Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic. (31st August 2020)
- Record Type:
- Journal Article
- Title:
- Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic. (31st August 2020)
- Main Title:
- Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic
- Authors:
- Weber, Ellerie
Miller, Sarah J
Astha, Varuna
Janevic, Teresa
Benn, Emma - Abstract:
- Abstract: Objective: To explore whether racial/ethnic differences in telehealth use existed during the peak pandemic period among NYC patients seeking care for COVID-19 related symptoms. Materials and Methods: This study used data from a large health system in NYC – the epicenter of the US crisis – to describe characteristics of patients seeking COVID-related care via telehealth, ER, or office encounters during the peak pandemic period. Using multinomial logistic regression, we estimated the magnitude of the relationship between patient characteristics and the odds of having a first encounter via telehealth versus ER or office visit, and then used regression parameter estimates to predict patients' probabilities of using different encounter types given their characteristics. Results: Demographic factors, including race/ethnicity and age, were significantly predictive of telehealth use. As compared to Whites, Blacks had higher adjusted odds of using both the ER versus telehealth (OR: 4.3, 95% CI: 4.0-4.6) and office visits versus telehealth (OR: 1.4, 95% CI: 1.3-1.5). For Hispanics versus Whites, the analogous ORs were 2.5 (95% CI: 2.3-2.7) and 1.2 (95% CI: 1.1-1.3). Compared to any age groups, patients 65+ had significantly higher odds of using either ER or office visits versus telehealth. Conclusions: The response to COVID-19 has involved an unprecedented expansion in telehealth. While older Americans and minority populations among others are known to be disadvantaged byAbstract: Objective: To explore whether racial/ethnic differences in telehealth use existed during the peak pandemic period among NYC patients seeking care for COVID-19 related symptoms. Materials and Methods: This study used data from a large health system in NYC – the epicenter of the US crisis – to describe characteristics of patients seeking COVID-related care via telehealth, ER, or office encounters during the peak pandemic period. Using multinomial logistic regression, we estimated the magnitude of the relationship between patient characteristics and the odds of having a first encounter via telehealth versus ER or office visit, and then used regression parameter estimates to predict patients' probabilities of using different encounter types given their characteristics. Results: Demographic factors, including race/ethnicity and age, were significantly predictive of telehealth use. As compared to Whites, Blacks had higher adjusted odds of using both the ER versus telehealth (OR: 4.3, 95% CI: 4.0-4.6) and office visits versus telehealth (OR: 1.4, 95% CI: 1.3-1.5). For Hispanics versus Whites, the analogous ORs were 2.5 (95% CI: 2.3-2.7) and 1.2 (95% CI: 1.1-1.3). Compared to any age groups, patients 65+ had significantly higher odds of using either ER or office visits versus telehealth. Conclusions: The response to COVID-19 has involved an unprecedented expansion in telehealth. While older Americans and minority populations among others are known to be disadvantaged by the digital divide, few studies have examined disparities in telehealth specifically, and none during COVID-19. Additional research into sociodemographic heterogeneity in telehealth use is needed to prevent potentially further exacerbating health disparities overall. … (more)
- Is Part Of:
- Journal of the American Medical Informatics Association. Volume 27:Number 12(2020)
- Journal:
- Journal of the American Medical Informatics Association
- Issue:
- Volume 27:Number 12(2020)
- Issue Display:
- Volume 27, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 27
- Issue:
- 12
- Issue Sort Value:
- 2020-0027-0012-0000
- Page Start:
- 1949
- Page End:
- 1954
- Publication Date:
- 2020-08-31
- Subjects:
- Telehealth -- telemedicine -- healthcare disparities -- healthcare delivery
Medical informatics -- Periodicals
Information Services -- Periodicals
Medical Informatics -- Periodicals
Médecine -- Informatique -- Périodiques
Informatica
Geneeskunde
Informatique médicale
Computer network resources
Electronic journals
610.285 - Journal URLs:
- http://jamia.bmj.com/ ↗
http://www.jamia.org ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=76 ↗
http://www.sciencedirect.com/science/journal/10675027 ↗
http://jamia.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/en/ ↗ - DOI:
- 10.1093/jamia/ocaa216 ↗
- Languages:
- English
- ISSNs:
- 1067-5027
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4689.025000
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