Literature DB >> 34081023

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

Mariam El Benny1, Tamar Kabakian-Khasholian1, Fadi El-Jardali2, Marco Bardus1.   

Abstract

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. ©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.

Entities:  

Keywords:  consumer health information; digital health interventions; eHealth literacy; mHealth; mobile phone; scoping review

Year:  2021        PMID: 34081023     DOI: 10.2196/23473

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  6 in total

1.  Factors associated with eHealth literacy focusing on digital literacy components: A cross-sectional study of middle-aged adults in South Korea.

Authors:  Jaegyeong Lee; Sunghee H Tak
Journal:  Digit Health       Date:  2022-05-20

Review 2.  Adherence to r-hGH Therapy in Pediatric Growth Hormone Deficiency: Current Perspectives on How Patient-Generated Data Will Transform r-hGH Treatment Towards Integrated Care.

Authors:  Martin O Savage; Luis Fernandez-Luque; Selina Graham; Paula van Dommelen; Matheus Araujo; Antonio de Arriba; Ekaterina Koledova
Journal:  Patient Prefer Adherence       Date:  2022-07-11       Impact factor: 2.314

3.  Future Problem-Solving Practiced During COVID-19: Implications for Health Management Students' E-Health Literacy Identity.

Authors:  Dorit Alt; Lior Naamati-Schneider; Adaya Meirovich
Journal:  Front Psychol       Date:  2022-02-17

4.  Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey.

Authors:  Lorina Buhr; Silke Schicktanz; Eike Nordmeyer
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-24       Impact factor: 4.773

5.  Assessing eHealth literacy among internet users in Lebanon: A cross-sectional study.

Authors:  Marco Bardus; Arda Keriabian; Martine Elbejjani; Samar Al-Hajj
Journal:  Digit Health       Date:  2022-08-09

Review 6.  Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal.

Authors:  Paola Daniore; Vasileios Nittas; Viktor von Wyl
Journal:  J Med Internet Res       Date:  2022-09-09       Impact factor: 7.076

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.