Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers' Compensation Claimants with Musculoskeletal Conditions.
Purpose The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions for patients with musculoskeletal disorders. The WATT categorizes patients based on individual characteristics according to likelihood of successful return...
| Publicado en: | Journal of Occupational Rehabilitation Vol. 30; no. 3; pp. 318 - 331 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144951454&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144951454 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10530487 JOR jtl: Journal of Occupational Rehabilitation issn: 10530487 maglogo: N pubinfo: dt: Sep2020 vid: 30 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 144951454 143999390 144951454 144951454 10.1007/s10926-019-09843-4 144951454 ppf: 318 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers' Compensation Claimants with Musculoskeletal Conditions. aug: au: Gross, Douglas P. Steenstra, Ivan A. Shaw, William Yousefi, Parnian Bellinger, Colin Zaïane, Osmar affil: Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, T6G 2G4, Edmonton, AB, Canada sug: subj: Worker's Compensation Occupational-Related Injuries Rehabilitation Muscle, Skeletal Injuries Rehabilitation, Vocational Decision Support Systems, Clinical Evaluation Algorithms Evaluation Human Validation Studies Machine Learning Sensitivity and Specificity Musculoskeletal Diseases Rehabilitation Prospective Studies Job Re-Entry Funding Source External Validity Descriptive Statistics Questionnaires Scales Short Form-36 Health Survey (SF-36) ROC Curve Data Analysis Software Adult Middle Age Male Female Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Purpose The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions for patients with musculoskeletal disorders. The WATT categorizes patients based on individual characteristics according to likelihood of successful return to work following rehabilitation. A previous validation showed acceptable classification accuracy, but we re-examined accuracy using a new dataset drawn from the same system 2 years later. Methods A population-based cohort design was used, with data extracted from a Canadian compensation database on workers considered for rehabilitation between January 2013 and December 2016. Data were obtained on demographic, clinical, and occupational characteristics, type of rehabilitation undertaken, and return to work outcomes. Analysis included classification accuracy statistics of WATT recommendations. Results The sample included 28,919 workers (mean age 43.9 years, median duration 56 days), of whom 23,124 experienced a positive outcome within 30 days following return to work assessment. Sensitivity of the WATT for selecting successful programs was 0.13 while specificity was 0.87. Overall accuracy was 0.60 while human recommendations were higher at 0.72. Conclusions Overall accuracy of the WATT for selecting successful rehabilitation programs declined in a more recent cohort and proved less accurate than human clinical recommendations. Algorithm revision and further validation is needed. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|