Design and Validation of a Computer Application for Diagnosis of Shoulder Locomotor System Pathology / 대한의료정보학회지
Healthcare Informatics Research
;
: 82-88, 2019.
Article
in English
| WPRIM
| ID: wpr-740237
ABSTRACT
OBJECTIVES:
To design and validate a computer application for the diagnosis of shoulder locomotor system pathology.METHODS:
The first phase involved the construction of the application using the Delphi method. In the second phase, the application 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 regression (odds ratio, 95% confidence interval).RESULTS:
The mean time to complete the application was 15 ± 7 minutes. The validity 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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pathology
/
Radiculopathy
/
Shoulder
/
Tears
/
Medical Informatics Applications
/
Logistic Models
/
Self-Examination
/
Sensitivity and Specificity
/
Rotator Cuff
/
Classification
Type of study:
Diagnostic study
/
Prognostic study
/
Risk factors
Limits:
Humans
Language:
English
Journal:
Healthcare Informatics Research
Year:
2019
Type:
Article
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