Measurement of Digital Literacy Among Older Adults: Systematic Review
- PMID: 33533727
- PMCID: PMC7889415
- DOI: 10.2196/26145
Measurement of Digital Literacy Among Older Adults: Systematic Review
Erratum in
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Correction: Measurement of Digital Literacy Among Older Adults: Systematic Review.J Med Internet Res. 2021 Mar 3;23(3):e28211. doi: 10.2196/28211. J Med Internet Res. 2021. PMID: 33657006 Free PMC article.
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Correction: Measurement of Digital Literacy Among Older Adults: Systematic Review.J Med Internet Res. 2021 Jun 15;23(6):e30828. doi: 10.2196/30828. J Med Internet Res. 2021. PMID: 34129513 Free PMC article.
Abstract
Background: Numerous instruments are designed to measure digital literacy among the general population. However, few studies have assessed the use and appropriateness of these measurements for older populations.
Objective: This systematic review aims to identify and critically appraise studies assessing digital literacy among older adults and to evaluate how digital literacy instruments used in existing studies address the elements of age-appropriate digital literacy using the European Commission's Digital Competence (DigComp) Framework.
Methods: Electronic databases were searched for studies using validated instruments to assess digital literacy among older adults. The quality of all included studies was evaluated using the Crowe Critical Appraisal Tool (CCAT). Instruments were assessed according to their ability to incorporate the competence areas of digital literacy as defined by the DigComp Framework: (1) information and data literacy, (2) communication and collaboration, (3) digital content creation, (4) safety, and (5) problem-solving ability, or attitudes toward information and communication technology use.
Results: Searches yielded 1561 studies, of which 27 studies (17 cross-sectional, 2 before and after, 2 randomized controlled trials, 1 longitudinal, and 1 mixed methods) were included in the final analysis. Studies were conducted in the United States (18/27), Germany (3/27), China (1/27), Italy (1/27), Sweden (1/27), Canada (1/27), Iran (1/27), and Bangladesh (1/27). Studies mostly defined older adults as aged ≥50 years (10/27) or ≥60 years (8/27). Overall, the eHealth Literacy Scale (eHEALS) was the most frequently used instrument measuring digital literacy among older adults (16/27, 59%). Scores on the CCAT ranged from 34 (34/40, 85%) to 40 (40/40, 100%). Most instruments measured 1 or 2 of the DigComp Framework's elements, but the Mobile Device Proficiency Questionnaire (MDPQ) measured all 5 elements, including "digital content creation" and "safety."
Conclusions: The current digital literacy assessment instruments targeting older adults have both strengths and weaknesses, relative to their study design, administration method, and ease of use. Certain instrument modalities like the MDPQ are more generalizable and inclusive and thus, favorable for measuring the digital literacy of older adults. More studies focusing on the suitability of such instruments for older populations are warranted, especially for areas like "digital content creation" and "safety" that currently lack assessment. Evidence-based discussions regarding the implications of digitalization for the treatment of older adults and how health care professionals may benefit from this phenomenon are encouraged.
Keywords: aging; digital literacy; eHealth; ehealth literacy; elderly; healthy aging; literacy; mobile health; older adults; review; telehealth.
©Sarah Soyeon Oh, Kyoung-A Kim, Minsu Kim, Jaeuk Oh, Sang Hui Chu, JiYeon Choi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.02.2021.
Conflict of interest statement
Conflicts of Interest: None declared.
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References
-
- Anderson M, Perrin A. Tech adoption climbs among older adults. Pew Research Center. 2017. May 17, [2021-01-23]. https://www.pewresearch.org/internet/2017/05/17/tech-adoption-climbs-amo...
-
- OECD Secretariat OECD Digital Economy Outlook 2017. Organisation for Economic Cooperation and Development (OECD) 2017. Oct 11, [2021-01-23]. https://www.oecd.org/digital/oecd-digital-economy-outlook-2017-978926427....
-
- Rogers SE. Bridging the 21st Century Digital Divide. TechTrends. 2016 Mar 30;60(3):197–199. doi: 10.1007/s11528-016-0057-0. - DOI
-
- Akçayır M, Dündar H, Akçayır G. What makes you a digital native? Is it enough to be born after 1980? Computers in Human Behavior. 2016 Jul;60:435–440. doi: 10.1016/j.chb.2016.02.089. - DOI
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