Impact of Nurse-Led Telemedicine on Diabetes Care in a Rural Hospital Network

Thesis Abstract

This study investigates how nurse-led telemedicine interventions influence diabetes care quality, accessibility, and outcomes within a rural hospital network, addressing gaps in continuity of care, patient engagement, and clinician workload that frequently undermine chronic disease management in remote settings. The aim is to evaluate the impact of nurse-led telemedicine on glycemic control, adherence to evidence-based guidelines, patient satisfaction, and service utilization, with secondary objectives to assess feasibility, cost implications, and provider acceptance. The research integrates a mixed-methods design underpinned by the Technology Acceptance Model (TAM) and the Social Cognitive Theory to examine technology adoption, self-management behaviors, and organizational processes. The study adopts a convergent parallel mixed-methods approach conducted in five rural hospitals connected via a centralized telemedicine platform. The population comprises adults (?18 years) diagnosed with type 2 diabetes and receiving care through telemedicine-enabled nurse-led clinics between January 2023 and December 2025. A stratified random sample of 400 patients will be recruited for quantitative analysis, alongside purposive sampling of 25 nurse telemedicine coordinators and 15 physicians for qualitative interviews. Data collection instruments include (i) electronic health record (EHR)-derived measures of glycemic control (hemoglobin A1c, fasting plasma glucose) and process indicators (medication reconciliation, lipid management, blood pressure control) at baseline and 12 months; (ii) patient-reported outcomes using the Diabetes Knowledge Test and the Telemedicine Satisfaction Questionnaire; (iii) cost data from hospital financial records to assess incremental cost-effectiveness; and (iv) semi-structured interviews and focus groups to explore barriers, facilitators, and workflow integration. Instrument validity and reliability are established through pilot testing, Cronbach’s alpha analysis (target >0.70), and triangulation with EHR data. Data analysis employs (a) multilevel mixed-effects regression to evaluate changes in glycemic outcomes accounting for clustering by site and time; (b) difference-in-differences analysis comparing intervention and conventional care sites where applicable; (c) cost-utility and cost-effectiveness analyses using QALYs and incremental cost per HbA1c reduction; (d) thematic analysis of interview transcripts following an iterative coding frame aligned to TAM constructs and Social Cognitive Theory constructs; and (e) integration of quantitative and qualitative findings through joint display narratives. Expected findings include a statistically significant reduction in mean HbA1c ( anticipated decrease of 0.5–1.0 percentage points) and improved adherence to guideline-concordant care in the nurse-led telemedicine cohort versus baseline and conventional care peers; higher patient satisfaction and perceived self-efficacy in diabetes self-management; reduced rate of urgent hypoglycemia and fewer unnecessary in-person visits; and moderate to favorable cost-effectiveness with potential savings driven by reduced travel burdens and optimized workforce utilization. Qualitative data are expected to reveal enhanced perceived accessibility, trust in nurse-led teams, and organizational enablers such as standardized protocols, while identifying barriers such as connectivity issues and workflow integration challenges. The study contributes to knowledge by providing rigorous evidence on the clinical effectiveness, patient experience, and cost implications of nurse-led telemedicine in rural diabetes care, advancing theory by testing and refining TAM and Social Cognitive Theory in a real-world telehealth implementation context, and informing scalable models for nurse-driven digital health interventions in similar rural health systems. The main conclusion anticipated is that nurse-led telemedicine can improve diabetes care quality and patient experience in rural hospital networks without compromising safety, but sustained success requires investment in interoperability, training, and integrated care pathways. Policy and practice recommendations include standardizing telemedicine workflows, expanding nurse practitioner scope of practice where permissible, ensuring robust IT infrastructure, and incorporating telemedicine metrics into continuous quality improvement programs. Further research is suggested to explore long-term outcomes, equity implications across diverse rural populations, and the impact on provider well-being and burnout.