Evidence map›Paper›PMID 30889188›Full record

ArticlePLoS medicine2019

Cost-effectiveness of financial incentives for improving diet and health through Medicare and Medicaid: A microsimulation study.

Yujin Lee, Dariush Mozaffarian, Stephen Sy, Yue Huang, Junxiu Liu, Parke E Wilde, Shafika Abrahams-Gessel, Thiago de Souza Veiga Jardim, Thomas A Gaziano, Renata Micha

Abstract read
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Health Center-Based Community-Supported Agriculture: An RCT.American journal of preventive medicine · 2019
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yujin LeeFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0002-6948-2525
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0001-7958-9492
Stephen SyBrigham and Women's Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-8090-3768
Yue HuangFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0002-6642-7088
Junxiu LiuFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0003-3303-0217
Parke E WildeFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0002-9596-9230
Shafika Abrahams-GesselBrigham and Women's Hospital, Boston, Massachusetts, United States of America.
Thiago de Souza Veiga JardimBrigham and Women's Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0002-7750-2792
Thomas A GazianoBrigham and Women's Hospital, Boston, Massachusetts, United States of America.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.ORCID 0000-0002-3983-1632

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
NHLBI NIH HHS R01 HL115189NHLBI NIH HHS R01 HL130735
6 · The paper itself

Abstract

backgroundEconomic incentives through health insurance may promote healthier behaviors. Little is known about health and economic impacts of incentivizing diet, a leading risk factor for diabetes and cardiovascular disease (CVD), through Medicare and Medicaid. METHODS AND

findingsA validated microsimulation model (CVD-PREDICT) estimated CVD and diabetes cases prevented, quality-adjusted life years (QALYs), health-related costs (formal healthcare, informal healthcare, and lost-productivity costs), and incremental cost-effectiveness ratios (ICERs) of two policy scenarios for adults within Medicare and Medicaid, compared to a base case of no new intervention: (1) 30% subsidy on fruits and vegetables ("F&V incentive") and (2) 30% subsidy on broader healthful foods including F&V, whole grains, nuts/seeds, seafood, and plant oils ("healthy food incentive"). Inputs included national demographic and dietary data from the National Health and Nutrition Examination Survey (NHANES) 2009-2014, policy effects and diet-disease effects from meta-analyses, and policy and health-related costs from established sources. Overall, 82 million adults (35-80 years old) were on Medicare and/or Medicaid. The mean (SD) age was 68.1 (11.4) years, 56.2% were female, and 25.5% were non-whites. Health and cost impacts were simulated over the lifetime of current Medicare and Medicaid participants (average simulated years = 18.3 years). The F&V incentive was estimated to prevent 1.93 million CVD events, gain 4.64 million QALYs, and save $39.7 billion in formal healthcare costs. For the healthy food incentive, corresponding gains were 3.28 million CVD and 0.12 million diabetes cases prevented, 8.40 million QALYs gained, and $100.2 billion in formal healthcare costs saved, respectively. From a healthcare perspective, both scenarios were cost-effective at 5 years and beyond, with lifetime ICERs of $18,184/QALY (F&V incentive) and $13,194/QALY (healthy food incentive). From a societal perspective including informal healthcare costs and lost productivity, respective ICERs were $14,576/QALY and $9,497/QALY. Results were robust in probabilistic sensitivity analyses and a range of one-way sensitivity and subgroup analyses, including by different durations of the intervention (5, 10, and 20 years and lifetime), food subsidy levels (20%, 50%), insurance groups (Medicare, Medicaid, and dual-eligible), and beneficiary characteristics within each insurance group (age, race/ethnicity, education, income, and Supplemental Nutrition Assistant Program [SNAP] status). Simulation studies such as this one provide quantitative estimates of benefits and uncertainty but cannot directly prove health and economic impacts.

conclusionsEconomic incentives for healthier foods through Medicare and Medicaid could generate substantial health gains and be highly cost-effective.

Indexed as

MotivationAdultAgedAged, 80 and overCost-Benefit AnalysisDiet, HealthyFemaleHumansMaleMedicaidMedicareMiddle AgedNutrition SurveysRisk Reduction BehaviorUnited States

Identifiers

PMID30889188
PMCPMC6424388

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.