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适用于远程患者监测的疾病无关平台的合适评估框架:范围综述

Suitable Evaluation Frameworks for Disease-Agnostic Platforms for Remote Patient Monitoring: Scoping Review.

作者信息

Yassaee Arrash, Reed Angus Bruno, Swanson Ben, Neves Ana Luísa, Hargreaves Dougal

机构信息

School of Public Health, Imperial College London, London, United Kingdom.

Huma Therapeutics, London, United Kingdom.

出版信息

J Med Internet Res. 2025 Jun 16;27:e68910. doi: 10.2196/68910.

DOI:10.2196/68910
PMID:40523267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12209728/
Abstract

BACKGROUND

Disease-agnostic platforms (DAPs) are a digital health intervention (DHI) category that can support patients across multiple clinical conditions. While their versatility and configurability can address the fragmentation caused by condition-specific DHIs, DAPs present challenges for evaluation and certification, as they must be assessed across multiple therapeutic areas and diverse applications. A core challenge is identifying suitable evaluation frameworks that can accommodate the highly adaptable nature of this technology.

OBJECTIVE

This review explored whether there are suitable evaluation frameworks for the appraisal and subsequent certification of DAPs, whether any were applied in previous evaluations of DHIs and were available through open access (OA) publications.

METHODS

Twelve databases (PubMed, Embase, PsycINFO, MEDLINE, Scopus, Web of Science, ACMDL, IEEE Xplore, CINAHL, Cochrane Library, Compendex, and Business Source Complete) were searched on January 28, 2024. Titles, abstracts, and full texts were screened by 1 reviewer, with a minimum 10% sample dual-screened. Inclusion criteria included describing an evaluation framework applied to a DHI. Studies were excluded if there was no novel evaluation framework available to researchers, applicable to digital health evaluation domains, and applicable to a broad patient population. Evaluation frameworks identified were combined with those identified from 5 previous reviews, alongside handsearching and gray literature results. Each framework was assessed against essential and desirable criteria. Essential criteria were applicability across different therapeutic areas and populations, applicability to all domains of digital health, ability to support both formative and summative evaluation, and availability to researchers. Frameworks that met all essential criteria were assessed against desirable criteria, which included presence of operational guidance, evidence of considerations specific to digital health, and incorporation of an evidence assessment method.

RESULTS

A total of 40,907 search results contained 72 new frameworks. These were combined with 181 frameworks identified from previous reviews and 1 framework from handsearching and gray literature. Of the 254 frameworks assessed, 15 met all essential criteria, indicating potential suitability for DAP evaluation. One framework, the WHO (World Health Organization) guideline on monitoring and evaluating DHIs, met all desirable criteria. All suitable frameworks had been applied to DHIs and were available in at least 1 OA publication.

CONCLUSIONS

We found that at least 15 existing frameworks appear suitable for DAP evaluation and can be used to benchmark DAPs against other DHIs. Limitations include potential bias from screening methods and underpinning reviews. Prior use of these frameworks in DHI evaluations and their availability in OA publications enables standardized, high-quality evaluation. Identification of suitable frameworks indicates that research efforts can focus on other outstanding questions related to DAP evaluation, including the acceptable performance benchmark for DAPs, the range of therapeutic areas DAPs need to be favorably evaluated in, and how to synthesize findings across multiple therapeutic areas.

TRIAL REGISTRATION

OSF Registries 10.17605/OSF.IO/X578S; https://osf.io/x578s.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9699/12209728/b4782707ab5c/jmir_v27i1e68910_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9699/12209728/b4782707ab5c/jmir_v27i1e68910_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9699/12209728/b4782707ab5c/jmir_v27i1e68910_fig1.jpg
摘要

背景

疾病无关平台(DAPs)是一种数字健康干预(DHI)类别,可支持患有多种临床病症的患者。虽然其通用性和可配置性能够解决特定病症DHI导致的碎片化问题,但DAPs在评估和认证方面存在挑战,因为必须在多个治疗领域和不同应用中对其进行评估。一个核心挑战是确定能够适应这项技术高度适应性的合适评估框架。

目的

本综述探讨是否存在适用于DAPs评估及后续认证的评估框架,以及是否有任何框架曾应用于先前的DHI评估并可通过开放获取(OA)出版物获取。

方法

于2024年1月28日检索了12个数据库(PubMed、Embase、PsycINFO、MEDLINE、Scopus、Web of Science、ACMDL、IEEE Xplore、CINAHL、Cochrane Library、Compendex和Business Source Complete)。由1名评审员筛选标题、摘要和全文,至少10%的样本进行双人筛选。纳入标准包括描述应用于DHI的评估框架。如果研究人员没有可用的新颖评估框架、不适用于数字健康评估领域或不适用于广泛的患者群体,则将其排除。确定的评估框架与之前5篇综述中确定的框架以及手工检索和灰色文献结果相结合。根据基本标准和理想标准对每个框架进行评估。基本标准包括适用于不同治疗领域和人群、适用于数字健康的所有领域、能够支持形成性评估和总结性评估以及研究人员可获取。符合所有基本标准的框架根据理想标准进行评估,理想标准包括是否存在操作指南、是否有针对数字健康的特定考虑因素的证据以及是否纳入了证据评估方法。

结果

总共40907条搜索结果包含72个新框架。这些框架与之前综述中确定的181个框架以及手工检索和灰色文献中的1个框架相结合。在评估的254个框架中,15个符合所有基本标准,表明可能适用于DAP评估。一个框架,即世界卫生组织(WHO)关于监测和评估DHI的指南,符合所有理想标准。所有合适的框架都已应用于DHI,并且至少在1篇OA出版物中可用。

结论

我们发现至少15个现有框架似乎适用于DAP评估,可用于将DAP与其他DHI进行比较。局限性包括筛选方法和基础综述可能存在的偏差。这些框架先前在DHI评估中的使用及其在OA出版物中的可用性有助于进行标准化、高质量的评估。确定合适的框架表明研究工作可以集中在与DAP评估相关的其他未解决问题上,包括DAP可接受的性能基准、需要对DAP进行良好评估的治疗领域范围以及如何综合多个治疗领域的研究结果。

试验注册

OSF注册库10.17605/OSF.IO/X578S;https://osf.io/x578s 。

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本文引用的文献

1
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2
Diagnostic stewardship in infectious diseases: a scoping review.传染病诊断管理:范围综述。
J Med Microbiol. 2024 May;73(5). doi: 10.1099/jmm.0.001831.
3
Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice.通过症状检查人工智能支持初级保健:意大利普通实践中患者和医生态度的研究。
BMC Prim Care. 2023 Sep 4;24(1):174. doi: 10.1186/s12875-023-02143-0.
4
Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework.采用证据DEFINED框架对数字健康进行严格快速的证据评估。
NPJ Digit Med. 2023 May 31;6(1):101. doi: 10.1038/s41746-023-00836-5.
5
The State of Telehealth Before and After the COVID-19 Pandemic.新冠疫情前后的远程医疗状况。
Prim Care. 2022 Dec;49(4):517-530. doi: 10.1016/j.pop.2022.04.002. Epub 2022 Apr 25.
6
The updated Consolidated Framework for Implementation Research based on user feedback.基于用户反馈的更新的实施研究综合框架。
Implement Sci. 2022 Oct 29;17(1):75. doi: 10.1186/s13012-022-01245-0.
7
Use of Telemedicine in Pediatric Services for 4 Representative Clinical Conditions: Scoping Review.远程医疗在儿科服务中用于 4 种代表性临床情况的使用:范围综述。
J Med Internet Res. 2022 Oct 26;24(10):e38267. doi: 10.2196/38267.
8
Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study.评估新的预筛选评分,以简化评估电子健康应用程序的临床质量和相关性:工具验证研究。
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9
Assessing the Clinical Robustness of Digital Health Startups: Cross-sectional Observational Analysis.评估数字健康创业公司的临床稳健性:横断面观察性分析。
J Med Internet Res. 2022 Jun 20;24(6):e37677. doi: 10.2196/37677.
10
Mobile Health (m-Health) in Retrospect: The Known Unknowns.移动医疗(m-Health)回眸:已知的未知。
Int J Environ Res Public Health. 2022 Mar 22;19(7):3747. doi: 10.3390/ijerph19073747.