Evidence map›Paper›PMID 37847273›Full record

Trial reportJAMA2023

Effects of the Million Hearts Model on Myocardial Infarctions, Strokes, and Medicare Spending: A Randomized Clinical Trial.

Laura Blue, Keith Kranker, Amanda R Markovitz, Rhea E Powell, Malcolm V Williams, Jia Pu, David J Magid, Nancy McCall, Allison Steiner, Kate A Stewart and 3 more

Registry-linked trialOpen access · greenAbstract readMulticenter StudyRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04047147 (Evaluation of the Million Hearts CVD Risk Reduction Model), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04047147 unknown statusnot on this map

Evaluation of the Million Hearts CVD Risk Reduction Model

TypeobservationalSponsorMathematica Policy Research, Inc.Ran2017 to 2022Enrolled210,000ConditionsCardiovascular DiseasesArmsEnrollment in the Million Hearts CVD Risk Reduction Model, Enrollment in control provider organizations
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Risk scoring for the primary prevention of cardiovascular disease.The Cochrane database of systematic reviews · 2026
    Article
  4. Article
  5. Review
  6. [INVADE: a real-life primary care long-term intervention program for brain health - results from 2013 to 2020].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Laura BlueMathematica, Washington, DC.
Keith KrankerMathematica, Washington, DC.
Amanda R MarkovitzMathematica, Cambridge, Massachusetts.
Rhea E PowellDepartment of Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania.
Malcolm V WilliamsRAND Corporation, Santa Monica, California.
Jia PuMathematica, Oakland, California.
David J MagidUniversity of Colorado School of Medicine, Denver.
Nancy McCallMathematica, Washington, DC.
Allison SteinerMathematica, Cambridge, Massachusetts.
Kate A StewartMathematica, Chicago, Illinois.
Julia M RollisonRAND Corporation, Arlington, Virginia.
Patricia MarkovichCenter for Medicare and Medicaid Innovation, Centers for Medicare & Medicaid Services, Baltimore, Maryland.
G Greg PetersonMathematica, Washington, DC.
Mathematica Policy Research · USRAND Corporation · USCenters for Medicare and Medicaid Services · USThomas Jefferson University · USUniversity of Colorado Denver · US

Funding

Personalized Patient data and behavioral nudges to improve adherence to chronic cardiovascular medicationsUH3HL144163 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ALLEN, LARRY ALEXANDER, BULL, SHEANA S · 2019 to 2022
$5.7M
Effect of Hospital-Cardiologist Integration on Clinical Practice, Healthcare Quality, and Medicare SpendingR01HL153154 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI MOGHTADERI, ALI · 2020 to 2024
$3.3M
NHLBI NIH HHS R01 HL153154NHLBI NIH HHS UH3 HL144163
6 · The paper itself

Abstract

Importance: The Million Hearts Model paid health care organizations to assess and reduce cardiovascular disease (CVD) risk. Model effects on long-term outcomes are unknown. Objective: To estimate model effects on first-time myocardial infarctions (MIs) and strokes and Medicare spending over a period up to 5 years. Design, Setting, and Participants: This pragmatic cluster-randomized trial ran from 2017 to 2021, with organizations assigned to a model intervention group or standard care control group. Randomized organizations included 516 US-based primary care and specialty practices, health centers, and hospital-based outpatient clinics participating voluntarily. Of these organizations, 342 entered patients into the study population, which included Medicare fee-for-service beneficiaries aged 40 to 79 years with no previous MI or stroke and with high or medium CVD risk (a 10-year predicted probability of MI or stroke [ie, CVD risk score] ≥15%) in 2017-2018. Intervention: Organizations agreed to perform guideline-concordant care, including routine CVD risk assessment and cardiovascular care management for high-risk patients. The Centers for Medicare & Medicaid Services paid organizations to calculate CVD risk scores for Medicare fee-for-service beneficiaries. CMS further rewarded organizations for reducing risk among high-risk beneficiaries (CVD risk score ≥30%). Main Outcomes and Measures: Outcomes included first-time CVD events (MIs, strokes, and transient ischemic attacks) identified in Medicare claims, combined first-time CVD events from claims and CVD deaths (coronary heart disease or cerebrovascular disease deaths) identified using the National Death Index, and Medicare Parts A and B spending for CVD events and overall. Outcomes were measured through 2021. 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 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. Trial Registration: ClinicalTrials.gov Identifier: NCT04047147.

Indexed as

MedicareModels, CardiovascularMyocardial InfarctionStrokeAdultAgedFee-for-Service PlansFemaleHealth ExpendituresHumansMaleMiddle AgedPatient CareRisk AssessmentUnited States

Identifiers

PMID37847273
PMCPMC10582785
OpenAlexW4387692734

What OpenQuestion holds

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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.