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V. NATIONAL HIS DATA QUALITY: Return to Menu Go to Results AbbreviationHealth Status Indicators
Highly adequate Adequate Present butadequat3 2 1
MortalityA. Under-5mortality (allcauses)
V.A.1Data-collectionmethod
Data-collection method used for estimatepublished most recently or to be published
Vital registration of atleast 90% of under-5
deaths
Birth history fromhousehold survey orSample Registration
System
Other methodas indirect mebased on houssurveys or cen
V.A.2Timeliness
For the most recently published estimate,number of years since the data werecollected
0-2 years 3-5 years 6-9 years
V.A.3Periodicity
Number of times measured in past 10years
3 or more 2 1
V.A.4Consistency
Datasets from major data sourcesconsistent during past 10 years
No majordiscrepancies
A few discrepancies Multiple discrepa
V.A.5Representativeness
Coverage of data upon which the mostrecently reported estimate is based
All deaths (>90%) Sample of deaths Local studies
V.A.6Disaggregation
Most recent estimate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, majorgeographical or administrative region)
All 3 2 1
V.A.7Adjustment methods
In-country adjustments use transparent,well-established methods
Yes
B. Maternalmortality
V.B.1Data-collectionmethod
Data-collection method used for estimatethat were published most recently or will bepublished
Vital registration of atleast 90% of deaths
and with good medicalcertification of cause
of death
Sample VitalRegistration withVerbal Autopsy
Direct methodhousehold surcensuses (su
sibling historydeaths with
autopsy
Quality assessmentcriteria
Indicators Item
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V.B.2Timeliness
For the most recently published estimate,number of years since the data werecollected
0-2 years 3-5 years 6-9 ye
V.B.3Periodicity
Number of times measured in past 10years
3 or more 2
V.B.4Consistency
Data consistent over past 10 years No majordiscrepancies
A few discrepancies Multiple dis
V.B.5Representativeness
Coverage of data upon which the mostrecent estimate is based
All deaths Sample of deaths Local stu
V.B.6Disaggregation
Estimate that was published most recentlyor will be published is disaggregated bydemographic characteristics (e.g. age),socioeconomic status (e.g. income,occupation, education) and locality (e.g.urban/rural, major geographical oradministrative region)
Disaggregationavailable for all 3
elements
Disaggregationavailable for 2
elements
Disagavaila
el
V.B.7Adjustment methods
In-country adjustments use transparent,well-established methods
Yes
MorbidityC. HIVprevalence
V.C.1Data-collectionmethod
Data-collection method used for estimatepublished most recently or to be published
1. If generalized epidemic
2. If concentrated or low-level epidemic
1. General populationsurvey + ANCsurveillance
2. Surveillance amongpopulation at high riskwith random sampling
1. ANC surveillance
2. Surveillance amongpopulation at high riskwith purposivesampling
1. HIV ca
2. HIV ca
V.C.2Timeliness
For the most recently published estimate,number of years since the data werecollected
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V.C.5Representativeness
Coverage of data upon which the mostrecent estimate is based
1. If generalized epidemic
2. If concentrated or low-level epidemic
1. Nationally
representative survey+ both urban and ruralANC clinics2. All majorpopulations at highrisk with randomsampling
1. Both urban and
rural ANC clinics
2. At least one majorhigh-risk population inmultiple locations
1. Inadequ
of clinics
2. One highpopulationlocation
V.C.6Disaggregation
Estimate that was published most recently(or will be published) is disaggregated by:(1) demographic characteristics (e.g., sex,age); (2) socioeconomic status (e.g.,income, occupation, education); and (3)locality (e.g., urban/rural, major
geographical or administrative region)
Disaggregationavailable for 3
elements specifically,
prevalence among1524 year olds is
estimated with anadequate sample size
Disaggregationavailable for 2
elements
Disaggavaila
ele
Health System indicatorsD. Measlesvaccinationcoverage by 12months of age
V.D.1Data-collectionmethod administrativestatistics
Coverage can be estimated from routineadministrative statistics submitted by atleast 90% of immunizing health facilities.These statistics are systematicallyreviewed at each level for completenessand consistency, and inconsistenciesinvestigated and corrected. To calculatecoverage, reliable estimates of populationare available
Yes. Administrativestatistics are complete
(>90%) and qualitycontrol is good;
populationdenominators are
based upon full(>90%) birthregistration
Administrativestatistics areevaluated for
completeness andconsistency;population
denominators arebased upon
population projections
Thereevaluatcomple
consisadmin
statistics submitted b
90% offaciliti
populationare av
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V.D.2Data-collectionmethod- household surveystatistics
Coverage has been measured by at least 2nationally representative householdsurveys in the past 5 years andimmunization cards were shown duringeach survey for at least two thirds ofchildren
Yes, in the past 5years there have been
at least 2 nationallyrepresentative
household surveysmeasuring measles
vaccination coverage,during which cardswere shown for atleast two thirds of
children
In the past 5 yearsthere has been 1
nationallyrepresentative
household surveymeasuring measles
vaccination coverage,during which cardswere shown for atleast two thirds of
children
During tsurvey, icards weless than
c
V.D.3Timeliness
For the most recently published estimate,number of months since the data werecollected
0-11 months 12-17 months 18-29 m
V.D.4Periodicity
Number of times in the past 5 years that anannual estimate was published based onadministrative statistics
5 times 34 times Onc
V.D.5Consistency
Data consistent between recent surveysand reports
No majordiscrepancies
Several discrepancies Multiple dis
V.D.6Representativeness
Coverage of data upon which the mostrecent estimate is based
(1) Data from at least90% of health facilities
and outreach sitesthat immunize
children including allmajor hospitals and
both public andprivate sector; or (2)
nationallyrepresentative
household sample
Data from at least80% of health facilities
and outreach sitesthat immunize
children
Data fro80% of h
and outhat
c
V.D.7Disaggregation
Estimate that was published most recently(or will be published) is disaggregated by:(1) demographic characteristics (e.g., sex,age); (2) socioeconomic status (e.g.,income, occupation, education of parents);and (3) locality (e.g., urban/rural, majorgeographical or administrative region)
Disaggregationavailable for all 3
elements
Disaggregationavailable for 2
elements
Disaavai
e
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E. Deliveriesattended byskilled healthprofessionals
V.E.1Data-collectionmethod- administrativestatistics
The percentage of deliveries attended by askilled health professional can beestimated from routine administrativestatistics submitted by at least 90% ofrelevant health facilities. These statisticsare systematically reviewed at each levelfor completeness and consistency, andinconsistencies are investigated andcorrected. To calculate coverage, reliableestimates of population are available
Yes. Administrativestatistics are complete
(>90%) and qualitycontrol is good;
populationdenominators are
based upon full(>90%) birthregistration
Administrativestatistics areevaluated for
completeness andconsistency;population
denominators arebased upon
population projections
Theevalucomp
consadm
statisticsubmitte
90%facil
populatiare
V.E.2Data collectionmethod- household surveystatistics
The percentage of deliveries attended by askilled health professional has beenmeasured by at least 2 nationallyrepresentative household surveys in thepast 5 years
Yes. In the past 5years at least 2
nationallyrepresentative
household surveyshave measured
coverage
n the past 5 yearsthere has been 1
nationallyrepresentative
household surveymeasuring coverage
V.E.3Timeliness
For the most recently published estimate,number of months since the data werecollected
0-11 months 12-17 months 18-59 m
V.E.4Periodicity
Number of times measured in past 10years
3 or more 2
V.E.5Consistency
Datasets consistent between recentsurveys and reports
No majordiscrepancies
Several discrepancies Multiple dis
V.E.6Representativeness
Coverage of data upon which the mostrecent estimate is based
Data from at least90% of professionallysupervised deliveries
and from complete
(>90%) registration ofbirths
Nationallyrepresentative
household sample
Locincomp
on prsupervis
with levacom
V.E.7Disaggregation
Most recent estimate disaggregated by: (1)demographic characteristics (e.g., age); (2)socioeconomic status (e.g., income,occupation, education); and (3) locality(e.g., urban/rural, major geographical oradministrative region)
Disaggregationavailable for all 3
elements
Disaggregationavailable for 2
elements
Disaavai
e
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F. Tuberculosis(TB) treatmentsuccess rateunder DOTS
V.6.1Data-collectionmethod
Source of data and method used for mostrecent data
Clinic reports withevaluation of reporting
rate
District reports withevaluation of reporting
rate
Nationallimited e
repor
V.6.2Timeliness
For the most recently published estimate,number of years since the data werecollected
1 year 2 years 3-4 y
V.6.3Periodicity
Number of times measured in the past year(should be quarterly)
4
V.6.4Consistency
Consistency of treatment success ratesduring past 10 years (fluctuation due to non-standardized data collection procedure,definitions, etc.)
No majordiscrepancies
Several discrepancies Multiple discr
V.6.5Representativeness
Coverage of data upon which the mostrecent estimate is based -- % ofsubnational DOTS quarterly reportsreceived by national TB programme in mostrecent year
Over 90% 75% - 89% 50% -
V.6.6Disaggregation - 1
Estimate that was published most recentlyor will be published is disaggregated bydemographic characteristics (e.g. age),socioeconomic status (e.g. income,occupation, education) and locality (e.g.urban/rural, major geographical oradministrative region)
Disaggregationavailable for 3
elements
Disaggregationavailable for 2
elements
Disagavail
el
V.6.7Disaggregation - 2
Most recent estimate disaggregated by HIVstatus and by drug resistance
Disaggregated byboth
Disaggregated by 1 ofthese
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G. Generalgovernmenthealthexpenditure(GGHE) percapita (ministry ofhealth, otherministries andsocial security,regional and localgovernments,extra budgetaryentities)
V.G.1Data-collectionmethod
Data-collection method used for mostrecent data
Data compiled usingNational HealthAccounts (NHA)
methodology
Data compiled fromadministrative sources(i.e. primary sourcesof each component)
Data imseconda
(e.g. repo
V.G.2Timeliness
For the most recently published estimate,number of years since the data werecollected
0-1 years 2 years 3 or mor
V.G.3Periodicity
Periodicity Yearly Every 1-2 years More than
V.G.4Consistency
Consistency of definitions of expenditure onhealth across components (ministry ofhealth, other ministries and social security,regional and local governments, extrabudgetary entities) and over time
Single source with nobreak in series
Various sources thatare harmonized
Various are not
V.G.5Representativeness
Components represented All components:ministry of health,
other ministries andsocial security,
regional and localgovernments, extrabudgetary entities
Ministry of health,regional and localgovernments and
social security
Ministrywell as so
V.G.6Disaggregation - 1
Availability of disaggregated estimates ofgeneral government expenditure (allcomponents: ministry of health, otherministries and social security, regional andlocal governments, extra budgetaryentities) by subnational or district level
All components:ministry of health,
other ministries andsocial security,
regional and localgovernments, extrabudgetary entities
Ministry of health,regional and localgovernments and
social security
Ministrywell as so
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V.G.7Disaggregation - 2
Availability of disaggregated estimates ofexternally funded government expenditureby source of funding (i.e. multilateral,bilateral, private foundations, NGOs,
others)
Disbursed externalresources from
multilateral, bilateral,private foundations,
NGOs, others
Disbursed externalresources frommultilateral and
bilateral
Commiresoumulti
b
V.G.8Adjustment methods
Availability of detailed information onsources and statistical methodologies, andrecording of any departures frominternational guidelines, for all adjustmentscarried out and their resulting estimates
Resulting estimatesare completely
replicable throughdata audit trail
Based on theavailable information,
resulting estimatesare replicable at 75%
Basavailable
resultinare repli
H. Privateexpenditure onhealth per capita(households' out-of-pocket, privatehealth insurance,NGOs, firms andcorporations)
V.H.1Data-collectionmethod
Data-collection method used for mostrecent data
Data compiled usingNational HealthAccounts (NHA)
methodology
Data compiled using 1household survey for
out-of-pocket, asurvey for at least 1
other component, andimputations for
remainingcomponents
Data comhouseho
out-ofimputaother c
V.H.2Timeliness
For the most recently published estimate,number of years since the data werecollected
0-1 years 2 years 3-4 y
V.H.3Periodicity
Periodicity Data for allcomponents available
yearly
All componentssurveyed at least
once in past 5 years
Hoexpenditat least o
V.H.4Consistency Consistency of definitions of expenditure onhealth across components (households' out-of-pocket, private health insurance, NGOs,firms and corporations) and over time
Single source with nobreak in series Various sources thatare harmonized Various are not
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V.H.5Representativeness
Coverage of population Nationally-representative
including allcomponents:
households' out-of-pocket, private
insurance, NGOs,firms and corporations
Nationally-representative only for
households' out-of-pocket plus 1 other
component
Narepresentthe hous
V.H.6Disaggregation - 1
Availability of disaggregated estimates ofprivate expenditure (all components:households' out-of-pocket, private healthinsurance, NGOs, firms and corporations)by subnational or district level
All components:households' out-of-
pocket, privateinsurance, NGOs,
firms and corporations
Households' out-of-pocket and 1 other
component
Househpo
V.H.7Disaggregation - 2
Availability of disaggregated estimates ofprivate expenditure by source of funding(i.e. multilateral, bilateral, privatefoundations, NGOs, others)
Disbursed externalresources from
multilateral, bilateral,private foundations,
NGOs, others
Disbursed externalresources frommultilateral and
bilateral
Commiresoumulti
b
V.H.8Adjustment methods
Availability of detailed information onsources and statistical methodologies, andrecording of any departures frominternational guidelines, for all adjustmentscarried out and their resulting estimates
Resulting estimatesare completely
replicable throughdata audit trail
Based on theavailable information,
resulting estimatesare replicable at 75%
Basavailable
resultinare repli
I. Density ofhealth workforce(total and byprofessionalcategory) by1,000 population
V.I.1Data-collectionmethod
Routine administrative records arevalidated with findings from a regularlyconducted health facility survey/census,labour-force survey and the populationcensus
Routine administrativerecords validated with
population census,labour-force surveys,
health facilitycensus/surveys and
administrative records
Administrative recordsvalidated with either
health facilitycensus/surveys or
labour-force surveys
Only adrecor
validacensu
V.I.2Timeliness
For the most recently published estimate,number of months since the data werecollected
0-5 months 6-11 months 12 or more
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V.I.3Periodicity
Number of times measured in past 5 years 5 or more 3-4 1-2
V.I.4Consistency
Variables and data definitions andclassifications consistent over time andacross different sources
All sources areconsistent. The
variables have thesame definitions/
classification in allsources
Most of the sourcesare consistent. Thevariables have thesame definitions/
classification in mostof the sources
Only somesourcon
V.I.5Disaggregation- 1
Categories of health workers
ISCO: International Standard Classificationof Occupations
15 or moreoccupations or ISCO
4 digits or nationalequivalent
4-14 occupations orISCO 3 digits or
national equivalent
Less than digits o
equ
V.I.6Disaggregation - 2
Estimate that was published most recentlyor will be published is disaggregated by (1)gender, (2) urban/rural, (3) majorgeographical or administrative region and(4) public/private sector
The data allowdisaggregation by all
4 variables
The data allowdisaggregation by 3variables (excludingpublic/private sector)
The ddisaggrevariables
public/purba
Risk Factor IndicatorsHighly adequate Adequate
Presentade
3 2J. Smokingprevalence (15years and older)
V.J.1Data-collectionmethod
Data-collection method used for mostrecent data
Population-basedsurvey with self-
report, daily smokersover previous month
V.J.2Timeliness
For the most recently published estimate,number of years since the data werecollected
0-2 years 3-5 years 6 or more
V.J.3Periodicity
Number of times measured in past 10years
3 or more 2
V.J.4Consistency
Data consistent over time No majordiscrepancies
A few discrepancies Multiple disc
V.J.5Representativeness
Type of sample upon which most recentestimate is based
Nationally-representative sample
Purposive or othernon-random national
sampling
Loca
Quality assessmentcriteria
ResultsIndicators
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V.J.6Disaggregation
Estimate that was published most recently(or will be published) is disaggregated by:(1) demographic characteristics (e.g., sex,age); (2) socioeconomic status (e.g.,
income, occupation, education of parents);and (3) locality (e.g., urban/rural, majorgeographical or administrative region)
Disaggregationavailable for all 3
elements
Disaggregationavailable for 2
elements
Disaggreavailabl
elem
Additional selected indicatorsAdditionalIndicator number1
Data-collectionmethod
Data-collection method used for mostrecent data
Timeliness For the most recently published estimate,number of years since the data werecollected
Periodicity Number of times measured in past 10years
Consistency Revisions consistent over time, anddatasets between major sources duringpast 10 years
Representativeness Coverage of data upon which the mostrecently reported estimate is based
Disaggregat ion Most recent est imate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, majorgeographical or administrative region)
All 3 2 1
Estimation methods Estimates use transparent, well-establishedmethods
AdditionalIndicator number2
Data-collectionmethod
Data-collection method used for mostrecent data
Timeliness For the most recently published estimate,number of years since the data werecollected
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Periodicity Number of times measured in past 10years
Consistency Revisions consistent over time, anddatasets between major sources duringpast 10 years
Representativeness Coverage of data upon which the mostrecently reported estimate is based
Disaggregation Most recent estimate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, majorgeographical or administrative region)
All 3 2
Estimation methods Estimates use transparent, well-establishedmethods
AdditionalIndicator number3
Data-collectionmethod
Data-collection method used for mostrecent data
Timeliness For the most recently published estimate,number of years since the data werecollected
Periodicity Number of times measured in past 10years
Consistency Revisions consistent over time, anddatasets between major sources duringpast 10 years
Representativeness Coverage of data upon which the mostrecently reported estimate is based
Disaggregation Most recent estimate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, majorgeographical or administrative region)
All 3 2
Estimation methods Estimates use transparent, well-establishedmethods
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AdditionalIndicator number4
Data-collectionmethod
Data-collection method used for mostrecent data
Timeliness For the most recently published estimate,number of years since the data werecollected
Periodicity Number of times measured in past 10years
Consistency Revisions consistent over time, anddatasets between major sources duringpast 10 years
Representativeness Coverage of data upon which the mostrecently reported estimate is based
Disaggregation Most recent estimate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, major
geographical or administrative region)
All 3 2
Estimation methods Estimates use transparent, well-establishedmethods
AdditionalIndicator number5
Data-collectionmethod
Data-collection method used for mostrecent data
Timeliness For the most recently published estimate,number of years since the data werecollected
Periodicity Number of times measured in past 10years
Consistency Revisions consistent over time, anddatasets between major sources duringpast 10 years
Representativeness Coverage of data upon which the mostrecently reported estimate is based
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Disaggregation Most recent estimate disaggregated bydemographic characteristics (e.g. sex, age)socioeconomic status (e.g. income,occupation, education of their parent) andlocality (e.g. urban/rural, majorgeographical or administrative region)
All 3 2 1
Estimation methods Estimates use transparent, well-establishedmethods
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Name 1 Name2 Name3 Name4 Name5 Name6 Name7 Name8 Name9 Name10 Name11 Name12 Name13
Response from interviewees
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Name1 Name2 Name3 Name4 Name5 Name6 Name7 Name8 Name9 Name10 Name11 Name12 Name13
Response from interviewees
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VI. Dissemination and use Return to Menu Go to Results AbbreviationsA. Analysis and use of information
Highly adequate Adequate Present but notadequate3 2 1
VI.A.1 Senior managers and policy-makers demand complete, timely, accurate,relevant and validated HIS information
Yes Yes, but they do nothave the skills to
judge
Demand frommanagers is ad-hocusually as a result
external pressure(e.g., questions fro
politicians or themedia)
VI.A.2 Graphs are widely used to display information at subnational healthadministrative offices (e.g., regional/provincial, district) and health facilities.They are up to date and clearly understood
True at all levels(regional/provincial,
district health offices,health facilities)
True at health offices(regional/provincial,district), but not at
health facilities
True atregional/provincihealth offices onl
VI.A.3 Maps are widely used to display information at subnational healthadministrative offices (e.g., regional/provincial, district) and health facilities.They are up to date and clearly understood
True at all levels(regional/provincial,
district health offices,health facilities)
True at health offices(regional/provincial,district), but not at
health facilities
True atregional/provincihealth offices onl
B. Information use for policy and advocacyHighly adequate Adequate Present but notadequate
3 2 1VI.B.1 Integrated HIS summary reports including information on a minimum set of
core indicators (including those used to measure progress towardsachieving the MDGs and those used by Global Health Partnerships, ifapplicable) are distributed regularly to all relevant parties
Regular integratedreports at least
annually to nationaland local relevant
partners
Regular integratedreports at least
annually, butdistributed only to the
ministry of health
Occasional reportsbut not annually
Items
Items
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C. Information use for planning and priority settingHighly adequate Adequate
Present but notadequate
3 2 1VI.C.1 Health information (population health status, health system, risk factors) is
demonstrably used in the planning and in the resource allocationprocesses (e.g. for annual integrated development plans, medium-termexpenditure frameworks, long-term strategic plans, and annual healthsector reviews)
Yes, systematicallyused with methodsand targets alignedbetween different
planning frameworks
Commonly used fordiagnostic purposes
to describe healthproblems/ challenges,but no synchronised
use of healthinformation between
different planning
frameworks
Health information isoccasionally used
D. Information use for resource allocationHighly adequate Adequate
Present but not
adequate3 2 1
VI.D.1 HIS information is widely used by district and subnational managementteams to set resource allocations in the annual budget processes
The majority oftargets/budget
proposals are backedup by HIS information
Some targets/budgetproposals are backedup by HIS information
Few targets/budgetproposals are backedup by HIS informatio
Items
Items
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Categories Maximum Score %
A Analysis and use of information 0 0.0 Not assessed
B Information use for policy and advocacy 0 0.0 Not assessed
C Information use for planning and prioritysetting
0 0.0 Not assessed
D Information use for resource allocation 0 0.0 Not assessed
EInformation use for implementation andaction
0 0.0 Not assessed
TOTAL 0 0.0 Not assessed
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Name1 Name2 Name3 Name4 Name5 Name6 Name7 Name8 Name9 Name10 Name11 Name1
Name1 Name2 Name3 Name4 Name5 Name6 Name7 Name8 Name9 Name10 Name11 Name1
Response from interviewees
Response from interviewees
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Name1 Name2 Name3 Name4 Name5 Name6 Name7 Name8 Name9 Name10 Name11 Name1
Response from interviewees
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I. Resources
Categories Result
Policy and PlanningNot assessed
---HIS institutions, humanresources and financing
Not assessed---
HIS Infrastructure Not assessed---
OverallNot assessed
---
II. Indicators
Categories Result
IndicatorsNot assessed
---
III. Data Sources
Data Source Contents Capacity & Practices Dissemination Integration and use Total
CensusNot assessed
---Not assessed
---Not assessed
---Not assessed
---Not assessed
---
Vital statisticsNot assessed
---Not assessed
---Not assessed
---Not assessed
---Not assessed
---
Population-based surveysNot assessed
---Not assessed
---Not assessed
---Not assessed
---Not assessed
---Health and disease records(incl. surveillance)
Not assessed---
Not assessed---
Not assessed---
Not assessed---
Not assessed---
Health service recordsNot assessed
---Not assessed
---Not assessed
---Not assessed
---Not assessed
---
Resource recordsNot assessed
---Not assessed
---Not assessed
---Not assessed
---Not assessed
---
TotalNot assessed
---
IV. Data Management
Categories Result
Data managementNot assessed
---
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V. Information Products
Categories Overall
Information ProductsNot assessed
---
VI. Dissemination and UseCategories Result
Analysis and use of information
Not assessed---
Information use for policy andadvocacy
Not assessed---
Information use for planningand priority setting
Not assessed---
Information use for resourceallocation
Not assessed---
Information use for implementation and action
Not assessed---
OverallNot assessed
---
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Component Summary of comments1. HIS ResourcesA. Policy and Planning A1:
A2:A3:A4:A5:A6:A7:
B. HIS institutions, B1:human resources and B2:financing B3:
B4:B5:B6:B7:B8:B9:B10:B11:B12:B13:
C. HIS infrastructure C1:C2:C3:C4:C5:
2. IndicatorsA1:A2:A3:A4:A5:
3. Data sourcesA. Census A1.1:
A2.1:A2.2:A2.3:A3.1:A3.2:A3.3:A3.4:A4.1:
B. Vital registration B1.1:B1.2:B1.3:B2.1:
B2.2:B2.3:B2.4:B2.5:B2.6:B2.7:B2.8:B3.1:B4.1:
C. Population-based C1.1:surveys C1.2:
C1.3:
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Component Summary of commentsC2.1:C2.2:C2.3:C2.4:C3.1:C3.2:C4.1:C4.2:
D. Health & disease D1.1:records D1.2:
D1.3:D2.1:D2.2:D2.3:D2.4:D2.5:D2.6:D2.7:D3.1:D4.1:D4.2:
E. Health service records E1.1:
E1.2:E2.1:E2.2:E2.3:E2.4:E3.1:E3.2:E4.1:E4.2:E4.3:
F. Resource records 1. Infrastructure and health servicesF1.1:F1.2:F2.1:F2.2:F3.1:F4.1:
2. Human resourcesF1.3:F1.4:F2.3:F2.4:
3. Financing and expenditure
F1.5:F1.6:F2.5:F2.6:F2.7:F2.8:F3.2:F4.2:
4. Equipment, supplies and commoditiesF1.7:F1.8:F2.9:
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Component Summary of commentsF2.10:F2.11:F4.3:F4.4:
4. Data managementA1:A2:A3:A4:A5:
5. Information Products
A. Health status indicators 1. Under-5 mortality
- Mortality A1.1:A1.2:A1.3:A1.4:A1.5:A1.6:A1.7:
2. Maternal mortalityA2.1:A2.2:A2.3:A2.4:A2.5:A2.6:A2.7:
- Morbidity 3. HIV prevalenceA3.1:A3.2:
A3.3:A3.4:A3.5:A3.6:
B. Health Systemindicators
4. Measles coverage
B4.1:B4.2:B4.3:B4.4:B4.5:B4.6:B4.7:
5. Deliveries attended by skilled health profesionalsB5.1:B5.2:B5.3:B5.4:B5.5:B5.6:B5.7:
6. Tuberculosis (TB) treatment success rate under DOTSB6.1:B6.2:B6.3:
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Component Summary of commentsB6.4:B6.5:B6.6:B6.7:
7. General government expenditure on health per capitaB7.1:B7.2:B7.3:B7.4:B7.5:B7.6:B7.7:B7.8:
8. Private expenditure on health per capitaB8.1:B8.2:B8.3:B8.4:B8.5:B8.6:B8.7:B8.8:
9. Density of health workforceB9.1:B9.2:B9.3:B9.4:B9.5:B9.6:
C. Risk factors 10. Smoking prevalenceC10.1:C10.2:
C10.3:C10.4:C10.5:C10.6:
Additional indicators
6. Dissemination and useA. Analysis and use of A1:information A2:
A3:A4:
B. Information use forpolicy and advocacy
B1:
C. Information use for plan C1:
D. Information use for D1:resource allocation D2:
E. Information use for E1:implementation and E2:actions E3:
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Overall HIS
Resources Not assessedPolicy and planning Not assessedInstitutions, human resources & financing Not assessedInfrastructure Not assessed
Indicators Not assessed
Data sources Not assessedCensus Not assessedVital statistics Not assessedPopulation-based surveys Not assessed ResourcesHealth & diseases records Not assessedHealth service records Not assessedResource records Not assessed
Data management Not assessed
Information products Not assessed
Dissemination & use Not assessed
Data sources
0% 25% 50%
Overall
Policy and planning
Institutions, HR and financing
Infrastructure
0% 25% 50%
Resources
Indicators
Data sources
Data management
Information products
Dissemination & use
0% 25% 50%
Overall
Census
Vital statistics
Population-based surveys
Health & diseases records
Health service records
Resource records
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0% 25% 50% 75%
Resources
Indicators
Data sources
Data management
Information products
Dissemination & use
Overall HISReturn
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0% 25% 50% 75%
Overall
Policy and planning
Institutions, HR and financing
Infrastructure
ResourcesReturn
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0% 25% 50% 75%
Overall
Census
Vital statistics
Population-based surveys
Health & diseases records
Health service records
Resource records
Data sourcesReturn
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Abbreviations and acronyms
ANC Antenatal careDHS Demographic Health SurveyDOTS The internationally recommended strategy for tuberculosis control. DOT stands for directly
observed treatmentDSS Demographic Surveillance SystemGAVI Global Alliance for Vaccines and ImmunizationGHP Global health partnersGPS Global Positioning SatelliteHIS Health Information SystemHMIS Health Management Information SystemHMN Health Metrics NetworkHR Human resourcesICD International Statistical Classification of Diseases and Related Health ProblemsIDSR Integrated Disease Surveillance and ResponseICT Information and Communications TechnologyISCO International Standard Classification of OccupationsIHR International Health RegulationsIMF International Monetary Fund
LSMS Living Standard Measurement StudyMDG Millennium Development GoalsMICS Multiple Indicator Cluster SurveysMoH Ministry of HealthNGO Non-governmental organizationNHA National Health AccountsNSO National Statistics OfficeOECD Organisation for Economic Co-operation and DevelopmentPARIS21 Partnership in Statistics for Development in the 21st CenturyPES Post enumeration surveySARS Severe Acute Respiratory SyndromeSAVVY Sample Vital Registration with Verbal AutopsySPA Service Provision AssessmentSRS Sample Registration SystemTB TuberculosisUNDP United Nations Development ProgrammeUNFPA United Nations Population FundUNICEF United Nations Childrens FundVA Verbal AutopsyWHO World Health Organization
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Glossary for Statistics and Data ManagementCauses of death The causes of death to be entered on the medical certificate are defined as all those diseases, morbid conditions or
injuries which either resulted in or contributed to death and the circumstances of the accident or violence which producedany such injuries
Civil registration As defined by the UN: the continuous, permanent, compulsory and universal recording of the occurrence andcharacteristics of vital events (live births, deaths, foetal deaths, marriages and divorces) and other civil status events
pertaining to the population as provided by decree, law or regulation, in accordance with the legal requirements in eachcountry. It establishes and provides legal documentation of such events. These records are also the best source of vitalstatistics.
Data management A set of procedures to collect, store, analyse and distribute data. Once data are collected, a sound management approachis essential. Firstly, a metadata dictionary is necessary to accurately describe the data elements. Next, effective data-storage procedures require a well-designed logical structure to permit data retrieval and analysis. Data analysis andpresentation include calculating indicators and preparing tables and graphs. Finally, the data should be made available toall those who can use and act upon them.
Data warehouse An integrated information-storage area that consists of a data repository bringing together multiple databases from variousdata sources, and a report-generating facility.
DSS: Demographicsurveillance system
The longitudinal enumeration of all demographic events, including cause of death via verbal autopsy, in a geographicallydefined population.
Enumeration Distinct from registration; the means by which the presence of individuals in a household or other group is recorded;normally used in reference to a census or survey. Enumeration is anonymous and does not provide any direct benefit to theindividual.
ICT: Information andCommunicationsTechnology
Includes the computers, software, data-capture devices, wireless communication devices, and local and wide areanetworks that move information, and the people that are required to design, implement and support these systems.
ISCO: InternationalStandard Classification ofOccupations
One of the main international classifications, for which ILO is responsible. ISCO is a tool for organizing jobs into a clearlydefined set of groups according to the tasks and duties undertaken.
ICD: International StatisticalClassification of Diseasesand Related HealthProblems
A classification maintained by WHO for coding diseases, signs, symptoms and other factors causing morbidity andmortality; used world-wide for morbidity and mortality statistics and designed to promote international comparabilitycollection, processing, classification, and presentation of statistics.
Medical certification ofcause of death
Medical practitioners or other qualified certifiers use their clinical judgement to diagnose the cause(s) of death to beentered on the medical certificate.
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Metadata (dictionary) Metadata is data about data. To relate data from multiple sources, it is essential to develop common definitions andunderstand the characteristics of each data element. The tool for achieving this is the metadata dictionary. It coversdefinitions of data elements/variables, their use in indicators, data-collection method, time period of data-collection,analysis techniques used, estimation methods and possible data biases.
Microdata Nonaggregated data about the units sampled. In the case of population and household censuses and surveys, microdataconsists of records of the individuals and households interviewed.
Mortality rate The ratio of the number of people dying in a year to the total mid-year population in which the deaths occurred. This rate isalso called the crude death rate. The mortality rate may be standardized when comparing mortality rates over time (orbetween countries) to take account of differences in the population. This rate is then called the age-standardized deathrate.
SRS: Sample (vital)registration system
Longitudinal enumeration of demographic events including cause of death via verbal autopsy, in a nationally representativesample of clusters such as exists in China and India.
Underlying cause of death (a) the disease or injury which initiated the train of morbid events leading directly to death; or (b) the circumstances of theaccident or violence which produced the fatal injury.
Verbal autopsy A structured interview administered to care-givers or family members of households after a death occurs; used todetermine probable cause(s) of death where most deaths occur outside of health facilities and direct medical certification israre.
Vital registration All sanctioned modes of registering individuals and reporting on vital events.Vital statistics Data on vital events drawn from all of sources of vital events data. Particularly in developing country settings, where civil
registration functions poorly or not at all, the UN acknowledges that a variety of data sources and systems are used toderive estimates of vital statistics.
Vital statistics system A s defined by the UN: the total process of (1) collecting information by civil registration or enumeration on the frequency of occurrence of specified and defined vital events as well as relevant characteristics of the events themselves and (2) of compiling, processing, analysing, evaluating, presenting and disseminating these data in statistical form.
Glossary for National Health Accounts (NHA)Audit The legal requirement for a corporation to have its ba lance sheet, financial sta tement, and underlying accounting system
and records examined by a qualified auditor so as to enable an opinion to be formed as to whether the financial statementaccurately represent the company's financial condition and whether they comply with relevant statutes.
Entity An economic actor in the health system. Entities can be governments , bus inesses, organiza tions , individuals, families , etc.
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(Expenditure on health by)external resources
The sum of resources channelled towards health by all non-resident entities that enter into transactions with residententities, or have other economic links with resident units, explicitly labelled or not to health, to be used as means ofpayments of health goods and services by financing agents in the government or private sectors. Includes donations andloans, in cash and in-kind resources.
(Expenditure on health by)extrabudgetary entities
Extra-budgetary funds comprise publicly funded schemes that operate autonomously, such as university hospitals,foundations dealing with specific health risks etc.
(Expenditure on health by)firms and corporations
Expenditure on health services by all resident corporations and quasi-corporations not controlled by government, additionalto those channelled through social security and private medical insurance. Comprises direct outlays to medical careproviders and to suppliers of medical goods as well as reimbursements to households and the supply of services in kind tothe employees and sometimes their relatives. The WHO does not report parastatals expenditure on health under privateexpenditure but under general government expenditure on health.
Financial agents Institutions or entities that channel the funds provided by financing sources and use those funds to pay for, or purchase, theactivities inside the health accounts boundary.
Financing sources Institutions or entities that provide the funds used in the system by financing agents.
Functions The types of goods and services provided and ac tiv ities performed within the hea lth accounts boundary.
General governmentexpenditure on health
The sum of outlays for health maintenance, restoration or enhancement paid for in cash or supplied in kind by governmententities, such as the Ministry of Health, other ministries, parastatal organizations, social security agencies, (without double-counting the government transfers to social security and to extra-budgetary funds). Includes transfer payments tohouseholds to offset medical care costs and extra-budgetary funds to finance health services and goods. The revenue
base of these entities may comprise multiple sources, including external funds.Imputa tion Making an informed guess about a miss ing value us ing logical edits or s tatis tica l procedures .
National Health Accounts(NHA)
A tool for the systematic, comprehensive and consistent monitoring of resource flows in a national health system. Itprovides a framework with standard definitions, boundaries, classifications and a set of interrelated tables for standardreporting of expenditures on health and its financing. NHAs are designed to capture the resource flows for the mainfunctions of health-care financing: namely, resource mobilization and allocation; pooling and insurance; purchasing andproviding of care; and the distribution of expenditures by disease, socioeconomic characteristics and geopolitical areas.
(Expenditure on health by)NGOs
Expenditure on health by non-profit institutions serving households (NPISHs), which are not predominantly financed andcontrolled by government, that provide goods or services to households free or at prices that are not economicallysignificant.
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(Expenditure on health by)households' out-of-pocket
Expenditure on health by households as direct payments, discretionary, made to health practitioners and suppliers ofpharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to therestoration or to the enhancement of the health status of individuals or population groups. A household is an individual or agroup of persons sharing the same living accommodation, which pool some, or all, of their income and wealth and whichconsume certain types of goods and services collectively, mainly housing and food.
Private expenditure onhealth
The sum of outlays for health by private entities, such as commercial or mutual health insurance, non profit institutionsserving households, resident corporations and quasi-corporations not controlled by government with a health servicesdelivery or financing, and households.
(Expenditure on health by)private health insurance
Expenditure on health by private insurance institutions. Private insurance enrolment may be contractual or voluntary, andconditions and benefits or basket of benefits are agreed under voluntary basis between the insurance agent and thebeneficiaries. They are thus, not controlled by government units for the purpose of providing social benefits to members.
Providers Entities that receive money in exchange for or in anticipation of producing the activities inside the health accountsboundary.
(Expenditure on health by)social security
Expenditure on health by social security institutions. Social security or National health insurance schemes are imposed andcontrolled by government units for the purpose of providing social benefits to members of the community as a whole, or toparticular segments of the community. Comprises direct outlays to medical care providers and to suppliers of medical
goods as well as reimbursements to households and the supply of services in kind to the enrolees.
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Requires Microsoft Excel, Microsoft Office or
Communicate problems and suggestions by email to:
Return to Menu
www.healthmetricsnetwork.org
Copyright 2007 Health Metrics Net
Health Metrics Networ
See Manual for Instructions and Hel
Assessment Tool for Country Health Information Sy
Distribution Version for Round 1 Coun
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pen Office
ork
p
tems - Version 3.00
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