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Systems-level Monitoring and Evaluation
   of a Large-scale Combination HIV
  Prevention Initiative in 12 U.S. Cities

   Holly H. Fisher, Tamika Hoyte, Dale Stratford, and
                        Gary Uhl
         2011 National HIV Prevention Conference
                       Atlanta, GA



           National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
           Division of HIV/AIDS Prevention
OVERVIEW
Overview
   ECHPP background and rationale
   Monitoring and evaluation plan
   Logic models
   Analysis and reporting
   Collaboration with stakeholders
   Recent milestones
   Questions and discussion
ECHPP BACKGROUND AND
RATIONALE
National HIV/AIDS Strategy
   July 2010- White House released National
    HIV/AIDS Strategy (NHAS)

        NHAS Goals:
             Reduce new HIV infections
             Increase linkage to care and overall health
              outcomes for persons living with HIV
             Reduce HIV-related health disparities

   Six federal agencies were asked to develop
    operational plans that describe how they will
    advance NHAS
National HIV/AIDS Strategy
    Dec. 2010- HHS operational plan1 is submitted
        Described:
               • ongoing efforts to align existing activities with NHAS
               • new initiatives that support NHAS goals
        HHS 12-Cities Project- accelerate comprehensive
         HIV/AIDS planning and cross-agency response in the
         12 U.S. jurisdictions hardest hit by HIV/AIDS
    CDC ’s Enhanced Comprehensive HIV
     Prevention Plan (ECHPP) is one of the major
     12-Cities Project initiatives
1Department of   Health and Human Services. HHS Operational Plan for National HIV/AIDS Strategy. Available at:
http://aids.gov/federal-resources/policies/national-hiv-aids-strategy/nhas-operational-plan-hhs.pdf. Accessed April
26, 2011.
*
 Enhanced Comprehensive HIV
Prevention Plans (ECHPP) project
ECHPP description
   Three-year project (Sept. 2010 to Sept. 2013)
    implemented by health depts in 12 MSAs with
    highest AIDS burden
   Project objectives
     Develop an enhanced plan that aligns the jurisdiction’s
      prevention and care activities with NHAS
     Identify/implement optimal combination of
      prevention, care, and treatment activities
     Implement activities at appropriate scale
     Increase targeting of highest risk groups
Priority populations
   African Americans/        People living with
    Blacks                     HIV/AIDS
   Hispanics/Latinos         People at high risk
   Injection drug users       with negative or
   High-risk                  unknown HIV status
    heterosexuals
   Men who have sex
    with men
MONITORING AND
EVALUATION PLAN
Systems-level M & E
   ECHPP is a systems approach to HIV
    prevention
   Systems-level monitoring and evaluation…
     Multiple levels
     Broad assessment of entire entity, as well as some
      examination of individual components
     Components of interest can vary widely
     Breadth vs. depth trade-off
   New frontier for DHAP evaluators
Systems-level M & E
   Scaled, combination prevention programs
    require:
     Synthesis of multiple data and methods to arrive at
      overall picture of epidemic
     Innovative, systems-level evaluation approach
     An evaluation approach that’s flexible as programs may
      evolve, change over time
   Must assess optimal combinations of HIV
    prevention and continuum of care activities
   Triangulation of data, using mixed methods
    and data sources
Process
   Local process monitoring
     Measures and objectives are locally-defined
     Report to CDC site team for program improvement
   Core process monitoring
     Standardized measures across jurisdictions
     Measures were developed in collaboration with
      grantees
   Use of program data from other federal
    agency data sets
Outcome
   Analyze outcomes from clinical and behavioral
    surveillance data systems
     Medical Monitoring Project (MMP)
     National HIV Behavioral Surveillance (NHBS)
     (New) MSM Web surveillance project
   Collect additional outcome data via serial,
    cross-sectional surveys in six ECHPP cities
     Two surveys
        • Clinic survey for HIV-diagnosed ppl in care (modeled after
          MMP)
        • Community survey for IDUs and high-risk heterosexuals
          (modeled after NHBS)
Impact
   Analyze impact data from HIV surveillance
    systems:
     Case surveillance (eHARS)
     Behavioral and clinical surveillance (MMP, MSM web
      surveillance)
     Incidence surveillance
   Will also look at long-term outcomes from
    clinical and behavioral surveillance systems to
    assess impact
Monitoring & evaluation questions
Program implementation
Which services and programs were provided?
Which populations were reached?
Were ECHPP (local) objectives met?
What were barriers and facilitators to implementation? (at
program-, agency-, and community-level)


Allocation of resources
How was health dept funding allocated across ECHPP
activities?
How was the funding allocated across ECHPP priority
populations?
Monitoring & evaluation questions
Outcomes among HIV-positive individuals:
Was there a reduction in HIV risk behaviors?
Was there an increase in service access and participation in HIV
prevention activities?
Was there an increase in positive health outcomes?


Outcomes among high-risk, HIV-negative/HIV-unknown
individuals:
Was there a reduction in HIV risk behaviors?
Was there an increase in service access and participation in HIV
prevention activities?
Monitoring & evaluation questions
Impact among priority populations:
Was there a reduction in HIV incidence or indicators of HIV
risk?
Was there an increase in linkage to, and impact of, prevention
and care services for people living with HIV/AIDS?
Was there a reduction in HIV-related health disparities?
LOGIC MODELS
ANALYSIS AND REPORTING
Analysis and reporting
   Three-tiered approach that uses existing data
    systems, as well as new data collections
   Triangulation across data sources
       Health dept-reported program data
       Program data obtained from other federal agencies
       Population-based, self-report survey data
       Population-based, surveillance data
Analysis and reporting
   Descriptive reporting to demonstrate progress
    toward local objectives, NHAS goals
   Data synthesis and triangulation
   Trend analysis
   Statistical modeling to assess indicators over
    time
   Thematic analysis of qualitative and
    contextual info
ECHPP Evaluation Timeline                                                                     Revised August 2011




                         Nov         April                Oct            Oct              Oct             Oct               Oct
2007-08       2009       2010        2011                 2011           2012             2013            2014              2015
                                                                                                            Data types:
                          ECHPP              ECHPP
                         Planning        Implementation
                                                                                                                              Process
                        (10-10181)         (10-10181)
                                                                  ECHPP Implementation                                        Outcome
                                                                       (11-1117)
                                                                                                                              Impact
       CDC-funded Program Data                   ECHPP Process Data Collection

                                    Other Federal Agency Data (e.g., HRSA, SAMHSA, CMS)                      Supplemental data collection
                                                                                                            (6 cities)
                                                  Community and                      Community and
                                                   clinic surveys                     clinic surveys
NHBS-       NHBS-        NHBS-                            NHBS-           NHBS-           NHBS-           NHBS-             NHBS-
MSM          IDU          HET                             MSM              IDU             HET            MSM                IDU

                                                                       MSM web          MSM web         MSM web            MSM web
                                                                      surveillance     surveillance    surveillance       surveillance

 MMP         MMP          MMP                             MMP             MMP             MMP

                                                    Clinic survey                      Clinic survey


  HIV         HIV         HIV                           HIV               HIV              HIV             HIV            HIV
 case        case        case                          case              case             case            case           case
surveill.   surveill.   surveill.                     surveill.         surveill.        surveill.       surveill.      surveill.

                                                                       MSM web          MSM web         MSM web          MSM web
                                                                      surveillance     surveillance    surveillance     surveillance

 MMP          MMP         MMP                             MMP             MMP              MMP

                                         Data Triangulation, Synthesis, and Analysis
ECHPP evaluation “firsts”
   First time CDC’s DHAP will:
     Use data from non-CDC-funded HIV prevention/care
      activities
     Use national surveillance and program data together
      to assess impact
     Strategize and develop protocols related to data
      sharing across federal agencies (to enhance national
      monitoring)
ECHPP evaluation “firsts”
   First time CDC’s DHAP will:
     Integrate and synthesize information gathered from a
      variety of data sources to make a broad statement
      about how/whether public health strategies are
      working in highest prevalence areas
     Use a systems-level approach to monitor/evaluate any
      HIV prevention programs
     Attempt to link HIV prevention programs to
      community-level outcomes to community-level impact
COLLABORATION WITH
STAKEHOLDERS
Working with health dept staff
   Created M & E Workgroup
   To learn about:
     Reporting capacity across health depts
     Context within which ECHPP reporting will occur
     How relationships between health dept staff and their
      partners could affect data collection/reporting
   To develop process indicators
   To get buy-in on overall evaluation design
Working with CDC staff outside program
              evaluation
   ECHPP evaluation team comprised of staff
    with experience in:
      Program evaluation        HIV testing
      Case and incidence        Data management and
      surveillance              analysis
      Behavioral and clinical   ECHPP program
      surveillance              implementation

   Regular input from senior managers
Working with federal partners
   Cross-agency Workgroup




   Data sharing
   Common metrics
   One ECHPP goal = Improve national-level
    coordination
RECENT MILESTONES
Recent Milestones
   Awarded contract to estimate extent and
    availability of data on HIV testing in U.S.
   Held two-day consultation on systems-level
    evaluation methods
Consultation
   Purpose
     Inform systems-level M & E of national HIV prevention
      programs and special initiatives
   Participants
     Evaluation experts from various program areas at CDC
     External consultants with expertise in evaluating large
      and complex public health programs
   Topics
     Real-world successes and challenges
     Indicator measurement, analytic strategies
     Confounds, covariates, contextual factors
Key Recommendations
   Identify important/potential covariates that
    should also be monitored
   Identify interconnected systems that could
    contribute to findings
   Determine how you will distinguish real-world
    uncertainty from sampling uncertainty
   Identify intermediate outcomes for
    interventions like policy changes that may
    take a long time to be realized
Key Recommendations
   Be creative with data collection methods
   Conduct longitudinal and case studies to allow
    attribution and better link process/outcome
    /impact
   Modeling, modeling, and more modeling
QUESTIONS AND DISCUSSION
For more information, please contact:

         Dr. Holly Fisher
         hfisher@cdc.gov
         404-639-1940

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Systems-level Monitoring and Evaluation of a Large-scale Combination HIV Prevention Initiative in 12 U.S. Cities

  • 1. Systems-level Monitoring and Evaluation of a Large-scale Combination HIV Prevention Initiative in 12 U.S. Cities Holly H. Fisher, Tamika Hoyte, Dale Stratford, and Gary Uhl 2011 National HIV Prevention Conference Atlanta, GA National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Division of HIV/AIDS Prevention
  • 3. Overview  ECHPP background and rationale  Monitoring and evaluation plan  Logic models  Analysis and reporting  Collaboration with stakeholders  Recent milestones  Questions and discussion
  • 5. National HIV/AIDS Strategy  July 2010- White House released National HIV/AIDS Strategy (NHAS) NHAS Goals:  Reduce new HIV infections  Increase linkage to care and overall health outcomes for persons living with HIV  Reduce HIV-related health disparities  Six federal agencies were asked to develop operational plans that describe how they will advance NHAS
  • 6. National HIV/AIDS Strategy  Dec. 2010- HHS operational plan1 is submitted  Described: • ongoing efforts to align existing activities with NHAS • new initiatives that support NHAS goals  HHS 12-Cities Project- accelerate comprehensive HIV/AIDS planning and cross-agency response in the 12 U.S. jurisdictions hardest hit by HIV/AIDS  CDC ’s Enhanced Comprehensive HIV Prevention Plan (ECHPP) is one of the major 12-Cities Project initiatives 1Department of Health and Human Services. HHS Operational Plan for National HIV/AIDS Strategy. Available at: http://aids.gov/federal-resources/policies/national-hiv-aids-strategy/nhas-operational-plan-hhs.pdf. Accessed April 26, 2011.
  • 7. * Enhanced Comprehensive HIV Prevention Plans (ECHPP) project
  • 8. ECHPP description  Three-year project (Sept. 2010 to Sept. 2013) implemented by health depts in 12 MSAs with highest AIDS burden  Project objectives  Develop an enhanced plan that aligns the jurisdiction’s prevention and care activities with NHAS  Identify/implement optimal combination of prevention, care, and treatment activities  Implement activities at appropriate scale  Increase targeting of highest risk groups
  • 9. Priority populations  African Americans/  People living with Blacks HIV/AIDS  Hispanics/Latinos  People at high risk  Injection drug users with negative or  High-risk unknown HIV status heterosexuals  Men who have sex with men
  • 11. Systems-level M & E  ECHPP is a systems approach to HIV prevention  Systems-level monitoring and evaluation…  Multiple levels  Broad assessment of entire entity, as well as some examination of individual components  Components of interest can vary widely  Breadth vs. depth trade-off  New frontier for DHAP evaluators
  • 12. Systems-level M & E  Scaled, combination prevention programs require:  Synthesis of multiple data and methods to arrive at overall picture of epidemic  Innovative, systems-level evaluation approach  An evaluation approach that’s flexible as programs may evolve, change over time  Must assess optimal combinations of HIV prevention and continuum of care activities  Triangulation of data, using mixed methods and data sources
  • 13. Process  Local process monitoring  Measures and objectives are locally-defined  Report to CDC site team for program improvement  Core process monitoring  Standardized measures across jurisdictions  Measures were developed in collaboration with grantees  Use of program data from other federal agency data sets
  • 14. Outcome  Analyze outcomes from clinical and behavioral surveillance data systems  Medical Monitoring Project (MMP)  National HIV Behavioral Surveillance (NHBS)  (New) MSM Web surveillance project  Collect additional outcome data via serial, cross-sectional surveys in six ECHPP cities  Two surveys • Clinic survey for HIV-diagnosed ppl in care (modeled after MMP) • Community survey for IDUs and high-risk heterosexuals (modeled after NHBS)
  • 15. Impact  Analyze impact data from HIV surveillance systems:  Case surveillance (eHARS)  Behavioral and clinical surveillance (MMP, MSM web surveillance)  Incidence surveillance  Will also look at long-term outcomes from clinical and behavioral surveillance systems to assess impact
  • 16. Monitoring & evaluation questions Program implementation Which services and programs were provided? Which populations were reached? Were ECHPP (local) objectives met? What were barriers and facilitators to implementation? (at program-, agency-, and community-level) Allocation of resources How was health dept funding allocated across ECHPP activities? How was the funding allocated across ECHPP priority populations?
  • 17. Monitoring & evaluation questions Outcomes among HIV-positive individuals: Was there a reduction in HIV risk behaviors? Was there an increase in service access and participation in HIV prevention activities? Was there an increase in positive health outcomes? Outcomes among high-risk, HIV-negative/HIV-unknown individuals: Was there a reduction in HIV risk behaviors? Was there an increase in service access and participation in HIV prevention activities?
  • 18. Monitoring & evaluation questions Impact among priority populations: Was there a reduction in HIV incidence or indicators of HIV risk? Was there an increase in linkage to, and impact of, prevention and care services for people living with HIV/AIDS? Was there a reduction in HIV-related health disparities?
  • 21. Analysis and reporting  Three-tiered approach that uses existing data systems, as well as new data collections  Triangulation across data sources  Health dept-reported program data  Program data obtained from other federal agencies  Population-based, self-report survey data  Population-based, surveillance data
  • 22. Analysis and reporting  Descriptive reporting to demonstrate progress toward local objectives, NHAS goals  Data synthesis and triangulation  Trend analysis  Statistical modeling to assess indicators over time  Thematic analysis of qualitative and contextual info
  • 23. ECHPP Evaluation Timeline Revised August 2011 Nov April Oct Oct Oct Oct Oct 2007-08 2009 2010 2011 2011 2012 2013 2014 2015 Data types: ECHPP ECHPP Planning Implementation Process (10-10181) (10-10181) ECHPP Implementation Outcome (11-1117) Impact CDC-funded Program Data ECHPP Process Data Collection Other Federal Agency Data (e.g., HRSA, SAMHSA, CMS) Supplemental data collection (6 cities) Community and Community and clinic surveys clinic surveys NHBS- NHBS- NHBS- NHBS- NHBS- NHBS- NHBS- NHBS- MSM IDU HET MSM IDU HET MSM IDU MSM web MSM web MSM web MSM web surveillance surveillance surveillance surveillance MMP MMP MMP MMP MMP MMP Clinic survey Clinic survey HIV HIV HIV HIV HIV HIV HIV HIV case case case case case case case case surveill. surveill. surveill. surveill. surveill. surveill. surveill. surveill. MSM web MSM web MSM web MSM web surveillance surveillance surveillance surveillance MMP MMP MMP MMP MMP MMP Data Triangulation, Synthesis, and Analysis
  • 24. ECHPP evaluation “firsts”  First time CDC’s DHAP will:  Use data from non-CDC-funded HIV prevention/care activities  Use national surveillance and program data together to assess impact  Strategize and develop protocols related to data sharing across federal agencies (to enhance national monitoring)
  • 25. ECHPP evaluation “firsts”  First time CDC’s DHAP will:  Integrate and synthesize information gathered from a variety of data sources to make a broad statement about how/whether public health strategies are working in highest prevalence areas  Use a systems-level approach to monitor/evaluate any HIV prevention programs  Attempt to link HIV prevention programs to community-level outcomes to community-level impact
  • 27. Working with health dept staff  Created M & E Workgroup  To learn about:  Reporting capacity across health depts  Context within which ECHPP reporting will occur  How relationships between health dept staff and their partners could affect data collection/reporting  To develop process indicators  To get buy-in on overall evaluation design
  • 28. Working with CDC staff outside program evaluation  ECHPP evaluation team comprised of staff with experience in: Program evaluation HIV testing Case and incidence Data management and surveillance analysis Behavioral and clinical ECHPP program surveillance implementation  Regular input from senior managers
  • 29. Working with federal partners  Cross-agency Workgroup  Data sharing  Common metrics  One ECHPP goal = Improve national-level coordination
  • 31. Recent Milestones  Awarded contract to estimate extent and availability of data on HIV testing in U.S.  Held two-day consultation on systems-level evaluation methods
  • 32. Consultation  Purpose  Inform systems-level M & E of national HIV prevention programs and special initiatives  Participants  Evaluation experts from various program areas at CDC  External consultants with expertise in evaluating large and complex public health programs  Topics  Real-world successes and challenges  Indicator measurement, analytic strategies  Confounds, covariates, contextual factors
  • 33. Key Recommendations  Identify important/potential covariates that should also be monitored  Identify interconnected systems that could contribute to findings  Determine how you will distinguish real-world uncertainty from sampling uncertainty  Identify intermediate outcomes for interventions like policy changes that may take a long time to be realized
  • 34. Key Recommendations  Be creative with data collection methods  Conduct longitudinal and case studies to allow attribution and better link process/outcome /impact  Modeling, modeling, and more modeling
  • 36. For more information, please contact: Dr. Holly Fisher hfisher@cdc.gov 404-639-1940