Evidence map›Paper›PMID 40019741›Full record

ArticleJAMA health forum2025

Racial and Ethnic Differences in Out-of-Pocket Spending for Maternity Care.

Rebecca A Gourevitch, Jessica L Cohen, Tara Shakley, Katie Camacho Orona, Sung Min Park, Mary Beth Landrum, Meredith B Rosenthal, Mark W Friedberg, Anna D Sinaiko

Abstract read
In one paragraph

Article in JAMA health forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

Rebecca A GourevitchDepartment of Health Policy and Management, University of Maryland, College Park.
Jessica L CohenDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Tara ShakleyBlue Cross Blue Shield of Massachusetts, Boston, Massachusetts.
Katie Camacho OronaDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Sung Min ParkBlue Cross Blue Shield of Massachusetts, Boston, Massachusetts.
Mary Beth LandrumDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Meredith B RosenthalDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Mark W FriedbergBlue Cross Blue Shield of Massachusetts, Boston, Massachusetts.
Anna D SinaikoDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Funding

Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
NICHD NIH HHS P2C HD041041
6 · The paper itself

Abstract

Importance: Rising out-of-pocket costs of maternal health care for people with commercial insurance may affect use of health care and outcomes. There are stark racial and ethnic disparities in outcomes, but little is known about differences in spending. Objective: To measure differences in out-of-pocket spending for maternity care by race and ethnicity. Design, Setting, and Participants: This retrospective cross-sectional study used administrative data from Blue Cross Blue Shield of Massachusetts from January 1, 2018, through December 31, 2022, for pregnancies, deliveries, and 42-day postpartum care. Participants were continuously enrolled during pregnancy, delivery, and 42 days post partum (collectively termed maternity episode). Exposures: The primary characteristic of interest was the birthing person's race and ethnicity. Main Outcomes and Measures: The primary outcome was total out-of-pocket spending during the maternity episode. Out-of-pocket spending was measured separately for the pregnancy period, prenatal services, and delivery, by type of cost sharing, and as a percentage of the median household income in the patient's census tract (using American Community Survey data). Race and ethnicity were measured via self-report and imputation. Results: The analytic sample included 87 253 maternity episodes among 76 826 unique birthing persons (mean [SD] age, 32.4 [4.7] years; 99.8% female) between 2018 and 2022; among maternity episodes, 8572 birthing persons (9.8%) were Asian, 3331 (3.8%) were Black, 6872 (7.9%) were Hispanic, and 68 478 (78.5%) were White. Mean out-of-pocket spending for the maternity episode was highest among Black birthing people ($2398 [$426]), followed by Hispanic ($2300 [$572]), Asian ($2202 [$603]), and White ($2036 [$1547]) birthing people (P < .001). These differences remained statistically significant after adjusting for health and demographic characteristics. The differences were largest in the prenatal period and for coinsurance payments. Black (1003 [30.1%]) and Hispanic (2302 [33.5%]) birthing people were more likely than Asian (1569 [18.3%]) and White (12 600 [18.4%]) birthing people to be enrolled in plans with high coinsurance, but not plans with high deductibles (3317 [38.7%] for Asian, 1232 [37.0%] for Black, 2350 [34.2%] for Hispanic, and 24 515 [35.8%] for White birthing people). Conclusions and Relevance: In this study, differences in out-of-pocket maternity spending among the commercially insured were associated with differences in coinsurance rates. These costs could lead people to forgo needed health care or other basic needs that support health (eg, food or housing). Changes to health plan benefit design could improve equity in out-of-pocket maternity spending and its consequences.

Indexed as

EthnicityHealthcare DisparitiesHealth ExpendituresMaternal Health ServicesRacial GroupsAdultAsianBlack or African AmericanCross-Sectional StudiesFemaleHispanic or LatinoHumansMassachusettsPregnancyRetrospective StudiesWhite

Identifiers

PMID40019741
PMCPMC11871542

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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.