Impact of telemedicine on access to care in surgical oncology clinics: Distance and time to visit analysis for new patients at a multispecialty cancer center.

Abstract

e23345 Background: Telemedicine enables patients to attend visits remotely and is associated with shorter wait times (i.e. scheduling-to-appointment duration). However, its impact on patient–clinic distance and wait times for new patients in high-volume surgical oncology centers remains unclear. In these centers, where appointment availability and travel distance significantly influence care decisions, understanding telemedicine’s impact on access is essential as federal policies supporting telemedicine continue to be under legislative review. To address this, we examined the relationship between new patient visit modality, distance, and wait time across demographics, providing insights to guide policy makers, and clinical practice. Methods: We extracted visit data from a multispecialty surgical oncology center in Northern California from 2019 to 2023 and used linear models with fixed effects for clinician and patient characteristics to assess the association of NPV modality with distance and wait times. We calculated distance using geodesic measurements between residential ZIP codes and care sites and derived median household income and education levels from the American Community Survey. Results: There were 10596 NPVs in 2019, and 13982 in 2023, conducted by 78 and 100 clinicians respectively. The proportion of NPV visits conducted by telemedicine increased from 0% to 28% during this period. From 2021–2023, NPVs conducted by telemedicine were more likely to fall outside the center’s 2019 catchment area (80th percentile of distance) with an adjusted odds ratio of 1.89 (95% CI 1.62, 2.21). Wait times for telemedicine NPVs was 3.0 days shorter (95% CI [2.0, 3.9]) than in-person visits. Compared to the reduction in wait times for patients aged 45–65 (2.8 days, 95% CI [1.8, 3.8]), those 80 and older had a smaller reduction (1.9 days, 95% CI [0.9, 2.8]), while patients aged 65–79 had a greater reduction (3.4 days, 95% CI [2.4, 4.5]). This effect did not significantly vary by sex, race, ethnicity, education, income, or insurance status. Conclusions: At this multispecialty surgical oncology center, new patients seen via telemedicine were more likely to reside outside the center’s traditional catchment area and had shorter wait times, with these differences varying by demographic characteristics. Strategic telemedicine integration tailored to patient needs could enhance access by reducing wait times and expanding specialized surgical oncology care to patients across broader geographic distances.