Design and Validation of a Computer Application for Diagnosis of Shoulder Locomotor System Pathology
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Objectives: To design and validate a computer application for the diagnosis of shoulder locomotor system pathology. Meth-ods: The first phase involved the construction of the application using the Delphi method. In the second phase, the applica-tion was validated with a sample of 250 patients with shoulder pathology. Validity was measured for each diagnostic group using sensitivity, specificity, and positive and negative likelihood ratio (LR(+) and LR(–)). The correct classification ratio (CCR) for each patient and the factors related to worse classification were calculated using multivariate binary logistic regres-sion (odds ratio, 95% confidence interval). Results: The mean time to complete the application was 15 ± 7 minutes. The va-lidity values were the following: LR(+) 7.8 and LR(–) 0.1 for cervical radiculopathy, LR(+) 4.1 and LR(–) 0.4 for glenohumeral arthrosis, LR(+) 15.5 and LR(–) 0.2 for glenohumeral instability, LR(+) 17.2 and LR(–) 0.2 for massive rotator cuff tear, LR(+) 6.2 and LR(–) 0.2 for capsular syndrome, LR(+) 4.0 and LR(–) 0.3 for subacromial impingement/rotator cuff tendinopathy, and LR(+) 2.5 and LR(–) 0.6 for acromioclavicular arthropathy. A total of 70% of the patients had a CCR greater than 85%. Factors that negatively affected accuracy were massive rotator cuff tear, acromioclavicular arthropathy, age over 55 years, and high pain intensity (p < 0.05). Conclusions: The developed application achieved an acceptable validity for most pathologies. Because the tool had a limited capacity to identify the full clinical picture in the same patient, improvements and new studies applied to other groups of patients are required.
Is part ofHealthcare informatics research, 2019, vol. 25, núm. 2, p. 82-88
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Except where otherwise noted, this item's license is described as cc-by-nc, (c) The Korean Society of Medical Informatics
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