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Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBA Benjamin Francisco, PhD, PNP, AE [email protected] [email protected] Sherri Homan, RN, PhD Paul Foreman, MA, MS, PhD [email protected] [email protected] Eric Armbrecht, PhD Tammy Rood, PNP, AE-C [email protected] [email protected] October 12, ®
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Page 1: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Data, Decision-Making and Improving Outcomes

Missouri Asthma Prevention and Control Program

Peggy Gaddy, RRT, MBA Benjamin Francisco, PhD, PNP, [email protected] [email protected] Sherri Homan, RN, PhD Paul Foreman, MA, MS, PhD [email protected] [email protected]

Eric Armbrecht, PhD Tammy Rood, PNP, AE-C [email protected] [email protected]

October 12, 2011

®

Page 2: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri Prevalence*

• 8.8% MO adults current asthma (2010)

- up from 7.2% (2000)

• 10.9% MO children current asthma

Disease Severity (Health Service Utilization)*

• Highest hospitalization rates: ages 1-4• Elevated rates until age 14,

lower between age 15-44• Significant for African-Americans

guided by data

*Missouri Department of Health and Senior Services. Missouri Information for Community Assessment (MICA) and Behavioral Risk Factor Surveillance System http://health.mo.gov/data/brfss/index.php

12.9

24.3

10.35.0 3.1 3.1 3.3

6.5 9.8

16.5

9.3

43.2

102.1

66.9

49.5

24.519.8

17.6

31.9

46.039.9 42.6

0102030405060708090

100110

Under 1 1 - 4 5 - 9 10 - 14 15 - 17 18 - 19 20 - 24 25 - 44 45 - 64 65 and Older

All Ages

Rate per 10,000

Age

White

African-American

Asthma Hospitalization Rates by Race and Age Group Missouri, 2008

2006 2007 2008 2010

0

2

4

6

8

10

12

14

1613.4 13.1

14 14.5

9.5 8.6

10.110.9

Prevalence of Childhood Asthma, age < 17, Missouri

Lifetime

Current

Percent

Page 3: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri Prevalence*

• 19.6% St. Louis City children current asthma (2008)

Disease Severity (Health Service Utilization)

• Significant for African-Americans• ER visit rate almost 3x higher

guided by data

*Missouri Department of Health and Senior Services. Behavioral Risk Factor Surveillance System and MICA.

Rural vs. Urban• ER visits for children highest rates in urban

counties• High hospitalization

rates for rural counties ER Rates for Asthma Children (age 0-14), 2007-2009*

Page 4: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri guided by data

Asthma in Missouri• Hospital charges of $96 million

(2008)

• MO Health Net covers about one-third of all asthma ER visits and hospital stays

• Longer length of hospital stay for Medicare recipients

200020012002200320042005200620072008

0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000

2,6152,5732,7582,8732,802

2,6272,5592,5572,709

2,4052,468

2,5552,540

2,2982,441

2,1852,250

2,420

1,8802,065

2,1382,475

2,5972,894

2,9712,803

3,110

Number of Asthma Hospitalizations by Medicaid, Commercial and Other Pay Sources, Missouri, 2000-2008

Medicaid

Commercial

All Other

Number of Inpatient Hospitalizations

Pay Source Average Asthma Hospital Days of Care (2000-2008)

Medicare 4.3

Workers’ Compensation 3.6

Commercial 2.9

Medicaid 2.4

Self-Pay 2.4

Missouri Information for Community Assessment

Page 5: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri guided by data

*Missouri Department of Social Services, Mo Health Net

Medicaid (aka, MO Health Net)

Persistent asthma age 0-64 (SFY 2010)

• Prevalence FFS Medicaid: 11.3%- up from 10.6% (SFY 2008)

• Met at least one criteria in a year:- Four or more asthma prescriptions- One or more ER visits or

hospitalizations with primary diagnosis of asthma

- Four or more outpatient visits with asthma as a listed diagnosis and at least two asthma medications

2008 2009 20100

2

4

6

8

10

12 10.6 10.9 11.3

Prevalence of Persistent Asthma, Medicaid FFS, Missouri, SFY 2008 - 2010

Percent

Page 6: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri guided by data

*Missouri Department of Social Services, Mo Health Net

MedicaidPersistent asthma age 0-64 (SFY 2010)

• Acute care utilization

• 10.4% sought care at ER

• 3.2% had an inpatient hospital stay

• 30.6% had at least one office visit

• Overall cost estimated $46 million

2008 2009 2010$0

$50$100$150$200$250$300$350

291.85323.31 316.41

101.69 109.41 111.61

18.44 24.91 26.85

Medicaid cost per-member-per-month for medical services other than medication, Missouri

Inpatient hospital

ER Visits

Office Visits

Page 7: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Surveillance in Missouri guided by data

*Missouri Department of Social Services, Mo Health Net

Medicaid (MoHealth Net Data Project)

Persistent asthma ages 6-18

• 36.4% received inhaled corticosteroids and national average is 79.8% (Arellano, et al, 2011)

• 24.0% ICS medication possession ratio (MPR) adherence for all ages (SFY 2010)

• $ 2574 paid for medication per persistent asthmatic child annually

• Poor ICS medication use and adherence contributes to acute care utilization

2008 2009 201005

10152025303540 35.59 37.29 37.38

22.45 23.44 23.97

13.14 13.85 13.25

ICS Medication Possession Ratio Medicaid Population with Persistent Asthma, Missouri

Marginal and Adherent 61% or greater

Adherence 81% - 100%

Marginal Ad-herence 61% - 80%

Percent

SA Beta

Agonist

s

Leuko

trien

e Modifiers

Inhaled St

eroid Combo

Inhaled Corti

coste

riods

0

40,000

80,000

120,000132,641

79,73053,451

26,191

Medicaid Leading Prescribed Asthma Medication by Number of Claims, Missouri

Page 8: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Successful Strategies just do it.& Promising Interventions

MAPCP interventions are designed to support sustainable asthma care improvements by focusing* on

workforce development and community-based

leadership.

* but not exclusively, of course

Tools for Schools

Page 9: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

• Improvement of School Asthma Services - partner with DHSS over the last decade, contract nurses, MASN

• Asthma Ready® Clinics- clinic staff including physicians, nurse practitioners, nurses, receptionists/billing clerks and respiratory therapists receive asthma standardized medical management curricula, equipment & protocols

• Asthma Ready® Schools - School nurses trained, standardized curricula - School assessments and interventions are based on EPR3 guidelines- Actionable data are documented and sent to the parents and PCP

(should be in real time)

Background®IMPACT Asthma Kids©

Care

Page 10: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

• Based on dyad approach – clinic and school district in proximity prepared to deliver care

• Rural and urban school districts identified as having the highest persistent childhood asthma rates and level of health risk in Missouri

• Identify targets by matching the zip codes clinic sites of Federally Qualified Health Centers (FQHC) and Asthma Ready Clinics (includes Medical Homes) with local school districts

• School nurses (17% of 1,600 total) who expressed interest in IMPACT programs after receiving 2011 Missouri School Asthma Manual

School District

School /Clinic Based IMPACT Programs ®

Page 11: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Message Type Audience Cost

1) Asthma Literacy - 4 concepts

Student w/asthma(school-based)

Low ($5-25)

2) Key Messages - EPR3 defined

Patient and family(medical home)

Low (bundled)

3) Risk Reduction - 99402 and 99401

Patient and family(medical home)

Medium ($40, $20 x 2 = $80)

4) Self-management - 98960

Patient and family(multiple settings)

Medium ($100)

Education & Care based on Real Need + Right Service at a Reasonable Cost

Stratified = Intensity “cost” of care is appropriate for burden of disease (not just the dollars already spent on health care)

®

Page 12: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Message Type Program Reach Funding

1) Asthma Literacy - 4 concepts

Teaming up for Asthma Control

1K school nurses

CDC/MFH$900K

2) Key Messages - EPR3 defined

Asthma Ready®Clinics

100 ARC, 500 MH MFH/DHSS$300K

3) Risk Reduction - 99402 and 99401

Counseling for Asthma Risk Reduction

500 Medical Homes

DHSS$150 K

4) Self-management - 98960

ABC (caregivers)ACE (school-age)

1000 - 0 to 5 1200 - 6 to 12

DHSS $100KMFH $100K

Education & Care based on Real Need + Right Service at a Reasonable Cost

Stratified = Intensity “cost” of care is appropriate for burden of disease (not just the dollars already spent on health care)

®

Page 13: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Successful Strategies just do it.& Promising Interventions

®

14,000 Medicaid kids

HEDIS1) ER

2) Inpatient3) 4 Outpatient & >1 Rx,

4) >3 asthma Rx dispensed

(by school district)

Page 14: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Successful Strategies just do it.& Promising Interventions

®

Missouri Asthma Educator Network-

Credentialed Health

Professionals

More than 1,400 trained

mid-level (6 hours)

Page 15: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

®

Page 16: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Self and Medical Management Interventions

• IMPACT Asthma Kids© – a multimedia, self management education program for students and parents (recognized by

NIH as 1 of 3 evidence-based computer approaches)

• Teaming Up for Asthma Control© – an IMPACT derivative for asthma literacy, funded by CDC, uses a standardized student

assessment to guide school nurse documentation of actionable asthma data

• Assessment– functional impairment (selected items from the Children’s Health Survey, for Asthma, American Academy of

Pediatrics)

– FEV1– inhalation technique– recognition and adherence to ICS medications for messaging parents & primary

care providers

®

Page 17: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Student Asthma LiteracyTeaming Up for Asthma Control©

IMPACT Asthma Kids©, evidence-based

(c) Benjamin Francisco, PhD, PNP, AE-C 2011

®

Page 18: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

TUAC Evaluation Methods and Initial Results

• Pre-Post TUAC intervention outcome indicators for these children were derived from 2008, 2009, 2010, 2011

Medicaid data:– asthma outpatient visits – ER visits and hospitalizations– medication claims– per member per month (PMPM) categorical costs

• Missouri Department of Elementary and Secondary Education (DESE) attendance and achievement records

• 87 children participated. After TUAC intervention FEV1 significantly improved by 14.7%, inhalation technique improved significantly, student-reported impairment and smoke exposure declined significantly.

®

Page 19: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

New, Compelling Asthma Outcome Variables

• ACD Acute Care Day Score ACD is defined as the number of days

of acute care events in a given time period

If ACD = 6– 6 ER visits

– 6 inpatient days or – 3 ER visits & 3 inpatient days

®

Page 20: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

New, Compelling Asthma Outcome Variables

• POPT – Proportion (P) of Outpatient

visits (OP) to Total visits (T) including OP, ER visits & inpatient days

– expressed from 0 to1 – where

• “0” is the worst case scenario (no outpatient visits, all asthma

encounters are in acute care settings) • “1” is the best case

scenario (only OP visits)

Example

1 OP visit and 9 ER visits

1 OP / 1 OP + 9 ER =

0.1 POPT

Or

10%

®

Page 21: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

New, Compelling Asthma Outcome Variables

• DPR Dose Possession Rate

• Daily amount of drug (i.e., inhaled corticosteroids) available over a dispensing interval

• Charting ACD, POPT & DPR to model opportunities for family member, PCP and school nurse messaging

• Data available within one month of event for timely actions

®

Page 22: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

New, Compelling Asthma Outcome Variables

• DPR charts change trajectory of care

• Micrograms of asthma medication and EPR3 ICS dose ranges are plotted on the y axis by EPR3 guidelines

– by age, sub-therapeutic, low, medium, high or very high

• Asthma ACD (ED and IP days) are plotted on the x axis (time)

• POPT is calculated and displayed. DPR graphed by actual dispensing interval, by year & 90 day

• Trajectory of delivered asthma health care can be analyzed and appropriate interventions prompted by messaging members, PCPs and school nurses

®

Page 23: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Sub-therapeutic doses of ICS, low PopT, high ACE, high SABA

Page 24: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Two ER visits, starts ICS,

SABA use drops

Page 25: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

High ACE > 11, 31 oral steroid bursts, sub-therapeutic ICS, high SABA, high cost

Page 26: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

ACE =1 (ED visit), high SABA, PopT = 0.83,

TUAC participation, medium dose ICS

Page 27: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Intervention Data Messaging Capacity

Well Controlled

Not Well Controlled

Very Poorly Controlled

• Initial TUAC assessments are analyzed by EPR3 algorithms to suggest additional assessments and interventions by the school nurse

• Children are categorized into three zone classifications of EPR3→

• Parents and PCPs are alerted by school nurse regarding findings in timely manner

• All clinical interventions are collaborative with goal of moving children into the GREEN zone over time. An expert support system is needed to provide resources, analysis and messaging (ARC)

Page 28: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Clinicians Assess Impairment & Risk

Page 29: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

School nurses assess impairment & risk

Page 30: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

School Nurse

Messages PCP

Page 31: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

Students Receiving Award for Finishing Asthma Education

Benjamin Francisco, PhD, PNP, AE-C Asthma Ready®, University of Missouri

Page 32: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

• Identify populations of children suffering from the most severe asthma– Claims: high ACD, low POPT, sub-therapeutic ICS, higher cost of care – School: exacerbations, low FEV1, high impairment, high absenteeism

• Train local school and clinic (including medical homes) dyads in EPR3 guidelines for care using standardized curricula

• Continuously analyze school & claims data to deploy and stratify interventions to meet their needs and the family circumstances

• Produce actionable data for key providers

• Track individual and aggregated outcomes and evaluate using advanced scientific methodology

Changing Outcomes for Missouri Children with Asthma: MO Health Net Collaboration

Page 33: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

just do it.

• Per member per month (PMPM) costs for children ages 5-18 identified with persistent asthma was $1,497 for 6,577 participants in 2010.

• Per member per month costs for children ages 5-18 was $1044 for 134 patients of an EPR3-compliant practice in 2010.

• EPR3-treated group costs were 9.6% higher for ICS medication costs and 17% higher costs for treating co-morbid conditions when compared to population mean.

• However the total asthma direct costs were 4.7% lower for EPR3-treated group.

• Remarkably, total asthma medication costs were 33% lower and total cost of care was 30% lower for the EPR3-treated patient group.

Changing Cost Outcomes for Missouri Children with Asthma:

MO Health Net Data Project Collaboration

Page 34: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

Partnerships leveraged resources

MAPCP’s Role: Link statewide and local partnersOur Little Secret : Everyone is welcome, but MAPCP strategically builds partnerships to reach target population Our Purpose for Partnership: Leverage resources … to the max.

HOW DOES PARTNERSHIP IMPROVE ASTHMA CARE?• Interdisciplinary Sharing: Expertise and resources

• Coordination: Activities are planned and implemented together

• Innovation: New ideas and collaborations are fostered between stakeholders

• Priorities: Partners set priorities for surveillance and interventions

• Relevance: Key asthma issues move to forefront of systems-based strategies and public health planning

Note:CDC’s $3.4 million investment in MAPCP (2001-2011) has helped produce a >$20 million investment from MAPCP partners in activities aligned with the State Plan Putting Excellent Asthma Care Within Reach.

State Plan 2005

State Plan 2010

Page 35: Data, Decision-Making and Improving Outcomes Missouri Asthma Prevention and Control Program Peggy Gaddy, RRT, MBABenjamin Francisco, PhD, PNP, AE peggy.gaddy@health.mo.govpeggy.gaddy@health.mo.gov.

LOCAL STRATEGY EXAMPLEFramework for Community-based Approaches to Improving Asthma Care for Children

– Simple, to-the-point, one-page summary– Sets goals and interventions for integrating efforts in five areas:

schools, home environment assessments, primary care providers, hospitals/emergency rooms, and child care

KEY CONCEPTS1. Demonstrate success at local level

– Kennett Public Schools (Dunklin County)– Springfield (Greene County)

2. Experience, testimonials and data drive expansion of successful ideas

3. Identify statewide policy change opportunities through community-based work (e.g., spacers)

4. Statewide workforce development produces system-level change (e.g., LPHA staff, school nurses)

5. Cultivate local leadership– Asthma School Nurse Award, Missouri Asthma Coalition

systems thinking

Local + Statewide =Sustainable Interventions

Greene Co. (Springfield) pop.=269,630

Dunklin Co. (Kennett) pop.= 31,039


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