Related Experiment Video
Updated: May 9, 2026
12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A mini-program for high-risk of stroke population management using the intervention mapping approach: design,
Mengxia Chen1,2, Dongmei Li3, Bing Yu1,4
1Education and Scientific Research Department of Clinical Nursing, The First Affiliated Hospital of Naval Medical University, Changhai Hospital, 200433, Shanghai, China.
BMC Public Health
|May 7, 2026
Summary
This study developed UHEALTH, a mobile health mini-program, to improve health behaviors in stroke high-risk populations. The Intervention Mapping framework guided its creation, showing promising feasibility and user satisfaction.
Area of Science:
- Digital Health
- Health Behavior Interventions
- Stroke Prevention
Background:
- Improving health behavior is key for stroke prevention, but managing risk factors in high-risk populations is challenging.
- Mobile health (mHealth) offers accessible solutions, yet interventions often lack theoretical grounding.
- This study addresses the need for theory-driven mHealth development in stroke prevention.
Purpose of the Study:
- To describe the development of a WeChat-based mini-program called UHEALTH.
- To utilize the Intervention Mapping (IM) framework for theory-driven design.
- To evaluate the usability and feasibility of the UHEALTH mini-program.
Main Methods:
- Intervention Mapping (IM) steps 1-4 were followed, including needs assessment via interviews.
- The COM-B framework informed the development of change objectives and target behaviors.
- Usability was assessed using the mHealth App Usability Questionnaire (MAUQ) and qualitative interviews.
Main Results:
- The UHEALTH mini-program was developed with modules for patients and health providers, including risk assessment and online consultation.
- High user satisfaction was reported, with favorable MAUQ scores for both health providers and stroke high-risk populations (SHP).
- Qualitative feedback indicated improved communication and management efficiency compared to traditional methods.
Conclusions:
- UHEALTH, a comprehensive mini-program, was designed and developed for SHP using the IM framework.
- The study demonstrates UHEALTH's feasibility and high user-reported usability for improving health behaviors.
- This mHealth approach shows potential for enhancing stroke prevention strategies.
