EFFECTIVENESS OF HEALTH COACHING AI APPLICATIONS FOR NON-COMMUNICABLE DISEASES’ MANAGEMENT: IMPACT ON BEHAVIOR CHANGE

Abstract

The rising prevalence of noncommunicable diseases (NCDs) such as diabetes, cardiovascular disease, and chronic respiratory illnesses underscores the urgent need for effective management strategies. This study investigates the effectiveness of health coaching applications enabled by artificial intelligence (AI) in promoting behavior change among individuals having NCDs. Utilizing a mixed-methods approach, the research evaluates user engagement, adherence to treatment regimens, and the impact of application features including personalized interventions, real-time feedback, and community support. Data was collected through surveys distributed among NCD patients using various health coaching applications. Preliminary findings indicate that personalized health coaching significantly enhances user adherence and engagement, with specific features being instrumental in driving positive health outcomes. Additionally, barriers to effective use, such as data privacy concerns and technology access, were identified. This research contributes to the understanding of how AI applications can optimize NCD management and offers insights for developers and healthcare providers to enhance the usability and effectiveness of these technologies. Ultimately, findings aim to inform the design of future health coaching applications, ensuring they better meet the needs of patients managing chronic health conditions.