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探索数字健康干预中人类、人工智能和混合健康指导的系统评价:趋势、参与度和生活方式结果。

Systematic review exploring human, AI, and hybrid health coaching in digital health interventions: trends, engagement, and lifestyle outcomes.

作者信息

Loughnane Croía, Laiti Justin, O'Donovan Róisín, Dunne Pádraic J

机构信息

Centre for Positive Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.

出版信息

Front Digit Health. 2025 Apr 24;7:1536416. doi: 10.3389/fdgth.2025.1536416. eCollection 2025.

Abstract

INTRODUCTION

Digital Health Interventions (DHIs) have been identified as a solution to the United Nations Sustainable Development Goals (SDG3) for health promotion and prevention. However, DHIs face criticism for shallow and transactional engagement and retention challenges. Integrating DHIs with health coaching represents a promising solution that might address these issues by combining the scalable and accessible nature of DHIs with the meaningful and engaging nature of health coaching. This systematic review aims to synthesise existing peer-reviewed research on coach-facilitated DHIs to understand how digital health coaching is being used in DHIs and the impact it has on engagement and lifestyle outcomes.

METHODS

Studies examining DHIs with a coaching component addressing lifestyle outcomes were included. A search of APA PsychINFO, Medline, Web of Science, and Scopus was performed from inception to February 2025. Three authors conducted the study selection, quality appraisal using the Mixed Methods Appraisal Tool (MMAT), and data extraction. Data extraction captured study characteristics, coaching features, participant engagement, and lifestyle outcomes.

RESULTS

Thirty-five studies were identified and synthesised using a narrative synthesis approach. This review highlights three coaching modalities in DHIs: digital human coaching, Artificial Intelligence (AI) coaching, and hybrid (human-AI) coaching. All coaching modalities demonstrated feasibility and acceptability.

DISCUSSION

While both human and AI coaching have shown a positive impact on both engagement and lifestyle outcomes, hybrid approaches need further refinement to harness AI's scalability and the depth of human coaching. However, the variability of engagement metrics and coaching protocols limited study comparability. Standardising how engagement and coaching delivery are measured and contextualised is crucial for advancing evidence-based digital health coaching. This review followed PRISMA guidelines and was registered in PROSPERO (Registration number: CRD42022363279). The Irish Research Council supported this work.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/PROSPERO/view/CRD42022363279, identifier: CRD42022363279.

摘要

引言

数字健康干预措施(DHIs)已被视为实现联合国促进健康和预防疾病可持续发展目标(SDG3)的一种解决方案。然而,数字健康干预措施面临着参与度浅薄、缺乏深度互动以及留存率方面的挑战等批评。将数字健康干预措施与健康指导相结合是一种很有前景的解决方案,它或许可以通过将数字健康干预措施的可扩展性和易获取性与健康指导的有意义性和吸引力相结合来解决这些问题。本系统评价旨在综合现有关于由教练辅助的数字健康干预措施的同行评审研究,以了解数字健康指导在数字健康干预措施中的应用方式及其对参与度和生活方式结果的影响。

方法

纳入研究数字健康干预措施且其中的指导部分涉及生活方式结果的研究。从数据库创建之初至2025年2月,对美国心理学会心理学文摘数据库(APA PsychINFO)、医学文献数据库(Medline)、科学引文索引数据库(Web of Science)和Scopus数据库进行了检索。三位作者进行了研究筛选、使用混合方法评价工具(MMAT)进行质量评估以及数据提取。数据提取涵盖了研究特征、指导特点、参与者参与度和生活方式结果。

结果

共识别并综合了35项研究,采用叙述性综合方法。本综述突出了数字健康干预措施中的三种指导模式:数字人工指导、人工智能(AI)指导和混合(人工 - 人工智能)指导。所有指导模式均显示出可行性和可接受性。

讨论

虽然人工指导和人工智能指导对参与度和生活方式结果均显示出积极影响,但混合方法需要进一步完善,以充分利用人工智能的可扩展性和人工指导的深度。然而,参与度指标和指导方案的变异性限制了研究的可比性。标准化参与度和指导实施的测量方法以及背景情况对于推进基于证据的数字健康指导至关重要。本综述遵循了系统评价和Meta分析的首选报告项目(PRISMA)指南,并已在国际前瞻性系统评价注册库(PROSPERO)注册(注册号:CRD42022363279)。爱尔兰研究委员会支持了这项工作。

系统评价注册

https://www.crd.york.ac.uk/PROSPERO/view/CRD42022363279,标识符:CRD42022363279

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df52/12058678/ccf3b87541a8/fdgth-07-1536416-g001.jpg

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