Development and Use of Mobile Messaging for Individuals With Musculoskeletal Pain Conditions: Scoping Review.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-08-14 DOI:10.2196/55625
Nigel Armfield, Rachel Elphinston, Jenna Liimatainen, Simone Scotti Requena, Chloe-Emily Eather, Sisira Edirippulige, Carrie Ritchie, Sarah Robins, Michele Sterling
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Abstract

Background: Population studies show that musculoskeletal conditions are a leading contributor to the total burden of healthy life lost, second only to cancer and with a similar burden to cardiovascular disease. Prioritizing the delivery of effective treatments is necessary, and with the ubiquity of consumer smart devices, the use of digital health interventions is increasing. Messaging is popular and easy to use and has been studied for a range of health-related uses, including health promotion, encouragement of behavior change, and monitoring of disease progression. It may have a useful role to play in the management and self-management of musculoskeletal conditions.

Objective: Previous reviews on the use of messaging for people with musculoskeletal conditions have focused on synthesizing evidence of effectiveness from randomized controlled trials. In this review, our objective was to map the musculoskeletal messaging literature more broadly to identify information that may inform the design of future messaging interventions and summarize the current evidence of efficacy, effectiveness, and economics.

Methods: Following a prepublished protocol developed using the Joanna Briggs Institute Manual for Evidence Synthesis, we conducted a comprehensive scoping review of the literature (2010-2022; sources: PubMed, CINAHL, Embase, and PsycINFO) related to SMS text messaging and app-based messaging for people with musculoskeletal conditions. We described our findings using tables, plots, and a narrative summary.

Results: We identified a total of 8328 papers for screening, of which 50 (0.6%) were included in this review (3/50, 6% previous reviews and 47/50, 94% papers describing 40 primary studies). Rheumatic diseases accounted for the largest proportion of the included primary studies (19/40, 48%), followed by studies on multiple musculoskeletal conditions or pain sites (10/40, 25%), back pain (9/40, 23%), neck pain (1/40, 3%), and "other" (1/40, 3%). Most studies (33/40, 83%) described interventions intended to promote positive behavior change, typically by encouraging increased physical activity and exercise. The studies evaluated a range of outcomes, including pain, function, quality of life, and medication adherence. Overall, the results either favored messaging interventions or had equivocal outcomes. While the theoretical underpinnings of the interventions were generally well described, only 4% (2/47) of the papers provided comprehensive descriptions of the messaging intervention design and development process. We found no relevant economic evaluations.

Conclusions: Messaging has been used for the care and self-management of a range of musculoskeletal conditions with generally favorable outcomes reported. However, with few exceptions, design considerations are poorly described in the literature. Further work is needed to understand and disseminate information about messaging content and message delivery characteristics, such as timing and frequency specifically for people with musculoskeletal conditions. Similarly, further work is needed to understand the economic effects of messaging and practical considerations related to implementation and sustainability.

International registered report identifier (irrid): RR2-10.1136/bmjopen-2021-048964.

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为肌肉骨骼疼痛患者开发和使用移动信息服务:范围审查。
背景:人口研究表明,肌肉骨骼疾病是造成健康寿命总损失的主要因素,仅次于癌症,与心血管疾病的负担相似。有必要优先考虑提供有效的治疗,而随着消费者智能设备的普及,数字健康干预措施的使用也在不断增加。信息传播既流行又易于使用,已被研究用于一系列与健康相关的用途,包括促进健康、鼓励行为改变和监测疾病进展。它在肌肉骨骼疾病的管理和自我管理方面可能会发挥有益的作用:之前有关针对肌肉骨骼疾病患者使用信息传递的综述主要集中在综合随机对照试验的有效性证据上。在本综述中,我们的目标是对肌肉骨骼信息传递文献进行更广泛的梳理,以确定可为未来信息传递干预措施的设计提供参考的信息,并总结目前有关疗效、有效性和经济性的证据:按照事先公布的使用《乔安娜-布里格斯研究所证据综合手册》制定的协议,我们对与针对肌肉骨骼疾病患者的短信和基于应用程序的消息相关的文献(2010-2022 年;来源:PubMed、CINAHL、Embase 和 PsycINFO)进行了全面的范围界定综述。我们使用表格、图表和叙述性摘要对研究结果进行了描述:我们共筛选出 8328 篇论文,其中 50 篇(0.6%)被纳入本综述(3/50,6% 为以往综述,47/50,94% 为描述 40 项主要研究的论文)。在纳入的主要研究中,风湿性疾病所占比例最大(19/40,48%),其次是关于多种肌肉骨骼疾病或疼痛部位的研究(10/40,25%)、背痛(9/40,23%)、颈部疼痛(1/40,3%)和 "其他"(1/40,3%)。大多数研究(33/40,83%)描述了旨在促进积极行为改变的干预措施,通常是通过鼓励增加体力活动和锻炼。这些研究评估了一系列结果,包括疼痛、功能、生活质量和服药依从性。总体而言,研究结果要么倾向于信息干预,要么结果不明确。虽然干预措施的理论基础一般都得到了很好的描述,但只有 4% 的论文(2/47)对信息干预措施的设计和开发过程进行了全面的描述。我们没有发现相关的经济评估:结论:信息已被用于一系列肌肉骨骼疾病的护理和自我管理,并取得了普遍良好的效果。然而,除少数例外情况外,文献中对设计考虑因素的描述很少。我们需要进一步了解和传播有关信息内容和信息传递特点的信息,如专门针对肌肉骨骼疾病患者的时间和频率。同样,还需要进一步了解信息传递的经济效应以及与实施和可持续性相关的实际考虑因素:RR2-10.1136/bmjopen-2021-048964.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
期刊最新文献
A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial. Implementation of a Technology-Based Mobile Obstetric Referral Emergency System (MORES): Qualitative Assessment of Health Workers in Rural Liberia. Evaluating the Sensitivity of Wearable Devices in Posttranscatheter Aortic Valve Implantation Functional Assessment. Using a Quality-Controlled Dataset From ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients: Retrospective Observational Study. Validity of a Consumer-Based Wearable to Measure Clinical Parameters in Patients With Chronic Obstructive Pulmonary Disease and Healthy Controls: Observational Study.
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