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Pregnancy health in POWERMOM participants living in rural versus urban zip codes

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. Barri...

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Autores principales: Radin, Jennifer M., Peters, Shaquille, Ariniello, Lauren, Wongvibulsin, Shannon, Galarnyk, Michael, Waalen, Jill, Steinhubl, Steven R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681139/
https://www.ncbi.nlm.nih.gov/pubmed/33244436
http://dx.doi.org/10.1017/cts.2020.33
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author Radin, Jennifer M.
Peters, Shaquille
Ariniello, Lauren
Wongvibulsin, Shannon
Galarnyk, Michael
Waalen, Jill
Steinhubl, Steven R.
author_facet Radin, Jennifer M.
Peters, Shaquille
Ariniello, Lauren
Wongvibulsin, Shannon
Galarnyk, Michael
Waalen, Jill
Steinhubl, Steven R.
author_sort Radin, Jennifer M.
collection PubMed
description 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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spelling pubmed-76811392020-11-25 Pregnancy health in POWERMOM participants living in rural versus urban zip codes Radin, Jennifer M. Peters, Shaquille Ariniello, Lauren Wongvibulsin, Shannon Galarnyk, Michael Waalen, Jill Steinhubl, Steven R. J Clin Transl Sci Research Article 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. Cambridge University Press 2020-04-06 /pmc/articles/PMC7681139/ /pubmed/33244436 http://dx.doi.org/10.1017/cts.2020.33 Text en © The Association for Clinical and Translational Science 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Radin, Jennifer M.
Peters, Shaquille
Ariniello, Lauren
Wongvibulsin, Shannon
Galarnyk, Michael
Waalen, Jill
Steinhubl, Steven R.
Pregnancy health in POWERMOM participants living in rural versus urban zip codes
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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681139/
https://www.ncbi.nlm.nih.gov/pubmed/33244436
http://dx.doi.org/10.1017/cts.2020.33
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