Evidence map›Paper›PMID 28966926›Full record

ArticleFamily medicine and community health2016

A new role for primary care teams in the United States after "Obamacare:" Track and improve health insurance coverage rates.

Jennifer DeVoe, Heather Angier, Megan Hoopes, Rachel Gold

Abstract read
In one paragraph

Article in Family medicine and community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jennifer DeVoeOregon Health and Science University, Portland, OR, USA.
Heather AngierOregon Health and Science University, Portland, OR, USA.
Megan HoopesOCHIN, Inc, Portland, OR, USA.
Rachel GoldKaiser Permanente Center for Health Research Northwest Region, Portland, OR, USA.

Funding

Community-based HIT Tools for Cancer Screening and Health Insurance PromotionR01CA181452 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2014 to 2018
$3.1M
PREVENT-D: Post ACA Reform: Evaluate Community Health Center Care for DiabetesU18DP006116 · DP · OREGON HEALTH & SCIENCE UNIVERSITY · PI HUGUET, NATHALIE · 2015 to 2019
$2.2M
ACCESS: Assessing Community Cancer care after insurance ExpanSionSR01CA204267 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2016 to 2020
$2.0M
Post Affordable Care Act: Evaluation of Community Health Centers (PACE)R01HS024270 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2015 to 2016
$796k
ACL HHS U18DP006116AHRQ HHS R01 HS024270NCCDPHP CDC HHS U18 DP006116NCI NIH HHS R01 CA181452NCI NIH HHS R01 CA204267
6 · The paper itself

Abstract

Maintaining continuous health insurance coverage is important. With recent expansions in access to coverage in the United States after "Obamacare," primary care teams have a new role in helping to track and improve coverage rates and to provide outreach to patients. We describe efforts to longitudinally track health insurance rates using data from the electronic health record (EHR) of a primary care network and to use these data to support practice-based insurance outreach and assistance. Although we highlight a few examples from one network, we believe there is great potential for doing this type of work in a broad range of family medicine and community health clinics that provide continuity of care. By partnering with researchers through practice-based research networks and other similar collaboratives, primary care practices can greatly expand the use of EHR data and EHR-based tools targeting improvements in health insurance and quality health care.

Indexed as

Affordable Care Actelectronic health recordsInsurance, health

Identifiers

PMID28966926
PMCPMC5617364

What OpenQuestion holds

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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 OpenQuestion graph.