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Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review
OBJECTIVE: To investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers. METHODS: A systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDE...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852716/ https://www.ncbi.nlm.nih.gov/pubmed/35168981 http://dx.doi.org/10.1136/bmjopen-2021-056807 |
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author | Sakamoto, Jennifer Lisa Carandang, Rogie Royce Kharel, Madhu Shibanuma, Akira Yarotskaya, Ekaterina Basargina, Milana Jimba, Masamine |
author_facet | Sakamoto, Jennifer Lisa Carandang, Rogie Royce Kharel, Madhu Shibanuma, Akira Yarotskaya, Ekaterina Basargina, Milana Jimba, Masamine |
author_sort | Sakamoto, Jennifer Lisa |
collection | PubMed |
description | OBJECTIVE: To investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers. METHODS: A systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDEX, Central Register of Controlled Trials, The Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, Health Technology Assessment, UNICEF and WHO databases. Two searches were conducted to include original research articles published in English until 15 November 2021. Several tools were used to assess the risk of bias: revised Cochrane risk of bias tool for randomised trials, Risk of Bias in Non-randomized Studies of Interventions, National Heart, Lung, and Blood Institute quality assessment tool for cohort and cross-sectional studies, Critical Appraisal Skills Program checklist for qualitative studies and Mixed Methods Appraisal Tool for mixed-methods studies. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation approach. Due to the high heterogeneity and variability of the included studies, data synthesis was conducted narratively. RESULTS: 44 studies were included among 11 999 identified articles. Most studies reported mixed findings on the roles of mHealth interventions in the psychosocial health of pregnant women and mothers; mHealth improved self-management, acceptance of pregnancy/motherhood and social support, while mixed results were observed for anxiety and depressive symptoms, perceived stress, mental well-being, coping and self-efficacy. Furthermore, pregnant women and mothers from vulnerable populations benefited from the use of mHealth to improve their psychosocial health. CONCLUSIONS: The findings suggest that mHealth has the potential to improve self-management, acceptance of pregnancy/motherhood and social support. mHealth can also be a useful tool to reach vulnerable pregnant women and mothers with barriers to health information and facilitate access to healthcare services. However, the high heterogeneity limited the certainty of evidence of these findings. Therefore, future studies should identify the context under which mHealth could be more effective. |
format | Online Article Text |
id | pubmed-8852716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88527162022-03-03 Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review Sakamoto, Jennifer Lisa Carandang, Rogie Royce Kharel, Madhu Shibanuma, Akira Yarotskaya, Ekaterina Basargina, Milana Jimba, Masamine BMJ Open Mental Health OBJECTIVE: To investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers. METHODS: A systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDEX, Central Register of Controlled Trials, The Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, Health Technology Assessment, UNICEF and WHO databases. Two searches were conducted to include original research articles published in English until 15 November 2021. Several tools were used to assess the risk of bias: revised Cochrane risk of bias tool for randomised trials, Risk of Bias in Non-randomized Studies of Interventions, National Heart, Lung, and Blood Institute quality assessment tool for cohort and cross-sectional studies, Critical Appraisal Skills Program checklist for qualitative studies and Mixed Methods Appraisal Tool for mixed-methods studies. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation approach. Due to the high heterogeneity and variability of the included studies, data synthesis was conducted narratively. RESULTS: 44 studies were included among 11 999 identified articles. Most studies reported mixed findings on the roles of mHealth interventions in the psychosocial health of pregnant women and mothers; mHealth improved self-management, acceptance of pregnancy/motherhood and social support, while mixed results were observed for anxiety and depressive symptoms, perceived stress, mental well-being, coping and self-efficacy. Furthermore, pregnant women and mothers from vulnerable populations benefited from the use of mHealth to improve their psychosocial health. CONCLUSIONS: The findings suggest that mHealth has the potential to improve self-management, acceptance of pregnancy/motherhood and social support. mHealth can also be a useful tool to reach vulnerable pregnant women and mothers with barriers to health information and facilitate access to healthcare services. However, the high heterogeneity limited the certainty of evidence of these findings. Therefore, future studies should identify the context under which mHealth could be more effective. BMJ Publishing Group 2022-02-15 /pmc/articles/PMC8852716/ /pubmed/35168981 http://dx.doi.org/10.1136/bmjopen-2021-056807 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Mental Health Sakamoto, Jennifer Lisa Carandang, Rogie Royce Kharel, Madhu Shibanuma, Akira Yarotskaya, Ekaterina Basargina, Milana Jimba, Masamine Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title | Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title_full | Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title_fullStr | Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title_full_unstemmed | Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title_short | Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review |
title_sort | effects of mhealth on the psychosocial health of pregnant women and mothers: a systematic review |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852716/ https://www.ncbi.nlm.nih.gov/pubmed/35168981 http://dx.doi.org/10.1136/bmjopen-2021-056807 |
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