Evidence map›Paper›PMID 41359333›Full record

ArticleJAMA network open2025

Variations in Postpartum Readmission by Individual Race, Ethnicity, and Rurality in South Carolina.

Curisa M Tucker, Yunqing Ma, Jiajia Zhang, Md Utba Rashid, Jihong Liu, Berry Campbell, Xiaoming Li, Peiyin Hung

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Curisa M TuckerDepartment of Biobehavioral Health & Nursing Science, College of Nursing, University of South Carolina, Columbia.
Yunqing MaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
Jiajia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
Md Utba RashidDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
Jihong LiuDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
Berry CampbellObstetrics and Gynecology, School of Medicine Columbia, University of South Carolina, Columbia.
Xiaoming LiHealth Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia.
Peiyin HungDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.

Funding

Mitigating effects of telehealth uptake on disparities in maternal care access, quality, outcomes, and expenditures during the COVID-19 pandemicU01HD110062 · NICHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Peiyin Hung, Xiaoming Li · 2022 to 2026
$3.2M
NICHD NIH HHS U01 HD110062
6 · The paper itself

Abstract

Importance: Racial and ethnic disparities in postpartum readmission (PPR) remain a critical public health concern, with non-Hispanic Black individuals experiencing rates up to 3 times as high as non-Hispanic White individuals. PPR is often associated with mental health disorders (MHDs) and substance use disorders (SUDs), and barriers to care are particularly acute in rural communities. Objective: To investigate intersections in the associations of individual residential rurality and race and ethnicity with all-cause, MHD-, and SUD-related PPR throughout 1 year post partum. Design, Setting, and Participants: This statewide retrospective cohort study used data from birth certificates linked to all-payer hospital data for individuals 15 to 50 years of age who gave birth and were discharged from South Carolina hospitals between January 1, 2018, and December 31, 2021. Data analyses were completed August 17, 2025. Exposures: Individual race and ethnicity and individual residential location at time of birth. Main Outcomes and Measures: Cumulative incidence of all-cause, MHD-, and SUD-related PPR at 42, 90, 180, and 365 days post partum. Cox proportional hazards models estimated adjusted hazard ratios (AHRs) and 95% CIs for 1-year follow-up, adjusting for individual characteristics. Results: Of 190 645 births to 166 330 unique individuals (mean [SD] age, 28.2 [5.8] years; 4.9% Hispanic, 30.9% non-Hispanic Black, and 57.1% non-Hispanic White), the highest percentage (30.4%) included individuals between 25 and 29 years of age; 27 961 (14.7%) of births were to women residing in rural areas and 162 684 (85.3%) of births were to women residing in urban areas. Up to 1 year post partum, 4.7% of birthing individuals had all-cause PPR, 1.5% had MHD-related PPR, and 0.8% had SUD-related PPR. In adjusted models, non-Hispanic Black individuals had higher risk of all-cause PPR compared with non-Hispanic White individuals in urban areas (AHR, 1.38 [95% CI, 1.31-1.45]), whereas Hispanic individuals had lower risk (AHR, 0.83 [95% CI, 0.74-0.93]). Rural residence was associated with increased all-cause PPR risk overall (AHR, 1.15 [95% CI, 1.06-1.25]) but was also associated with reduced racial and ethnic disparities in all-cause PPR (interaction AHR, 0.86 [95% CI, 0.77-0.97] for non-Hispanic Black compared with non-Hispanic White, and interaction AHR, 0.55 [95% CI, 0.34-0.89] for Hispanic compared with non-Hispanic White). Similar patterns were observed for MHD- and SUD-related PPR, although rural interactions were not statistically significant. Conclusions and Relevance: In this cohort study of individuals giving birth in South Carolina, racial and ethnic disparities associated with PPR were pronounced among urban residents and attenuated in rural areas, suggesting that geographic context may modify these disparities.

Indexed as

EthnicityPatient ReadmissionPostpartum PeriodRacial GroupsRural PopulationAdolescentAdultBlack or African AmericanFemaleHispanic or LatinoHumansMental DisordersMiddle AgedPregnancyProportional Hazards ModelsRetrospective Studies

Identifiers

PMID41359333
PMCPMC12687097

What Socratic holds

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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 Socratic graph.