Generalizability of a Musculoskeletal Therapist Electronic Health Record for Modelling Outcomes to Work-Related Musculoskeletal Disorders

被引:0
作者
Wassell, M. [1 ]
Vitiello, A. [2 ]
Butler-Henderson, K. [3 ]
Verspoor, K. [1 ]
Pollard, H. [4 ]
机构
[1] RMIT Univ, Sch Comp Technol, Melbourne, Australia
[2] Cent Queensland Univ, Sch Hlth Med & Appl Sci, Bundaberg, Qld, Australia
[3] RMIT Univ, STEM Hlth & Biomed Sci, Melbourne, Australia
[4] Durban Univ Technol, Fac Hlth Sci, Durban, South Africa
关键词
Electronic health records; Occupational injuries; Occupational health physicians; Rehabilitation; Chiropractic; Musculoskeletal diseases; LONG-TERM DISABILITY; RETURN; INJURIES; REHABILITATION; VALIDATION; FAILURE;
D O I
10.1007/s10926-024-10196-w
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Purpose Electronic Health Records (EHRs) can contain vast amounts of clinical information that could be reused in modelling outcomes of work-related musculoskeletal disorders (WMSDs). Determining the generalizability of an EHR dataset is an important step in determining the appropriateness of its reuse. The study aims to describe the EHR dataset used by occupational musculoskeletal therapists and determine whether the EHR dataset is generalizable to the Australian workers' population and injury characteristics seen in workers' compensation claims.Methods Variables were considered if they were associated with outcomes of WMSDs and variables data were available. Completeness and external validity assessment analysed frequency distributions, percentage of records and confidence intervals.Results There were 48,434 patient care plans across 10 industries from 2014 to 2021. The EHR collects information related to clinical interventions, health and psychosocial factors, job demands, work accommodations as well as workplace culture, which have all been shown to be valuable variables in determining outcomes to WMSDs. Distributions of age, duration of employment, gender and region of birth were mostly similar to the Australian workforce. Upper limb WMSDs were higher in the EHR compared to workers' compensation claims and diagnoses were similar.Conclusion The study shows the EHR has strong potential to be used for further research into WMSDs as it has a similar population to the Australian workforce, manufacturing industry and workers' compensation claims. It contains many variables that may be relevant in modelling outcomes to WMSDs that are not typically available in existing datasets.
引用
收藏
页码:125 / 138
页数:14
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  • [31] Razmjou H., 2018, J ORTHOPAED PHYSIOTH, V1, P1, DOI DOI 10.15744/2639-930X.1.101
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  • [33] Characteristics of Claimants on Long-Term Disability Benefits a Year After Report of an Occupational Injury
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  • [34] Association of Returning to Work With Better Health in Working-Aged Adults: A Systematic Review
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    Mustard, Cameron
    Rourke, Sean B.
    Bayoumi, Ahmed
    Raboud, Janet
    Lavis, John
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 2012, 102 (03) : 541 - 556
  • [35] Safe Work Australia, 2023, OUR DAT YOUR STOR
  • [36] Leveraging electronic health records for data science: common pitfalls and how to avoid them
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  • [37] Generalizability of an EHR-network dataset to the United States for cardiovascular disease conditions: Comparison of Cerner real world data with the national inpatient sample
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  • [38] Early disability risk factors for low back pain assessed at outpatient occupational health clinics
    Shaw, WS
    Pransky, G
    Patterson, W
    Winters, T
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  • [39] Who will have Sustainable Employment After a Back Injury? The Development of a Clinical Prediction Model in a Cohort of Injured Workers
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    Delclos, George
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