Evidence map›Paper›PMID 39110334›Full record

ArticleMaternal and child health journal2024

Postpartum Insurance Loss: Predicting Factors, Associations with Postpartum Health Service Utilization, and the Role of Medicaid Expansion.

Wondi Samuel Manalew, Melissa White, Jusung Lee, Nathan Hale

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Article in Maternal and child health journal, 2024. 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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5 · Who and what money

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4 authors.

Wondi Samuel ManalewDepartment of Health Services Management and Policy, Center for Applied Research and Evaluation in Women's Health, 42 Lamb Hall, PO Box 70264, Johnson City, TN, USA. manalew@etsu.edu.
Melissa WhiteDepartment of Health Services Management and Policy, Center for Applied Research and Evaluation in Women's Health, 42 Lamb Hall, PO Box 70264, Johnson City, TN, USA.
Jusung LeeCollege for Health, Community and Policy, University of Texas, San Antonio, San Antonio, TX, 78249, USA.
Nathan HaleDepartment of Health Services Management and Policy, Center for Applied Research and Evaluation in Women's Health, 42 Lamb Hall, PO Box 70264, Johnson City, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated the predictors of postpartum insurance loss (PPIL), assessed its association with postpartum healthcare receipt, and explored the potential buffering role of Medicaid expansion.

methodsData from the 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed, covering 197,820 individuals with live births. PPIL was determined via self-reported insurance status before and after pregnancy. Postpartum visits and depression screening served as key health service receipt indicators. The association between PPIL and maternal characteristics was examined using bivariate analysis. The association of PPIL with health service receipt was assessed through odds ratios derived from multivariate logistic regression models. The role of Medicaid expansion was explored by interacting ACA Medicaid expansion status with the dichotomous PPIL indicator.

resultsPPIL was experienced by 7.8% of postpartum people, with higher rates in Medicaid non-expansion states (13.6%) compared to 6.1% in expansion states (p < 0.05). Racial and ethnic disparities were observed, with 16.5% of Hispanic and 4.6% of white people experiencing PPIL. Individuals who experienced PPIL had decreased odds of attending postpartum visits (adjusted odds ratio (aOR) = 0.81, 95% CI = 0.73-0.90) and receiving screening for postpartum depression (aOR = 0.86, 95% CI = 0.78-0.96) compared to those who maintained insurance coverage. People in expansion states with no PPIL had higher odds of postpartum depression screening (aOR = 1.33, 95% CI = 1.08-1.62). No differences in postpartum visits in expansion versus non-expansion were noted (aOR = 1.13, 95% CI = 0.93-1.36). CONCLUSIONS FOR PRACTICE: Ensuring consistent postpartum insurance coverage offers policymakers a chance to enhance healthcare access and outcomes, particularly for vulnerable groups.

Indexed as

Insurance CoverageMedicaidPatient Acceptance of Health CarePostpartum PeriodAdultDepression, PostpartumFemaleHealth Services AccessibilityHumansInsurance, HealthMedically UninsuredPatient Protection and Affordable Care ActPostnatal CarePregnancyUnited StatesMedicaid ExpansionPostpartum Insurance LossPostpartum VisitsPRAMSScreening for Depression

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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.