Policy-Driven Digital Health Interventions for Health Promotion and Disease Prevention: A Systematic Review of Clinical and Environmental Outcomes.

IF 2.7 4区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Healthcare Pub Date : 2025-09-16 DOI:10.3390/healthcare13182319

Muhammad Faizan, Chaeyoon Han, Seung Won Lee

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Abstract

Objectives: This systematic review investigates clinical and environmental outcomes associated with policy-driven digital health interventions for health promotion and disease prevention. Methods: Following PRISMA 2020 guidelines, six databases (Scopus, Web of Science, PubMed, IEEE Xplore, ScienceDirect, and MDPI) were systematically searched for empirical studies published between January 2020 and June 2025, using keywords including "digital health," "telemedicine," "mHealth," "wearable," "AI," "environmental impact," and "sustainability." From 1038 unique records screened, 68 peer-reviewed studies met inclusion criteria and underwent qualitative thematic synthesis. Results: Results show digital health interventions such as telemedicine, mobile health (mHealth) apps, wearable devices, and artificial intelligence (AI) platforms improve healthcare accessibility, chronic disease management, patient adherence, and clinical efficiency. Environmentally, these interventions significantly reduce carbon emissions, hospital energy consumption, and medical waste. Conclusion: The studies lacked standardized environmental metrics and predominantly originated from high-income regions. Future research should prioritize the development of uniform sustainability indicators, broaden geographic representation, and integrate rigorous life-cycle assessments. Policymakers are encouraged to embed environmental considerations into digital health strategies to support resilient, sustainable healthcare systems globally.

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政策驱动的促进健康和疾病预防的数字健康干预：临床和环境结果的系统回顾。

目的：本系统综述调查了与促进健康和疾病预防的政策驱动的数字健康干预相关的临床和环境结果。方法：根据PRISMA 2020指南，系统检索了6个数据库（Scopus、Web of Science、PubMed、IEEE Xplore、ScienceDirect和MDPI），检索了2020年1月至2025年6月期间发表的实证研究，关键词包括“数字健康”、“远程医疗”、“移动健康”、“可穿戴”、“人工智能”、“环境影响”和“可持续性”。从筛选的1038份独特记录中，68份同行评议研究符合纳入标准，并进行了定性专题综合。结果：结果表明，远程医疗、移动医疗（mHealth）应用程序、可穿戴设备和人工智能（AI）平台等数字健康干预措施改善了医疗保健可及性、慢性病管理、患者依从性和临床效率。在环境方面，这些干预措施大大减少了碳排放、医院能源消耗和医疗废物。结论：这些研究缺乏标准化的环境指标，主要来自高收入地区。未来的研究应优先发展统一的可持续性指标，扩大地域代表性，并整合严格的生命周期评估。鼓励政策制定者将环境因素纳入数字卫生战略，以支持全球有弹性、可持续的卫生保健系统。

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来源期刊

Healthcare Medicine-Health Policy

CiteScore

3.50

自引率

7.10%

发文量

审稿时长

47 days

期刊介绍： Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.