Skip to main content

Table 4 Effect of length of surgical time (or clean up time) on wait times (minutes) according to urgency classification

From: How many operating rooms are needed to manage non-elective surgical cases? A Monte Carlo simulation study

  

4, 2, −15 min (n = 4)

4, 2 (n = 4)

4, 2, +15 min (n = 4)

Emergent

Mean

26 ± 1

29 ± 1

36 ± 1

 

Median

0 ± 0

0 ± 0

0 ± 0

 

95th %ile

134 ± 7

144 ± 3

169 ± 3

Urgent1

Mean

38 ± 1

44 ± 1

54 ± 2

 

Median

0 ± 0

0 ± 0

0 ± 0

 

95th %ile

205 ± 6

227 ± 9

261 ± 11

Urgent2

Mean

130 ± 2

138 ± 4

159 ± 5

 

Median

29 ± 3

41 ± 2

63 ± 4

 

95th %ile

466 ± 5

480 ± 7

537 ± 12

Add-on Elect

Mean

179 ± 2

194 ± 6

260 ± 6

 

Median

38 ± 6

45 ± 3

92 ± 7

 

95th %ile

665 ± 12

764 ± 57

1068 ± 39

Utilization (%)

 

63.1 ± 0.5

66.9 ± 0.2

70.9 ± 0.4

  1. Data are Mean ± SD. The model assumes four operating rooms running during daytime (0600–2200; 16 h) and two ORs running at night time (2200–0600; 8 h). The model adds15 min (+15 min, right column) to (or subtracts15 min from, −15 min, left column) the length of the surgery. This 15 min change could also simulate 15 min of increased or decreased clean-up (turnover) time. The n in parentheses aside number of ORs refers to the number of simulation runs performed
Back to article page

BMC Health Services Research

ISSN: 1472-6963

Contact us