Estimating the incidence of unintended births and pregnancies at the sub-state level to inform program design.

ABSTRACT:

Objectives

Unintended (mistimed or unwanted) pregnancies occur frequently in the United States and have negative effects. When designing prevention programs and intervention strategies for the provision of comprehensive birth control methods, it is necessary to identify (1) populations at high risk of unintended pregnancy, and (2) geographic areas with a concentration of need.

Methods

To estimate the proportion and incidence of unintended births and pregnancies for regions in Missouri, two machine-learning prediction models were developed using data from the National Survey of Family Growth and the Missouri Pregnancy Risk Assessment Monitoring System. Each model was applied to Missouri birth certificate data from 2014 to 2016 to estimate the number of unintended births and p

SUBMITTER: Kranker K 

PROVIDER: S-EPMC7561158 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature