{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T13:08:53Z","timestamp":1792415333677,"version":"4.4.0"},"reference-count":65,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The use of digital technologies within health care rapidly increased as services transferred to web-based platforms during the COVID-19 pandemic. Inequalities in digital health across the domains of equity are not routinely examined; yet, the long-term integration of digitally delivered services needs to consider such inequalities to ensure equitable benefits.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This scoping review aimed to map inequities in access, use, and engagement with digital health technologies across equity domains.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We searched 4 electronic databases (MEDLINE, ASSIA, PsycINFO, and Scopus) for quantitative and mixed methods reviews and meta-analyses published between January 2016 and May 2022. Reviews were limited to those that included studies from the World Health Organization\u2019s European region. Extracted data were mapped against Cochrane\u2019s PROGRESS PLUS (place of residence, race, ethnicity, culture, and language, occupation, gender and sex, religion, education, socioeconomic status, social capital, and other characteristics) dimensions of equity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In total, 404 unique citations were identified from the searches, and 2 citations were identified from other sources. After eligibility assessment, 22 reviews were included. Consistent evidence was found showing higher access to digital health technologies among patients who were of White ethnicity, were English speaking, and had no disability. There were no reviews that explored differences in access to digital health care by age, gender and sex, occupation, education, or homeless or substance misuse. Higher use of digital health technologies was observed among populations that were White, English speaking, younger, with a higher level of education, of higher economic status, and residents in urban areas. No clear evidence of differences in the use of digital technologies by occupation, gender and sex, disability, or homeless or substance misuse was found, nor was clear evidence found in the included reviews on inequalities in the engagement with digital technologies. Finally, no reviews were identified that explored differences by place of residence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Despite awareness of the potential impact of inequalities in digital health, there are important evidence gaps across multiple equity domains. The development of a common framework for evaluating digital health equity in new health initiatives and consistency in reporting findings is needed.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/44181","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T11:01:18Z","timestamp":1682679678000},"page":"e44181","source":"Crossref","is-referenced-by-count":71,"title":["Mapping Inequities in Digital Health Technology Within the World Health Organization\u2019s European Region Using PROGRESS PLUS: Scoping Review"],"prefix":"10.2196","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3743-9925","authenticated-orcid":false,"given":"Katherine 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