The impact of voluntary and nonpayment policies in reducing early-term elective deliveries among privately insured and Medicaid enrollees.
Ontology highlight
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.
SUBMITTER: Allen L
PROVIDER: S-EPMC6980963 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
The impact of voluntary and nonpayment policies in reducing early-term elective deliveries among privately insured and Medicaid enrollees.
Allen Lindsay L Grossman Daniel D
Health services research 20191110 1
<h4>Objective</h4>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.<h4>Data sources/study setting</h4>Birth certificate data from 2009 to 2015, from South Carolina and 16 control states.<h4>Study design</h4>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, ...[more]
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