Suppr超能文献

肌肉骨骼数字评估路由工具的验证:一项试点随机交叉非劣效性试验方案

Validation of a Musculoskeletal Digital Assessment Routing Tool: Protocol for a Pilot Randomized Crossover Noninferiority Trial.

作者信息

Lowe Cabella, Hanuman Sing Harry, Marsh William, Morrissey Dylan

机构信息

Centre for Sports & Exercise Medicine, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom.

Risk and Information Systems Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom.

出版信息

JMIR Res Protoc. 2021 Dec 13;10(12):e31541. doi: 10.2196/31541.

Abstract

BACKGROUND

Musculoskeletal conditions account for 16% of global disability, resulting in a negative effect on millions of patients and an increasing demand for health care use. Digital technologies to improve health care outcomes and efficiency are considered a priority; however, innovations are rarely tested with sufficient rigor in clinical trials, which is the gold standard for clinical proof of safety and efficacy. We have developed a new musculoskeletal digital assessment routing tool (DART) that allows users to self-assess and be directed to the right care. DART requires validation in a real-world setting before implementation.

OBJECTIVE

This pilot study aims to assess the feasibility of a future trial by exploring the key aspects of trial methodology, assessing the procedures, and collecting exploratory data to inform the design of a definitive randomized crossover noninferiority trial to assess DART safety and effectiveness.

METHODS

We will collect data from 76 adults with a musculoskeletal condition presenting to general practitioners within a National Health Service (NHS) in England. Participants will complete both a DART assessment and a physiotherapist-led triage, with the order determined by randomization. The primary analysis will involve an absolute agreement intraclass correlation (A,1) estimate with 95% CI between DART and the clinician for assessment outcomes signposting to condition management pathways. Data will be collected to allow the analysis of participant recruitment and retention, randomization, allocation concealment, blinding, data collection process, and bias. In addition, the impact of trial burden and potential barriers to intervention delivery will be considered. The DART user satisfaction will be measured using the system usability scale.

RESULTS

A UK NHS ethics submission was done during June 2021 and is pending approval; recruitment will commence in early 2022, with data collection anticipated to last for 3 months. The results will be reported in a follow-up paper in 2022.

CONCLUSIONS

This study will inform the design of a randomized controlled crossover noninferiority study that will provide evidence concerning mobile health DART system clinical signposting in an NHS setting before real-world implementation. Success should produce evidence of a safe, effective system with good usability, potentially facilitating quicker and easier patient access to appropriate care while reducing the burden on primary and secondary care musculoskeletal services. This rigorous approach to mobile health system testing could be used as a guide for other developers of similar applications.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04904029; http://clinicaltrials.gov/ct2/show/NCT04904029.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/31541.

摘要

背景

肌肉骨骼疾病占全球残疾的16%,对数百万患者产生负面影响,并导致医疗保健需求不断增加。改善医疗保健结果和效率的数字技术被视为优先事项;然而,创新在临床试验中很少经过足够严格的测试,而临床试验是安全性和有效性临床证据的金标准。我们开发了一种新的肌肉骨骼数字评估路由工具(DART),可让用户进行自我评估并获得正确的护理指导。DART在实施前需要在现实环境中进行验证。

目的

这项试点研究旨在通过探索试验方法的关键方面、评估程序以及收集探索性数据,为确定的随机交叉非劣效性试验设计提供信息,以评估DART的安全性和有效性,从而评估未来试验的可行性。

方法

我们将从76名患有肌肉骨骼疾病并在英国国家医疗服务体系(NHS)内就诊于全科医生的成年人中收集数据。参与者将完成DART评估和物理治疗师主导的分诊,顺序由随机化决定。主要分析将涉及DART与临床医生之间关于评估结果(指向疾病管理途径)的组内相关系数(A,1)估计值及其95%置信区间。将收集数据以分析参与者的招募和留存情况、随机化、分配隐藏、盲法、数据收集过程和偏差。此外,还将考虑试验负担的影响以及干预实施的潜在障碍。将使用系统可用性量表来衡量DART用户的满意度。

结果

2021年6月已向英国NHS提交伦理申请,正在等待批准;预计2022年初开始招募,数据收集预计持续3个月。结果将在2022年的后续论文中报告。

结论

本研究将为随机对照交叉非劣效性研究的设计提供信息,该研究将在现实世界实施之前,提供关于NHS环境中移动健康DART系统临床路标指引的证据。成功的话应能提供一个具有良好可用性的安全、有效系统的证据,可能有助于患者更快、更轻松地获得适当护理,同时减轻初级和二级护理肌肉骨骼服务的负担。这种对移动健康系统进行严格测试的方法可作为其他类似应用开发者的指南。

试验注册

ClinicalTrials.gov NCT04904029;http://clinicaltrials.gov/ct2/show/NCT04904029。

国际注册报告识别码(IRRID):PRR1-10.2196/31541。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe23/8713101/a41625391b11/resprot_v10i12e31541_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验