Table 1

Results from our time-series regression analyses analysing whether delayed discharges were associated with the total number of deaths

CoefficientLower CIUpper CI
(A) Outcome: total number of deaths
Exposure: total number of days patients were late being discharged
 Acute admissions0.3940.2200.569
 Non-acute admissions−0.244−0.433−0.056
 SAR1−0.468−0.720−0.215
 Drift−238.806−372.365−105.248
 AIC1060.67
(B) Outcome: total number of deaths
Exposure: total number of patients who were late being discharged
 Acute admissions7.3221.75412.890
 Non-acute admissions−6.020−12.025−0.015
 SAR1−0.495−0.738−0.252
 Drift−118.677−252.57715.224
 AIC1071.46
(C) Outcome: mortality rate (per 100 000)
Exposure: total number of days patients were late being discharged
 Acute admissions0.00070.00030.0011
 Non-acute admissions−0.0005−0.00100.0001
 SAR1−0.4648−0.7208−0.2087
 Drift−0.4845−0.7401−0.2290
 AIC356.45
(D) Outcome: mortality rate (per 100 000)
Exposure: total number of patients who were late being discharged
 Acute admissions0.0130.0030.024
 Non-acute admissions−0.011−0.0220.000
 SAR1−0.494−0.737−0.251
 Drift−0.264−0.513−0.016
 AIC366.92
  • AIC, Akaike Information Criterion; SAR1, Seasonal AutoRegressive coefficient of order 1 .