Evidence map›Paper›PMID 36189124›Full record

ArticlePreventive medicine reports2022

Retrenchment of Wisconsin's Well Woman Program and changes in insurance coverage around the Affordable Care Act.

Mikaela M Becker, Mustafa Hussein

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. 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

2 authors.

Mikaela M BeckerJoseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Mustafa HusseinJoseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since before the Affordable Care Act (ACA), states have partnered with the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) to support access to cancer screening and treatment for uninsured/underinsured women. The Wisconsin Well Woman Program (WWWP) was one such program, supporting low-income women across the state. With ACA introduction, Wisconsin substantially downsized/restructured the WWWP, expecting the reduction in services to be offset by the rise in ACA-provided insurance coverage. This study assesses whether retrenchment in the WWWP following the ACA indeed prompted a differential rise in insurance coverage among the program's target population. We use a difference-in-differences (DID) design to contrast changes in county-level, target-population insurance rates, over 2008-2018, in Wisconsin counties previously most served by the WWWP vs those least served, adjusting for systematic differences across counties, including pre-policy trends. Pre-ACA (2011-2013), most-served counties had lower insurance rates by 2.5 percentage points (pp) than least-served counties; WWWP services likely compensated for some of that gap. In 2014-2015, along with WWWP's steep contraction, insurance rates rose sharply across all counties. Our primary DID analysis and event study suggest that WWWP contraction might have differentially driven more insurance take-up in most-served counties, by 1.88 pp [95 % Confidence Interval: 0.23,3.54], thus narrowing the pre-ACA gap. Sensitivity analyses suggest much smaller gains. Notwithstanding such potential insurance gains following program contraction, continued support for care navigation and coordination remain necessary to truly meet the needs of the vulnerable women previously served by the WWWP and similar programs across states.

Indexed as

Affordable care actBreast cancerCervical cancerHealth insuranceNBCCEDPWisconsin

Identifiers

PMID36189124
PMCPMC9519377

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.