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Table 1 Variables for use in economic analysis (with level of completeness)

From: Do the methods used to analyse missing data really matter? An examination of data from an observational study of Intermediate Care patients

Variable Description Missing (%)
Episode Characteristics   
Age Age on 01/01/03 3
Gender 1 = female , 0 = Male 2
Live alone 1 = Individual lives alone, 0 = Otherwise 9
Barthel – Start Barthel Score at start of IC episode 31
Barthel – End Barthel Score at end of IC episode 38
EQ5D – Start EQ-5D at start of IC episode 40
EQ5D – End EQ-5D at end of IC episode 41
Change in ED-5D Difference between EQ-5D score at end and at start of IC episode 42
Change in Barthel Difference between Barthel score at end and at start of IC episode 41
Cost Cost per patient 38
Descriptors of IC Services   
  Type of service required 3
Admission Avoidance service 1 = Acute Admission Avoidance service, 0 = Otherwise  
Supported Discharge service 1 = Supported discharge service, 0 = Otherwise  
Other Service 1 = Other IC Services, 0 = Otherwise  
Type of IC 1 = Residential IC, 0 = Non-Residential IC 0
  Outcome of IC episode 13
Transfer 1 = Transferred before end of IC episode, 0 = Other outcome  
Complete 1 = Completed IC episode, 0 = Otherwise  
Died 1 = Patient Died, 0 = Otherwise  
Other Outcome 1 = Alternative Outcome, 0 = Other outcome  
Stay Duration Duration of service provision (number of days) 17
Descriptors of IC related services   
  Source of referral 3
Referral – primary 0 = Otherwise, 1 = Primary Care  
Referral – hospital 0 = Otherwise, 1 = Hospital  
Referral – social 0 = Otherwise, 1 = Social Services  
Referral – other 0 = Otherwise, 1 = Other Sources  
  Alternatives to IC services 18
Alternative – Home 0 = Else, 1 = Home  
Alternative – Hospital 0 = Else, 1 = Hospital  
Alternative – other 0 = Else 1 = Other alternative