Eight predictive factors associated with response patterns during physiotherapy for soft tissue shoulder disorders were identified

Abstract 

Background and Objective

Combining information on initial and final state with information on speed of response may reflect the clinical reality of the course of recovery from soft tissue shoulder disorders. The purpose was to identify baseline factors that predict patterns of response to physiotherapy.

Study Design and Setting

Prospective cohort of consecutive clients (n = 361) with soft tissue shoulder disorders attending physiotherapy. A previous study identified four typical patterns of response such that each individual was assigned to one of four clusters (dependent outcome). Independent predictors (n = 28) included demographics, disorder-related and disability measures, treatment factors, clinical findings, and expectations for recovery. Multivariable multinomial logistic regression techniques were used.

Results

Predictors differentiating patterns of response were: Age (by decade), duration of current shoulder problem, worker's compensation claim, client's global rating of problem, Physical Component Score (SF-36), Mental Component Score (SF-36), over the counter medication use, and therapist prediction of client to return to usual activity.

Conclusion

Using a clinically sensible outcome, we have identified several predictors that can be used by clinicians in clinical decision making.

Keywords: Prognosis, Shoulder, Shoulder pain, Soft tissue injuries, Logistic models