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Understanding the Burden of Congestive Heart
Failure and Cardiovascular Disease in South Los
Angeles: An Academic, Community, and
Safety Net Provider Collaborative Effort

October 18, 2012

Lark Galloway-Gilliam, MPA
Annie Park, MPH
Jessica Jew, MPH
Community Health Councils

Ami M. Shah, MPH
UCLA Center for Health Policy Research

Nina Vaccaro, MPH
South Coalition of Community Health Centers

Roberto Vargas, MD, MPH
Division of General Internal Medicine and Health Services Research,
David Geffen School of Medicine at UCLA,
Medical Sciences Institute, Charles Drew University and
RAND Health
Background
   South Los Angeles Healthcare Leadership Roundtable
       2011 retreat Office of Statewide Health Planning and
        Development (OSHPD) data demonstrates high rates
        of Congestive Heart Failure (CHF) admissions
            (706 per 100,000) in South LA compared to the rest
             of Los Angeles County (350 per 100,000)
       2012 retreat breakout group targets reduction of
        disparate CHF for future partnered activity
       Partnership pursued funding to collaboratively develop
        an approach to address the excess burden of heart
        disease in South LA
                                                                  2
Los Angeles County
Service Planning
Areas SPA 6
and
Health Districts (26)




                        3




                            3
4
Aims

   Aim 1: Engage the partner organizations to
    shape exploratory analyses of descriptive
    data on heart failure and its risk factors and
    related outcomes

   Aim 2: Engage the partners to develop
    consensus on selected cardiovascular
    disease conditions and measures for risk
    factor and CHF case identification in clinic
    settings
Methods: Community Partnered
Participatory Research
Knowledge Exchange: Providers, academics
  and community on the public health problem
 California Health Interview Survey (CHIS)
       Small area estimates
   Inpatient data (OSHPD)
       Discharges
       Quality indicators
   Additional support for case identification and
    registry development
Methods: Community Partnered
Participatory Research
Knowledge Exchange: Share data with
 providers and community on the public health
 problem:
    What do safety net providers need to know in
     order to drive change toward improved
     health?
    What role can they play in reducing the
     burden of disease?
    How do we support this role?
Methods: Community Partnered
Participatory Research

Delphi Method Approach
 Develop consensus on approach to reducing
  burden of Congestive Heart Failure in the
  South Los Angeles Community
    Review of populations health statistics
    Review clinic spectrum of disease
    Review evidence on disease detection and
     treatment
Outcomes
    Knowledge Exchange:
        South Los Angeles Healthcare Leadership
         Roundtable, September 13th and October 9th
        Medical Directors’ Meeting, South Side Coalition of
         Community Health Centers, September 11th
    Review of secondary data sources and findings
        OSHPD data by Service Planning Area (SPA) and
         Health Districts (HD)
        CHIS data by SPA, HD and small area estimates
    Iterative analyses and feedback
Heart Failure Prevention Quality
Indicator #8 RatesBy SPA
standardized rates per 100,000, OSHPD 2007-2009 average

                ED Encounters               Hospital Admissions




                                     699


                                                                    396
   380                                                381
                    233
                                     118
    44               25                                   45         66
                                                                              10
  Metro            West             South             East        South Bay
Heart Disease Prevalence by SPA
among adults age 18 and over


                                     Los Angeles County = 5.8%




                             7.0                                         6.8
          6.2                                                    6.2
                                                5.0




        Metro*             West LA           South LA        East LA   South Bay

 Source: CHIS 2009, Ever diagnosed with heart disease
  CHIS 2009                                                                        11
  * Estimate is unstable
Risk Factors for Preventable Hospitalizations?
2009 CHIS Data




                             * Statistical Significance (95% CI’s do not overlap)



                                Take away messages
                                -SPA 6 is less confident in
                                managing heart disease
                                -SPA 6 more likely to be
                                diagnosed with HBP but less
                                likely to take meds
                                                                                    12
13
Outcomes: Iterative analyses and
 feedback
    Suggested Analyses
        “How does insurance (uninsured/Medi-Cal) affect
         access to care, can you break down the data to show
         payer source? Gender? Demographics?”
        “Problems of low medication adherence, are there
         ways to improve compliance? Demographics of those
         most at-risk and targeted outreach to these
         populations?”
        “Can you provide more information on the cultural
         background of patients presenting with heart
         disease?”
        “Can this data be shown over time to see if there are
         patterns/significant events that emerge?”
Outcomes: Iterative analyses and
feedback
    Examples of Barriers
        “There’s a disconnect at hospitalization between
         community health center providers and hospital and
         emergency departments care teams”
        “There is no access to Echocardiograms without
         cardiologist referrals and subspecialist access is
         limited”
        Provider workforce limitations both specialist and
         primary care
        Uncertainty on best evidence or “low cost” evidence
         based practices for heart failure detection and care
Outcomes: Iterative analyses and
feedback
    Suggested Intervention Targets
        “Diabetes is often a co-occurring chronic disease
         and clinics need to have a better way of targeting at
         risk patients through lab/billing data. Obesity is also
         another risk factor, is there a way to systematically
         track these risk factors and focus on prevention?”
        “How can safety net providers better track ischemic
         heart disease? The quality improvement indicators
         that would help to catch these patients often aren’t
         used regularly in these settings. How to better
         manage patients with co-occurring disorders such
         as COPD, diabetes, obesity and heart disease? “
CERP Aims
   Promote and sustain bidirectional knowledge
    sharing between community and academia

   Strengthen community infrastructure for
    sustainable partnered research

   Drive innovation in community engagement that
    accelerates the volume and impact of partnered
    research in diverse communities.
CERP Aims
   Build health services research (HSR) methods
    into partnerships to accelerate design,
    production, and wide adoption of evidence-
    based practice and behavior

   Establish a governance and operations
    infrastructure that strengthens existing
    partnerships and builds new bridges between
    community and academia for research.
Understanding the Burden of Congestive Heart Failure and Cardiovascular
 Disease in South Los Angeles: An Academic, Community, and Safety Net
                      Provider Collaborative Effort
Milestones                                 Timeline in Months
                                       3       6           9         12

Aim 1 Knowledge exchange and
descriptive database creation

Aim 2 Clinical condition and
indicator selection for registry and
protocol development
Community partner engagement
meetings, dialogue, and feedback

Complete analyses of secondary
data, generate final report and
manuscript
Added Value from CTSI
   Improved access to databases and supported
    relevant secondary data analyses
   Increased engagement of research
    community with safety-net providers and
    community based organizations
   Supported continued dialogue
   Partnered hypothesis generation
   Intervention design suggestions
Next steps
   Complete knowledge exchange: Guidelines,
    evidence reviews, and current research findings
   Additional grant support: National Institute for
    Minority Health and Health Disparities and
    Centers for Disease Control
       Patient engagement
       Extend work into other communities
       Implement registry
       Design and implement interventions
           Prevention, disease detection, treatment and care
            coordination

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Understanding the Burden of Heart Disease in South Los Angeles

  • 1. Understanding the Burden of Congestive Heart Failure and Cardiovascular Disease in South Los Angeles: An Academic, Community, and Safety Net Provider Collaborative Effort October 18, 2012 Lark Galloway-Gilliam, MPA Annie Park, MPH Jessica Jew, MPH Community Health Councils Ami M. Shah, MPH UCLA Center for Health Policy Research Nina Vaccaro, MPH South Coalition of Community Health Centers Roberto Vargas, MD, MPH Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Medical Sciences Institute, Charles Drew University and RAND Health
  • 2. Background  South Los Angeles Healthcare Leadership Roundtable  2011 retreat Office of Statewide Health Planning and Development (OSHPD) data demonstrates high rates of Congestive Heart Failure (CHF) admissions  (706 per 100,000) in South LA compared to the rest of Los Angeles County (350 per 100,000)  2012 retreat breakout group targets reduction of disparate CHF for future partnered activity  Partnership pursued funding to collaboratively develop an approach to address the excess burden of heart disease in South LA 2
  • 3. Los Angeles County Service Planning Areas SPA 6 and Health Districts (26) 3 3
  • 4. 4
  • 5. Aims  Aim 1: Engage the partner organizations to shape exploratory analyses of descriptive data on heart failure and its risk factors and related outcomes  Aim 2: Engage the partners to develop consensus on selected cardiovascular disease conditions and measures for risk factor and CHF case identification in clinic settings
  • 6. Methods: Community Partnered Participatory Research Knowledge Exchange: Providers, academics and community on the public health problem  California Health Interview Survey (CHIS)  Small area estimates  Inpatient data (OSHPD)  Discharges  Quality indicators  Additional support for case identification and registry development
  • 7. Methods: Community Partnered Participatory Research Knowledge Exchange: Share data with providers and community on the public health problem:  What do safety net providers need to know in order to drive change toward improved health?  What role can they play in reducing the burden of disease?  How do we support this role?
  • 8. Methods: Community Partnered Participatory Research Delphi Method Approach  Develop consensus on approach to reducing burden of Congestive Heart Failure in the South Los Angeles Community  Review of populations health statistics  Review clinic spectrum of disease  Review evidence on disease detection and treatment
  • 9. Outcomes  Knowledge Exchange:  South Los Angeles Healthcare Leadership Roundtable, September 13th and October 9th  Medical Directors’ Meeting, South Side Coalition of Community Health Centers, September 11th  Review of secondary data sources and findings  OSHPD data by Service Planning Area (SPA) and Health Districts (HD)  CHIS data by SPA, HD and small area estimates  Iterative analyses and feedback
  • 10. Heart Failure Prevention Quality Indicator #8 RatesBy SPA standardized rates per 100,000, OSHPD 2007-2009 average ED Encounters Hospital Admissions 699 396 380 381 233 118 44 25 45 66 10 Metro West South East South Bay
  • 11. Heart Disease Prevalence by SPA among adults age 18 and over Los Angeles County = 5.8% 7.0 6.8 6.2 6.2 5.0 Metro* West LA South LA East LA South Bay Source: CHIS 2009, Ever diagnosed with heart disease CHIS 2009 11 * Estimate is unstable
  • 12. Risk Factors for Preventable Hospitalizations? 2009 CHIS Data * Statistical Significance (95% CI’s do not overlap) Take away messages -SPA 6 is less confident in managing heart disease -SPA 6 more likely to be diagnosed with HBP but less likely to take meds 12
  • 13. 13
  • 14. Outcomes: Iterative analyses and feedback  Suggested Analyses  “How does insurance (uninsured/Medi-Cal) affect access to care, can you break down the data to show payer source? Gender? Demographics?”  “Problems of low medication adherence, are there ways to improve compliance? Demographics of those most at-risk and targeted outreach to these populations?”  “Can you provide more information on the cultural background of patients presenting with heart disease?”  “Can this data be shown over time to see if there are patterns/significant events that emerge?”
  • 15. Outcomes: Iterative analyses and feedback  Examples of Barriers  “There’s a disconnect at hospitalization between community health center providers and hospital and emergency departments care teams”  “There is no access to Echocardiograms without cardiologist referrals and subspecialist access is limited”  Provider workforce limitations both specialist and primary care  Uncertainty on best evidence or “low cost” evidence based practices for heart failure detection and care
  • 16. Outcomes: Iterative analyses and feedback  Suggested Intervention Targets  “Diabetes is often a co-occurring chronic disease and clinics need to have a better way of targeting at risk patients through lab/billing data. Obesity is also another risk factor, is there a way to systematically track these risk factors and focus on prevention?”  “How can safety net providers better track ischemic heart disease? The quality improvement indicators that would help to catch these patients often aren’t used regularly in these settings. How to better manage patients with co-occurring disorders such as COPD, diabetes, obesity and heart disease? “
  • 17. CERP Aims  Promote and sustain bidirectional knowledge sharing between community and academia  Strengthen community infrastructure for sustainable partnered research  Drive innovation in community engagement that accelerates the volume and impact of partnered research in diverse communities.
  • 18. CERP Aims  Build health services research (HSR) methods into partnerships to accelerate design, production, and wide adoption of evidence- based practice and behavior  Establish a governance and operations infrastructure that strengthens existing partnerships and builds new bridges between community and academia for research.
  • 19. Understanding the Burden of Congestive Heart Failure and Cardiovascular Disease in South Los Angeles: An Academic, Community, and Safety Net Provider Collaborative Effort Milestones Timeline in Months 3 6 9 12 Aim 1 Knowledge exchange and descriptive database creation Aim 2 Clinical condition and indicator selection for registry and protocol development Community partner engagement meetings, dialogue, and feedback Complete analyses of secondary data, generate final report and manuscript
  • 20. Added Value from CTSI  Improved access to databases and supported relevant secondary data analyses  Increased engagement of research community with safety-net providers and community based organizations  Supported continued dialogue  Partnered hypothesis generation  Intervention design suggestions
  • 21. Next steps  Complete knowledge exchange: Guidelines, evidence reviews, and current research findings  Additional grant support: National Institute for Minority Health and Health Disparities and Centers for Disease Control  Patient engagement  Extend work into other communities  Implement registry  Design and implement interventions  Prevention, disease detection, treatment and care coordination