Evidence map›Paper›PMID 36637879›Full record

ArticlePopulation health management2023

Postpartum Medicaid Eligibility Expansions and Postpartum Health Measures.

Katlyn Hettinger, Claire Margerison

Abstract read
In one paragraph

Article in Population health management, 2023. 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.

Katlyn HettingerDepartment of Economics, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-0410-4304
Claire MargerisonDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.

Funding

Policy Change and Women's HealthR01HD095951 · NICHD · MICHIGAN STATE UNIVERSITY · PI MARGERISON, CLAIRE E · 2019 to 2023
$2.1M
NICHD NIH HHS R01 HD095951
6 · The paper itself

Abstract

Maternal mortality and morbidity in the United States are high compared with those in similar countries, and racial/ethnic disparities exist, with many of these events occurring in the later postpartum period. Proposed federal and recently enacted state policy interventions extend pregnancy Medicaid from covering 60 days to a full year postpartum. This study estimates the association between maintaining Medicaid eligibility in the later postpartum period (relative to only having pregnancy Medicaid eligibility) with postpartum checkup attendance and depressive symptoms using regression analysis, overall and stratified by race/ethnicity. People with postpartum Medicaid eligibility were 1.0%-1.4% more likely to attend a postpartum checkup relative to those with only pregnancy Medicaid eligibility overall, primarily driven by a 3.8%-4.0% higher likelihood among Hispanic postpartum people. Conversely, postpartum Medicaid is associated with a 2.2%-2.3% lower likelihood of postpartum checkup attendance for Black postpartum people. Postpartum eligibility is also associated with a 9.7%-11.6% lower likelihood of self-reported depressive symptoms compared with only pregnancy Medicaid eligibility for White postpartum people only. Postpartum Medicaid eligibility is associated with some improvements in maternal health care utilization and mental health, but differences by race and ethnicity imply that inequitable systems and structures that cannot be overcome by insurance alone may also play an important role in postpartum health.

Indexed as

EthnicityMedicaidFemaleHispanic or LatinoHumansPostpartum PeriodPregnancyUnited StatesWhite Peoplehealth policymaternal healthMedicaidmental healthpostpartum periodpreventive medicine

Identifiers

PMID36637879
PMCPMC9969880

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.