Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis.
Nawaf Almutairi, Elena Vlahu-Gjorgievska, Khin Than Win
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引用次数: 1
Abstract
Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement. Nevertheless, the extent to which the current mHealth applications are designed to engage patients in managing their chronic diseases is unclear. This paper aims to identify the Persuasive System Design (PSD) features present in current mHealth applications that increased the engagement of patients with chronic diseases. This review also aims to identify patient engagement-related outcomes of these features. This paper conducted a systematic literature review and meta-analysis to find relevant studies published from all years up to 2020 through six databases: PubMed, Scopus, Web of Science, Cinahl plus with full text, MEDLINE with full text, and Cochrane Library (Central register of controlled trials). The database search returned 4939 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 13. A qualitative content analysis was performed to identify PSD model features and their patient engagement-related outcomes. The quality assessment has been done through the Cochrane Risk of Bias tool for RCTs. The systematic literature review and meta-analysis identified eleven PSD features that can increase patient engagement through using mHealth applications. The identified PSD features have been shown to have various patient engagement-related outcomes. Behavior Change Techniques (BCTs) were combined with the identified PSD features. This paper identified persuasive features of mHealth application design that influence the engagement of patients with chronic diseases toward changing their behavior. The impact of these features is also analyzed in this review. The results show that an mHealth technology-mediated patient engagement model is needed.
患者参与目前被认为是医疗保健革命的基石，因为它对健康结果、健康行为和医疗保健成本产生了积极影响。患者参与的重点是通过提供知识、技能和信心为消费者提供个性化护理。移动健康（mHealth）应用程序是促进患者参与的创新手段。然而，目前mHealth应用程序旨在让患者参与管理其慢性病的程度尚不清楚。本文旨在确定当前mHealth应用中存在的说服系统设计（PSD）特征，这些特征增加了慢性病患者的参与度。这篇综述还旨在确定这些特征与患者参与相关的结果。本文进行了系统的文献综述和荟萃分析，通过PubMed、Scopus、Web of Science、Cinahl plus全文数据库、MEDLINE全文数据库和Cochrane Library（对照试验中央注册库）六个数据库查找截至2020年的相关研究。数据库搜索返回了4939篇文章；在应用纳入和排除标准后，最终审查的纳入文章数量为13篇。进行了定性内容分析，以确定PSD模型特征及其与患者参与相关的结果。通过随机对照试验的Cochrane偏倚风险工具进行了质量评估。系统文献综述和荟萃分析确定了11个PSD特征，这些特征可以通过使用mHealth应用程序来增加患者参与度。所识别的PSD特征已被证明具有各种与患者参与相关的结果。行为改变技术（BCTs）与已识别的PSD特征相结合。本文确定了mHealth应用程序设计的说服力特征，这些特征影响慢性病患者改变行为的参与度。本文还分析了这些特征的影响。结果表明，需要一个mHealth技术介导的患者参与模型。
期刊介绍：
Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus.
The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems.
Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects.
Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome.
Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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