Helping Mothers Select Better Childbirth Hospitals



Status:Not yet recruiting
Healthy:No
Age Range:18 - Any
Updated:2/8/2019
Start Date:March 2019
End Date:January 2020
Contact:Grace Galvin, MPH
Email:ggalvin@ariadnelabs.org
Phone:617-384-8366

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The investigators aim to conduct a randomized controlled trial of women who are pregnant or
considering pregnancy to understand whether women provided with specific data on
hospital-level cesarean delivery rates are more likely to select higher quality hospitals,
defined as hospitals with cesarean delivery rates below the Federal HealthyPeople 2020 target
of 23.9%.

The choice of a childbirth provider is one of the most consequential decisions a pregnant
woman makes. The hospital she delivers at is a better predictor of many treatment decisions
than her own risks or preferences. For example, choosing the wrong hospital can increase the
risk of cesarean delivery up to 10-fold. Cumulatively, avoidable cesarean deliveries are
estimated to cause 20,000 major surgical complications, $5 billion in spending, and
unmeasured pain each year in the United States.

The proposed project aims to prevent these harms by empowering women to choose hospitals with
risk-appropriate cesarean delivery rates. Preliminary research indicates that the majority of
women may not understand how hospital-level quality data applies to them personally. In a
test sample of 1,000 demographically diverse pregnant mothers, over half do not know if
hospital-level cesarean delivery rates are important, and the overwhelming majority do not
know if obstetrical infection rates, maternal or neonatal birth trauma rates, or hospital
quality metrics are important when selecting their hospital. The investigators will conduct a
randomized controlled trial of women using Ovia Health mobile applications to track their
fertility or pregnancy to understand whether women provided with location-specific cesarean
delivery rate data along with education about the importance of hospital-level cesarean
delivery rates are more likely to select higher quality hospitals than women provided with
education alone.

The study is labeled double blind, but the investigators recognize uncertainty on this
framework. Though subjects will be exposed to different information they do not know they
were in a trial. At the point that outcomes are collected, researchers will not know which
group the subject was randomized because outcomes are self-reported.

Inclusion Criteria:

- Ovia Fertility users that are trying to conceive and are not infertile or Ovia
Pregnancy users within the United States in their first trimester who have NOT chosen
a delivery hospital or provider.

Exclusion Criteria:

- People who do not use Ovia Health mobile applications, Ovia Pregnancy users beyond the
first trimester of their pregnancy, Ovia Fertility users that are not infertile (as
defined by women under 35 that have been trying for more than 12 months, and women
over 35 that have been trying for over 6 months) and Ovia Pregnancy/Fertility users
who have selected their delivering hospital or provider.
We found this trial at
1
site
25 Shattuck Street
Boston, Massachusetts 02115
Phone: 617-384-8366
?
mi
from
Boston, MA
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