Improved patient access and outcomes with the integration of an eConsult program (teledermatology) within a large academic medical center

J Am Acad Dermatol. 2020 Dec;83(6):1633-1638. doi: 10.1016/j.jaad.2019.10.053. Epub 2019 Oct 31.

Abstract

Background: Insurance, racial, and socioeconomic health disparities continue to pose significant challenges for access to dermatologic care. Studies applying teledermatology to increase access to underinsured individuals and ethnic minorities are limited.

Objective: To determine how the implementation of a teledermatology program affects access to health care and patient outcomes.

Methods: A cross-sectional evaluation was performed of all ambulatory dermatology referrals and electronic dermatology consultations (eConsults) at Ohio State University within a 25-month period.

Results: Compared with ambulatory referrals, eConsults served more nonwhite patients (612 of 1698 [36.0%] vs 4040 of 16,073 [25.1%]; P < .001) and more Medicaid enrollees (459 of 1698 patients [27.0%] vs 3266 of 16,073 [20.3%]; P < .001). In addition, ambulatory referral patients were significantly less likely to attend their scheduled appointment compared with eConsult patients, as either "no-shows" (246 of 2526 [9.7%] vs 3 of 62 [4.8%]) or cancellations (742 of 2526 [29.4%] vs 8 of 62 [12.9%]; P = .003). There were fewer median days to extirpation for eConsult patients compared with ambulatory referral patients (interquartile range; 80.7 ± 79.8 vs 116.9 ± 86.6 days; P = .004).

Conclusion: Integrating dermatologic care through a telemedicine system can result in improved access for underserved patients through improved efficiency outcomes.

Keywords: e-Consult; electronic consultation; health disparities; socioeconomic disparities; teledermatology; telemedicine.

MeSH terms

  • Adult
  • Appointments and Schedules
  • Cross-Sectional Studies
  • Dermatology / methods
  • Dermatology / organization & administration
  • Dermatology / statistics & numerical data*
  • Female
  • Health Plan Implementation
  • Health Services Accessibility / organization & administration
  • Health Services Accessibility / statistics & numerical data*
  • Healthcare Disparities / statistics & numerical data
  • Hospitals, University / organization & administration
  • Hospitals, University / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Ohio
  • Program Evaluation
  • Remote Consultation / organization & administration
  • Remote Consultation / statistics & numerical data*
  • Retrospective Studies
  • Skin Diseases / diagnosis*
  • Skin Diseases / therapy
  • Socioeconomic Factors
  • Vulnerable Populations / statistics & numerical data