Evidence map›Paper›PMID 26497264›Full record

Trial reportAmerican journal of preventive medicine2016

Receipt of Preventive Services After Oregon's Randomized Medicaid Experiment.

Miguel Marino, Steffani R Bailey, Rachel Gold, Megan J Hoopes, Jean P O'Malley, Nathalie Huguet, John Heintzman, Charles Gallia, K John McConnell, Jennifer E DeVoe

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Impact of Health Insurance Patterns on Chronic Health Conditions Among Older Patients.Journal of the American Board of Family Medicine : JABFM · 2023
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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.

Miguel MarinoDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon; Department of Public Health and Preventive Medicine, Division of Biostatistics, Oregon Health and Science University, Portland, Oregon. Electronic address: marinom@ohsu.edu.
Steffani R BaileyDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon.
Rachel GoldOCHIN, Inc., Portland, Oregon; Kaiser Permanente Northwest Center for Health Research, Portland, Oregon.
Megan J HoopesOCHIN, Inc., Portland, Oregon.
Jean P O'MalleyDepartment of Public Health and Preventive Medicine, Division of Biostatistics, Oregon Health and Science University, Portland, Oregon.
Nathalie HuguetDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon.
John HeintzmanDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon.
Charles GalliaOffice of Health Analytics, Oregon Health Authority, Salem, Oregon.
K John McConnellCenter for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health and Science University, Portland, Oregon.
Jennifer E DeVoeDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon; OCHIN, Inc., Portland, Oregon.

Funding

Assessing a Medicaid Randomized Insurance Experiment within Community ClinicsR01HL107647 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2011 to 2014
$2.8M
The Primary Care Medical Home and Preventive Service Use in Latino ImmigrantsK08HS021522 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2013 to 2016
$590k
AHRQ HHS K08 HS021522AHRQ HHS K08 HS021522-02NHLBI NIH HHS R01 HL107647NHLBI NIH HHS R01HL107647
6 · The paper itself

Abstract

introductionIt is predicted that gaining health insurance via the Affordable Care Act will result in increased rates of preventive health services receipt in the U.S., primarily based on self-reported findings from previous health insurance expansion studies. This study examined the long-term (36-month) impact of Oregon's 2008 randomized Medicaid expansion ("Oregon Experiment") on receipt of 12 preventive care services in community health centers using electronic health record data.

methodsDemographic data from adult (aged 19-64 years) Oregon Experiment participants were probabilistically matched to electronic health record data from 49 Oregon community health centers within the OCHIN community health information network (N=10,643). Intent-to-treat analyses compared receipt of preventive services over a 36-month (2008-2011) period among those randomly assigned to apply for Medicaid versus not assigned, and instrumental variable analyses estimated the effect of actually gaining Medicaid coverage on preventive services receipt (data collected in 2012-2014; analysis performed in 2014-2015).

resultsIntent-to-treat analyses revealed statistically significant differences between patients randomly assigned to apply for Medicaid (versus not assigned) for 8 of 12 assessed preventive services. In intent-to-treat analyses, Medicaid coverage significantly increased the odds of receipt of most preventive services (ORs ranging from 1.04 [95% CI=1.02, 1.06] for smoking assessment to 1.27 [95% CI=1.02, 1.57] for mammography).

conclusionsRates of preventive services receipt will likely increase as community health center patients gain insurance through Affordable Care Act expansions. Continued effort is needed to increase health insurance coverage in an effort to decrease health disparities in vulnerable populations.

Indexed as

AdultChronic DiseaseFemaleHumansIncomeMaleMedicaidMiddle AgedOregonPatient Protection and Affordable Care ActPreventive Health ServicesRacial GroupsUnited StatesYoung Adult

Identifiers

PMID26497264
PMCPMC4718854

What OpenQuestion holds

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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.