Voorheis Paula, Wong Julia Victoria, Lazarevic Natasa, Imtiaz Bisma, Bhuiya Aunima, Steele Gray Carolyn
Science of Care Institute, Hennick Bridgepoint Hospital, Sinai Health, Toronto, ON, Canada.
Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
J Diabetes Sci Technol. 2025 May 8:19322968251334396. doi: 10.1177/19322968251334396.
INTRODUCTION: Solutions to support disease self-management and health-related behavior changes require a deep understanding of patient experiences, needs, and challenges across the care journey. Journey mapping (JM) and service blueprinting (SB) are valuable tools for visualizing user experiences and system processes over time. This scoping review explores how JM/SBs have been applied to design digitally enabled interventions targeting health-related behaviors among patients and the public. METHODS: The JBI reviewer manual was used to guide the review. Studies were sourced from Embase, Psych Info, PubMed, Medline, Web of Science, and Scopus. Inclusion criteria required studies to describe how JM/SBs informed the design of a digitally enabled health innovation that aimed to impact health or health care-related behaviors of patients or the public. A two-level screening process and iterative data extraction were applied. RESULTS: A total of 28 studies met the inclusion criteria, with a majority published between 2019 and 2024. The JM/SBs rarely used behavioral science theory and were structured, organized, and presented in diverse ways. Most studies designed their digital health behavior change innovations by using JM/SB to identify relevant innovation touchpoints across the patient journey. Patients frequently participated in the digital health behavior change innovation design process, with JM/SBs often serving as sensemaking tools. Innovations tended to address multifaceted health service problems through multimodal, digitally enabled solutions. CONCLUSIONS: JM/SBs are emerging as versatile tools to help digital health innovations to conduct user research, engage diverse partners, identify complex problems, and ideate creative solutions. However, limited integration of behavioral science theory indicates an area for future exploration.
引言:支持疾病自我管理和与健康相关行为改变的解决方案需要深入了解患者在整个护理过程中的经历、需求和挑战。旅程映射(JM)和服务蓝图绘制(SB)是随着时间推移可视化用户体验和系统流程的宝贵工具。本范围综述探讨了JM/SB如何应用于设计针对患者和公众中与健康相关行为的数字化干预措施。 方法:使用JBI综述手册指导本次综述。研究来源为Embase、Psych Info、PubMed、Medline、Web of Science和Scopus。纳入标准要求研究描述JM/SB如何为旨在影响患者或公众的健康或医疗相关行为的数字化健康创新设计提供信息。应用了两级筛选过程和迭代数据提取方法。 结果:共有28项研究符合纳入标准,大多数研究发表于2019年至2024年之间。JM/SB很少使用行为科学理论,且其结构、组织和呈现方式多种多样。大多数研究通过使用JM/SB来识别患者旅程中的相关创新接触点,从而设计其数字健康行为改变创新。患者经常参与数字健康行为改变创新设计过程,JM/SB通常充当意义建构工具。创新倾向于通过多模式、数字化支持的解决方案来解决多方面的健康服务问题。 结论:JM/SB正在成为多功能工具,以帮助数字健康创新进行用户研究、吸引不同合作伙伴、识别复杂问题并构思创造性解决方案。然而,行为科学理论的整合有限,这表明这是一个未来有待探索的领域。
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