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Measurement of Digital Literacy Among Older Adults: Systematic Review

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 asses...

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Autores principales: Oh, Sarah Soyeon, Kim, Kyoung-A, Kim, Minsu, Oh, Jaeuk, Chu, Sang Hui, Choi, JiYeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889415/
https://www.ncbi.nlm.nih.gov/pubmed/33533727
http://dx.doi.org/10.2196/26145
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author Oh, Sarah Soyeon
Kim, Kyoung-A
Kim, Minsu
Oh, Jaeuk
Chu, Sang Hui
Choi, JiYeon
author_facet Oh, Sarah Soyeon
Kim, Kyoung-A
Kim, Minsu
Oh, Jaeuk
Chu, Sang Hui
Choi, JiYeon
author_sort Oh, Sarah Soyeon
collection PubMed
description 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.
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spelling pubmed-78894152021-03-05 Measurement of Digital Literacy Among Older Adults: Systematic Review Oh, Sarah Soyeon Kim, Kyoung-A Kim, Minsu Oh, Jaeuk Chu, Sang Hui Choi, JiYeon J Med Internet Res Review 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. JMIR Publications 2021-02-03 /pmc/articles/PMC7889415/ /pubmed/33533727 http://dx.doi.org/10.2196/26145 Text en ©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. 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
Oh, Sarah Soyeon
Kim, Kyoung-A
Kim, Minsu
Oh, Jaeuk
Chu, Sang Hui
Choi, JiYeon
Measurement of Digital Literacy Among Older Adults: Systematic Review
title Measurement of Digital Literacy Among Older Adults: Systematic Review
title_full Measurement of Digital Literacy Among Older Adults: Systematic Review
title_fullStr Measurement of Digital Literacy Among Older Adults: Systematic Review
title_full_unstemmed Measurement of Digital Literacy Among Older Adults: Systematic Review
title_short Measurement of Digital Literacy Among Older Adults: Systematic Review
title_sort measurement of digital literacy among older adults: systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889415/
https://www.ncbi.nlm.nih.gov/pubmed/33533727
http://dx.doi.org/10.2196/26145
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