Can the QuickDASH Score at the Time of Initial Assessment Predict Recommendation for Surgery in Patients with Shoulder Pain
Year: 2019
Type: dissertation
Study design: Observational Study
Abstract: The causes and consequences of shoulder pain are diverse, resulting in inappropriate referral for surgical assessment and long surgical wait times. This work assessed whether the QuickDASH questionnaire could predict surgeons’ recommendation for surgery at consultation, and thus inform patient triage. Data were collected from an historical cohort of shoulder pain patients referred to an upper extremity surgical clinic. Guided by the Andersen model of healthcare utilization, the predictive validity of the QuickDASH score was assessed alone and in combination with additional predisposing, enabling and need variables. In 507 patients, surgeon recommendation could not be predicted by QuickDASH score alone, but QuickDASH scores significantly predicted the likelihood of receiving a recommendation for surgery after controlling for age, sex, symptom duration and pathology on imaging (OR 1.02, 1.004-1.03). This work shows the QuickDASH score in combination with additional patient factors may be useful to aid patient triage. Additional research is warranted.
Source: TSpace (University of Toronto)
Author: Christopher Hawke
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3035838000