| dc.contributor.author |
Bigordà Sagué, Albert |
| dc.contributor.author |
Trujillano Cabello, Javier |
| dc.contributor.author |
Ariza Carrió, Gemma |
| dc.contributor.author |
Campoy Guerrero, Carme |
| dc.date |
2020-03-09T11:39:39Z |
| dc.date |
2020-03-09T11:39:39Z |
| dc.date |
2019 |
| dc.identifier |
2093-3681 (Print) |
| dc.identifier |
2093-369X (Online) |
| dc.identifier |
http://hdl.handle.net/10459.1/68173 |
| dc.identifier |
https://doi.org/10.4258/hir.2019.25.2.82 |
| dc.identifier.uri |
http://hdl.handle.net/10459.1/68173 |
| dc.description |
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. |
| dc.description |
This research has received a grant from the Chartered Soci-ety of Physiotherapy in Catalonia (n. R04/13). |
| dc.language |
eng |
| dc.publisher |
Korean Society of Medical Informatics |
| dc.relation |
Reproducció del document publicat a https://doi.org/10.4258/hir.2019.25.2.82 |
| dc.relation |
Healthcare informatics research, 2019, vol. 25, núm. 2, p. 82-88 |
| dc.rights |
cc-by-nc, (c) The Korean Society of Medical Informatics |
| dc.rights |
http://creativecommons.org/licenses/by-nc/4.0/ |
| dc.rights |
info:eu-repo/semantics/openAccess |
| dc.subject |
Software |
| dc.subject |
Medical Informatics Applications |
| dc.subject |
Self-Examination |
| dc.subject |
Shoulder |
| dc.subject |
Sensitivity and Specificity |
| dc.title |
Design and Validation of a Computer Application for Diagnosis of Shoulder Locomotor System Pathology |
| dc.type |
info:eu-repo/semantics/article |
| dc.type |
info:eu-repo/semantics/publishedVersion |
