Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, New York.
JAMA Netw Open. 2023 Dec 1;6(12):e2349457. doi: 10.1001/jamanetworkopen.2023.49457.
State Medicaid programs have recently implemented several policies to improve access to health care during the postpartum period. Understanding whether these policies are succeeding will require accurate measurement of postpartum visit use over time and across states; however, current estimates of use vary substantially between data sources.
To examine disagreement between postpartum visit use reported in the Pregnancy Risk Assessment Monitoring System (PRAMS) and Medicaid claims and assess whether insurance transitions from Medicaid at the time of childbirth to other insurance types after delivery are associated with the degree of disagreement.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted among individuals in South Carolina after delivery who had completed a PRAMS survey and for whom Medicaid was the payer of their delivery care. PRAMS responses from 2017 to 2020 were linked to inpatient, outpatient, and physician Medicaid claims; survey-weighted logistic regression models were then used to examine the association between postpartum insurance transitions and data source disagreement. Data were analyzed from February through October 2023.
Insurance transition type: continuous Medicaid, Medicaid to private insurance, Medicaid to no insurance, and Emergency Medicaid to no insurance.
Data source disagreement due to reporting a postpartum visit in PRAMS without a Medicaid claim for a visit or having a Medicaid claim for a visit without reporting a postpartum visit in PRAMS.
Among 836 PRAMS respondents enrolled in Medicaid at delivery (663 aged 20-34 years [82.9%]), a mean of 85.7% (95% CI, 82.1%-88.7%) reported a postpartum visit in PRAMS and a mean of 61.6% (95% CI, 56.9%-66.0%) had a Medicaid claim for a postpartum visit. Overall, 253 respondents (30.3%; 95% CI, 26.1%-34.7%) had data source disagreement: 230 individuals (27.2%; 95% CI, 23.2%-31.5%) had a visit in PRAMS without a Medicaid claim, and 23 individuals (3.1%; 95% CI, 1.8%-5.2%) had a Medicaid claim without a visit in PRAMS. Compared with individuals continuously enrolled in Medicaid, those who transitioned to private insurance after delivery and those who were uninsured after delivery and had Emergency Medicaid at delivery had an increase in the probability of data source agreement of 15.8 percentage points (95% CI, 2.6-29.1 percentage points) and 37.2 percentage points (95% CI, 19.6-54.8 percentage points), respectively.
This study's findings suggest that Medicaid claims may undercount postpartum visits among people who lose Medicaid or switch to private insurance after childbirth. Accounting for these insurance transitions may be associated with better claims-based estimates of postpartum care.
州医疗补助计划最近实施了几项政策,以改善产后期间的医疗保健获取。了解这些政策是否成功将需要随着时间的推移和各州之间准确衡量产后访问的使用情况;然而,目前使用的估计值在数据源之间存在很大差异。
检查妊娠风险评估监测系统 (PRAMS) 报告的产后访问使用情况与医疗补助索赔之间的差异,并评估分娩时从医疗补助转为其他保险类型的保险转换是否与差异程度相关。
设计、设置和参与者:这是一项横断面研究,在南卡罗来纳州分娩后完成 PRAMS 调查且医疗补助为分娩护理支付方的个人中进行。将 2017 年至 2020 年的 PRAMS 答复与住院、门诊和医生医疗补助索赔联系起来;然后使用调查加权逻辑回归模型来检查产后保险转换与数据源差异之间的关联。数据分析于 2023 年 2 月至 10 月进行。
保险转换类型:连续医疗补助、医疗补助转私人保险、医疗补助转无保险和紧急医疗补助转无保险。
由于在 PRAMS 中报告了产后访问而没有医疗补助访问索赔或由于医疗补助访问索赔而没有报告 PRAMS 中的产后访问而导致的数据来源差异。
在分娩时参加医疗补助的 836 名 PRAMS 受访者中(20-34 岁 663 人[82.9%]),平均 85.7%(95%CI,82.1%-88.7%)报告了产后访问,平均 61.6%(95%CI,56.9%-66.0%)有产后医疗补助索赔。总体而言,有 253 名受访者(30.3%;95%CI,26.1%-34.7%)存在数据源差异:230 名参与者(27.2%;95%CI,23.2%-31.5%)在 PRAMS 中有访问但没有医疗补助索赔,23 名参与者(3.1%;95%CI,1.8%-5.2%)有医疗补助索赔但没有 PRAMS 中的访问。与连续参加医疗补助的人相比,分娩后转为私人保险的人以及分娩后无保险且分娩时有紧急医疗补助的人,数据来源一致的概率分别增加了 15.8 个百分点(95%CI,2.6-29.1 个百分点)和 37.2 个百分点(95%CI,19.6-54.8 个百分点)。
本研究结果表明,医疗补助索赔可能低估了分娩后失去医疗补助或转为私人保险的人的产后访问量。考虑到这些保险转换可能与更好的基于索赔的产后护理估计相关。