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Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial

BACKGROUND: Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whethe...

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Autores principales: Mehrotra, Ateev, Wolfberg, Adam, Shah, Neel T., Plough, Avery, Weiseth, Amber, Blaine, Arianna I., Noddin, Katie, Nakamoto, Carter H., Richard, Jessica V., Bradley, Dani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549827/
https://www.ncbi.nlm.nih.gov/pubmed/36217115
http://dx.doi.org/10.1186/s12884-022-05087-y
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author Mehrotra, Ateev
Wolfberg, Adam
Shah, Neel T.
Plough, Avery
Weiseth, Amber
Blaine, Arianna I.
Noddin, Katie
Nakamoto, Carter H.
Richard, Jessica V.
Bradley, Dani
author_facet Mehrotra, Ateev
Wolfberg, Adam
Shah, Neel T.
Plough, Avery
Weiseth, Amber
Blaine, Arianna I.
Noddin, Katie
Nakamoto, Carter H.
Richard, Jessica V.
Bradley, Dani
author_sort Mehrotra, Ateev
collection PubMed
description BACKGROUND: Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whether making cesarean rate data more accessible and understandable increases the likelihood of pregnant people selecting low-cesarean rate hospitals. METHODS: We conducted a 1:1 randomized controlled trial in 2019–2021 among users of a fertility and pregnancy mobile application. Eligible participants were trying to conceive for fewer than five months or were 28–104 days into their pregnancies. Of 189,456 participants approached and enrolled, 120,621 participants met entry criteria and were included in analyses. The intervention group was offered an educational program explaining the importance of hospital cesarean rates and an interactive tool presenting hospital cesarean rates as 1-to-5-star ratings. Control group users were offered an educational program about hospital choice and a hospital choice tool without cesarean rate data. The primary outcome was the star rating of the hospital selected by each patient during pregnancy. Secondary outcomes were the importance of cesarean rates in choosing a hospital and delivery method (post-hoc secondary outcome). RESULTS: Of 120,621 participants (mean [SD] age, 27.8 [7.9]), 12,284 (10.2%) reported their choice of hospital during pregnancy, with similar reporting rates in the intervention and control groups. Intervention group participants selected hospitals with higher star ratings (2.52 vs 2.16; difference, 0.37 [95% CI, 0.32 to 0.43] p < 0.001) and were more likely to believe that the hospitals they chose would impact their chances of having cesarean deliveries (38.5% vs 33.1%, p < 0.001) but did not assign higher priority to cesarean delivery rates when choosing their hospitals (76.2% vs 74.3%, p = 0.05). There was no difference in self-reported cesarean rates between the intervention and control groups (31.4% vs 31.4%, p = 0.98). CONCLUSION: People offered an educational program and interactive tool to compare hospital cesarean rates were more likely to use cesarean data in selecting a hospital and selected hospitals with lower cesarean rates but were not less likely to have a cesarean. CLINICAL TRIAL REGISTRATION: Registered December 9, 2016 at clinicaltrials.gov, First enrollment November 2019. ID NCT02987803, https://clinicaltrials.gov/ct2/show/NCT02987803 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05087-y.
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spelling pubmed-95498272022-10-11 Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial Mehrotra, Ateev Wolfberg, Adam Shah, Neel T. Plough, Avery Weiseth, Amber Blaine, Arianna I. Noddin, Katie Nakamoto, Carter H. Richard, Jessica V. Bradley, Dani BMC Pregnancy Childbirth Research BACKGROUND: Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whether making cesarean rate data more accessible and understandable increases the likelihood of pregnant people selecting low-cesarean rate hospitals. METHODS: We conducted a 1:1 randomized controlled trial in 2019–2021 among users of a fertility and pregnancy mobile application. Eligible participants were trying to conceive for fewer than five months or were 28–104 days into their pregnancies. Of 189,456 participants approached and enrolled, 120,621 participants met entry criteria and were included in analyses. The intervention group was offered an educational program explaining the importance of hospital cesarean rates and an interactive tool presenting hospital cesarean rates as 1-to-5-star ratings. Control group users were offered an educational program about hospital choice and a hospital choice tool without cesarean rate data. The primary outcome was the star rating of the hospital selected by each patient during pregnancy. Secondary outcomes were the importance of cesarean rates in choosing a hospital and delivery method (post-hoc secondary outcome). RESULTS: Of 120,621 participants (mean [SD] age, 27.8 [7.9]), 12,284 (10.2%) reported their choice of hospital during pregnancy, with similar reporting rates in the intervention and control groups. Intervention group participants selected hospitals with higher star ratings (2.52 vs 2.16; difference, 0.37 [95% CI, 0.32 to 0.43] p < 0.001) and were more likely to believe that the hospitals they chose would impact their chances of having cesarean deliveries (38.5% vs 33.1%, p < 0.001) but did not assign higher priority to cesarean delivery rates when choosing their hospitals (76.2% vs 74.3%, p = 0.05). There was no difference in self-reported cesarean rates between the intervention and control groups (31.4% vs 31.4%, p = 0.98). CONCLUSION: People offered an educational program and interactive tool to compare hospital cesarean rates were more likely to use cesarean data in selecting a hospital and selected hospitals with lower cesarean rates but were not less likely to have a cesarean. CLINICAL TRIAL REGISTRATION: Registered December 9, 2016 at clinicaltrials.gov, First enrollment November 2019. ID NCT02987803, https://clinicaltrials.gov/ct2/show/NCT02987803 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05087-y. BioMed Central 2022-10-10 /pmc/articles/PMC9549827/ /pubmed/36217115 http://dx.doi.org/10.1186/s12884-022-05087-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mehrotra, Ateev
Wolfberg, Adam
Shah, Neel T.
Plough, Avery
Weiseth, Amber
Blaine, Arianna I.
Noddin, Katie
Nakamoto, Carter H.
Richard, Jessica V.
Bradley, Dani
Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title_full Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title_fullStr Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title_full_unstemmed Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title_short Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
title_sort impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549827/
https://www.ncbi.nlm.nih.gov/pubmed/36217115
http://dx.doi.org/10.1186/s12884-022-05087-y
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