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应用程序提供的腰痛患者自我管理干预试验selfBACK:实施与过程评估方案

App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation.

作者信息

Rasmussen Charlotte Diana Nørregaard, Svendsen Malene Jagd, Wood Karen, Nicholl Barbara I, Mair Frances S, Sandal Louise Fleng, Mork Paul Jarle, Søgaard Karen, Bach Kerstin, Stochkendahl Mette Jensen

机构信息

National Research Centre for the Working Environment, Copenhagen, Denmark.

Department of Sports Science and Clinical Biomechanics, University of Denmark, Odense M, Denmark.

出版信息

JMIR Res Protoc. 2020 Oct 29;9(10):e20308. doi: 10.2196/20308.

DOI:10.2196/20308
PMID:33118959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7661240/
Abstract

BACKGROUND

Implementation and process evaluation is vital for understanding how interventions function in different settings, including if and why interventions have different effects or do not work at all.

OBJECTIVE

This paper presents the protocol for an implementation and process evaluation embedded in a multicenter randomized controlled trial conducted in Denmark and Norway (the selfBACK project). selfBACK is a data-driven decision support system that provides participants with weekly self-management plans for low back pain. These plans are delivered through a smartphone app and tailored to individual participants by using case-based reasoning methodology. In the trial, we compare selfBACK in addition to usual care with usual care alone.

METHODS

The aim of this study is to conduct a convergent mixed-methods implementation and process evaluation of the selfBACK app by following the reach, effectiveness, adoption, implementation, and maintenance framework. We will evaluate the process of implementing selfBACK and investigate how participants use the intervention in daily life. The evaluation will also cover the reach of the intervention, health care provider willingness to adopt it, and participant satisfaction with the intervention. We will gather quantitative measures by questionnaires and measures of data analytics on app use and perform a qualitative exploration of the implementation using semistructured interviews theoretically informed by normalization process theory. Data collection will be conducted between March 2019 and October 2020.

RESULTS

The trial opened for recruitment in February 2019. This mixed-methods implementation and evaluation study is embedded in the randomized controlled trial and will be collecting data from March 2019 to October 2020; dissemination of trial results is planned thereafter. The results from the process evaluation are expected 2021-2022.

CONCLUSIONS

This study will provide a detailed understanding of how self-management of low back pain can be improved and how a digital health intervention can be used as an add-on to usual care to support patients to self-manage their low back pain. We will provide knowledge that can be used to explore the possibilities of extending the generic components of the selfBACK system and key drivers that could be of use in other conditions and diseases where self-management is an essential prevention or treatment strategy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03798288; https://www.clinicaltrials.gov/ct2/show/NCT03798288.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/20308.

摘要

背景

实施与过程评估对于理解干预措施在不同环境中的作用至关重要,包括干预措施是否以及为何会产生不同效果或根本不起作用。

目的

本文介绍了一项嵌入在丹麦和挪威进行的多中心随机对照试验(selfBACK项目)中的实施与过程评估方案。selfBACK是一个数据驱动的决策支持系统,为参与者提供针对腰痛的每周自我管理计划。这些计划通过智能手机应用程序提供,并使用基于案例的推理方法为个体参与者量身定制。在试验中,我们将selfBACK联合常规护理与单纯常规护理进行比较。

方法

本研究的目的是遵循覆盖范围、有效性、采用率、实施情况和维持情况框架,对selfBACK应用程序进行收敛性混合方法实施与过程评估。我们将评估selfBACK的实施过程,并调查参与者在日常生活中如何使用该干预措施。评估还将涵盖干预措施的覆盖范围、医疗保健提供者采用它的意愿以及参与者对该干预措施的满意度。我们将通过问卷调查和应用程序使用情况的数据分析措施收集定量数据,并使用基于规范过程理论的半结构化访谈对实施情况进行定性探索。数据收集将于2019年3月至2020年10月进行。

结果

该试验于2019年2月开始招募。这项混合方法实施与评估研究嵌入在随机对照试验中,将于2019年3月至2020年10月收集数据;之后计划公布试验结果。过程评估结果预计在2021 - 2022年得出。

结论

本研究将详细了解如何改善腰痛的自我管理,以及如何将数字健康干预作为常规护理的补充,以支持患者自我管理腰痛。我们将提供可用于探索扩展selfBACK系统通用组件可能性的知识,以及可用于其他自我管理是重要预防或治疗策略的病症和疾病的关键驱动因素。

试验注册

ClinicalTrials.gov NCT03798288;https://www.clinicaltrials.gov/ct2/show/NCT03798288。

国际注册报告标识符(IRRID):DERR1 - 10.2196/20308。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b94a/7661240/919d10e2ac53/resprot_v9i10e20308_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b94a/7661240/919d10e2ac53/resprot_v9i10e20308_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b94a/7661240/919d10e2ac53/resprot_v9i10e20308_fig1.jpg

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JMIR Res Protoc. 2019 Dec 3;8(12):e14720. doi: 10.2196/14720.
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Intervention Mapping: Theory- and Evidence-Based Health Promotion Program Planning: Perspective and Examples.干预映射:基于理论和证据的健康促进项目规划:视角与实例
Front Public Health. 2019 Aug 14;7:209. doi: 10.3389/fpubh.2019.00209. eCollection 2019.
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Digitally supported program for type 2 diabetes risk identification and risk reduction in real-world setting: protocol for the StopDia model and randomized controlled trial.
Do age, gender, and education modify the effectiveness of app-delivered and tailored self-management support among adults with low back pain?-Secondary analysis of the selfBACK randomised controlled trial.
年龄、性别和教育程度是否会改变应用程序提供的量身定制的自我管理支持对腰痛成年人的有效性?——selfBACK随机对照试验的二次分析。
PLOS Digit Health. 2023 Sep 22;2(9):e0000302. doi: 10.1371/journal.pdig.0000302. eCollection 2023 Sep.
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Exercise Prescription for the Work-Life Population and Beyond.面向工作生活人群及其他人群的运动处方。
J Funct Morphol Kinesiol. 2023 May 26;8(2):73. doi: 10.3390/jfmk8020073.
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One size does not fit all: Participants' experiences of the selfBACK app to support self-management of low back pain-a qualitative interview study.一刀切并不适用所有人:参与者使用 selfBACK 应用程序来支持腰痛自我管理的体验——一项定性访谈研究。
Chiropr Man Therap. 2022 Oct 3;30(1):41. doi: 10.1186/s12998-022-00452-2.
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BMC Med. 2022 Feb 8;20(1):53. doi: 10.1186/s12916-022-02237-z.
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Metadata Correction: A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project.元数据校正:一种增强腰痛自我管理的决策支持系统:selfBACK项目方案
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