Evidence map›Paper›PMID 30646327›Full record

ArticleJAMA network open2018

Association of Medicaid Healthy Behavior Incentive Programs With Smoking Cessation, Weight Loss, and Annual Preventive Health Visits.

Sarah W Huf, Kevin G Volpp, David A Asch, Elizabeth Bair, Atheendar Venkataramani

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  11. Engineering a mobile platform to promote sleep in the pediatric primary care setting.Sleep advances : a journal of the Sleep Research Society · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Sarah W HufDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, London, United Kingdom.
Kevin G VolppDivision of Health Care Policy, University of Pennsylvania, Philadelphia.
David A AschCenter for Health Care Innovation, Perelman Center for Advanced Medicine, Philadelphia, Pennsylvania.
Elizabeth BairDivision of Health Care Policy, University of Pennsylvania, Philadelphia.
Atheendar VenkataramaniDivision of Health Care Policy, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USCenter for Innovation · US

Funding

Microenterprise to Improve Child Development in Households Exposed to HIVK23MH106362 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI VENKATARAMANI, ATHEENDAR S. · 2015 to 2018
$738k
NIMH NIH HHS K23 MH106362
6 · The paper itself

Abstract

Importance: Several states have implemented Healthy Behavior Incentive Programs (HBIPs) in Medicaid through Section 1115 demonstration waivers. These programs use financial incentives to encourage positive behavior changes, such as greater use of preventive services, smoking cessation, and weight loss. Objective: To test for an association between the introduction of HBIPs and the rates of smoking cessation, weight loss, and annual preventive health visits in states that have adopted behavior-specific programs compared with states that have not. Design, Setting, and Participants: A cohort study using a difference-in-differences analysis of the 2011-2016 Behavioral Risk Factor Surveillance Survey Interview Results data, adjusting for demographic conditions, state unemployment rates, state Medicaid expansion, national secular trends, and time invariant state-specific factors, was conducted. Two sets of participants were considered: adults aged 18 to 64 years who had a reported annual household income of less than $25 000 (n = 442 089) or adults aged 18 to 64 years who had completed high school education or less (n = 676 883). Exposures: Changes in health behavior outcomes in 4 states (Florida, Indiana, Iowa, and Michigan) that implemented behavior-specific HBIPs targeting smoking, obesity, and annual health checkups through a Section 1115 waiver, against changes in control states, including Washington, DC, that did not introduce an HBIP (n = 44). Main Outcomes and Measures: Rate of smoking, obesity, and attendance at annual preventive health visits. Results: Of Behavioral Risk Factor Surveillance Service respondents used for the less than $25 000 annual household income cohort (n = 442 089), the mean (SD) age was 43.1 (0.8) years, and the mean (SD) percentage of women was 58.4% (2.5%). For the cohort of high school education or less (n = 676 883) population, the mean (SD) age was 41.6 (1.1) years, and the mean (SD) percentage of women was 46.6% (0.9%). During a 2-year period after implementation, there were no improvements in smoking and obesity in individuals with a household income of less than $25 000 (2.49 percentage points, 95% CI, 1.75-3.23 percentage points; P < .001 and -1.94 percentage points, 95% CI, -4.42 to 0.55 percentage points; P = .12, respectively) as well as in the population holding a high school education or less (1.74 percentage points, 95% CI, 0.64-2.85 percentage points; P = .003 and -0.73 percentage points, 95% CI, -1.84 to 0.38 percentage points; P = .19). An association was noted between an increase in preventive health visit rates among states adopting behavior-specific HBIPs relative to control states in the less than $25 000 household income population (3.89 percentage points, 95% CI, 2.64-5.14 percentage points; P < .001). However, these associations were substantively small and not robust across the high school education or less population (1.8 percentage points, 95% CI, -0.12 to 3.71 percentage points; P = .07). Conclusions and Relevance: Early postimplementation assessment may indicate that HBIPs were not associated with substantive improvements in incentivized healthy behaviors among populations likely to be Medicaid beneficiaries. The value, format, and timing of the incentive, complexity in delivery, and lack of awareness of incentives among target beneficiaries and clinicians may limit the usefulness of programs even over a longer follow-up period.

Indexed as

MedicaidAdolescentAdultAppointments and SchedulesCohort StudiesFemaleHealth BehaviorHealth PromotionHumansMaleMiddle AgedPatient Acceptance of Health CareSmoking CessationUnited StatesWeight LossYoung Adult

Identifiers

PMID30646327
PMCPMC6324555
OpenAlexW2907124972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.