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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

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