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Mixed-methods study examines RPM effects on hospital stays and nursing workflows in chronic disease patients, suggesting improvements in care coordination.
Remote patient monitoring (RPM) technologies are increasingly integrated into chronic disease management and home healthcare systems. However, evidence regarding their clinical and organizational impact in transitional healthcare systems remains limited. This study examined the association between RPM-supported home healthcare, hospitalization outcomes, and nursing workflow transformation among patients with chronic diseases in Georgia. A sequential explanatory mixed-methods study was conducted between 2025 and 2026. The quantitative phase utilized a quasi-experimental comparative design involving 300 patients receiving either RPM-supported home healthcare (n = 150) or standard home healthcare services (n = 150). Clinical outcomes included hospitalization, emergency department utilization, readmission rates, medication adherence, and disease-specific indicators. Workflow-related experiences were assessed among 110 nurses and caregivers. Multiple regression analyses were performed to identify predictors of hospitalization and workflow efficiency. The qualitative phase included 25 semi-structured interviews with healthcare professionals, analyzed using thematic analysis. Patients receiving RPM-supported care demonstrated lower hospitalization rates, fewer emergency department visits, and reduced 30-day readmission compared with patients receiving standard care. RPM utilization was independently associated with lower hospitalization risk (OR = 0.71, 95% CI: 0.51-0.98, P = .039). Healthcare professionals reported improved care coordination, communication efficiency, and earlier identification of clinical deterioration. However, participants also described increased documentation burden, cognitive workload, and alert fatigue associated with digital monitoring systems. RPM-supported home healthcare may contribute to modest improvements in chronic disease management and continuity of care in Georgia. However, successful digital health implementation requires organizational readiness, workforce adaptation, and alignment between digital technologies and clinical workflow.
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Tengiz Verulava (2026) studied this question.
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