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Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review

BACKGROUND: Digital health interventions (DHIs) are increasingly being adopted globally to address various public health issues. DHIs can be categorized according to four main types of technology: mobile based, web based, telehealth, and electronic health records. In 2006, Norman and Skinner introdu...

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Autores principales: El Benny, Mariam, Kabakian-Khasholian, Tamar, El-Jardali, Fadi, Bardus, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212628/
https://www.ncbi.nlm.nih.gov/pubmed/34081023
http://dx.doi.org/10.2196/23473
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author El Benny, Mariam
Kabakian-Khasholian, Tamar
El-Jardali, Fadi
Bardus, Marco
author_facet El Benny, Mariam
Kabakian-Khasholian, Tamar
El-Jardali, Fadi
Bardus, Marco
author_sort El Benny, Mariam
collection PubMed
description BACKGROUND: Digital health interventions (DHIs) are increasingly being adopted globally to address various public health issues. DHIs can be categorized according to four main types of technology: mobile based, web based, telehealth, and electronic health records. In 2006, Norman and Skinner introduced the eHealth literacy model, encompassing six domains of skills and abilities (basic, health, information, scientific, media, and computer) needed to effectively understand, process, and act on health-related information. Little is known about whether these domains are assessed or accounted for in DHIs. OBJECTIVE: This study aims to explore how DHIs assess and evaluate the eHealth literacy model, describe which health conditions are addressed, and which technologies are used. METHODS: We conducted a scoping review of the literature on DHIs, based on randomized controlled trial design and reporting the assessment of any domain of the eHealth literacy model. MEDLINE, CINAHL, Embase, and Cochrane Library were searched. A duplicate selection and data extraction process was performed; we charted the results according to the country of origin, health condition, technology used, and eHealth literacy domain. RESULTS: We identified 131 unique DHIs conducted in 26 different countries between 2001 and 2020. Most DHIs were conducted in English-speaking countries (n=81, 61.8%), delivered via the web (n=68, 51.9%), and addressed issues related to noncommunicable diseases (n=57, 43.5%) or mental health (n=26, 19.8%). None of the interventions assessed all six domains of the eHealth literacy model. Most studies focused on the domain of health literacy (n=96, 73.2%), followed by digital (n=19, 14.5%), basic and media (n=4, 3%), and information and scientific literacy (n=1, 0.7%). Of the 131 studies, 7 (5.3%) studies covered both health and digital literacy. CONCLUSIONS: Although many selected DHIs assessed health or digital literacy, no studies comprehensively evaluated all domains of the eHealth literacy model; this evidence might be overlooking important factors that can mediate or moderate the effects of these interventions. Future DHIs should comprehensively assess the eHealth literacy model while developing or evaluating interventions to understand how and why interventions can be effective.
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spelling pubmed-82126282021-07-09 Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review El Benny, Mariam Kabakian-Khasholian, Tamar El-Jardali, Fadi Bardus, Marco J Med Internet Res Review BACKGROUND: Digital health interventions (DHIs) are increasingly being adopted globally to address various public health issues. DHIs can be categorized according to four main types of technology: mobile based, web based, telehealth, and electronic health records. In 2006, Norman and Skinner introduced the eHealth literacy model, encompassing six domains of skills and abilities (basic, health, information, scientific, media, and computer) needed to effectively understand, process, and act on health-related information. Little is known about whether these domains are assessed or accounted for in DHIs. OBJECTIVE: This study aims to explore how DHIs assess and evaluate the eHealth literacy model, describe which health conditions are addressed, and which technologies are used. METHODS: We conducted a scoping review of the literature on DHIs, based on randomized controlled trial design and reporting the assessment of any domain of the eHealth literacy model. MEDLINE, CINAHL, Embase, and Cochrane Library were searched. A duplicate selection and data extraction process was performed; we charted the results according to the country of origin, health condition, technology used, and eHealth literacy domain. RESULTS: We identified 131 unique DHIs conducted in 26 different countries between 2001 and 2020. Most DHIs were conducted in English-speaking countries (n=81, 61.8%), delivered via the web (n=68, 51.9%), and addressed issues related to noncommunicable diseases (n=57, 43.5%) or mental health (n=26, 19.8%). None of the interventions assessed all six domains of the eHealth literacy model. Most studies focused on the domain of health literacy (n=96, 73.2%), followed by digital (n=19, 14.5%), basic and media (n=4, 3%), and information and scientific literacy (n=1, 0.7%). Of the 131 studies, 7 (5.3%) studies covered both health and digital literacy. CONCLUSIONS: Although many selected DHIs assessed health or digital literacy, no studies comprehensively evaluated all domains of the eHealth literacy model; this evidence might be overlooking important factors that can mediate or moderate the effects of these interventions. Future DHIs should comprehensively assess the eHealth literacy model while developing or evaluating interventions to understand how and why interventions can be effective. JMIR Publications 2021-06-03 /pmc/articles/PMC8212628/ /pubmed/34081023 http://dx.doi.org/10.2196/23473 Text en ©Mariam El Benny, Tamar Kabakian-Khasholian, Fadi El-Jardali, Marco Bardus. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.06.2021. 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 Review
El Benny, Mariam
Kabakian-Khasholian, Tamar
El-Jardali, Fadi
Bardus, Marco
Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title_full Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title_fullStr Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title_full_unstemmed Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title_short Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review
title_sort application of the ehealth literacy model in digital health interventions: scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212628/
https://www.ncbi.nlm.nih.gov/pubmed/34081023
http://dx.doi.org/10.2196/23473
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