Relevant Excerpts from the Study Abstract:

RESULTS:  High- and medium-risk model intervention beneficiaries (n = 130 578) and standard care control beneficiaries (n = 88 286) were similar in age (median age, 72-73 y), sex (58%-59% men), race (7%-8% Black), and baseline CVD risk score (median, 24%). The probability of a first-time CVD [cardiovascular disease] event within 5 years was 0.3 percentage points lower for intervention beneficiaries than control beneficiaries (3.3% relative effect; adjusted hazard ratio [HR], 0.97 [90% CI, 0.93-1.00]; P = .09). The 5-year probability of combined first-time CVD events and CVD deaths was 0.4 percentage points lower in the intervention group (4.2% relative effect; HR, 0.96 [90% CI, 0.93-0.99]; P = .02). Medicare spending for CVD events was similar between the groups (effect estimate, −$1.83 per beneficiary per month [90% CI, −$3.97 to −$0.30]; P = .16), as was overall Medicare spending including model payments (effect estimate, $2.11 per beneficiary per month [90% CI, −$16.66 to $20.89]; P = .85).

CONCLUSIONS AND RELEVANCE: The Million Hearts Model, which encouraged and paid for CVD risk assessment and reduction, reduced first-time MIs and strokes. Results support guidelines to use risk scores for CVD primary prevention.

Full Study Report

RESULTS:  High- and medium-risk model intervention beneficiaries (n = 130 578) and standard care control beneficiaries (n = 88 286) were similar in age (median age, 72-73 y), sex (58%-59% men), race (7%-8% Black), and baseline CVD risk score (median, 24%).  There were no statistically significant differences between intervention beneficiaries and control beneficiaries on any of the five primary outcomes. A near-significant trend favored the intervention group on one of the outcomes:  Among high and medium risk beneficiaries, the probability of a first-time CVD [cardiovascular disease] event within 5 years was 0.3 percentage points lower for intervention beneficiaries than control beneficiaries (3.3% relative effect; adjusted hazard ratio [HR], 0.97 [90% CI, 0.93-1.00]; P = .09).  In a post-hoc exploratory analysis,  the 5-year probability of combined first-time CVD events and CVD deaths was 0.4 percentage points lower in the intervention group (4.2% relative effect; HR, 0.96 [90% CI, 0.93-0.99]; P = .02). Medicare spending for CVD events was similar between the groups (effect estimate, −$1.83 per beneficiary per month [90% CI, −$3.97 to −$0.30]; P = .16), as was overall Medicare spending including model payments (effect estimate, $2.11 per beneficiary per month [90% CI, −$16.66 to $20.89]; P = .85).

CONCLUSIONS AND RELEVANCE: The Million Hearts Model, which encouraged and paid for CVD risk assessment and reduction,  did not produce detectable improvements in the primary targeted health and healthcare cost outcomes.  reduced first-time MIs and strokes. Results support guidelines to use risk scores for CVD primary prevention.

No-Spin’s Study Overview

Generally well-conducted RCT of Million Hearts, a federally-sponsored, nationwide pay-for-performance model designed to prevent heart attacks and strokes and reduce healthcare spending among Medicare patients, finds no statistically significant effects on the primary health or cost outcomes at the 4-5 year follow up.

Program:

  • Per the 2022 program report: “In 2017, the Centers for Medicare & Medicaid Services (CMS) launched the Million Hearts® Cardiovascular Disease (CVD) Risk Reduction Model. In this pay-for-prevention model, CMS pays participating [healthcare provider] organizations (1) for assessing each of their eligible Medicare fee-for-service (FFS) beneficiary’s risk of having a heart attack or stroke over the next 10 years and (2) for reducing CVD risk among high-risk beneficiaries.”
  • “The goal of the model is to reduce the incidence of first-time heart attacks and strokes among Medicare FFS beneficiaries and to reduce Medicare spending enough to fully offset model payments.”

Study Design:

  • The study randomly assigned 516 organizations across the US (primary care and specialty practices, health centers, and hospital outpatient departments) to a treatment group that implemented the Million Hearts Model versus a control group that continued usual care. Over two years, these organizations enrolled a sample of 218,864 patients who were at high or medium CVD risk.
  • Over the five-year project, CMS made $7.2 million in pay-for-performance payments to treatment group organizations as part of the study.
  • Based on our review criteria, the study was generally well conducted.

Findings:

  • The study found no statistically significant effects on any of its five reported primary outcomes at the 4-5 year follow-up. (The primary outcomes were prespecified here (p. 6) and here). Specifically, the study found no significant effects on:
    • The rate of first-time heart attacks and strokes among high-risk patients (the rates were 10.6% in the treatment group versus 10.7% in the control group, p=0.63).
    • The rate of first-time heart attacks and strokes among high- and medium risk patients, although a near-significant trend favored the treatment group (7.8% treatment versus 8.1% control, p=0.09).
    • Average CVD-related Medicare spending per month among high-risk-patients ($51 treatment vs. $54 control, p=0.23).
    • Average CVD-related Medicare spending per month among high- and medium-risk patients ($38 treatment vs. $39 control, p=0.16).
    • Average Medicare Part A and B spending per month among high- and medium-risk patients, not including Model payments ($959 treatment versus $958 control, p=0.94).

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