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Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study
BACKGROUND: Almost one-third of pregnant people visit the emergency room during pregnancy. Although some emergency care is necessary, gaps in patient education and inaccessibility of preventive services have been identified as key reasons for high-cost, low-value care in pregnancy. Digital platforms...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227709/ https://www.ncbi.nlm.nih.gov/pubmed/37184930 http://dx.doi.org/10.2196/43180 |
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author | Jahnke, Hannah R Rubin-Miller, Lily Henrich, Natalie Moss, Christa Shah, Neel Peahl, Alex |
author_facet | Jahnke, Hannah R Rubin-Miller, Lily Henrich, Natalie Moss, Christa Shah, Neel Peahl, Alex |
author_sort | Jahnke, Hannah R |
collection | PubMed |
description | BACKGROUND: Almost one-third of pregnant people visit the emergency room during pregnancy. Although some emergency care is necessary, gaps in patient education and inaccessibility of preventive services have been identified as key reasons for high-cost, low-value care in pregnancy. Digital platforms present a promising solution for providing resources to supplement routine prenatal care, thereby reducing the use of low-value in-person services. OBJECTIVE: This study aimed to describe the relationship between the use of Maven and in-person care avoidance (emergency room or office visits) during pregnancy. Maven is a digital prenatal health platform that supplements routine prenatal care. Maven offers educational content (articles, videos, and classes), care coordination (through a care advocate), and provider services (web-based appointments and communication with providers) designed to complement prenatal care. Specifically, the aims of this study were to examine whether the use of Maven is associated with in-person care avoidance overall and whether improvements in pregnancy-related knowledge facilitate in-person care avoidance. To assess aim 2, we tested if the use of Maven is associated with improvements in self-reported understanding of warning signs and medically accurate information and if self-reported understanding of medically accurate information and warning signs is associated with in-person care avoidance in a population of Maven users. METHODS: In this retrospective study, we used adjusted logistic regression to examine the relationship between digital platform use, avoidance of in-person care, and the platform’s influence on pregnancy-related knowledge (learning medically accurate information and recognizing warning signs). Demographics, medical history, and in-person care avoidance were self-reported. RESULTS: Of the 5263 users, 280 (5.32%) reported that Maven helped them avoid in-person care during pregnancy. More users who reported avoiding in-person care also reported that the digital platform helped them understand warning signs (231/280, 82.5%) and learned medically accurate information (185/280, 66.1%). In the adjusted models, all modes of digital service use (assessed as quartiles) were associated with avoiding in-person care in a dose-response manner (eg, web-based provider appointments: Q2 adjusted odds ratio [aOR] 1.57, 95% CI 1.00-2.41; Q3 aOR 2.53, 95% CI 1.72-3.72; Q4 aOR 5.26, 95% CI 3.76-7.42). Users were more likely to avoid in-person care if they reported that Maven helped them recognize warning signs (aOR 3.55, 95% CI 2.60-4.94) or learn medically accurate information (aOR 2.05, 95% CI 1.59-2.67). CONCLUSIONS: These results suggest that digital platforms can be effective in helping patients to avoid in-person care. The educational pathway suggests that digital platforms can be particularly effective in helping patients recognize warning signs and learn medically accurate information, which may help them avoid in-person care by recognizing when in-person care is medically appropriate. Future work is needed to assess other pathways through which digital resources can support pregnant people and improve perinatal care use. |
format | Online Article Text |
id | pubmed-10227709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102277092023-05-31 Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study Jahnke, Hannah R Rubin-Miller, Lily Henrich, Natalie Moss, Christa Shah, Neel Peahl, Alex J Med Internet Res Original Paper BACKGROUND: Almost one-third of pregnant people visit the emergency room during pregnancy. Although some emergency care is necessary, gaps in patient education and inaccessibility of preventive services have been identified as key reasons for high-cost, low-value care in pregnancy. Digital platforms present a promising solution for providing resources to supplement routine prenatal care, thereby reducing the use of low-value in-person services. OBJECTIVE: This study aimed to describe the relationship between the use of Maven and in-person care avoidance (emergency room or office visits) during pregnancy. Maven is a digital prenatal health platform that supplements routine prenatal care. Maven offers educational content (articles, videos, and classes), care coordination (through a care advocate), and provider services (web-based appointments and communication with providers) designed to complement prenatal care. Specifically, the aims of this study were to examine whether the use of Maven is associated with in-person care avoidance overall and whether improvements in pregnancy-related knowledge facilitate in-person care avoidance. To assess aim 2, we tested if the use of Maven is associated with improvements in self-reported understanding of warning signs and medically accurate information and if self-reported understanding of medically accurate information and warning signs is associated with in-person care avoidance in a population of Maven users. METHODS: In this retrospective study, we used adjusted logistic regression to examine the relationship between digital platform use, avoidance of in-person care, and the platform’s influence on pregnancy-related knowledge (learning medically accurate information and recognizing warning signs). Demographics, medical history, and in-person care avoidance were self-reported. RESULTS: Of the 5263 users, 280 (5.32%) reported that Maven helped them avoid in-person care during pregnancy. More users who reported avoiding in-person care also reported that the digital platform helped them understand warning signs (231/280, 82.5%) and learned medically accurate information (185/280, 66.1%). In the adjusted models, all modes of digital service use (assessed as quartiles) were associated with avoiding in-person care in a dose-response manner (eg, web-based provider appointments: Q2 adjusted odds ratio [aOR] 1.57, 95% CI 1.00-2.41; Q3 aOR 2.53, 95% CI 1.72-3.72; Q4 aOR 5.26, 95% CI 3.76-7.42). Users were more likely to avoid in-person care if they reported that Maven helped them recognize warning signs (aOR 3.55, 95% CI 2.60-4.94) or learn medically accurate information (aOR 2.05, 95% CI 1.59-2.67). CONCLUSIONS: These results suggest that digital platforms can be effective in helping patients to avoid in-person care. The educational pathway suggests that digital platforms can be particularly effective in helping patients recognize warning signs and learn medically accurate information, which may help them avoid in-person care by recognizing when in-person care is medically appropriate. Future work is needed to assess other pathways through which digital resources can support pregnant people and improve perinatal care use. JMIR Publications 2023-05-15 /pmc/articles/PMC10227709/ /pubmed/37184930 http://dx.doi.org/10.2196/43180 Text en ©Hannah R Jahnke, Lily Rubin-Miller, Natalie Henrich, Christa Moss, Neel Shah, Alex Peahl. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.05.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Jahnke, Hannah R Rubin-Miller, Lily Henrich, Natalie Moss, Christa Shah, Neel Peahl, Alex Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title | Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title_full | Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title_fullStr | Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title_full_unstemmed | Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title_short | Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study |
title_sort | association between the use of a digital health platform during pregnancy and helping users avoid emergency and in-person care: retrospective observational study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227709/ https://www.ncbi.nlm.nih.gov/pubmed/37184930 http://dx.doi.org/10.2196/43180 |
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