{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:43:28Z","timestamp":1785545008358,"version":"3.56.0"},"reference-count":94,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Hum Factors"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Telehealth was essential for maintaining care continuity during the COVID-19 pandemic, leading to its rapid adoption across the United States. Telehealth has been heralded as a strategy for improving health care access and reducing health disparities, especially for community-dwelling older adults who face significant barriers to in-person care. However, data on telehealth use among socially and financially vulnerable older adults are limited, and little is known about characteristics associated with telehealth use in this population.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n Guided by the Systems Engineering Initiative for Patient Safety (SEIPS) 3.0 framework, this study examined factors associated with postpandemic telehealth use among older adults living at home and receiving publicly funded home- and community-based services (HCBS), considering HCBS receipt as an indicator of social and financial vulnerability.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n This cross-sectional study included older adults aged 65 years or older living at home with available telehealth use data who participated in the 2021\u20102022 survey wave of the National Core Indicators-Aging and Disabilities Adult Consumer Survey. We used complete-case multivariable logistic regression, adjusting for sociodemographic and health-related factors with state-level random intercepts, to examine associations between telehealth use and covariates of interest (age, sex, race\/ethnicity, zip code, rural-urban commuting area code, internet access, self-perceived overall health, medical transportation access, living alone, number of known non\u2013Alzheimer disease and related dementias [ADRD] diagnoses, known ADRD diagnosis, and HCBS program\/payer type). Based on the regression results, we estimated bivariate associations between internet access and key sociodemographic variables (age, sex, race\/ethnicity, and zip code rural-urban commuting area) using the Pearson chi-square test. Findings were organized and interpreted through the SEIPS 3.0 framework.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Of the 3680 participants, 1467 (40%) were telehealth users and 2213 (60%) were nonusers. Significantly lower odds of telehealth were observed for older adults in older age groups, males, Black individuals, those living in nonmetropolitan areas, and recipients of Older Americans Act services (odds ratios [OR] between 0.66 and 0.80). Individuals with more than one known non-ADRD diagnosis (OR 1.49, 95% CI 1.02\u20102.17) and those with an ADRD diagnosis (OR 1.33, 95% CI 1.07\u20101.66) had higher odds of telehealth use. Internet access was strongly associated with telehealth use (OR 2.51, 95% CI 2.15\u20102.92). Follow-up bivariate analyses between internet access and sociodemographic characteristics revealed that those of younger age, females, and White individuals had higher levels of internet access.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Differences in telehealth use among older HCBS recipients are associated with multiple individual, technological, and organizational factors. Interpreted through the SEIPS 3.0 framework, these findings underscore the importance of viewing telehealth use as the outcome of multiple features of the health care system. Future research should clarify the mechanisms driving variation in telehealth use to identify and address barriers to telehealth adoption among vulnerable older adults.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/77522","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:22:02Z","timestamp":1780431722000},"page":"e77522-e77522","source":"Crossref","is-referenced-by-count":0,"title":["Telehealth Use Among Older Adults Receiving Home- and Community-Based Services: Cross-Sectional Analysis Using the National Core Indicators\u2013Aging and Disabilities Survey"],"prefix":"10.2196","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2781-9860","authenticated-orcid":false,"given":"Dana P","family":"Urbanski","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6087-0583","authenticated-orcid":false,"given":"Romil 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