Evidence map›Paper›PMID 30887426›Full record

ArticleJournal of racial and ethnic health disparities2019

Socioeconomic, Racial, and Ethnic Disparities in Postpartum Readmissions in Patients with Preeclampsia: a Multi-state Analysis, 2007-2014.

Jennifer L Wagner, Robert S White, Virginia Tangel, Soham Gupta, Jeremy S Pick

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Article in Journal of racial and ethnic health disparities, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jennifer L WagnerDepartment of Anesthesiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, 525 E 68th Street, New York, NY, 10021, USA.
Robert S WhiteDepartment of Anesthesiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, 525 E 68th Street, New York, NY, 10021, USA. rsw9006@nyp.org.
Virginia TangelDepartment of Anesthesiology, Weill Cornell Medicine Center for Perioperative Outcomes, 428 East 72nd Street, Suite 800A, New York, NY, 10021, USA.
Soham GuptaDepartment of Anesthesiology, Weill Cornell Medicine Center for Perioperative Outcomes, 428 East 72nd Street, Suite 800A, New York, NY, 10021, USA.
Jeremy S PickDepartment of Anesthesiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, 525 E 68th Street, New York, NY, 10021, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChildbirth is the most common reason for hospitalization for reproductive-aged women, with about 4 million annual deliveries nationally. Hypertension is the leading indication for postpartum readmission and therefore women with preeclampsia are at high risk for readmission. Social determinants of health are associated with increased readmission in postpartum patients; however, no study has specifically investigated readmissions in this higher risk group of patients. We sought to evaluate the effect of social determinants of health on postpartum readmissions in all postpartum patients and in a subgroup analysis of those with a diagnosis of preeclampsia.

methodsWe conducted a retrospective (2007-2014) analysis of all singleton deliveries in Florida, California, New York, and Maryland from the State Inpatient Databases, Healthcare Cost and Utilization Project. Primary outcomes were readmission at 30 days after delivery. Descriptive statistics were calculated, and multivariate regression analysis was used to estimate the adjusted odds ratio (OR) for readmissions. Subgroup analysis was performed on preeclampsia patients only. Statistical significance was evaluated at the < 0.05 alpha level.

resultsA total of 4,999,993 patients were included in our analysis. Among all postpartum patients and in subgroup analysis for preeclampsia patients only, readmission rates are higher for black patients, patients in the poorest quartile of median income, and patients with public insurance (Medicare or Medicaid).

conclusionsThe present study has shown that socioeconomic and racial/ethnic disparities exist in postpartum readmissions. These findings additionally exist among the already highest-risk preeclamptic patients. Future research should further elucidate this relationship and develop amelioration strategies.

Indexed as

AdolescentAdultBlack or African AmericanComorbidityDelivery, ObstetricEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansMedical AssistancePatient ReadmissionPostpartum PeriodPovertyPre-EclampsiaPregnancyAdministrative databaseHealthcare disparitiesOutcomes researchPreeclampsiaReadmissionSocioeconomic disparities

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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.