Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review.

IF 2.1 3区 医学 Q1 REHABILITATION
M Wassell, A Vitiello, K Butler-Henderson, K Verspoor, P McCann, H Pollard
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引用次数: 0

Abstract

Purpose: Through electronic health records (EHRs), musculoskeletal (MSK) therapists such as chiropractors and physical therapists, as well as occupational medicine physicians could collect data on many variables that can be traditionally challenging to collect in managing work-related musculoskeletal disorders (WMSDs). The review's objectives were to explore the extent of research using EHRs in predicting outcomes of WMSDs by MSK therapists.

Method: A systematic search was conducted in Medline, PubMed, CINAHL, and Embase. Grey literature was searched. 2156 unique papers were retrieved, of which 38 were included. Three themes were explored, the use of EHRs to predict outcomes to WMSDs, data sources for predicting outcomes to WMSDs, and adoption of standardised information for managing WMSDs.

Results: Predicting outcomes of all MSK disorders using EHRs has been researched in 6 studies, with only 3 focusing on MSK therapists and 4 addressing WMSDs. Similar to all secondary data source research, the challenges include data quality, missing data and unstructured data. There is not yet a standardised or minimum set of data that has been defined for MSK therapists to collect when managing WMSD. Further work based on existing frameworks is required to reduce the documentation burden and increase usability.

Conclusion: The review outlines the limited research on using EHRs to predict outcomes of WMSDs. It highlights the need for EHR design to address data quality issues and develop a standardised data set in occupational healthcare that includes known factors that potentially predict outcomes to help regulators, research efforts, and practitioners make better informed clinical decisions.

用于预测与工作相关的肌肉骨骼疾病结果的电子健康记录:范围综述》。
目的:通过电子健康记录(EHR),脊骨神经科医生和理疗师等肌肉骨骼(MSK)治疗师以及职业医学医生可以收集到许多变量的数据,而这些变量在管理与工作相关的肌肉骨骼疾病(WMSDs)时可能是传统上难以收集到的。综述的目的是探讨 MSK 治疗师使用电子病历预测 WMSDs 结果的研究程度:方法:在 Medline、PubMed、CINAHL 和 Embase 中进行了系统检索。还检索了灰色文献。共检索到 2156 篇论文,其中 38 篇被收录。研究探讨了三个主题:使用电子病历预测WMSDs的结果、预测WMSDs结果的数据来源以及采用标准化信息管理WMSDs:结果:使用电子病历预测所有 MSK 疾病的治疗效果的研究有 6 项,其中只有 3 项侧重于 MSK 治疗师,4 项针对 WMSDs。与所有二手数据源研究类似,面临的挑战包括数据质量、数据缺失和非结构化数据。目前还没有一个标准化或最低限度的数据集,供MSK治疗师在管理WMSD时收集。需要在现有框架的基础上进一步开展工作,以减轻记录负担并提高可用性:本综述概述了使用电子病历预测 WMSD 结果的有限研究。它强调了电子健康记录设计需要解决数据质量问题,并在职业医疗保健中开发标准化数据集,其中包括可能预测结果的已知因素,以帮助监管机构、研究工作和从业人员做出更明智的临床决策。
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来源期刊
CiteScore
5.80
自引率
12.10%
发文量
64
期刊介绍: The Journal of Occupational Rehabilitation is an international forum for the publication of peer-reviewed original papers on the rehabilitation, reintegration, and prevention of disability in workers. The journal offers investigations involving original data collection and research synthesis (i.e., scoping reviews, systematic reviews, and meta-analyses). Papers derive from a broad array of fields including rehabilitation medicine, physical and occupational therapy, health psychology and psychiatry, orthopedics, oncology, occupational and insurance medicine, neurology, social work, ergonomics, biomedical engineering, health economics, rehabilitation engineering, business administration and management, and law.  A single interdisciplinary source for information on work disability rehabilitation, the Journal of Occupational Rehabilitation helps to advance the scientific understanding, management, and prevention of work disability.
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