title: Pulmonary rehabilitation in chronic obstructive pulmonary disease: predictors of program completion and success.
abstract: Although participation in pulmonary rehabilitation (PR) improves the health outcomes in patients with Chronic Obstructive Pulmonary Disease (COPD), there are insufficient resources to provide PR to all patients with COPD. Thus, predicting which patients are at risk for drop-out and non-response to rehabilitation is necessary in order to optimize limited resources. This study examined which patient characteristics are predictive of PR drop-out and non-response. 814 patients with COPD took part in standard out-patient PR for 8 weeks. Demographic and standard clinical data were collected before the rehabilitation program had started. Data was analyzed retrospectively to determine if baseline patient characteristics could predict drop-out and non-response to rehabilitation. Drop-out was defined as participation in less than 50% of the rehabilitation sessions. Non-response was defined as improvement less than 4% on the St. George's Respiratory Questionnaire (SGRQ). A discriminant function analysis identified age, smoking history, and health status as predictors of patient drop-out, p < .0001, with younger, current smokers and patients with lower health status being at risk for drop-out. No variables measured significantly predicted who those at risk would be for non-response to rehabilitation, p > .05. Pulmonary function data did not predict drop-out or non-response to PR. These findings indicate that perceived impairment (i.e., health status) is more likely to influence completion of rehabilitation than actual pulmonary impairment and that demographic and standard clinical data do not adequately predict patient drop-out and non-response to rehabilitation.
authors.affiliation: Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada. aselzler@ualberta.ca
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Selzler
authors.forename: Lindsay
authors.initials: L
authors.lastname: Simmonds
authors.forename: Wendy M
authors.initials: WM
authors.lastname: Rodgers
authors.forename: Eric Y L
authors.initials: EY
authors.lastname: Wong
authors.forename: Michael K
authors.initials: MK
authors.lastname: Stickland
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D005260:Female; D005544:Forecasting; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D010349:Patient Compliance / Q000706:statistics & numerical data; D010352:Patient Dropouts / Q000706:statistics & numerical data*; D029424:Pulmonary Disease, Chronic Obstructive / Q000534:rehabilitation*; D012189:Retrospective Studies; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology; D017211:Treatment Failure; D016896:Treatment Outcome