Literature DB >> 23030585

Pulmonary rehabilitation in chronic obstructive pulmonary disease: predictors of program completion and success.

Anne-Marie Selzler1, Lindsay Simmonds, Wendy M Rodgers, Eric Y L Wong, Michael K Stickland.   

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.

Entities:  

Mesh:

Year:  2012        PMID: 23030585     DOI: 10.3109/15412555.2012.705365

Source DB:  PubMed          Journal:  COPD        ISSN: 1541-2563            Impact factor:   2.409


  18 in total

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Authors:  Gabriela R Oates; Soumya J Niranjan; Corilyn Ott; Isabel C Scarinci; Christopher Schumann; Trisha Parekh; Mark T Dransfield
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3.  Using a virtual game system to innovate pulmonary rehabilitation: safety, adherence and enjoyment in severe chronic obstructive pulmonary disease.

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4.  Depressed mood predicts pulmonary rehabilitation completion among women, but not men.

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Journal:  Respir Med       Date:  2014-04-26       Impact factor: 3.415

5.  Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review.

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6.  An evaluation of factors associated with completion and benefit from pulmonary rehabilitation in COPD.

Authors:  Afroditi K Boutou; Rebecca J Tanner; Victoria M Lord; Lauren Hogg; Jane Nolan; Helen Jefford; Evelyn J Corner; Christine Falzon; Cassandra Lee; Rachel Garrod; Michael I Polkey; Nicholas S Hopkinson
Journal:  BMJ Open Respir Res       Date:  2014-11-03

7.  The use of the practice walk test in pulmonary rehabilitation program: National COPD Audit Pulmonary Rehabilitation Workstream.

Authors:  Ali Hakamy; Tricia M McKeever; Michael C Steiner; C Michael Roberts; Sally J Singh; Charlotte E Bolton
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-09-08

8.  Physical frailty and pulmonary rehabilitation in COPD: a prospective cohort study.

Authors:  Matthew Maddocks; Samantha S C Kon; Jane L Canavan; Sarah E Jones; Claire M Nolan; Alex Labey; Michael I Polkey; William D-C Man
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Authors:  Angel T Brown; Jason Hitchcock; Christopher Schumann; J Michael Wells; Mark T Dransfield; Surya P Bhatt
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-02-25

10.  The recording and characteristics of pulmonary rehabilitation in patients with COPD using The Health Information Network (THIN) primary care database.

Authors:  Ali Hakamy; Tricia M McKeever; Jack E Gibson; Charlotte E Bolton
Journal:  NPJ Prim Care Respir Med       Date:  2017-10-11       Impact factor: 2.871

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