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USING
                     MICROSIMULATION TO
                     INFORM TARGETED
                     CARDIOVASCULAR
                     DISEASE PREVENTION
                     POLICY
                     STEVEN DEHMER, PHD
                     RESEARCH FELLOW, HEALTHPARTNERS RESEARCH
                     FOUNDATION

Monday, April 30th   HMORN 2012 Conference, Seattle WA
Presentation Outline

1) Brief Project Background

2) Description of the CVD Prevention Policy Model

3) Brief Description of Results
Project Background
Context:
 Need to identify priority areas for prevention (NCPP)
    1) Evidence driven
    2) Consistent and comparable
    3) Account for disparities and population-specific effects
Purpose:
a) Assess USPSTF recommended cardiovascular clinical
   services
b) Assess cardiovascular impacts of other clinical and
   community services
Project Background
Cardiovascular Clinical Preventive Services (USPSTF):
1) Screening for lipid disorders in adults
     Men (35+ or 20-35 at ↑ risk); Women (20+ at ↑ risk)


2) Hypertension screening for adults (18 and older)

3) Aspirin counseling for primary prevention of CVD
     Men ages 45-79 with increased risk from myocardial infarction
     Women ages 55-79 with increased risk from stroke
     Balance potential CVD benefits with gastrointestinal bleeding risks
CVD Prevention Policy Model
Design Overview:
   “Microsimulation” model: start with an individual and
    predict lifetime progression of health status and outcomes
   Simulations of many individuals can be aggregated to
    estimate population-wide impacts
   Interventions or counterfactuals tested as if in a randomized
    controlled trial (here: same people and all else held equal)
   Key benefit of complex design: sub-population effects for
    informing targeted policy
CVD Prevention Policy Model
Design Overview:
Demographic characteristics:
 Age 20 to 100
 Sex: Male, Female
 Race/ethnicity:
       Non-Hispanic white
       Non-Hispanic black/African American
       Hispanic/Mexican American
       “Other”

Health characteristics (change as an individual ages):
   Body mass index (BMI)
   Cholesterol: LDL, HDL
   Systolic blood pressure (SBP)
   Smoking status
   Disease status
CVD Prevention Policy Model
Design Overview:
Cardiovascular disease events:
   Myocardial infarction (MI)
   Ischemic stroke (IS)
   Hemorrhagic stroke (HS)
   Congestive heart failure (CHF)
   Angina pectoris (AP)
   Intermittent claudication (IC)

Related disease:
 Diabetes

Mortality:
 CVD related death
 Non-CVD death
CVD Prevention Policy Model
CVD Prevention Policy Model
             Model Initialization:
                NHANES (1999-2008)
                 • Sex
                 • Race/ethnicity
                 • HDL, LDL
                 • SBP
                BRFSS (2009)
                 • BMI
CVD Prevention Policy Model
             Eligibility for Prevention:
                USPSTF
                 Recommendations:
                 1) Lipid screening
                 2) BP screening
                 3) Aspirin counseling


                Delivery of untested
                 recommendations set at
                 contemporary rates
                 (NHANES, 1999-2008)
CVD Prevention Policy Model
             Eligibility for Treatment:
                Based on National
                 Clinical Guidelines:

                 •   ATP III for lipids

                 •   JNC-7 for hypertension

                 •   USPSTF for aspirin
CVD Prevention Policy Model
             Treatment Effects:
                Meta-analyses and
                 literature reviews (evidence
                 from major clinical trials)
                 •   Lipid treatment with statins
                     lowers LDL, raises HDL

                 •   Hypertension treatment
                     lowers SBP

                 •   Aspirin treatment lowers MI
                     risk in men, ischemic stroke
                     risk in men; raises HS and GI
                     bleeding risk in all
CVD Prevention Policy Model
             CVD Event Risk:
                Customized 1yr risk
                 equations estimated
                 using Framingham Heart
                 Study Data
                 •   Includes original and
                     offspring cohorts

                 •   About 10,000 people

                 •   Longitudinal design from
                     1950-2003

                 •   Mostly white
CVD Prevention Policy Model
             Risk of Death:
                CVD-death risk estimated
                 using Framingham Heart
                 Study data

                Death from other causes
                 estimated using life tables
                 (net of CVD mortality)
CVD Prevention Policy Model
             Progression of Risk Factors:
                Estimated using a two-step
                 process:
                 1) Determine if there is a
                    change
                 2) Determine size of change

                Cholesterol and BP
                 changes from Framingham
                 Heart Study data

                Changes in BMI from
                 BRFSS (2009)
CVD Prevention Policy Model
Costs:
1) Costs of disease
     First-year and ongoing costs estimated from MEPS
      (1999-2008)

2) Costs of screening/monitoring
     Clinic/lab fees from National Fee Analyzer (2005)

3) Costs of treatment
     Statin and antihypertensive treatment costs from
      Express Scripts Drug Trend Report (2010)
Simulation Results
Evaluation of USPSTF Recommendations :
Preliminary estimates (2012):
1) Screening for lipid disorders in adults
    C/E: $50,000 per QALY
    CPB: 650,000 QALYs

2) Hypertension screening for adults
    C/E: $65,000 per QALY
    CPB: 500,000 QALYs

3) Aspirin counseling for primary prevention of CVD
    C/E: $100 saved per person
    CPB: 150,000 QALYs
Simulation Results:
  Disparities
Hypertension Reference Case, No Screening, Rates per 100k
                  Total   Men     Women White       Black    Hispanic   Other
Myocardial
                  29,301 38,200   20,091   28,234   33,931    29,864    27,745
Infarction
Ischemic Stroke   18,247 17,292   19,235   17,838   20,388    18,370    17,188

Angina Pectoris   21,355 25,080   17,499   20,948   22,656    21,722    21,256
Congestive
                  29,381 29,404   29,357   27,684   35,004    30,892    28,656
Heart Failure
Intermittent
                  10,498 12,204    8,732   10,232   12,200    10,200    10,182
Claudication
CVD-related
                  38,055 42,758   33,187   37,293   41,653    38,167    37,133
Death
Life Expectancy   78.96   76.02    82.01   79.06    78.58     78.96     78.93
Conclusion




     Questions/Comments?

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Using Microsimulation to inform Targeted Cardiovascular Disease Prevention Policy DEHMER

  • 1. USING MICROSIMULATION TO INFORM TARGETED CARDIOVASCULAR DISEASE PREVENTION POLICY STEVEN DEHMER, PHD RESEARCH FELLOW, HEALTHPARTNERS RESEARCH FOUNDATION Monday, April 30th HMORN 2012 Conference, Seattle WA
  • 2. Presentation Outline 1) Brief Project Background 2) Description of the CVD Prevention Policy Model 3) Brief Description of Results
  • 3. Project Background Context:  Need to identify priority areas for prevention (NCPP) 1) Evidence driven 2) Consistent and comparable 3) Account for disparities and population-specific effects Purpose: a) Assess USPSTF recommended cardiovascular clinical services b) Assess cardiovascular impacts of other clinical and community services
  • 4. Project Background Cardiovascular Clinical Preventive Services (USPSTF): 1) Screening for lipid disorders in adults  Men (35+ or 20-35 at ↑ risk); Women (20+ at ↑ risk) 2) Hypertension screening for adults (18 and older) 3) Aspirin counseling for primary prevention of CVD  Men ages 45-79 with increased risk from myocardial infarction  Women ages 55-79 with increased risk from stroke  Balance potential CVD benefits with gastrointestinal bleeding risks
  • 5. CVD Prevention Policy Model Design Overview:  “Microsimulation” model: start with an individual and predict lifetime progression of health status and outcomes  Simulations of many individuals can be aggregated to estimate population-wide impacts  Interventions or counterfactuals tested as if in a randomized controlled trial (here: same people and all else held equal)  Key benefit of complex design: sub-population effects for informing targeted policy
  • 6. CVD Prevention Policy Model Design Overview: Demographic characteristics:  Age 20 to 100  Sex: Male, Female  Race/ethnicity:  Non-Hispanic white  Non-Hispanic black/African American  Hispanic/Mexican American  “Other” Health characteristics (change as an individual ages):  Body mass index (BMI)  Cholesterol: LDL, HDL  Systolic blood pressure (SBP)  Smoking status  Disease status
  • 7. CVD Prevention Policy Model Design Overview: Cardiovascular disease events:  Myocardial infarction (MI)  Ischemic stroke (IS)  Hemorrhagic stroke (HS)  Congestive heart failure (CHF)  Angina pectoris (AP)  Intermittent claudication (IC) Related disease:  Diabetes Mortality:  CVD related death  Non-CVD death
  • 9. CVD Prevention Policy Model Model Initialization:  NHANES (1999-2008) • Sex • Race/ethnicity • HDL, LDL • SBP  BRFSS (2009) • BMI
  • 10. CVD Prevention Policy Model Eligibility for Prevention:  USPSTF Recommendations: 1) Lipid screening 2) BP screening 3) Aspirin counseling  Delivery of untested recommendations set at contemporary rates (NHANES, 1999-2008)
  • 11. CVD Prevention Policy Model Eligibility for Treatment:  Based on National Clinical Guidelines: • ATP III for lipids • JNC-7 for hypertension • USPSTF for aspirin
  • 12. CVD Prevention Policy Model Treatment Effects:  Meta-analyses and literature reviews (evidence from major clinical trials) • Lipid treatment with statins lowers LDL, raises HDL • Hypertension treatment lowers SBP • Aspirin treatment lowers MI risk in men, ischemic stroke risk in men; raises HS and GI bleeding risk in all
  • 13. CVD Prevention Policy Model CVD Event Risk:  Customized 1yr risk equations estimated using Framingham Heart Study Data • Includes original and offspring cohorts • About 10,000 people • Longitudinal design from 1950-2003 • Mostly white
  • 14. CVD Prevention Policy Model Risk of Death:  CVD-death risk estimated using Framingham Heart Study data  Death from other causes estimated using life tables (net of CVD mortality)
  • 15. CVD Prevention Policy Model Progression of Risk Factors:  Estimated using a two-step process: 1) Determine if there is a change 2) Determine size of change  Cholesterol and BP changes from Framingham Heart Study data  Changes in BMI from BRFSS (2009)
  • 16. CVD Prevention Policy Model Costs: 1) Costs of disease  First-year and ongoing costs estimated from MEPS (1999-2008) 2) Costs of screening/monitoring  Clinic/lab fees from National Fee Analyzer (2005) 3) Costs of treatment  Statin and antihypertensive treatment costs from Express Scripts Drug Trend Report (2010)
  • 17. Simulation Results Evaluation of USPSTF Recommendations : Preliminary estimates (2012): 1) Screening for lipid disorders in adults  C/E: $50,000 per QALY  CPB: 650,000 QALYs 2) Hypertension screening for adults  C/E: $65,000 per QALY  CPB: 500,000 QALYs 3) Aspirin counseling for primary prevention of CVD  C/E: $100 saved per person  CPB: 150,000 QALYs
  • 18. Simulation Results: Disparities Hypertension Reference Case, No Screening, Rates per 100k Total Men Women White Black Hispanic Other Myocardial 29,301 38,200 20,091 28,234 33,931 29,864 27,745 Infarction Ischemic Stroke 18,247 17,292 19,235 17,838 20,388 18,370 17,188 Angina Pectoris 21,355 25,080 17,499 20,948 22,656 21,722 21,256 Congestive 29,381 29,404 29,357 27,684 35,004 30,892 28,656 Heart Failure Intermittent 10,498 12,204 8,732 10,232 12,200 10,200 10,182 Claudication CVD-related 38,055 42,758 33,187 37,293 41,653 38,167 37,133 Death Life Expectancy 78.96 76.02 82.01 79.06 78.58 78.96 78.93
  • 19. Conclusion Questions/Comments?