Pregnancy health in POWERMOM participants living in rural versus urban zip codes
Abstract Background: Pregnant women living in rural locations in the USA have higher rates of maternal and infant mortality compared to their urban counterparts. One factor contributing to this disparity may be lack of representation of rural women in traditional clinical research studies of pregn...
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Format: | Article |
Language: | English |
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Cambridge University Press
2020-10-01
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Series: | Journal of Clinical and Translational Science |
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Online Access: | https://www.cambridge.org/core/product/identifier/S2059866120000333/type/journal_article |
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author | Jennifer M. Radin Shaquille Peters Lauren Ariniello Shannon Wongvibulsin Michael Galarnyk Jill Waalen Steven R. Steinhubl |
author_facet | Jennifer M. Radin Shaquille Peters Lauren Ariniello Shannon Wongvibulsin Michael Galarnyk Jill Waalen Steven R. Steinhubl |
author_sort | Jennifer M. Radin |
collection | DOAJ |
description |
Abstract
Background:
Pregnant women living in rural locations in the USA have higher rates of maternal and infant mortality compared to their urban counterparts. One factor contributing to this disparity may be lack of representation of rural women in traditional clinical research studies of pregnancy. Barriers to participation often include transportation to research facilities, which are typically located in urban centers, childcare, and inability to participate during nonwork hours.
Methods:
POWERMOM is a digital research app which allows participants to share both survey and sensor data during their pregnancy. Through non-targeted, national outreach a study population of 3612 participants (591 from rural zip codes and 3021 from urban zip codes) have been enrolled so far in the study, beginning on March 16, 2017, through September 20, 2019.
Results:
On average rural participants in our study were younger, had higher pre-pregnancy weights, were less racially diverse, and were more likely to plan a home birth compared to the urban participants. Both groups showed similar engagement in terms of week of pregnancy when they joined, percentage of surveys completed, and completion of the outcome survey after they delivered their baby. However, rural participants shared less HealthKit or sensor data compared to urban participants.
Discussion:
Our study demonstrated the feasibility and effectiveness of enrolling pregnant women living in rural zip codes using a digital research study embedded within a popular pregnancy app. Future efforts to conduct remote digital research studies could help fill representation and knowledge gaps related to pregnant women.
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first_indexed | 2024-04-10T04:54:50Z |
format | Article |
id | doaj.art-8f0e9706cf2648aaa7d0c89368d0ab0a |
institution | Directory Open Access Journal |
issn | 2059-8661 |
language | English |
last_indexed | 2024-04-10T04:54:50Z |
publishDate | 2020-10-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Journal of Clinical and Translational Science |
spelling | doaj.art-8f0e9706cf2648aaa7d0c89368d0ab0a2023-03-09T12:30:22ZengCambridge University PressJournal of Clinical and Translational Science2059-86612020-10-01445746210.1017/cts.2020.33Pregnancy health in POWERMOM participants living in rural versus urban zip codesJennifer M. Radin0Shaquille Peters1Lauren Ariniello2Shannon Wongvibulsin3Michael Galarnyk4Jill Waalen5Steven R. Steinhubl6Scripps Research Translational Institute, La Jolla, CA, USAScripps Research Translational Institute, La Jolla, CA, USAScripps Research Translational Institute, La Jolla, CA, USAJohns Hopkins University School of Medicine, Baltimore, MD, USAScripps Research Translational Institute, La Jolla, CA, USAScripps Research Translational Institute, La Jolla, CA, USAScripps Research Translational Institute, La Jolla, CA, USA Abstract Background: Pregnant women living in rural locations in the USA have higher rates of maternal and infant mortality compared to their urban counterparts. One factor contributing to this disparity may be lack of representation of rural women in traditional clinical research studies of pregnancy. Barriers to participation often include transportation to research facilities, which are typically located in urban centers, childcare, and inability to participate during nonwork hours. Methods: POWERMOM is a digital research app which allows participants to share both survey and sensor data during their pregnancy. Through non-targeted, national outreach a study population of 3612 participants (591 from rural zip codes and 3021 from urban zip codes) have been enrolled so far in the study, beginning on March 16, 2017, through September 20, 2019. Results: On average rural participants in our study were younger, had higher pre-pregnancy weights, were less racially diverse, and were more likely to plan a home birth compared to the urban participants. Both groups showed similar engagement in terms of week of pregnancy when they joined, percentage of surveys completed, and completion of the outcome survey after they delivered their baby. However, rural participants shared less HealthKit or sensor data compared to urban participants. Discussion: Our study demonstrated the feasibility and effectiveness of enrolling pregnant women living in rural zip codes using a digital research study embedded within a popular pregnancy app. Future efforts to conduct remote digital research studies could help fill representation and knowledge gaps related to pregnant women. https://www.cambridge.org/core/product/identifier/S2059866120000333/type/journal_articleRuralurbanmaternitydigital healthapplication |
spellingShingle | Jennifer M. Radin Shaquille Peters Lauren Ariniello Shannon Wongvibulsin Michael Galarnyk Jill Waalen Steven R. Steinhubl Pregnancy health in POWERMOM participants living in rural versus urban zip codes Journal of Clinical and Translational Science Rural urban maternity digital health application |
title | Pregnancy health in POWERMOM participants living in rural versus urban zip codes |
title_full | Pregnancy health in POWERMOM participants living in rural versus urban zip codes |
title_fullStr | Pregnancy health in POWERMOM participants living in rural versus urban zip codes |
title_full_unstemmed | Pregnancy health in POWERMOM participants living in rural versus urban zip codes |
title_short | Pregnancy health in POWERMOM participants living in rural versus urban zip codes |
title_sort | pregnancy health in powermom participants living in rural versus urban zip codes |
topic | Rural urban maternity digital health application |
url | https://www.cambridge.org/core/product/identifier/S2059866120000333/type/journal_article |
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