Assessing Teledermatology Outcomes in Rural Community Health Clinics

Thesis Abstract

The increasing prevalence of skin conditions in rural populations and the limited access to dermatology specialists necessitate scalable remote consultation models to improve diagnostic accuracy, timeliness, and treatment outcomes in primary care settings. This study addresses the gap in empirical evidence regarding teledermatology effectiveness, equity of access, and patient-centered outcomes in rural community health clinics. The aim is to evaluate teledermatology outcomes in improving diagnostic concordance, wait times, referral rates, treatment adherence, patient satisfaction, and cost implications. Specific objectives are to (1) determine diagnostic concordance between teledermatology consultations and in-person dermatology assessments, (2) quantify changes in patient wait times from referral to management, (3) assess referral reduction or escalation rates attributable to teledermatology triage, (4) evaluate treatment adherence and clinical outcomes for common dermatological conditions (e.g., eczema, actinic keratosis, melanoma screening), (5) examine patient and provider satisfaction, and (6) analyze cost-effectiveness from the healthcare system perspective. A mixed-methods approach will be employed, anchored in the Technology Acceptance Model and the Diffusion of Innovations theory to contextualize adoption and utilization. The study will adopt a concurrent triangulation design. The quantitative component will involve a retrospective cohort of 1,200 teledermatology referrals managed over 24 months in five rural clinics, with matched in-person dermatology outcomes where available. Data will be extracted from electronic medical records and teledermatology software logs to capture diagnostic concordance, wait times, referral patterns, treatment adherence (medication possession ratio and patient-reported adherence), and direct medical costs. The qualitative component will include semi-structured interviews with 40 patients and 20 primary care clinicians to explore perceived barriers, facilitators, and satisfaction, complemented by focus groups with teledermatology nurses and technicians to understand workflow implications. Diagnostic concordance will be analyzed using Cohen’s kappa, while wait times and adherence metrics will be tested with paired t-tests and logistic regression to identify predictors of adherence and improved outcomes. Cost-effectiveness will be evaluated through incremental cost-effectiveness ratios (ICERs) and sensitivity analyses. Thematic analysis will be performed on interview transcripts using Braun and Clarke’s framework to identify themes related to accessibility, trust, and perceived quality of care. Expected findings include higher diagnostic concordance in teledermatology for common benign and inflammatory conditions, reduced wait times by an average of 18–25 days, and a net decrease in non-urgent referrals to secondary care by 22–28%, without compromising management of malignancy screening. It is anticipated that adherence to prescribed topical therapies will improve due to clearer remote guidance and follow-up scheduling, and patient satisfaction will be elevated owing to reduced travel burden and timely feedback. The qualitative component is expected to reveal that organizational support, reliable image quality, and standardized referral workflows are critical determinants of successful teledermatology integration. The study will contribute to knowledge by providing robust, context-specific evidence on the clinical effectiveness, patient-centered outcomes, and economic viability of teledermatology in rural primary care settings, informing policy and scaled implementation in similar resource-limited environments. The discussion will situate findings within the theoretical lenses of the Technology Acceptance Model and Diffusion of Innovations, elucidating how perceived usefulness, ease of use, and organizational readiness predict adoption and sustained use. Conclusions will indicate that teledermatology can be a clinically effective and cost-efficient modality to augment dermatology access in rural clinics when coupled with standardized protocols, quality assurance for image capture, and continuous training for primary care staff. Recommendations will include (1) implementing formal teledermatology onboarding programs, (2) investing in high-resolution imaging equipment and secure data transmission, (3) establishing clear clinical pathways and escalation criteria, (4) integrating teledermatology metrics into routine quality indicators, and (5) conducting longitudinal follow-up studies to assess long-term oncologic outcomes and scalability across diverse rural settings.