Ontology highlight
ABSTRACT: Objectives
Despite public reporting of wide variation in hospital cesarean delivery rates, few women access this information when deciding where to deliver. We hypothesized that making cesarean delivery rate data more easily accessible and understandable would increase the likelihood of women selecting a hospital with a low cesarean delivery rate.Study design
We conducted a randomized controlled trial of 18,293 users of the Ovia Health mobile apps in 2016-2017. All enrollees were given an explanation of cesarean delivery rate data, and those randomized to the intervention group were also given an interactive tool that presented those data for the 10 closest hospitals with obstetric services. Our outcome measures were enrollees' self-reported delivery hospital and views on c
SUBMITTER: Gourevitch RA
PROVIDER: S-EPMC6456810 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature