Cargando…
Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review
BACKGROUND: With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interve...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613392/ https://www.ncbi.nlm.nih.gov/pubmed/37898755 http://dx.doi.org/10.1186/s12913-023-10171-w |
_version_ | 1785128822299951104 |
---|---|
author | Amiri, Parastoo Nadri, Hamed Bahaadinbeigy, Kambiz |
author_facet | Amiri, Parastoo Nadri, Hamed Bahaadinbeigy, Kambiz |
author_sort | Amiri, Parastoo |
collection | PubMed |
description | BACKGROUND: With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interventions during the Covid-19 pandemic. METHODS: In this systematic review, original studies were searched using keywords in the electronic database of PubMed until August 2022. The objectives and outcomes of these studies were extracted. Finally, to identify the facilitators and barriers of mHealth interventions, a qualitative content analysis was conducted based on the strengths, weaknesses, opportunities, and threats (SWOT) analysis method with Atlas.ti 8 software. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT). RESULTS: In total, 1598 articles were identified and 55 articles were included in this study. Most of the studies used mobile applications to provide and receive health services during the Covid-19 pandemic (96.4%). The purpose of the applications was to help prevention (17), follow-up (15), treatment (12), and diagnosis (8). Using SWOT analysis, 13 facilitators and 18 barriers to patients’ use of mHealth services were identified. CONCLUSION: Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to privacy, and non-academic nature have not met their expectations of them. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10171-w. |
format | Online Article Text |
id | pubmed-10613392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106133922023-10-30 Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review Amiri, Parastoo Nadri, Hamed Bahaadinbeigy, Kambiz BMC Health Serv Res Research BACKGROUND: With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interventions during the Covid-19 pandemic. METHODS: In this systematic review, original studies were searched using keywords in the electronic database of PubMed until August 2022. The objectives and outcomes of these studies were extracted. Finally, to identify the facilitators and barriers of mHealth interventions, a qualitative content analysis was conducted based on the strengths, weaknesses, opportunities, and threats (SWOT) analysis method with Atlas.ti 8 software. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT). RESULTS: In total, 1598 articles were identified and 55 articles were included in this study. Most of the studies used mobile applications to provide and receive health services during the Covid-19 pandemic (96.4%). The purpose of the applications was to help prevention (17), follow-up (15), treatment (12), and diagnosis (8). Using SWOT analysis, 13 facilitators and 18 barriers to patients’ use of mHealth services were identified. CONCLUSION: Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to privacy, and non-academic nature have not met their expectations of them. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10171-w. BioMed Central 2023-10-28 /pmc/articles/PMC10613392/ /pubmed/37898755 http://dx.doi.org/10.1186/s12913-023-10171-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Amiri, Parastoo Nadri, Hamed Bahaadinbeigy, Kambiz Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title | Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title_full | Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title_fullStr | Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title_full_unstemmed | Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title_short | Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review |
title_sort | facilitators and barriers of mhealth interventions during the covid-19 pandemic: systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613392/ https://www.ncbi.nlm.nih.gov/pubmed/37898755 http://dx.doi.org/10.1186/s12913-023-10171-w |
work_keys_str_mv | AT amiriparastoo facilitatorsandbarriersofmhealthinterventionsduringthecovid19pandemicsystematicreview AT nadrihamed facilitatorsandbarriersofmhealthinterventionsduringthecovid19pandemicsystematicreview AT bahaadinbeigykambiz facilitatorsandbarriersofmhealthinterventionsduringthecovid19pandemicsystematicreview |