Kennedy Carol A, Haines Ted, Beaton Dorcas E
Institute for Work & Health, Mobility Program Clinical Research Unit, Martin Family Arthritis Care and Research Centre, St Michael's Hospital, and Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada.
J Clin Epidemiol. 2006 May;59(5):485-96. doi: 10.1016/j.jclinepi.2005.09.003. Epub 2006 Feb 14.
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.
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.
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.
Using a clinically sensible outcome, we have identified several predictors that can be used by clinicians in clinical decision making.
