ArticleJournal of general internal medicine2023
Cross-Sectional Association of Patient Language and Patient-Provider Language Concordance with Video Telemedicine Use Among Patients with Limited English Proficiency.
Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Patient Characteristics Associated With Telehealth Use in a Large Federally Qualified Health Center.The Permanente journal · 2026Article
- Digital Health Technology Use Among Spanish Speakers in the US: A Scoping Review.JAMA network open · 2025Article
- Lower Use of and Potential Barriers to Using Patient Portals Among Limited English Proficient Latino and Chinese American Adults: A Health Techquity Concern.The Permanente journal · 2025Article
- Explaining Racial/Ethnic Disparities in Telehealth Use with Different Levels of English Proficiency: A Decomposition Approach.Telemedicine reports · 2025Article
- Video and phone visit use differed by language preference among U.S. Latino and Chinese adults during the first 9 months of the COVID-19 pandemic: a cross-sectional electronic health record study.BMC health services research · 2024Article
- Telemedicine in an adolescent and young adult medicine clinic: a mixed methods study.BMC health services research · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundTelemedicine's dramatic increase during the COVID-19 pandemic elevates the importance of addressing patient-care gaps in telemedicine, especially for patients with limited English proficiency.
objectiveTo examine the associations of patient language and patient-provider language concordance with telemedicine visit type (video versus telephone visit).
designCross-sectional automated data study of patient-scheduled primary care telemedicine appointments from March 16, 2020, to October 31, 2020.
settingNorthern California integrated healthcare delivery system.
participantsAll 22,427 completed primary care telemedicine visits scheduled by 13,764 patients with limited English proficiency via the patient portal. MEASUREMENTS: Cross-sectional association of electronic health record-documented patient language (Spanish as referent) and patient-provider language concordance with patients' choice of a video (versus telephone) visit, accounting for patient sociodemographics, technology access, and technology familiarity factors.
resultsOf all patient-scheduled visits, 34.5% (n = 7747) were video visits. The top three patient languages were Spanish (42.4%), Cantonese (16.9%), and Mandarin (10.3%). Adjusting for sociodemographic and technology access and familiarity factors and compared to patients speaking Spanish, video visit use was higher among patients speaking Cantonese (OR = 1.34, 95% CI: 1.18-1.52), Mandarin (OR = 1.33, 95% CI: 1.16-1.52), or Vietnamese (OR = 1.27, 95% CI: 1.09-1.47), but lower among patients speaking Punjabi (OR = 0.75, 95% CI: 0.75, 0.62-0.91). Language concordance was associated with lower video visit use (OR = 0.86, 95% CI: 0.80-0.93) and moderated associations of speaking Spanish, Cantonese, and Korean with video visit use. In addition, for all language groups, those with prior video visit use were more likely to re-use video visits compared to those with no prior use (p < .05 for all languages except Hindi with p = 0.06).
conclusionsAmong linguistically diverse patients with limited English proficiency, video telemedicine use differed by specific language. Disaggregating patient subpopulation data is necessary for identifying those at greatest risk of being negatively impacted by the digital divide.
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