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Table 2 Association between whether or not patients from the TELBIL and TELBIL-A studies died during follow-up and the other variables

From: Mortality in a cohort of complex patients with chronic illnesses and multimorbidity: a descriptive longitudinal study

 

Died (n = 61)

Survived (n = 22)

p valuea

Telemonitored during study periodb

  

0.027

 Yes, n (%)

37 (60.7 %)

19 (86.4 %)

 

 No, n (%)

24 (39.3 %)

3 (13.6 %)

 

Condition prompting inclusion

  

0.888

 Lung disease (78.6 % COPD)

14 (22.9 %)

6 (27.3 %)

 

 Heart failure

13 (21.3 %)

5 (22.7 %)

 

 Both concurrently

34 (55.8 %)

11 (50 %)

 

Sex

  

0.889

 Female

26 (42.6 %)

9 (40.9 %)

 

 Male

35 (57.4 %)

13 (59.1 %)

 

Age in years on inclusion, median (IQR)

81 (78 to 87)

81.3 (71 to 84)

0.192

Barthel index score (0 to 100)

70 (40 to 87.5)

87.5 (60 to 100)

0.120

EQ-5D VAS scorec (0 to 100)

40 (25 to 60)

50 (37.5 to 65)

0.148

Number of regular medications

11 (9 to 13)

12 (10 to 14)

0.219

Number of all-cause admissions the year before inclusion

3 (2 to 4)

3 (1 to 4)

0.384

Number of condition-specific (heart or lung-related) admissions the year before inclusion

2 (2 to 3)

2 (1 to 2)

0.006

  1. aFor the qualitative variables (having been telemonitored or not, inclusion condition and sex, expressed as frequencies and percentages), we used chi-square for hypothesis testing. For the others, qualitative variables (expressed as medians and interquartile ranges [IQRs]), we used the non-parametric Mann–Whitney U test, as the data were not normally distributed or the sample size was small
  2. bIn complementary analysis to assess the influence of the length of follow-up, the difference in follow-up time between those who were and were not telemonitored (mean of 851 vs. 805 days respectively) was not found to be significant (p = 0.712)
  3. cEQ-5D VAS: EuroQol EQ-5D visual analogue scale
  4. in bold variables con statistical significance <0.05