Department 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.
East Tennessee State University, Johnson City, TN, 37614, USA.
Matern Child Health J. 2024 Oct;28(10):1782-1792. doi: 10.1007/s10995-024-03979-3. Epub 2024 Aug 7.
This 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.
Data 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.
PPIL 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).
Ensuring consistent postpartum insurance coverage offers policymakers a chance to enhance healthcare access and outcomes, particularly for vulnerable groups.
本研究旨在探究产后保险损失(PPIL)的预测因素,评估其与产后医疗保健服务利用的关系,并探讨医疗补助扩张的潜在缓冲作用。
对 2016-2020 年妊娠风险评估监测系统(PRAMS)的数据进行了分析,涵盖了 197820 名活产妇女。通过自我报告的妊娠前后保险状况来确定 PPIL。产后访视和抑郁筛查是关键的卫生服务利用指标。采用双变量分析方法探讨 PPIL 与产妇特征的关系。通过多变量逻辑回归模型得出的比值比评估 PPIL 与卫生服务利用的关系。通过将 ACA 医疗补助扩张状态与二分类的 PPIL 指标进行交互作用,探讨医疗补助扩张的作用。
7.8%的产后妇女经历了 PPIL,在非扩张州(13.6%)的发生率高于扩张州(6.1%)(p<0.05)。存在种族和民族差异,16.5%的西班牙裔和 4.6%的白人经历了 PPIL。与保持保险覆盖的人相比,经历 PPIL 的人接受产后访视(调整后的比值比(aOR)=0.81,95%置信区间(CI)=0.73-0.90)和产后抑郁筛查(aOR=0.86,95%CI=0.78-0.96)的可能性降低。在扩张州且无 PPIL 的人接受产后抑郁筛查的可能性更高(aOR=1.33,95%CI=1.08-1.62)。在扩张州与非扩张州之间,产后访视没有差异(aOR=1.13,95%CI=0.93-1.36)。
确保产后保险的持续覆盖为政策制定者提供了一个机会,可以改善医疗保健的可及性和结果,特别是对弱势群体而言。