2022
DOI: 10.2196/42358
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Desperately Seeking Intersectionality in Digital Health Disparity Research: Narrative Review to Inform a Richer Theorization of Multiple Disadvantage

Abstract: Background Digital consultations between patients and clinicians increased markedly during the COVID-19 pandemic, raising questions about equity. Objective This study aimed to review the literature on how multiple disadvantage—specifically, older age, lower socioeconomic status, and limited English proficiency—has been conceptualized, theorized, and studied empirically in relation to digital consultations. We focused mainly on video consultations as the… Show more

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Cited by 37 publications
(27 citation statements)
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“…Software, for example, “configures the user” (that is, it includes built‐in assumptions about who will use it and how—for example, via the limited choices offered in pull‐down menus) 111 . Language in digital form may appear legitimate and “factual.” 112,113 Digitization of services may create new forms of inequity and social exclusion 114 …”
Section: Resultsmentioning
confidence: 99%
“…Software, for example, “configures the user” (that is, it includes built‐in assumptions about who will use it and how—for example, via the limited choices offered in pull‐down menus) 111 . Language in digital form may appear legitimate and “factual.” 112,113 Digitization of services may create new forms of inequity and social exclusion 114 …”
Section: Resultsmentioning
confidence: 99%
“…Providers and organizations also need to consider existing inequities in terms of digital literacy and patient access to technology and internet connectivity to ensure that the use of eHealth does not exacerbate existing healthcare disparities. 113 Designing and adapting technology that meets the needs of different patient groups can also ensure that the positive impacts of technology on building relationships and trust with these groups are not lost.…”
Section: Discussionmentioning
confidence: 99%
“…An intersectional lens can be applied to quantitative data collection, and this has been used descriptively. 54 Assumptions about both chronic pain and the highly contextual nature of intersectional health inequities should be made clear, for example, the experience and stress associated with racism will vary considerably across ethnic groups, country and with migration status. Demographic data should include ethnicity, gender, socioeconomic measures and be put into geographical context.…”
Section: Data Collectionmentioning
confidence: 99%