Patient characteristics and telemedicine use in the US, 2022
Importance:Telemedicine use was common during the COVID-19 pandemic, expanding many patients' approaches to accessing health care. Of concern is whether telemedicine access was poorer among higher-needs and disadvantaged populations. Objective:To assess patient characteristics associated with t...
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SHARE @ Advocate Health - Midwest
2024
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ftaurorahc:oai:institutionalrepository.aah.org:allother-1802 2024-04-28T08:13:51+00:00 Patient characteristics and telemedicine use in the US, 2022 Chang, Eva Penfold, Robert B Berkman, Nancy D 2024-03-04T08:00:00Z https://institutionalrepository.aah.org/allother/800 https://doi.org/10.1001/jamanetworkopen.2024.3354 https://libkey.io/libraries/1712/10.1001/jamanetworkopen.2024.3354 unknown SHARE @ Advocate Health - Midwest https://institutionalrepository.aah.org/allother/800 doi:10.1001/jamanetworkopen.2024.3354 https://libkey.io/libraries/1712/10.1001/jamanetworkopen.2024.3354 All Other Contributions Pandemics Telemedicine COVID-19 Correlation of Data Advocate Aurora Research Institute Population Health and Public Health text 2024 ftaurorahc https://doi.org/10.1001/jamanetworkopen.2024.3354 2024-04-04T16:56:02Z Importance:Telemedicine use was common during the COVID-19 pandemic, expanding many patients' approaches to accessing health care. Of concern is whether telemedicine access was poorer among higher-needs and disadvantaged populations. Objective:To assess patient characteristics associated with telemedicine use and telemedicine mode and describe telemedicine visit experiences by telemedicine mode. Design, setting, and participants:This cross-sectional study included data from the 2022 Health Information National Trends Survey and included US adults with a health care visit. Data were analyzed from May to September 2023. Exposure:Patient characteristics. Main outcomes and measures:Any telemedicine visits vs in-person visits only; telemedicine mode (video vs audio-only). Multivariable logistic models assessed patient characteristics associated with telemedicine visits and mode. Bivariate analyses compared telemedicine experiences by mode. Results:The study included 5437 adult patients (mean [SE] age, 49.4 [0.23] years; 3136 females [53.4%]; 1928 males [46.6%]). In 2022, 2384 patients (43%) had a telemedicine visit; 1565 (70%) had a video visit while 819 (30%) had an audio-only visit. In multivariable models, older age (≥75 years: adjusted odds ratio [aOR], 0.63; 95% CI, 0.42-0.94), no internet use (aOR, 0.62; 95% CI, 0.48-0.81), and living in the Midwest (aOR, 0.50; 95% CI, 0.35-0.70) were negatively associated with having telemedicine visits. Female sex (aOR, 1.43; 95% CI, 1.12-1.83), having chronic conditions (aOR, 2.13; 95% CI, 1.66-2.73), and multiple health care visits (2-4 visits: aOR, 1.77; 95% CI, 1.23-2.54; ≥5 visits: aOR, 3.29; 95% CI, 2.20-4.92) were positively associated. Among individuals who used telemedicine, older age (65-74 years: aOR, 2.13; 95% CI, 1.09-4.14; ≥75 years: aOR, 3.58; 95% CI, 1.60-8.00), no health insurance (aOR, 2.84; 95% CI, 1.42-5.67), and no internet use (aOR, 2.11; 95% CI, 1.18-3.78) were positively associated with having audio-only visits. We observed no significant ... Text Aurora Research Institute Aurora Health Care Digital Repository JAMA Network Open 7 3 e243354 |
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Aurora Health Care Digital Repository |
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topic |
Pandemics Telemedicine COVID-19 Correlation of Data Advocate Aurora Research Institute Population Health and Public Health |
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Pandemics Telemedicine COVID-19 Correlation of Data Advocate Aurora Research Institute Population Health and Public Health Chang, Eva Penfold, Robert B Berkman, Nancy D Patient characteristics and telemedicine use in the US, 2022 |
topic_facet |
Pandemics Telemedicine COVID-19 Correlation of Data Advocate Aurora Research Institute Population Health and Public Health |
description |
Importance:Telemedicine use was common during the COVID-19 pandemic, expanding many patients' approaches to accessing health care. Of concern is whether telemedicine access was poorer among higher-needs and disadvantaged populations. Objective:To assess patient characteristics associated with telemedicine use and telemedicine mode and describe telemedicine visit experiences by telemedicine mode. Design, setting, and participants:This cross-sectional study included data from the 2022 Health Information National Trends Survey and included US adults with a health care visit. Data were analyzed from May to September 2023. Exposure:Patient characteristics. Main outcomes and measures:Any telemedicine visits vs in-person visits only; telemedicine mode (video vs audio-only). Multivariable logistic models assessed patient characteristics associated with telemedicine visits and mode. Bivariate analyses compared telemedicine experiences by mode. Results:The study included 5437 adult patients (mean [SE] age, 49.4 [0.23] years; 3136 females [53.4%]; 1928 males [46.6%]). In 2022, 2384 patients (43%) had a telemedicine visit; 1565 (70%) had a video visit while 819 (30%) had an audio-only visit. In multivariable models, older age (≥75 years: adjusted odds ratio [aOR], 0.63; 95% CI, 0.42-0.94), no internet use (aOR, 0.62; 95% CI, 0.48-0.81), and living in the Midwest (aOR, 0.50; 95% CI, 0.35-0.70) were negatively associated with having telemedicine visits. Female sex (aOR, 1.43; 95% CI, 1.12-1.83), having chronic conditions (aOR, 2.13; 95% CI, 1.66-2.73), and multiple health care visits (2-4 visits: aOR, 1.77; 95% CI, 1.23-2.54; ≥5 visits: aOR, 3.29; 95% CI, 2.20-4.92) were positively associated. Among individuals who used telemedicine, older age (65-74 years: aOR, 2.13; 95% CI, 1.09-4.14; ≥75 years: aOR, 3.58; 95% CI, 1.60-8.00), no health insurance (aOR, 2.84; 95% CI, 1.42-5.67), and no internet use (aOR, 2.11; 95% CI, 1.18-3.78) were positively associated with having audio-only visits. We observed no significant ... |
format |
Text |
author |
Chang, Eva Penfold, Robert B Berkman, Nancy D |
author_facet |
Chang, Eva Penfold, Robert B Berkman, Nancy D |
author_sort |
Chang, Eva |
title |
Patient characteristics and telemedicine use in the US, 2022 |
title_short |
Patient characteristics and telemedicine use in the US, 2022 |
title_full |
Patient characteristics and telemedicine use in the US, 2022 |
title_fullStr |
Patient characteristics and telemedicine use in the US, 2022 |
title_full_unstemmed |
Patient characteristics and telemedicine use in the US, 2022 |
title_sort |
patient characteristics and telemedicine use in the us, 2022 |
publisher |
SHARE @ Advocate Health - Midwest |
publishDate |
2024 |
url |
https://institutionalrepository.aah.org/allother/800 https://doi.org/10.1001/jamanetworkopen.2024.3354 https://libkey.io/libraries/1712/10.1001/jamanetworkopen.2024.3354 |
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Aurora Research Institute |
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Aurora Research Institute |
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All Other Contributions |
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https://institutionalrepository.aah.org/allother/800 doi:10.1001/jamanetworkopen.2024.3354 https://libkey.io/libraries/1712/10.1001/jamanetworkopen.2024.3354 |
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https://doi.org/10.1001/jamanetworkopen.2024.3354 |
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JAMA Network Open |
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7 |
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e243354 |
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