Table 2.
Population | Variable | Period 1 | Period 2 | Change, % | Diff. (P2-P1) |
---|---|---|---|---|---|
U1 |
Number of patients (n) |
2276 |
1448 |
−36* |
|
|
Case time (hours) |
4235 |
2726 |
−36* |
|
|
Number of days with surgery |
314 |
308 |
|
|
|
Percentage of patients treated within MAWT (%) |
63 |
76 |
|
|
|
Median waiting time (hours) |
3.2 |
1.7 |
|
−1.5* |
U2 |
Number of patients (n) |
609 |
1171 |
92* |
|
|
Case time (hours) |
1106 |
2171 |
96* |
|
|
Number of days with surgery |
249 |
296 |
|
|
|
Percentage of patients treated within MAWT (%) |
97 |
93 |
|
|
|
Median waiting time (hours) |
4 |
5 |
|
1* |
U3 |
Number of patients (n) |
778 |
1480 |
90* |
|
|
Case time (hours) |
1758 |
3612 |
105* |
|
|
Number of days with surgery |
261 |
308 |
|
|
|
Percentage of patients treated within MAWT (%) |
70 |
89 |
|
|
Median waiting time (hours) | 35 | 23 | −12* |
Note. *p<0.05. Diff. = Difference (period 2 - period 1); MAWT = maximum acceptable waiting time; Changes in waiting time between the two periods are compared using the Mann–Whitney U-test. It should be noted that waiting times analysis use disaggregate (patient level) data, while case times analysis use data aggregate per day (i.e.one observation corresponds to one day).Medians are reported because the distributions are skewed by cases with excessive waiting, resulting in mean waiting time being profoundly affected.