AI Article Synopsis

  • The COVID-19 pandemic led to a notable increase in telehealth usage, particularly among cancer surgical patients, but key sociodemographic and clinical characteristics affecting this usage remain unclear.
  • A study involving 2,942 cancer patients revealed that 24.5% received at least one telehealth visit, with factors like age, sex, cancer type, insurance, and county of residence influencing the likelihood of utilizing telehealth services.
  • Despite concerns, the study found no significant difference in telehealth access between patients in high and low Digital Divide Index (DDI) counties, indicating that some patients might face barriers to telehealth regardless of their technological resources.

Article Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic increased the use of telehealth within medicine. Data on sociodemographic and clinical characteristics associated with telehealth utilization among cancer surgical patients have not been well-defined.

Methods: Cancer patients who had a surgical oncology visit at the James Cancer Hospital in March 2020-May 2021 were included. Patient demographic and clinical characteristics were recorded; access to modern information technology was measured using the Digital Divide Index (DDI). A logistic regression model was used to assess odds of receiving a telehealth.

Results: Among 2942 patients, median DDI was 18.2 (interquartile range 17.4-22.1). Patients were most often insured through managed care (n = 1459, 49.6%), followed by Medicare (n = 1109, 37.7%) and Medicaid (n = 267, 9.1%). Overall, 722 patients (24.5%) received at least one telehealth visit over the study period. On multivariable analysis, age (odds ratio [OR] 0.89, 95% confidence interval [CI] 0.80-0.98 per 10-year increase), sex (male vs. female: OR 1.83, 95% CI 1.45-2.32), cancer type (pancreatic vs. breast: OR 9.19, 95% CI 6.38-13.23; colorectal vs. breast: OR 5.31, 95% CI 3.71-7.58), insurance type (Medicare vs. Medicaid: OR 1.58, 95% CI 1.04-2.41) and county of residence (distant vs. neighboring: OR 1.33, 95% CI 1.06-1.66) were associated with increased odds of receiving a telehealth visit. Patients from high DDI counties were not less likely to receive telehealth visits versus patients from low DDI counties (OR 1.15, 95% CI 0.85-1.57).

Conclusions: Several patient sociodemographic and clinical characteristics had an impact on the likelihood of receiving a telehealth visit versus an in-person visit, suggesting that telehealth may not be equally accessible to all surgical oncology patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331038PMC
http://dx.doi.org/10.1245/s10434-022-12259-9DOI Listing

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