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Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features

BACKGROUND: Many pregnant women use the internet to obtain information about pregnancy and childbirth. Over 50% of pregnant women use pregnancy apps and must search through thousands of pregnancy or women’s health–related apps available on app stores. The COVID-19 pandemic is changing how women rece...

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Detalles Bibliográficos
Autores principales: Frid, Gabriela, Bogaert, Kelly, Chen, Katherine T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561408/
https://www.ncbi.nlm.nih.gov/pubmed/34524100
http://dx.doi.org/10.2196/25667
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author Frid, Gabriela
Bogaert, Kelly
Chen, Katherine T
author_facet Frid, Gabriela
Bogaert, Kelly
Chen, Katherine T
author_sort Frid, Gabriela
collection PubMed
description BACKGROUND: Many pregnant women use the internet to obtain information about pregnancy and childbirth. Over 50% of pregnant women use pregnancy apps and must search through thousands of pregnancy or women’s health–related apps available on app stores. The COVID-19 pandemic is changing how women receive prenatal care. Mobile health apps may help maintain women’s satisfaction with their prenatal care. OBJECTIVE: Our objective is to identify pregnancy mobile apps and to evaluate the apps using a modified APPLICATIONS (app comprehensiveness, price, privacy, literature used, in-app purchases, connectivity, advertisements, text search field, images/videos, other special features, navigation ease, subjective presentation) scoring system. METHODS: A list of pregnancy apps was identified in the first 20 Google search results using the search term “pregnancy app.” After excluding irrelevant, inaccurate, malfunctioning, or no longer available apps, all unique apps were downloaded and evaluated with the modified APPLICATIONS scoring system, which includes both objective and subjective criteria and evaluation of special features. RESULTS: A list of 57 unique pregnancy apps was generated. After 28 apps were excluded, the remaining 29 apps were evaluated, with a mean score of 9.4 points out of a maximum of 16. The highest scoring app scored 15 points. Over 60% (18/29) of apps did not have comprehensive information for every stage of pregnancy or did not contain all four desired components of pregnancy apps: health promotion/patient education, communication, health tracking, and notifications and reminders. Only 24% (7/29) of apps included a text search field, and only 28% (8/29) of apps cited literature. CONCLUSIONS: Our search yielded many high-scoring apps, but few contained all desired components and features. This list of identified and rated apps can lessen the burden on pregnant women and providers to find available apps on their own. Although health care providers should continue to vet apps before recommending them to patients, these findings also highlight that a Google search is a successful way for patients and providers to find useful and comprehensive pregnancy apps.
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spelling pubmed-85614082021-11-17 Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features Frid, Gabriela Bogaert, Kelly Chen, Katherine T J Med Internet Res Original Paper BACKGROUND: Many pregnant women use the internet to obtain information about pregnancy and childbirth. Over 50% of pregnant women use pregnancy apps and must search through thousands of pregnancy or women’s health–related apps available on app stores. The COVID-19 pandemic is changing how women receive prenatal care. Mobile health apps may help maintain women’s satisfaction with their prenatal care. OBJECTIVE: Our objective is to identify pregnancy mobile apps and to evaluate the apps using a modified APPLICATIONS (app comprehensiveness, price, privacy, literature used, in-app purchases, connectivity, advertisements, text search field, images/videos, other special features, navigation ease, subjective presentation) scoring system. METHODS: A list of pregnancy apps was identified in the first 20 Google search results using the search term “pregnancy app.” After excluding irrelevant, inaccurate, malfunctioning, or no longer available apps, all unique apps were downloaded and evaluated with the modified APPLICATIONS scoring system, which includes both objective and subjective criteria and evaluation of special features. RESULTS: A list of 57 unique pregnancy apps was generated. After 28 apps were excluded, the remaining 29 apps were evaluated, with a mean score of 9.4 points out of a maximum of 16. The highest scoring app scored 15 points. Over 60% (18/29) of apps did not have comprehensive information for every stage of pregnancy or did not contain all four desired components of pregnancy apps: health promotion/patient education, communication, health tracking, and notifications and reminders. Only 24% (7/29) of apps included a text search field, and only 28% (8/29) of apps cited literature. CONCLUSIONS: Our search yielded many high-scoring apps, but few contained all desired components and features. This list of identified and rated apps can lessen the burden on pregnant women and providers to find available apps on their own. Although health care providers should continue to vet apps before recommending them to patients, these findings also highlight that a Google search is a successful way for patients and providers to find useful and comprehensive pregnancy apps. JMIR Publications 2021-10-18 /pmc/articles/PMC8561408/ /pubmed/34524100 http://dx.doi.org/10.2196/25667 Text en ©Gabriela Frid, Kelly Bogaert, Katherine T Chen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.10.2021. 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
Frid, Gabriela
Bogaert, Kelly
Chen, Katherine T
Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title_full Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title_fullStr Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title_full_unstemmed Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title_short Mobile Health Apps for Pregnant Women: Systematic Search, Evaluation, and Analysis of Features
title_sort mobile health apps for pregnant women: systematic search, evaluation, and analysis of features
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561408/
https://www.ncbi.nlm.nih.gov/pubmed/34524100
http://dx.doi.org/10.2196/25667
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