodofhavingundergone
radiography
Lowermeanparticipatorydecision-making
scoreforchild’sphysician
Cross-sectional,population-based,
random-digit-dialingsurveyof
parents/guardiansofchildren3–18y
ofageresidingin111countiesinwest
Texas
Latino:n
�1720;white:n
�2156
Adjustedfor11covariates
132
Loweradjustedscoresforcomprehensivenessof
primarycare
Cross-sectionalsurveyofparentsof
childrenin228classes,from
kindergartenthrough6thgrade,at18
elementaryschoolsinalargeurban
schooldistrictinCalifornia
Latino:n
�1292;API:n
�1158;AA:n
�458;white:
n�479
Adjustedfor5covariates
102
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Amongthosehospitalizedforpneumonia
Analysisof3yofdataonchildren
Latino:n
�15152;API:n
�Adjustedfor6–7covariates
113
Higheradjustedriskratioofadmissionthrough
EDs
0–17yofagehospitalizedfor
pneumoniafromtheNationalInpatient
2050;AA:n
�17095;white:
n�43180
Loweradjustedoddsofbronchoscopy
SampleoftheHCUP
Loweradjustedoddsofmechanicalventilation
Longeradjustedlengthofstay
Higheradjustedcharges
Greateradjustedoddsofchildbeingassignedto
healthcareprovider
Analysisofdataonchildren4–35moof
agefromtheNationalSurveyofEarly
Latino:n
�817;AA:n
�477;
white:n
�718
Adjustedfor9covariates
32
Greateradjustedoddsofparentbeingnotvery
likelytorecommendchild’swell-childcare
provider
ChildhoodHealth
Greateradjustedoddsofhealthcareprovider
never/onlysometimesunderstandinghow
parentpreferstorearchild
Greateradjustedoddsofhealthcareprovider
never/onlysometimesunderstandingchild’s
specificneeds
Greateradjustedoddsofdiscussingviolencein
thecommunity,anduseofalcoholordrugs
inhousehold
Specialhealthcareneeds
Amongchildrenwithspecialhealthcareneeds
Analysisofdataonchildren0–17yofage
Latino:n
�1777;AA:n
�1762;
Adjustedfor9–10covariates
104
Higheradjustedoddsofbeinguninsured
withspecialhealthcareneedsinthe
white:n
�6365
Higheradjustedoddsofhavingnousualsource
ofcare
NHISondisability
Higheradjustedoddsofnotidentifyinga
regularclinician
Higheradjustedoddsofnotbeingsatisfiedwith
care
Higheradjustedoddsofbeingunabletoget
neededmedicalcare
Loweradjustedoddsofusualsourceofcare
beingdoctor’sprivateofficeorhealth
maintenanceorganization
Higheradjustedoddsofnothavingseendoctor
inprevious12mo
Average2fewerdoctorvisitsperyear
Loweradjustedoddsofreceivingadequatetime
andinformationfromchild’shealthcare
provider
AnalysisofNationalSurveyofChildren
WithSpecialHealthCareNeeds
Totalsample:N
�38866b
Adjustedfor6covariates;nodisparitiesin
anyunmetneedorproblemwithspecialty
referral
103
Amongchildrenwithspecialhealthcareneeds
Analysisofdataonchildren0–17yofage
Notindicated
Adjustedfor6covariates
105
Higheradjustedoddsofhavingnousualsource
ofcare
fromtheNationalSurveyofChildren
WithSpecialHealthCareNeeds
Higheradjustedoddsofhavingdifficulty
receivingreferralsforspecialtycare
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TABLE3Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Higheradjustedoddsofdissatisfactionwith
care
Higheradjustedoddsoffamilymembershaving
toreduceorstopemploymentbecauseof
child’scondition
Amongchildrenwithspecialhealthcareneeds
Analysisofdataonchildren0–17yofage
Latino:n
�3424;API:n
�197;
Adjustedfor6covariates
133
Higheradjustedoddsofnotreceivingfamily-
centeredcare
fromtheNationalSurveyofChildren
WithSpecialHealthCareNeeds
AA:n
�3833;white:n
�28967
Higheradjustedoddsofparentsexperiencing
employmentconsequencesasaresultof
child’scondition
Amongchildrenwithspecialneeds
Analysisofdataonspecial-needs
Latino:n
�3210;AA:n
�3820;
Adjustedfor13covariates
106
Greateradjustedoddsofproblemswitheaseof
usinghealthcareservices
children0–17yofagefromthe
NationalSurveyofChildrenWith
SpecialHealthCareNeeds
white:n
�28916
Surgery
Forthosehospitalizedforappendicitis
Analysisofdataonchildren1–17yofage
Totalsample:N
�428463b
Notadjustedforcovariatesfortimeto
107
Longertimetooperation(regardlessofdisease
severity)
withappendicitisfromtheNationwide
InpatientSampleandtheKID
operation,lengthofstay,orhospital
charges;otheroutcomesinclude
Longerlengthofstay(regardlessofdisease
severity)
adjustmentfor6covariates
Higherhospitalcharges(regardlessofdisease
severity)
Higheradjustedappendicitisrate
Higheradjustedoddsofperforationorother
complicatingfactors
Useofhealthservices
Greateradjustedoddsof
�1ysincelastphysician
visit
Analysisof3yofNHISdataonchildren
0–17yofage
Latino:n
�12765;AA:n
�17324;API:n
�2516;AI/AN:
Adjustedfor4covariates
112
Loweradjustednumberofphysicianvisitsin
previous12mo
n�1067;white:n
�62572
Greateradjustedoddsofsuboptimalhealthstatus
GreateradjustedoddsamongPuertoRican
childrenofsuboptimalhealthstatus
MexicanAmericanchildrenhadgreateradjusted
oddsofsuboptimalhealthstatusand
�1y
sincelastphysicianvisitandmadealower
adjustednumberofphysicianvisitsinthe
previousyear
Loweradjustedmeannumberofcallstodoctor’s
officeinpreviousyear
Analysisofdataonchildren4–35moof
agefromtheNationalSurveyofEarly
ChildhoodHealth
Latino:n
�817;AA:n
�477;
white:n
�718
Adjustedfor9covariates
32
MEPSindicatesMedicalExpenditurePanelSurvey;CHIRI,ChildHealthInsuranceResearchInitiative;AddHealth,NationalLongitudinalStudyofAdolescentHealth;NHIS,NationalHealthInterviewSurvey;NHANES,NationalHealthandNutritionExamination
Survey;KID,Kid’sInpatientDatabase;HCUP,HealthcareCostandUtilizationProject;CAHPS,ConsumerAssessmentofHealthPlansStudy;V̇ O2,oxygenconsumptionperunittime.
aSamplesizesincludesthose0to24yearsofage,becausetheCDCgroupedthose15to24yearsofagetogether.
bSamplesizeswerenotdisaggregatedinarticleaccordingtorace/ethnicity.
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the previous 12 months, as well as ahigher potential asthma burden (diag-nosed plus possible but undiagnosedasthma). Latinos have lower adjustedodds of use of inhaled steroids and ofdaily anti-inflammatory medications.Disparities among Latino subgroups(compared with white children) in-clude higher adjusted odds of asthmaED visits and hospitalizations amongPuerto Ricans, Dominicans, and “otherLatinos” (except Mexican Americans)and higher adjusted odds of cockroachand dust mite allergen sensitivityamong Mexican Americans.
Eleven studies documented Latino dis-parities in mental health care and be-havioral/developmental issues (Table3). Disparities included significantlyhigher unmet need for mental healthcare, and lower odds of any mentalhealth visit, outpatient visits, antide-pressant prescriptions, and receivingtreatment from a mental health spe-cialist for any condition, behaviorproblems, or depression. Latinos havehigher odds of developmental delaysbut lower odds of being diagnosedwith externalizing behavioral disor-ders. Lower odds were noted for use ofmental health services among chil-dren being investigated for possibleabuse or neglect and among Medicaid-eligible teenagers in substance abusetreatment, although 1 study foundhigher odds of use of state-fundedmental health services in New YorkCity. Latinos have substantially loweradjusted odds of receiving an ADHD di-agnosis or receiving stimulant pre-scriptions during outpatient primarycare visits. Young Latino children havehigher adjusted odds of being read toless than every day, of having fewernumbers of children’s books in thehousehold, and of the family never eat-ing lunch or dinner together.
Many disparities have been docu-mented for Latino children with spe-cial health care needs, including
higher adjusted odds of being unin-sured, having no usual source of care,parental dissatisfaction with care,having unmet medical care needs, nothaving seen the physician in the pastyear, not receiving adequate time andinformation from the health care pro-vider, averaging fewer doctor visitsper year, experiencing difficulties re-ceiving specialty referrals, having fam-ily members reduce or stop employ-ment because of the child’s condition,not receiving family-centered care,and experiencing problems with easeof use of health care services.
Quality
Compared with white children, Latinochildren have higher adjusted odds ofbeing assigned to a health care pro-vider and lower adjusted scores forcomprehensiveness of primary careand primary care provider strength ofaffiliation, interpersonal relationship,and participatory decision-making (Ta-ble 3). Latino children have a shorteraverage well-child visit duration, loweradjusted odds of receiving any coun-seling during well-child visits, andgreater adjusted odds of the parentnot being very likely to recommend thechild’s health care provider, of thehealth care provider never or onlysometimes understanding the child’sspecific needs and how the parent pre-fers to rear the child, and of the pro-vider discussing violence in the com-munity and use of alcohol or drugs inthe household. Similar disparities inthe quality of primary care were notedfor Latino children living in householdsin which English is not the primary lan-guage spoken (in comparison withwhite children).
Among those seen in the ED with acutegastroenteritis, Latino children hadlower adjusted odds than white chil-dren of undergoing 2 or more diagnos-tic tests and of having undergone radi-ography (Table 3). Among children
with supracondylar humerus frac-tures, Latinos were more likely to un-dergo closed reduction with internalfixation.
American Indians and AlaskaNatives
Sixteen articles (15%) addressed dis-parities in AI/AN children, which is thefewest articles for any racial/ethnicgroup (Table 4).
Mortality
AI/AN children have a higher age-specific crude mortality rate com-pared with that of white children, bothin national and urban samples (Table4). A higher adjusted risk of death alsohas been documented for AI/AN chil-dren with ALL.
Use of Health Services
AI/AN children have higher adjustedodds than white children of going 1year or longer since their last physi-cian visit (Table 4).
Prevention and Population Health
Data from the state of Minnesota re-veal a firearm injury rate for AI/AN chil-dren that is more than 7 times higherthan that for their white counterparts(Table 4). Several studies have docu-mented higher adjusted odds of over-weight and obesity among AI/AN chil-dren. Other studies have shown aslower adjusted 1-mile run/walk timeand lower calcium intake among AI/ANboys.
Adolescent Health Issues
Female AI/AN adolescents have higherrisks than their white counterparts ofneeding but not getting medical careand of perpetrating violence (Table 4).Male AI/AN adolescents have a higherrisk than their white counterparts ofskipping breakfast, having poor/fairhealth status, and perpetrating vio-lence. National data from 2 studies re-vealed that the birth rate for AI/AN fe-
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TABLE4DisparitiesintheHealthandHealthCareofAI/ANChildren
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Adolescents
Femaleadolescents:higherrisksofneedingbut
notgettingmedicalcareandperpetrating
violence
AnalysisofAddHealth(waves1and2),anationally
representativeschool-basedstudyofyouthsin
grades7–12,withfollow-upintoadulthood
AI/AN:n
�136;AA:n
�3038;
API:n
�1021;Latino:n
�2340;white:n
�7728
Prevalenceinpublishedtablesnotadjusted,
butauthorsstatedthatadjustmentsfor
incomeandparentaleducationhad
35
Maleadolescents:higherriskofskipping
breakfast,poor/fairhealthstatus,and
perpetratingviolence
minimalinfluenceonfindings;significant
disparitieswereidentifiedbyusing95%
CIsthatdidnotoverlapwithmeasurefor
whiteadolescents;noformalstatistical
evaluationofdisparitiesprovided
Livebirthrateforadolescentgirls15–17yof
age
�2timeshigher
1990–1998natalityfilesfromtheNationalVital
StatisticsSystem
Notprovided
Expressedasratesper1000;notadjusted
forcovariates
36
Birthratefor15–19y-oldgirlsalmost3times
ashigh
BirthcertificatedatareportedtotheCDCNational
CenterforHealthStatistics
Notprovided
Notadjustedforcovariates;noPvaluesor
95%CIs
38
Injuries
Firearminjuryrate
�7timeshigher
AnalysisofdatafromMinnesotaDepartmentof
Totalsample:N
�175a
Notadjustedforcovariates
65Health’sMinnesotaTraumaDataBankonfatal
andnonfatalfirearminjuriesinchildren0–19y
ofage
Mentalhealthandbehavioral/developmental
issues
Loweradjustedlikelihoodofmentalhealth
servicesuseamongMedicaid-eligibleand
non–Medicaid-eligibleadolescentsin
substanceabusetreatment
AnalysisofOregon’ssubstanceabusetreatment
database(ClientProcessingMonitoringSystem)
foradolescents12–17yofageadmittedto
publiclyfundedtreatmentforasubstanceuse
disorderduringa9-yperiod
Totalsample:N
�25813a
Adjustedfor17covariates
126
Within6moofanewepisodeofdepression
AnalysisofWashingtonStateMedicaidclaimsfor
children5–18yofage
AI/AN:n
�154;Latino:n
�90;
white:n
�1048
Adjustedfor5covariates
128
Loweradjustedoddsoffillingan
antidepressantprescription
Loweradjustedoddsofanymentalhealth
visitorantidepressantprescriptionfilled
Mortality
Significantlyhigherage-specificmortalityrate
among1-to14-y-oldurbanchildren(vs
urbanwhitechildren)
Vitalstatisticsdatafor10yfromKingCounty,
Washington
Notstatedforthisoutcome
Notadjustedforcovariates
134
Approximately50%highermortalityratefor
children1–4yofage
Analysisof6yofdataonchildren5–14yofage
fromtheNationalVitalStatisticsSystem,the
AI/AN:n
�1336;white:n
�67200
Notadjustedforcovariates;presentedonly
aspopulationrates;nostatistical
79
Highermortalityrateforchildren5–14yofage
NationalLongitudinalMortalityStudy,andthe
AreaResourceFile
comparisonsor95%CIs
Higheradjustedriskofdeathamongthosewith
ALL
Analysisof9population-basedregistriesofthe
NationalCancerInstitute’sSurveillance,
Epidemiology,andEndResultsprogram
AI/AN:n
�61;AA:n
�356;
API:n
�410;Latino:n
�504;white:n
�3621
Adjustedfor3covariates;notadjustedfor
SESorinsurancecoverage
81
Obesityphysicalactivityandnutrition
Higheradjustedoddsofoverweight
Analysisofheightandweightdatacollectedin3
moofphysicalfitnesstestingofstudentsin
grades5,7,and9intheLosAngelesCounty
publicschoolsystem
Totalsample:N
�281630a
Adjustedfor4covariates
88
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TABLE4Continued
Disparity(vsWhiteChildren)
StudyDesign
SampleSize(s)
Notes
RefNo.
Higherprevalenceofoverweightandobesity
(highestprevalenceofanyracial/ethnic
groupforboys)
Cross-sectionalsurveyofadolescents11–18yof
agein31publicschoolsintheMinneapolis,
StPaul,andOsseoschooldistrictsofMinnesota
Totalsample:N
�4746a
Notadjustedforcovariates,butauthors
statedthatstratifiedanalysesadjusting
forgradeandSESwereperformedbut
91
Lowercalciumintakeamongboys
notreportedbecausetheygenerally
showedpatternssimilartothoseof
unadjustedanalyses
Higheradjustedoddsofoverweight
Cross-sectionalsampleofCaliforniapublicschool
AI/AN:n
�7977;AA:n
�Adjustedfor2covariatesandstratified
94Sloweradjusted1-milerun/walktime
5th-,7th-,and9th-graders(10–15yold)
58491;Asian:n
�63292;
Filipino:n
�22598;Latino:
n�330758;Pacific
Islander:n
�7977;white:
275722
accordingtoage;run/walktimesnot
significantlydifferentfor2olderstrata
forbothgenders
Ophthalmology
Loweradjustedoddsofbeingdiagnosedwith
anyeyeorvisioncondition
Analysisof6yofdataforchildren0–17yofagein
theMEPS
Totalsample:N
�2813a
Adjustedfor13covariates;theauthors
concludedthatdisparitiesindicated
possibleunderdiagnosis,
undertreatment,orboth;nodisparitiesin
beingdiagnosedwithaneyeorvision
conditionotherthanconjunctivitis
95
QualityLoweradjustedscoresfortimelinessofcare
Analysisofparentalsurveydataonchildren
AI/AN:n
�330;AA:n
�1344;
Adjustedfor4covariates
101
Loweradjustedscoresforprovider
communication
0–17yofagefromtheCAHPSBenchmarking
Database1.0administeredbyMedicaid
API:n
�291;Latino:n
�842;white:n
�6328
Loweradjustedscoresforhealthinsurance
planservice
sponsorscomprising33healthmaintenance
organizationsfromArkansas,Kansas,
Loweradjustedratingsofchild’spersonal
doctor
Minnesota,Oklahoma,Vermont,andWashington
Loweradjustedratingsofhealthplan
Useofhealthservices
Greateradjustedoddsof
�1ysincelast
physicianvisit
Analysisof3yofNHISdataonchildren0–17yof
age
AI/AN:n
�1067;API:n
�2516;AA:n
�17324;
Adjustedfor4covariates
112
Morethandoubletheadjustedoddsof
suboptimalhealthstatusandhighest
prevalenceofanyracial/ethnicgroup
Latino:n
�12765;white:
n�62572
MEPSindicatesMedicalExpenditurePanelSurvey;AddHealth,NationalLongitudinalStudyofAdolescentHealth;NHIS,NationalHealthInterviewSurvey;CAHPS,ConsumerAssessmentofHealthPlans.
aSamplesizeswerenotdisaggregatedinarticleaccordingtorace/ethnicity.
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male adolescents is 2 to 3 times higherthan that of white adolescents.
Health Status
AI/AN children have higher adjustedodds than do white children of beingin poor or fair health and the highestprevalence of these suboptimalhealth ratings of any racial/ethnicgroup (Table 4).
Mental Health Care
Within 6 months of a new episode ofdepression, AI/AN children have loweradjusted odds than white children ofany mental health visit or antidepres-sant prescription being filled. AI/ANyouth in treatment for substanceabuse also have a lower adjusted like-lihood of mental health services use.
Quality
Compared with the parents of whitechildren, the parents of AI/AN childrengave lower adjusted scores for their
child’s health care timeliness, healthcare provider communication, andhealth insurance plan service, andlower adjusted ratings for their child’spersonal doctor and health plan (Table4). National data also reveal lower ad-justed odds of being diagnosed withany eye or vision condition.
Multiracial Children
The search terms did not yield any ar-ticles on disparities amongmultiracialchildren.
DISPARITIES AMONGRACIAL/ETHNIC SUBGROUPS
Fifteen studies (14%) included analy-ses of disparities in 1 or more racial/ethnic subgroup (in comparison withwhite children). Five studies of APIs(21% of all studies of APIs) and 10 stud-ies of Latinos (15% of all studies of Lati-nos) examined racial/ethnic subgroupdisparities; none of the analyses for AA
or AI/AN children included subgroupanalyses.
STUDIES EVALUATINGINTERVENTIONS TO REDUCEDISPARITIES
The search terms yielded only 2 stud-ies that evaluated interventions to re-duce racial/ethnic disparities (Table5). A quasi-experimental evaluation ofa school-based Internet and video in-tervention that focused on healthsnacks and gym labs resulted in signif-icant reductions in dietary fat intakeamong all 3 minority groups as well asamong those in the white group, andsignificant increases in physical activ-ity among low-income children in all 3minority groups and white children. Itwas unclear, however, what the con-trol group received, there was nooverall difference between interven-tion and control children in fat-intake reduction, and participants in
TABLE 5 Results of Studies Evaluating Interventions to Reduce Disparities in the Health and Health Care of Minority Children
Disparity Targeted Findings Study Design Sample Size(s) Notes Ref No.
Nutrition and exercise inmiddle-school children
Dietary fat intake significantlyreduced in intervention-group girls for AA, Latino,AI/AN, and white children;significantly increasedphysical activity amongthose with lowest incomeamong AA, Latino, Asian,and white children
Quasi-experimental evaluationof a 4-session Internet andvideo intervention withhealthy snack and gymlabs; intervention occurredin 2 urban, low- to middle-income middle schools(gym lab in 1) in theMidwest
AA: n� 58; white: n�47; Asian: n� 9;Latino: n� 4; AI/AN:n� 4
Small sample sizes from only2 schools; unclear whatcontrol group received (ifanything); unclear whenpostinterventionevaluation occurred; nooverall difference betweenintervention and controlchildren in fat intakereduction; both groupsactually decreased theiramount of physical activity
135
Immunization rates among0- to 2-y-olds
No statistically significantdifferences (vs whitechildren) inpostinterventionpopulation immunizationrates for 24-mo-oldsamong AA and Latinochildren; no statisticallysignificant difference (vswhite children) inpostinterventionpopulation immunizationrate for Latino (but not AA)12-mo-olds
Prepopulation/postpopulationstudy in Monroe County,New York, of impact ofcommunity-wide reminder,recall, and outreachsystem for childhoodimmunizationsadministered by layoutreach workers in 8practices (expanded to 10after 4 y). Outcomes weremonitored in a 10%random sample selectedfrom suburban practicesand a 25% random samplefrom urban practices.
Total sample: N�20 132a
9%–74% of cohort(depending on studyregion) did not receiveintervention; immunizationrates unadjusted (notadjusted for any potentialconfounders)
136
a Sample sizes were not disaggregated in article according to race/ethnicity.
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both the intervention and controlgroups decreased their amount ofphysical activity.
A preintervention and postinterventionstudy in an upstate New York county ofthe effects of a community-wide re-minder, recall, and outreach systemfor childhood immunizations resultedin no statistically significant differ-ences from 24-month-old white chil-dren in postintervention immunizationrates for 24-month-old AA and Latinochildren, and no statistically signifi-cant difference between only Latinoand white 12-month-old children inpostintervention immunization rates.Up to 74% of the cohort, however, didnot receive the intervention in somecounty regions, and the immunizationrates were not adjusted for confound-ers.
METHODOLOGIC ISSUES
Failure to evaluate children separatelyfrom adults was the most commonreason for exclusion of studies fromthe final database, accounting for 27(22%) of the excluded studies. Anothercommonly encountered methodologicissue was the combination of all non-white children into 1 group, which oc-curred in 11 (9%) of the excluded stud-ies. An additional 10 studies (8%) failedto provide a white comparison group.Among the 109 studies in the final da-tabase, 27 (22%) did not perform mul-tivariable or stratified analyses to en-sure that racial/ethnic disparitiespersisted after adjustment for socio-economic status (SES) and other po-tential confounders.
IMPLICATIONS
Extensiveness and Pervasivenessof Disparities
A comprehensive review of the litera-ture revealed that racial/ethnic dis-parities in children’s health and healthcare are quite extensive, pervasive,and persistent. Disparities were noted
across the spectrum of health andhealth care, including in mortality rates,access to care and use of services, pre-vention and population health, healthstatus, adolescent health, chronic dis-eases, special health care needs, qual-ity of care, and organ transplantation.In addition, the data indicate that ra-cial/ethnic disparities are persistingor worsening over time, at least in thefew areas for which data from secular-trend studies are available, such asoverall mortality rates, elevated bloodlead concentrations, and asthma prev-alence, mortality, and hospitalizations.
Mortality and Chronic Disease
Although racial/ethnic disparities inadult mortality21 and chronic disease22
rates have receivedmuch attention, lit-tle attention has been paid to these is-sues in children (other than for infantmortality). Nevertheless, review of theliterature identified disparities in mor-tality rates for all 4 major racial/ethnicgroups of US children. The extent anddiversity of these mortality-rate dis-parities are concerning: these dispar-ities include substantially greaterrisks than for white children of all-cause mortality; death from drowning,from ALL, from congenital heart de-fects, and after congenital heart defectsurgery; and an earlier median age atdeath for those with Down syndromeand congenital heart defects. Addi-tional research is needed to determinewhether other racial/ethnic dispari-ties exist in childhood mortality rates,the causes of these disparities, andinterventions that are effective in re-ducing or eliminating mortality-ratedisparities.
Extensive childhood disparities werefound for chronic diseases, includingasthma, cancer, eye disorders, HIV/AIDS, kidney disease, mental health,special health care needs, and stroke.In particular, multiple studies havebeen conducted on disparities in
asthma, mental health, and specialhealth care needs. Nevertheless, manygaps exist in the literature, and fur-ther study is needed to determinethe etiology of and effective interven-tions for disparities in childhoodchronic diseases.
Disparities as a Quality Issue
It has been suggested that a useful ap-proach to addressing racial/ethnicdisparities in children’s health care isto frame disparities as a quality-of-care issue.23 This review of the litera-ture identified multiple racial/ethnicdisparities in the quality of children’shealth care, including inequalities inthe quality of primary care, asthmacare, cardiovascular surgery, mentalhealth care, pneumonia hospitaliza-tions, ophthalmologic care, orthopedicconditions, and care of children withend-stage renal disease. Additionalstudy is warranted, not only of the eti-ology and pervasiveness of disparitiesin the quality of pediatric care, but alsoof interventions that would be effectivein achieving quality improvementamong racial/ethnicminority children.
Research Implications
In the course of reviewing the dispari-ties literature, certain key method-ologic and research issues were iden-tified. Attention to these issues has thepotential to advance the field and en-hance the rigor of studies. A total of 48studies were excluded from the data-base because they combined all minor-ity children into a nebulous “nonwhite”category, failed to include a compari-son group consisting of white children,or did not perform separate analyseswith children disaggregated fromadults.
Occasionally, theremay be statisticallylegitimate reasons to not comparestudy findings for specific minority ra-cial/ethnic groups with those of whitechildren (such as when there truly are
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small sample sizes for specific minor-ity groups in the study population). Therecurrent findings in the literature,however, of combining minority chil-dren into a “nonwhite group” and fail-ure to collect data for specific, popu-lous minority groups of children raiseseveral key issues. It is critical thatcurrent and future pediatric researchbe relevant, meaningful, and generaliz-able for all children. The explosivegrowth in racial/ethnic diversity of USchildrenmakes it imperative that pedi-atric research funding not ignore spe-cific questions or populations. In addi-tion, as new interventions, practices,and technologies are evaluated, it isimportant to consider translational re-search on the application of these in-novations to diverse populations andsettings.
Almost one-quarter of the excludedstudies did not use multivariable orstratified analyses to adjust for covari-ates that might confound disparitiesfindings. For several domains, such asmental health, asthma, and vision dis-orders, there is an unresolved issuethat warrants further investigation; itis unclear whether (1) a general qual-ity issue exists for minority children ofunderdiagnosis and undertreatmentof certain conditions, (2) there is alower prevalence of these conditionsin certain groups, (3) racial/ethnic dif-ferences occur in access or treatmentpreferences, or (4) some combinationof these phenomena apply.
More disparities research is neededon API and AI/AN children, because apaucity of studies on these groups wasidentified. The few studies that exam-ined relevant subgroups of racial/eth-nic minority children identified note-worthy racial/ethnic disparities. Moreresearch is needed on childhood dis-parities among black subgroups (suchas AAs versus Caribbean blacks versusrecent African immigrants), Latinos
(such as Mexican Americans, PuertoRicans, and Cuban Americans), AIs/ANs (such as major tribal groups), andAPIs (such as Chinese Americans ver-sus Vietnamese versus Hmong). Ourcall for more studies on racial/ethnicsubgroup disparities echoes a recom-mendation published 15 years ago bythe AAP Task Force on Minority Chil-dren’s Access to Pediatric Care thatmore attention be paid to the hetero-geneity of API populations.24
Limitations
Certain limitations of this literature re-view should be noted. The literaturesearch consisted of studies from 1950through March 2007, so studies afterMarch could not be included. Becausethe search strategies only identifiedpublished citations with “disparities”as a key word, studies that reporteddisparities or disparities interventionsbut did not use this key word wouldhave been missed; in particular, re-search from earlier years before the“disparities” term enjoyed wider us-age would have been overlooked. Thefocus was on racial/ethnic disparities,so studies that documented a lack ofdisparities were not reviewed. Only21 studies, however, were excludedthat found no significant differencesaccording to race/ethnicity, equiva-lent to 9% of the database of full-print studies examined, and 17% ofall exclusions.
Interventions to ReduceDisparities
This literature review identified only 2studies that evaluated interventions toreduce racial/ethnic disparities inchildren’s health and health care andthat also compared theminority groupto a white group, and none was a ran-domized, controlled trial. These find-ings suggest that there is a need forrigorous evaluations of interventionsaimed at reducing childhood dispari-ties, especially in light of the substan-
tial number of studies identified thatdocumented a wide variety of racial/ethnic disparities in children’s healthand health care.
Only articles that examined racial/ethnic disparities in the context ofcomparisons to white children wereincluded in the literature review. Forcertain health outcomes for whichracial/ethnic disparities are welldocumented, published studies mayonly have focused on disparities in-terventions limited to a single minor-ity group. Because the literature-search inclusion criteria requiredcomparison between a minoritygroup and a white group, successfuldisparities-intervention studies lim-ited to a single minority group wereexcluded, by necessity, from thistechnical report, such as recent ran-domized trials of interventions to in-sure uninsured Latino children andprevent HIV in AA girls.25,26
CONCLUSIONS
This technical report documents thatracial/ethnic disparities in chil-dren’s health and health care are ex-tensive, pervasive, and persistent.Disparities were noted across thespectrum of health and health care,including in mortality rates, accessto care and use of services, preven-tion and population health, healthstatus, adolescent health, chronicdiseases, special health care needs,quality of care, and organ transplan-tation. Methodologic flaws wereidentified in how such disparities aredocumented and analyzed. Withoutrecognition of child health dispari-ties as pervasive problems, soundmethodologies to assess the magni-tude of disparities, and rigorousevaluation of disparities interven-tions, the pediatric community willnot be able to realize the vision of theAAP to attain optimal physical, men-
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tal, and social health and well-beingof all infants, children, adolescents,and young adults.
COMMITTEE ON PEDIATRIC RESEARCH,2008–2009Scott C. Denne, MD, ChairpersonAndrew J. Bauer, MD*Michael D. Cabana, MD, MPHTina L. Cheng, MD†Glenn Flores, MDDaniel A. Notterman, MD
LIAISONSDuane F. Alexander, MD – Eunice KennedyShriver National Institute of Child Healthand Human DevelopmentClifford W. Bogue, MD – Society for PediatricResearchLaurence A. Boxer, MD – American PediatricSocietyChristopher A. DeGraw, MD, MPH – Maternaland Child Health BureauDenise Dougherty, PhD – Agency forHealthcare Research and QualityBenard P. Dreyer, MD – Academic PediatricAssociation
Elizabeth Goodman, MD – Society forAdolescent MedicineA. Craig Hillemeier, MD – Association ofMedical School Pediatric Department ChairsLewis H. Margolis, MD, MPH – American PublicHealth AssociationJessica Shand, MD – AAP Section on ResidentsPaul P. Wang, MD – Society for Developmentaland Behavioral Pediatrics
STAFFWilliam L. Cull, PhD
*Contributing author†Lead author
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DOI: 10.1542/peds.2010-0188 originally published online March 29, 2010; 2010;125;e979Pediatrics
Glenn Flores and THE COMMITTEE ON PEDIATRIC RESEARCHRacial and Ethnic Disparities in the Health and Health Care of Children
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