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Implementation of a Digital Health Intervention (CHAMP) for Self-Monitoring of Hypertension: Protocol for 3
Laura Martinengo1, Ngoc Huong Lien Ha1, Eugene Tay1
1Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Insights
This study optimizes the Chronic Disease Management Program (CHAMP) chatbot for hypertension self-management in primary care. It develops and tests strategies to improve digital health intervention implementation and patient engagement.
Area of Science:
- Digital Health
- Health Services Research
- Artificial Intelligence in Healthcare
Background:
- Hypertension impacts 31% of adults globally, necessitating effective self-management tools.
- Artificial intelligence (AI)-based chatbots offer potential for chronic disease self-management.
- The Chronic Disease Management Program (CHAMP) integrates a patient chatbot and AI clinical decision support.
Purpose of the Study:
- To optimize CHAMP deployment in primary care settings.
- To develop and pilot test implementation strategies for CHAMP.
- To assess the appropriateness and effectiveness of CHAMP implementation.
Main Methods:
- A rapid evidence review on mobile health and chatbot implementation factors.
- A mixed-methods study assessing CHAMP deployment, organizational factors, and barriers/facilitators.
- Development of implementation strategies using established frameworks and behavioral science for chatbot message optimization.
Main Results:
- Evidence review protocol registered; screening in progress.
- Ethics approval obtained for Study 2; interviews with healthcare providers and leadership completed.
- Awaiting IRB approval for patient interviews in Study 2.
Conclusions:
- Study findings will guide CHAMP's further implementation and scale-up in Singapore.
- Successful digital health interventions can enhance healthcare delivery without overburdening systems.
- Optimizing AI chatbot engagement is key for chronic disease self-management support.
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 centers' leadership, and patient users and nonusers of CHAMP; conduct 1-day on-site visits to primary care centers; and assess the readiness to change among HCPs using validated questionnaires. Study 3 involves the development of implementation strategies for the implementation of CHAMP in primary care centers. We will develop a process map informed by the findings of studies 1 and 2 to outline the patient journey; map the barriers and facilitators influencing the implementation of CHAMP; and develop a set of implementation strategies to effectively implement CHAMP using the Expert Recommendations for Implementing Change taxonomy to define the implementation strategies and the action, actor, context, target, and time framework to define the strategy implementation processes. In parallel, we will use evidence-based behavioral science to test variations of the chatbot's messages to increase patient engagement.
Results:
To date, the evidence review protocol (study 1) has been registered on PROSPERO. We have completed title and abstract screening and are in the full-text screening phase. For study 2, we obtained ethics approval and conducted the semistructured interviews with HCPs, primary care centers' leadership, and members of the CHAMP development and initial implementation team. We are awaiting institutional review board approval to start the interviews with patients.
Conclusions:
The study results will inform the further implementation and scale-up of CHAMP across primary care centers in Singapore. Successful implementation of digital health interventions to support self-management of chronic disorders may improve health care delivery without further straining health care systems.
Trial Registration:
PROSPERO CRD42024613653; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024613653.
International Registered Report Identifier (Irrid):
DERR1-10.2196/72942.
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