Implementation of a Digital Health Intervention (CHAMP) for Self-Monitoring of Hypertension: Protocol for 3 Interlinked Implementation Studies

作者：Laura Martinengo, Ngoc Huong Lien Ha, Eugene Tay, Shao Chuen Tong, Nick Sevdalis · 发表于：JMIR Research Protocols · 年份：2025 · DOI：10.2196/72942 · 被引用次数：2 · 研究领域：Digital Mental Health Interventions、Mobile Health and mHealth Applications、Electronic Health Records Systems

BACKGROUND: Hypertension affects 31% of the global adult population. Artificial intelligence-based chatbots may support self-management of hypertension and other chronic disorders. Chronic Disease Management Program (CHAMP) is a digital health intervention designed to support chronic disease self-management, comprising a patient-facing chatbot and an artificial intelligence-augmented clinical decision support system linked to electronic medical records. OBJECTIVE: This project aims to optimize the deployment of CHAMP across primary care centers by developing implementation strategies and pilot-testing their appropriateness and effectiveness. METHODS: We report 3 interlinked studies. Study 1 is a rapid evidence review to evaluate the factors influencing the implementation of mobile health and chatbot interventions in health care settings and the strategies and processes involved. We will follow the Cochrane Rapid Reviews Methods Group methodology and use the Consolidated Framework for Implementation Research and the unified theory of acceptance and use of technology frameworks to analyze the data. Study 2 is a formative, mixed methods study to inform the state of CHAMP deployment to date, the organizational structure of primary care centers, and the barriers and facilitators influencing the implementation and scale-up of CHAMP in primary care centers. We will interview members of the CHAMP development and initial implementation team, health care providers (HCPs), primary care ...