Telemedicine And Remote Patient Monitoring for Preventing Risk and Chronic Disease Management in Underserved Communities

Abstract

Telemedicine and remote patient monitoring have emerged as important digital healthcare strategies for improving chronic disease management and reducing healthcare accessibility barriers among underserved populations. This study examined the effectiveness of telemedicine and remote patient monitoring in preventing health risks and enhancing chronic disease management outcomes among individuals living in underserved communities. A quantitative cross-sectional research design was employed, and data were collected from 300 participants diagnosed with chronic conditions, including hypertension, diabetes mellitus, cardiovascular disease, and chronic respiratory diseases. Participants were selected using a stratified random sampling approach and completed a structured questionnaire assessing telemedicine utilization, remote patient monitoring participation, medication adherence, preventive care compliance, healthcare accessibility, and disease management outcomes. Data were analyzed using descriptive statistics, Pearson correlation analysis, independent-samples t-tests, one-way analysis of variance, and multiple regression analysis using SPSS version 29. The findings revealed that hypertension (38.0%) and diabetes mellitus (31.0%) were the most prevalent chronic conditions among participants. Telemedicine engagement was substantial, with 45.0% of participants utilizing telemedicine services two to three times per month and 26.0% engaging on a weekly basis. Correlation analysis demonstrated significant positive relationships between telemedicine utilization and overall chronic disease management outcomes (r = 0.716, p < 0.001), healthcare accessibility (r = 0.698, p < 0.001), disease self-management (r = 0.643, p < 0.001), medication adherence (r = 0.621, p < 0.001), and preventive care compliance (r = 0.584, p < 0.001). Multiple regression analysis indicated that telemedicine utilization was the strongest predictor of chronic disease management outcomes (β = 0.472, p < 0.001), followed by remote patient monitoring participation (β = 0.351, p < 0.001). The regression model explained 64.1% of the variance in chronic disease management performance (R² = 0.641). Participants with higher digital literacy and consistent internet access reported significantly stronger telemedicine engagement and disease management outcomes than participants experiencing technological limitations.