title: Predictors of poor attendance at an outpatient pulmonary rehabilitation programme.
abstract: BACKGROUND
  Pulmonary rehabilitation (PR) is recommended for patients with respiratory disease who feel limited by breathlessness. Poor attendance wastes finite resources, increases waiting times and is probably associated with poorer clinical outcomes. We investigated what factors, identifiable from routine hospital data, predict poor attendance once enrolled in a pulmonary rehabilitation programme (PRP).
  
  
  METHODS
  Retrospective case note study of 239 patients (60% male) of mean (S.D.) age of 66.6 (8.7) years, mean FEV(1) 39.6 (14.6)% predicted, who attended a 6 (short) or 18 (long) week, 18 session, outpatient PRP. Attendance data was analysed using linear multiple regression analysis with the log transformed odds ratio of attendance as the dependant variable.
  
  
  RESULTS
  Overall median attendance was 16 out of 18 sessions. Being a current smoker (p<0.05), attending a long PRP (p<0.05), more previous hospital admissions (p<0.01), higher Medical Research Council (MRC) dyspnoea score (p<0.01) or enduring a long journey (p<0.001) were independent risk factors for low attendance. Lower body mass index (BMI) and distance from PR centre were of borderline importance (p<0.1) but age, gender, co-morbidity, respiratory diagnosis, FEV(1) and St. Georges Respiratory Questionnaire Score at baseline did not predict later attendance (p>0.2).
  
  
  CONCLUSIONS
  Attendance at PRPs is independently influenced by smoking status, the degree of breathlessness, frequency of hospital admissions, length of the programme and journey time.
authors.affiliation: Department of Respiratory Medicine, Cardiff University, Academic Centre, Llandough Hospital, Penarth, Vale of Glamorgan, CF64 2XX, UK.
authors.forename: Ramsey
authors.initials: R
authors.lastname: Sabit
authors.forename: Timothy L
authors.initials: TL
authors.lastname: Griffiths
authors.forename: Alan J
authors.initials: AJ
authors.lastname: Watkins
authors.forename: Wendy
authors.initials: W
authors.lastname: Evans
authors.forename: Charlotte E
authors.initials: CE
authors.lastname: Bolton
authors.forename: Dennis J
authors.initials: DJ
authors.lastname: Shale
authors.forename: Keir E
authors.initials: KE
authors.lastname: Lewis
mesh_terms: D000368:Aged; D001249:Asthma / Q000503:physiopathology / Q000534:rehabilitation*; D015992:Body Mass Index; D005260:Female; D005541:Forced Expiratory Volume; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D010044:Outpatient Clinics, Hospital / Q000706:statistics & numerical data*; D010342:Patient Acceptance of Health Care; D010349:Patient Compliance; D029424:Pulmonary Disease, Chronic Obstructive / Q000503:physiopathology / Q000534:rehabilitation*; D012189:Retrospective Studies; D012907:Smoking / Q000523:psychology; D013997:Time Factors; D014852:Wales