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A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks

BACKGROUND: Digital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has...

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Autores principales: Nazeha, Nuraini, Pavagadhi, Deepali, Kyaw, Bhone Myint, Car, Josip, Jimenez, Geronimo, Tudor Car, Lorainne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677019/
https://www.ncbi.nlm.nih.gov/pubmed/33151152
http://dx.doi.org/10.2196/22706
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author Nazeha, Nuraini
Pavagadhi, Deepali
Kyaw, Bhone Myint
Car, Josip
Jimenez, Geronimo
Tudor Car, Lorainne
author_facet Nazeha, Nuraini
Pavagadhi, Deepali
Kyaw, Bhone Myint
Car, Josip
Jimenez, Geronimo
Tudor Car, Lorainne
author_sort Nazeha, Nuraini
collection PubMed
description BACKGROUND: Digital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has yet to be consolidated and analyzed. OBJECTIVE: The review aims to identify and study existing digital health competency frameworks for health care workers and provide recommendations for future digital health training initiatives and framework development. METHODS: A literature search was performed to collate digital health competency frameworks published from 2000. A total of 6 databases including gray literature sources such as OpenGrey, ResearchGate, Google Scholar, Google, and websites of relevant associations were searched in November 2019. Screening and data extraction were performed in parallel by the reviewers. The included evidence is narratively described in terms of characteristics, evolution, and structural composition of frameworks. A thematic analysis was also performed to identify common themes across the included frameworks. RESULTS: In total, 30 frameworks were included in this review, a majority of which aimed at nurses, originated from high-income countries, were published since 2016, and were developed via literature reviews, followed by expert consultations. The thematic analysis uncovered 28 digital health competency domains across the included frameworks. The most prevalent domains pertained to basic information technology literacy, health information management, digital communication, ethical, legal, or regulatory requirements, and data privacy and security. The Health Information Technology Competencies framework was found to be the most comprehensive framework, as it presented 21 out of the 28 identified domains, had the highest number of competencies, and targeted a wide variety of health care workers. CONCLUSIONS: Digital health training initiatives should focus on competencies relevant to a particular health care worker group, role, level of seniority, and setting. The findings from this review can inform and guide digital health training initiatives. The most prevalent competency domains identified represent essential interprofessional competencies to be incorporated into health care workers’ training. Digital health frameworks should be regularly updated with novel digital health technologies, be applicable to low- and middle-income countries, and include overlooked health care worker groups such as allied health professionals.
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spelling pubmed-76770192020-11-23 A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks Nazeha, Nuraini Pavagadhi, Deepali Kyaw, Bhone Myint Car, Josip Jimenez, Geronimo Tudor Car, Lorainne J Med Internet Res Review BACKGROUND: Digital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has yet to be consolidated and analyzed. OBJECTIVE: The review aims to identify and study existing digital health competency frameworks for health care workers and provide recommendations for future digital health training initiatives and framework development. METHODS: A literature search was performed to collate digital health competency frameworks published from 2000. A total of 6 databases including gray literature sources such as OpenGrey, ResearchGate, Google Scholar, Google, and websites of relevant associations were searched in November 2019. Screening and data extraction were performed in parallel by the reviewers. The included evidence is narratively described in terms of characteristics, evolution, and structural composition of frameworks. A thematic analysis was also performed to identify common themes across the included frameworks. RESULTS: In total, 30 frameworks were included in this review, a majority of which aimed at nurses, originated from high-income countries, were published since 2016, and were developed via literature reviews, followed by expert consultations. The thematic analysis uncovered 28 digital health competency domains across the included frameworks. The most prevalent domains pertained to basic information technology literacy, health information management, digital communication, ethical, legal, or regulatory requirements, and data privacy and security. The Health Information Technology Competencies framework was found to be the most comprehensive framework, as it presented 21 out of the 28 identified domains, had the highest number of competencies, and targeted a wide variety of health care workers. CONCLUSIONS: Digital health training initiatives should focus on competencies relevant to a particular health care worker group, role, level of seniority, and setting. The findings from this review can inform and guide digital health training initiatives. The most prevalent competency domains identified represent essential interprofessional competencies to be incorporated into health care workers’ training. Digital health frameworks should be regularly updated with novel digital health technologies, be applicable to low- and middle-income countries, and include overlooked health care worker groups such as allied health professionals. JMIR Publications 2020-11-05 /pmc/articles/PMC7677019/ /pubmed/33151152 http://dx.doi.org/10.2196/22706 Text en ©Nuraini Nazeha, Deepali Pavagadhi, Bhone Myint Kyaw, Josip Car, Geronimo Jimenez, Lorainne Tudor Car. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.11.2020. 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 http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Nazeha, Nuraini
Pavagadhi, Deepali
Kyaw, Bhone Myint
Car, Josip
Jimenez, Geronimo
Tudor Car, Lorainne
A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title_full A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title_fullStr A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title_full_unstemmed A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title_short A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks
title_sort digitally competent health workforce: scoping review of educational frameworks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677019/
https://www.ncbi.nlm.nih.gov/pubmed/33151152
http://dx.doi.org/10.2196/22706
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