Telemedicine impact on patient disparities and physician practice patterns in cancer rehabilitation: A multicenter retrospective study

OBJECTIVE

To examine the impact of telemedicine on demographic and practice patterns between outpatients receiving virtual versus in-person cancer rehabilitation physiatry care.

DESIGN

Multicenter retrospective study.

SETTING

Outpatient cancer rehabilitation physiatry clinics at four academic medical centers in the United States.

PATIENTS

Patients with cancer diagnoses or history of cancer diagnosis.

INTERVENTIONS

Cancer rehabilitation physiatry encounters.

MAIN OUTCOME MEASURES

Visit mode (in-person, telemedicine); disparities variables (age, race, and gender) by visit mode, and practice interventions (imaging, medications, procedures, other orders, and orders of any type) by visit mode.

RESULTS

Among a total of 7004 encounters, 2687 unique patients were found. In-person participants were significantly older than the average telemedicine participant (mean 62.9 vs. 60.7 years; p < .001). A race effect was seen (p = .037) with individuals reporting as Asian or other being more likely to have telemedicine encounters. No gender disparities were seen. Using a random visit analysis model to compare populations receiving in-person versus telemedicine care, a slight majority (53%) of follow-up visits were via telemedicine, versus 40% of new patient visits (p < .001). No significant differences were seen in medication prescribing frequency (38.9% telemedicine vs. 36.7% in-person, adjusted relative risk [RR]: 0.988, confidence interval [CI]: 0.73-1.34; p = .988) or imaging frequency (2.4% telemedicine vs. 7.6%; adjusted RR: 0.784, CI: 0.44-1.39; p = .408) between telemedicine versus in-person visit types. Other orders were significantly less likely to be placed during telemedicine than in-person visits (19.9% telemedicine vs. 28.6% in-person; adjusted RR: 0.623, CI: 0.45-0.86, p = .004). Order(s) of any type were placed in 54% of visits (52% telemedicine vs. 56% in-person; adjusted RR: 0.92 for telemedicine, CI: 0.83-1.01, p = .082).

CONCLUSIONS

Telemedicine has been integrated into cancer rehabilitation physiatry practices and appears to be conducive for placing many types of orders, especially medications. Age was found to be the only major demographic difference between in-person and telehealth patients.

The Relationship Between Broadband Speeds, Device Type, Demographic Characteristics, and Care-Seeking Via Telehealth

Background: This study sought to examine the complex relationship between individual and environmental characteristics, broadband access, device type (computer or smartphone), and telehealth utilization as it relates to the digital divide. Methods: We analyzed a combination of electronic health record and publicly available zip code-level data for 2,770 men seeking treatment on a large, nationally available, direct-to-consumer telehealth platform. Using logistic regression, we determined the likelihood of accessing the platform through a smartphone (vs. a computer) based on key features of the environment, including broadband access and income, and demographic characteristics, including age and race. Results: We found that living in areas with higher rates of broadband adoption significantly decreased the likelihood of accessing virtual care using a smartphone (odds ratio [OR] = 0.17, p < 0.001). Compared with the 18-29 age category, the odds of accessing virtual care using a smartphone decreased for men between the age categories of 40-59 (OR = 0.63, p < 0.01) and over 60 (OR = 0.29, p < 0.001) years. Belonging to historically marginalized communities of color (Black, Hispanic, and Native American) almost doubled the odds of using a smartphone to access the platform (OR = 1.8, p < 0.001). Broadband availability and median area income were not significantly associated with mobile use. Conclusions: Telehealth platform design and policy solutions intended to expand access to virtual care should be flexible enough to accommodate the sometimes competing needs of patients who are at the greatest risk of being left behind.