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自愿和欠费政策对减少私人保险和医疗补助参保者早期选择性分娩的影响。

The impact of voluntary and nonpayment policies in reducing early-term elective deliveries among privately insured and Medicaid enrollees.

机构信息

Department of Health Policy, Management, and Leadership, West Virginia University, Morgantown, West Virginia.

Department of Economics, West Virginia University, Morgantown, West Virginia.

出版信息

Health Serv Res. 2020 Feb;55(1):63-70. doi: 10.1111/1475-6773.13214. Epub 2019 Nov 10.

Abstract

OBJECTIVE

To assess the impact of a voluntary pledge policy and a mandatory nonpayment policy on reducing early-term elective deliveries among privately insured and Medicaid-enrolled individuals.

DATA SOURCES/STUDY SETTING: Birth certificate data from 2009 to 2015, from South Carolina and 16 control states.

STUDY DESIGN

We use a difference-in-differences approach to test the impact of two different policy types. Outcomes include the probability of an early elective delivery, gestation time, and birthweight.

PRINCIPAL FINDINGS

The voluntary pledge and mandatory nonpayment policy reduced overall EED rates from 13.1 to 11.4 (-12.7 percent, [P < .05]), and 10.9 ([-16.6 percent, P < .05]), respectively. Compared to the privately insured, we found greater relative decreases in Medicaid EED rate, the proportion of Medicaid births occurring before 39 weeks, and the proportion of Medicaid babies born with low birthweight.

CONCLUSIONS

Both voluntary and mandatory nonpayment policies are effective in reducing the rate of EEDs, especially among Medicaid enrollees. Given the high costs and poor outcomes associated with EEDs, policy makers may consider using either tool as a way to improve care value.

摘要

目的

评估自愿承诺政策和强制不付款政策对减少私人保险和医疗补助参保者早期选择性分娩的影响。

数据来源/研究范围:来自南卡罗来纳州和 16 个对照州的 2009 年至 2015 年的出生证明数据。

研究设计

我们使用差异中的差异方法来测试两种不同政策类型的影响。结果包括早期选择性分娩的概率、妊娠时间和出生体重。

主要发现

自愿承诺和强制不付款政策分别将总 EED 率从 13.1%降至 11.4%(-12.7%,P<0.05)和 10.9%(-16.6%,P<0.05)。与私人保险相比,我们发现医疗补助 EED 率、39 周前分娩的医疗补助分娩比例和低出生体重儿比例的相对下降幅度更大。

结论

自愿和强制不付款政策都能有效降低 EED 率,特别是在医疗补助参保者中。鉴于 EED 相关的高成本和不良后果,政策制定者可能会考虑使用这两种工具中的任何一种来提高护理价值。

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