Cardiac Surgery
August 2024
Function use
Nominal variable
Data exploration
Data correlation
Numeric variable
Numeric on datetime
Data exploration
Data correlation
Datetime data
- Data exploration
## ## Attaching package: 'zoo'## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric## ## Attaching package: 'dplyr'## The following objects are masked from 'package:stats': ## ## filter, lag## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union- Data correlation
## [1] "C:/Users/User/Documents/RStudio/theatre/CardioThoracicSurgery"Cardiac procedure
Data Description
Cardiac after filtering from Procedure Description has 2,340 observations. Breakdown of patient episodes through year:
Jan - Jun ’24: 343
2023: 635
2022: 552
2021: 331
2020: 479
- Nominal values
Procedure Code, Procedure Description, MRN, Emergency TMS, Emergency Category, Theatre Month, Theatre Year, Theatre Day, Theatre Date
- Binary values
Theatre (T3, T4), First Patient In Theatre, In Operating Theatre Flag
- Numeric values
Send For Patient to In Holding Bay (Mins) Ave Yes, In Holding Bay to Anaes Room (Mins) Flag Yes, Anaes Wait (Mins), Anaes Start to Ready Tfr Theatre (Mins) Ave Yes, Anaes Start to InOp Theatre (Mins) Ave In OT Yes, Ready Transfer Theatre to InOp Theatre (Mins), InOp Theatre to Paint Drape (Mins) Ave Drape Yes
- Time stamp values
Send for Patient DT, In Holding Bay DT, In Anaesthetic Room DT, Anaesthetic Start DT, In Operating Theatre DT, Paint Draping Start DT
Data Exploration
Nominal data
Procedure description
2020 - Jun 2024
- CABG, Valve and others as classified in cardiac procedure have the highest contribution (80%) to No. of patient episodes from 2020 to the half year of 2024, with the total of 2,340 obs.
## [,1] [,2]
## CABG 1237 52.863
## Valve 516 22.051
## Others 140 5.983
## transplant 121 5.171
## Aortic 87 3.718
## Mechanical Circulatory Support 55 2.350
## Peacemaker Defibrillator 47 2.009
## Re-operation 42 1.795
## Structural 28 1.197
## Wound Management 24 1.026
## Drain 15 0.641
## Rhythm Management 11 0.470
## Vascular 10 0.427
## Post Operative Bleeding 3 0.128
## Anaesthesia 1 0.043
## Complex Wound (Flap) 1 0.043
## Joint case ENT 1 0.043
## Trauma 1 0.043Jan-Jun 2024
- CABG, Valve and re-operation as classified in cardiac procedure have the highest contribution (80%) to No. of patient episodes in the half year of 2024, with 343 obs.
## [,1] [,2]
## CABG 199 58.017
## Valve 68 19.825
## Re-operation 16 4.665
## Others 13 3.790
## transplant 11 3.207
## Wound Management 11 3.207
## Mechanical Circulatory Support 7 2.041
## Aortic 6 1.749
## Peacemaker Defibrillator 6 1.749
## Structural 3 0.875
## Rhythm Management 2 0.583
## Drain 1 0.2922023
- CABG, Valve and others (same as the result of ’20 - Jun ’24) for 2023, with 635 obs.
## [,1] [,2]
## CABG 340 53.543
## Valve 132 20.787
## Others 45 7.087
## Aortic 31 4.882
## transplant 24 3.780
## Peacemaker Defibrillator 14 2.205
## Mechanical Circulatory Support 13 2.047
## Re-operation 10 1.575
## Structural 9 1.417
## Wound Management 8 1.260
## Drain 3 0.472
## Vascular 3 0.472
## Rhythm Management 2 0.315
## Trauma 1 0.1572022
- CABG, Valve and transplant as classified in cardiac procedure have 80% contribution to No. of patient episodes in 2022, with 552 obs.
## [,1] [,2]
## CABG 283 51.268
## Valve 140 25.362
## transplant 34 6.159
## Others 23 4.167
## Aortic 20 3.623
## Mechanical Circulatory Support 15 2.717
## Peacemaker Defibrillator 10 1.812
## Re-operation 10 1.812
## Rhythm Management 4 0.725
## Vascular 4 0.725
## Drain 3 0.543
## Structural 2 0.362
## Wound Management 2 0.362
## Anaesthesia 1 0.181
## Post Operative Bleeding 1 0.1812021
- CABG, Valve and others (same as the result of ’20 - Jun ’24) for 2021, with 331 obs.
## [,1] [,2]
## CABG 164 49.547
## Valve 63 19.033
## Others 34 10.272
## transplant 28 8.459
## Aortic 11 3.323
## Peacemaker Defibrillator 8 2.417
## Mechanical Circulatory Support 6 1.813
## Drain 4 1.208
## Structural 4 1.208
## Post Operative Bleeding 2 0.604
## Rhythm Management 2 0.604
## Wound Management 2 0.604
## Joint case ENT 1 0.302
## Re-operation 1 0.302
## Vascular 1 0.3022020
- CABG, Valve and others (same as the result of ’20 - Jun ’24) for 2020, with 479 obs.
## [,1] [,2]
## CABG 251 52.401
## Valve 113 23.591
## Others 25 5.219
## transplant 24 5.010
## Aortic 19 3.967
## Mechanical Circulatory Support 14 2.923
## Structural 10 2.088
## Peacemaker Defibrillator 9 1.879
## Re-operation 5 1.044
## Drain 4 0.835
## Vascular 2 0.418
## Complex Wound (Flap) 1 0.209
## Rhythm Management 1 0.209
## Wound Management 1 0.209Emergency TMS
2020 - Jun 2024
- For each year and 4.5 years (’20 to Jun ’24), elective surgery has the highest contribution (>= 80%) to counts of patient episodes.
## [,1] [,2]
## Elective 2003 85.598
## Emergency 337 14.402Emergency Category
2020 - Jun 2024
- E1 and E2 as classified in Emergency levels have the highest
contribution (80%) in total of 2,340 obs from 2020 to the half year of
2024; with
84 transplant cases
## [,1] [,2]
## E1:Critical Emergency 134 39.763
## E2:Non Critical Emergency 103 30.564
## ETRANS:Emergency Transplant 84 24.926
## E3:Urgent (Non Critical - Non Emerg) 16 4.748Jan-Jun 2024
- Different from the result of 2020-Jun’24, E1 and transplant have
80% contribution in the half year of 2024; with
8 transplant cases
## [,1] [,2]
## E1:Critical Emergency 19 54.286
## ETRANS:Emergency Transplant 8 22.857
## E2:Non Critical Emergency 6 17.143
## E3:Urgent (Non Critical - Non Emerg) 2 5.7142023
- Same as the half year of 2024; with
18 transplant cases
## [,1] [,2]
## E1:Critical Emergency 39 52.703
## ETRANS:Emergency Transplant 18 24.324
## E2:Non Critical Emergency 16 21.622
## E3:Urgent (Non Critical - Non Emerg) 1 1.3512022
- Same as the result of 2020-Jun’24; with
23 transplant cases
## [,1] [,2]
## E2:Non Critical Emergency 34 36.957
## E1:Critical Emergency 33 35.870
## ETRANS:Emergency Transplant 23 25.000
## E3:Urgent (Non Critical - Non Emerg) 2 2.1742021
- Transplant is outstanding, along with E1 have 80% of
contribution;
22 transplant cases
## [,1] [,2]
## ETRANS:Emergency Transplant 22 33.333
## E1:Critical Emergency 21 31.818
## E2:Non Critical Emergency 19 28.788
## E3:Urgent (Non Critical - Non Emerg) 4 6.0612020
- E2 and E1 have the highest contribution; with
13 transplant cases
## [,1] [,2]
## E2:Non Critical Emergency 28 40.000
## E1:Critical Emergency 22 31.429
## ETRANS:Emergency Transplant 13 18.571
## E3:Urgent (Non Critical - Non Emerg) 7 10.000Numeric data
Duration (mins) from “Send for Patient” to “Paint Drape”
2020 - Jun 2024
- Is not normally distributed, right skewed. As the result, median should be read below
- Duration (mins) from “Send for Patient” to “Paint Drape”, which is
calculated by date time (
mean= 113.8 +/- 39.99) is a bit shorter than calculated by system (mean= 115.5 +/- 40.42) - From monthly distribution over years, the distribution is high in quarter 2; except for the year 2021 which has higher distribution in quarter 1.
- Year 2021 has the longest time from “Send for Patient” to “Paint
Drape”; but for
medianvalues, 2024 has the shortest and formeanvalues, 2023 has the shortest. - For 4.5 years, February has the shortest time; but as for
medianvalues, September is the longest and formeanvalues, October is the longest. - From 2020 to Jun ’24, 2023-Apr has the shortest time
(
mean= 78.25 mins,median= 90.5 mins); and 2020-Apr has the longest time (mean=median= 168 mins). - Shapiro-Wilk test is to test normal distribution of
SendForPatient to PaintDrape. With p-value < .05, numeric value ofSendForPatient to PaintDrapeis not normally distributed.
Time_stamp
## Duration in Mins between SendForPatient_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -190.0 97.0 109.0 113.8 125.0 652.0 503
## median mean SE.mean CI.mean.0.95 var std.dev
## 109.0000000 113.8339684 0.9330912 1.8300316 1599.4010677 39.9925126
## coef.var
## 0.3513232
## Duration in Hours between SendForPatient_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -3.167 1.617 1.817 1.897 2.083 10.867 503
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.81666667 1.89723281 0.01555152 0.03050053 0.44427807 0.66654188
## coef.var
## 0.35132319## Rows: 1,837
## Columns: 7
## $ scale <dbl> 207, 142, 167, 65, 80, 81, 103, 104, 129, 123, 136, 128…
## $ datetime <date> 2021-09-22, 2024-01-31, 2022-04-26, 2021-04-14, 2023-0…
## $ year_month <chr> "2021-09", "2024-01", "2022-04", "2021-04", "2023-02", …
## $ year <chr> "2021", "2024", "2022", "2021", "2023", "2023", "2023",…
## $ month <chr> "09", "01", "04", "04", "02", "06", "10", "02", "10", "…
## $ day <chr> "Wednesday", "Wednesday", "Tuesday", "Wednesday", "Tues…
## $ year_month_day <chr> "2021-09 Wednesday", "2024-01 Wednesday", "2022-04 Tues…
## binwidth =[1] 4.572478
## Minimum of scale =[1] -190
## Maximum of scale =[1] 652
## year mean_gr median_gr
## 1 2020 115.3760 108
## 2 2021 115.4448 113
## 3 2022 113.5735 110
## 4 2023 111.9709 108
## 5 2024 113.6450 106
## month mean_gr median_gr
## 1 01 116.8533 113.0
## 2 02 106.0643 104.0
## 3 03 116.7190 105.0
## 4 04 116.0802 108.5
## 5 05 109.2289 106.0
## 6 06 112.1746 109.0
## 7 07 109.4714 108.0
## 8 08 113.2704 107.0
## 9 09 117.1818 114.5
## 10 10 119.7000 111.0
## 11 11 118.8489 114.0
## 12 12 109.4880 110.0
## year_month mean_gr median_gr
## 1 2020-01 115.85714 109.0
## 2 2020-02 104.91667 97.5
## 3 2020-03 116.13636 103.0
## 4 2020-04 128.20000 137.0
## 5 2020-05 125.28571 110.0
## 6 2020-06 102.58333 106.0
## 7 2020-07 114.95000 110.0
## 8 2020-08 115.65116 105.0
## 9 2020-09 121.04444 114.0
## 10 2020-10 135.31915 108.0
## 11 2020-11 104.76471 108.5
## 12 2020-12 107.25641 107.0
## 13 2021-01 107.90000 103.0
## 14 2021-02 125.00000 125.0
## 15 2021-03 99.92308 99.0
## 16 2021-04 112.21429 113.0
## 17 2021-05 113.78125 106.0
## 18 2021-06 122.00000 112.5
## 19 2021-07 108.83333 108.0
## 20 2021-08 114.08824 106.5
## 21 2021-09 123.34375 122.5
## 22 2021-10 114.12500 118.5
## 23 2021-11 139.30769 123.0
## 24 2021-12 112.43750 117.5
## 25 2022-01 111.04762 113.0
## 26 2022-02 105.18182 104.0
## 27 2022-03 115.81250 110.0
## 28 2022-04 123.33333 108.0
## 29 2022-05 112.09756 110.0
## 30 2022-06 115.65000 113.0
## 31 2022-07 99.41935 101.0
## 32 2022-08 110.09302 115.0
## 33 2022-09 114.90625 114.5
## 34 2022-10 118.95122 116.0
## 35 2022-11 119.52500 109.5
## 36 2022-12 107.44118 104.5
## 37 2023-01 115.60606 116.0
## 38 2023-02 106.35897 110.0
## 39 2023-03 108.91489 105.0
## 40 2023-04 114.35294 106.0
## 41 2023-05 103.84211 100.0
## 42 2023-06 114.11111 109.0
## 43 2023-07 112.96970 108.0
## 44 2023-08 113.43590 104.0
## 45 2023-09 110.55556 111.0
## 46 2023-10 106.57500 103.0
## 47 2023-11 122.42308 114.0
## 48 2023-12 112.52778 110.5
## 49 2024-01 125.00000 115.0
## 50 2024-02 106.78571 102.5
## 51 2024-03 132.79487 99.0
## 52 2024-04 111.68000 106.0
## 53 2024-05 105.66667 106.5
## 54 2024-06 105.00000 102.0
##
## Generalized Shapiro-Wilk test for Multivariate Normality by
## Villasenor-Alva and Gonzalez-Estrada
##
## data: df_scale$scale
## MVW = 0.66115, p-value < 2.2e-16System_calculation
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 8.0 97.0 109.0 115.5 126.0 592.0 1913## median mean SE.mean CI.mean.0.95 var std.dev
## 109.0000000 115.5480094 1.9560455 3.8447018 1633.7506240 40.4196811
## coef.var
## 0.3498085## Rows: 427
## Columns: 7
## $ scale <dbl> 81, 129, 123, 141, 105, 124, 89, 102, 108, 93, 107, 99,…
## $ datetime <date> 2023-06-19, 2021-10-05, 2024-04-08, 2020-01-30, 2020-0…
## $ year_month <chr> "2023-06", "2021-10", "2024-04", "2020-01", "2020-01", …
## $ year <chr> "2023", "2021", "2024", "2020", "2020", "2020", "2020",…
## $ month <chr> "06", "10", "04", "01", "01", "01", "02", "06", "07", "…
## $ day <chr> "Monday", "Tuesday", "Monday", "Thursday", "Monday", "F…
## $ year_month_day <chr> "2023-06 Monday", "2021-10 Tuesday", "2024-04 Monday", …
## binwidth =[1] 7.702269
## Minimum of scale =[1] 8
## Maximum of scale =[1] 592
## year mean_gr median_gr
## 1 2020 115.2959 107.0
## 2 2021 112.8767 113.0
## 3 2022 116.7671 112.0
## 4 2023 115.2241 113.5
## 5 2024 118.6481 105.0
## month mean_gr median_gr
## 1 01 115.5000 113.0
## 2 02 105.8378 99.0
## 3 03 129.8148 104.0
## 4 04 106.0741 105.0
## 5 05 110.9333 106.5
## 6 06 109.1111 103.0
## 7 07 107.7692 107.0
## 8 08 115.4286 107.0
## 9 09 122.5862 115.0
## 10 10 129.7778 114.0
## 11 11 119.7586 117.0
## 12 12 113.6552 114.0
## year_month mean_gr median_gr
## 1 2020-01 108.3846 105.0
## 2 2020-02 105.0000 95.0
## 3 2020-03 112.1111 104.0
## 4 2020-04 168.0000 168.0
## 5 2020-06 95.3750 97.5
## 6 2020-07 111.7500 109.5
## 7 2020-08 116.6818 105.5
## 8 2020-09 118.6250 108.0
## 9 2020-10 132.2857 108.0
## 10 2020-11 124.5714 129.5
## 11 2020-12 115.7500 115.0
## 12 2021-01 131.3333 121.0
## 13 2021-03 104.6667 99.0
## 14 2021-04 115.8000 114.0
## 15 2021-05 111.2000 108.5
## 16 2021-06 110.1429 126.0
## 17 2021-07 107.7500 106.0
## 18 2021-08 101.0000 103.0
## 19 2021-09 131.0000 135.0
## 20 2021-10 117.2000 125.0
## 21 2021-11 135.0000 122.0
## 22 2021-12 111.0000 102.0
## 23 2022-01 123.7143 120.0
## 24 2022-02 102.5000 105.5
## 25 2022-03 120.0000 131.0
## 26 2022-04 110.8333 107.0
## 27 2022-05 102.5000 102.5
## 28 2022-06 119.3333 113.5
## 29 2022-07 97.5000 101.0
## 30 2022-08 114.0909 109.0
## 31 2022-09 136.5000 128.5
## 32 2022-10 146.5000 119.0
## 33 2022-11 114.0000 109.0
## 34 2022-12 109.1111 97.0
## 35 2023-01 123.0000 116.0
## 36 2023-02 117.5000 117.5
## 37 2023-03 96.0000 96.0
## 38 2023-04 78.2500 90.5
## 39 2023-05 121.7500 127.0
## 40 2023-06 118.0000 109.0
## 41 2023-07 104.5714 102.0
## 42 2023-08 155.5000 129.5
## 43 2023-09 114.0000 108.0
## 44 2023-10 119.6667 123.5
## 45 2023-11 109.1111 107.0
## 46 2023-12 129.0000 129.0
## 47 2024-01 120.2222 120.0
## 48 2024-02 106.4545 108.0
## 49 2024-03 156.9091 112.0
## 50 2024-04 103.5455 99.0
## 51 2024-05 113.6250 107.5
## 52 2024-06 95.0000 95.0
##
## Generalized Shapiro-Wilk test for Multivariate Normality by
## Villasenor-Alva and Gonzalez-Estrada
##
## data: df_scale$scale
## MVW = 0.57883, p-value < 2.2e-16Duration each stages
Stages
Year
Time_stamp (mins)
Mean +/- SD
Time_stamp (mins)
Median (Range)
System_calculation (mins)
Mean +/- SD
System_calculation (mins)
Median (Range)
SendForPatient to
Paint Drape (Mins)
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
113.8 +/- 39.99
113.6 +/- 51.28
112.0 +/- 31.65
113.6 +/- 38.06
115.4 +/- 34.80
115.4 +/- 45.76
109 (-190 - 652)
106 (15 - 652)
108 (34 - 480)
110 (27 - 558)
113 (33 - 393)
108 (-190 - 469)
115.5 +/- 40.42
118.6 +/- 71.27
115.2 +/- 32.58
116.8 +/- 28.47
112.9 +/- 21.71
115.3 +/- 40.30
109 (8 - 592)
105 (67 - 592)
113.5 (8 - 260)
112 (68 - 264)
113 (65 - 168)
107 (66 - 464)
SendForPatient to
InHoldingBay (Mins)
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
20.90 +/- 12.41
22.08 +/- 9.29
20.76 +/- 10.23
21.50 +/- 13.13
20.68 +/- 9.20
19.84 +/- 16.90
19 (-268 - 210)
19 (6 - 59)
19 (-98 - 70)
19 (1 - 210)
19 (0 - 106)
18 (-268 - 55)
21.11 +/- 9.86
22.08 +/- 9.29
20.97 +/- 8.62
21.50 +/- 13.13
20.68 +/- 9.20
20.55 +/- 7.96
19 (0 - 210)
19 (6 - 59)
19 (0 - 70)
19 (1 - 210)
19 (0 - 106)
18 (0 - 55)
InHoldingBay to
AnaesRoom (Mins)
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
19.17 +/- 46.25
23.97 +/- 99.66
17.72 +/- 16.70
17.41 +/- 18.02
18.29 +/- 15.96
20.08 +/- 48.93
13 (-118 - 1451)
14 (0 - 1451)
13 (-6 - 179)
13 (-118 - 110)
13 (-14 - 110)
12 (0 - 797)
19.17 +/- 46.25
23.97 +/- 99.66
17.72 +/- 16.70
17.41 +/- 18.02
18.29 +/- 15.96
20.08 +/- 48.93
13 (-118 - 1451)
14 (0 - 1451)
13 (-6 - 179)
13 (-118 - 110)
13 (-14 - 110)
12 (0 - 797)
Anaes Wait (Mins)
or AnaesRoom to AnaesStart
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
20.22 +/- 41.94
22.07 +/- 16.63
23.74 +/- 20.78
22.63 +/- 14.58
23.08 +/- 20.04
15.85 +/- 63.78
20 (-726 - 157)
20 (-41 - 65)
19 (-14 - 157)
21 (-43 - 75)
21 (-56 - 117)
20 (-726 - 131)
21.59 +/- 10.52
21.69 +/- 12.20
22.30 +/- 10.57
22.22 +/- 10.37
22.06 +/- 11.18
20.80 +/- 9.71
20 (1-57)
19 (1 - 57)
19 (1 - 50)
20 (3 - 53)
20.5 (1 - 57)
20 (1 - 51)
AnaesStart to InOpTheatre (Mins)
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
32.46 +/- 73.15
38.91 +/- 66.93
33.33 +/- 28.04
37.39 +/- 19.98
19.94 +/- 155.20
33.61 +/- 30.97
35 (-1363 - 546)
32 (-48 - 546)
36 (-139 - 94)
36 (-75 - 130)
35 (-1363 - 363)
34 (-90 - 339)
32.46 +/- 73.15
38.91 +/- 66.93
33.33 +/- 28.04
37.39 +/- 19.98
19.94 +/- 155.20
33.61 +/- 30.97
35 (-1363 - 546)
32 (-48 - 546)
36 (-139 - 94)
36 (-75 - 130)
35 (-1363 - 363)
34 (-90 - 339)
InOpTheatre to PaintDrape (Mins)
’20 - Jun ’24
Jan-Jun ’24
’23
’22
’21
’20
20.25 +/- 63.81
15.17 +/- 91.14
19.77 +/- 67.74
22.77 +/- 36.73
20.91 +/- 29.94
21.10 +/- 76.13
16 (-1415 - 442)
15 (-1415 - 404)
16 (-1376 - 388)
17 (-374 - 442)
16 (-310 - 280)
16 (-1355 - 385)
20.25 +/- 63.81
15.17 +/- 91.14
19.77 +/- 67.74
22.77 +/- 36.73
20.91 +/- 29.94
21.10 +/- 76.13
16 (-1415 - 442)
15 (-1415 - 404)
16 (-1376 - 388)
17 (-374 - 442)
16 (-310 - 280)
16 (-1355 - 385)
Theatre Wait (Mins)
’20 - Jun ’24
25.84 +/- 7.91
25 (0 - 59)
PaintDrape to
InstrToSkin (Mins)
’20 - Jun ’24
10.34 +/- 26.24
9 (-379 - 609)
10.34 +/- 26.24
9 (-379 - 609)
InstrToSkin to
DressAppl (Mins)
’20 - Jun ’24
272.8 +/- 128.47
275 (-315 - 1960)
272.8 +/- 128.47
275 (-315 - 1960)
DressAppl to
ReadyPacu (Mins)
’20 - Jun ’24
4.63 +/- 110.01
10 (-1407 - 256)
4.63 +/- 110.01
10 (-1407 - 256)
ReadyDepartPacu to
ReturnWard (Mins)
’20 - Jun ’24
65.19 +/- 142.43
21 (0 - 783)
22.76 +/- 13.94
20 (2 - 59)
Cardiac with First Patient
Data Description
##
## 0 1
## 1389 111Late Start
- Late Start is defined when the First Patient starting after 8:15 am on (Monday, Tuesday, Thursday and Friday) or after 9:00 am on Wednesday, with a time stamp “In Anaesthetic Room” or “In Operating Theatre”
- As definition, No. of First Patient in Theatre:
1,207observations, with387Late Start from 2020 to June 2024
## [1] 0 1
## Table of frequency of Late Start :| Theatre Year | count |
|---|---|
| 2024 | 51 |
| 2023 | 98 |
| 2022 | 109 |
| 2021 | 72 |
| 2020 | 57 |
Data Correlation
Relationship between ‘Late Start’ and Theatre Day
There is a statistically significant difference between ‘Late Start’ and Theatre Day (p-value <.05). With 1,207 First Patient cases, for 4.5 years data, Late Start cases are highest on Friday and Tuesday.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 1207
##
##
## | Theatre Day
## Late Start | MON | TUE | WED | THU | FRI | SAT | SUN | Row Total |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## 0 | 163 | 203 | 145 | 62 | 152 | 47 | 48 | 820 |
## | 163.05 | 201.77 | 141.99 | 74.05 | 174.60 | 31.93 | 32.61 | |
## | 0.00 | 0.01 | 0.06 | 1.96 | 2.92 | 7.11 | 7.26 | |
## | 0.20 | 0.25 | 0.18 | 0.08 | 0.19 | 0.06 | 0.06 | 0.68 |
## | 0.68 | 0.68 | 0.69 | 0.57 | 0.59 | 1.00 | 1.00 | |
## | 0.14 | 0.17 | 0.12 | 0.05 | 0.13 | 0.04 | 0.04 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## 1 | 77 | 94 | 64 | 47 | 105 | 0 | 0 | 387 |
## | 76.95 | 95.23 | 67.01 | 34.95 | 82.40 | 15.07 | 15.39 | |
## | 0.00 | 0.02 | 0.14 | 4.16 | 6.20 | 15.07 | 15.39 | |
## | 0.20 | 0.24 | 0.17 | 0.12 | 0.27 | 0.00 | 0.00 | 0.32 |
## | 0.32 | 0.32 | 0.31 | 0.43 | 0.41 | 0.00 | 0.00 | |
## | 0.06 | 0.08 | 0.05 | 0.04 | 0.09 | 0.00 | 0.00 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
## Column Total | 240 | 297 | 209 | 109 | 257 | 47 | 48 | 1207 |
## | 0.20 | 0.25 | 0.17 | 0.09 | 0.21 | 0.04 | 0.04 | |
## -------------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 60.29715 d.f. = 6 p = 3.916825e-11
##
##
## Relationship between ‘Late Start’ and Emergency classification
There is a statistically significant difference between ‘Late Start’ and Emergency TMS (p-value <.05). However, there is no statistically significant difference between ‘Late Start’ and Emergency Category (p-value >.05).
From 2020 - Jun ’24, with 1,207 First Patient cases, Late Start cases are 44 Emergency (11%) and 343 Elective (89%).
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 1207
##
##
## | Emergency TMS
## Late Start | Elective | Emergency | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 682 | 138 | 820 |
## | 696.35 | 123.65 | |
## | 0.30 | 1.67 | |
## | 0.83 | 0.17 | 0.68 |
## | 0.67 | 0.76 | |
## | 0.57 | 0.11 | |
## -------------|-----------|-----------|-----------|
## 1 | 343 | 44 | 387 |
## | 328.65 | 58.35 | |
## | 0.63 | 3.53 | |
## | 0.89 | 0.11 | 0.32 |
## | 0.33 | 0.24 | |
## | 0.28 | 0.04 | |
## -------------|-----------|-----------|-----------|
## Column Total | 1025 | 182 | 1207 |
## | 0.85 | 0.15 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 6.120457 d.f. = 1 p = 0.01336263
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 5.701506 d.f. = 1 p = 0.01695036
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 182
##
##
## | Emergency Category
## Late Start | E1:Critical Emergency | E2:Non Critical Emergency | E3:Urgent (Non Critical - Non Emerg) | ETRANS:Emergency Transplant | Row Total |
## -------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|
## 0 | 34 | 47 | 3 | 54 | 138 |
## | 34.88 | 46.25 | 4.55 | 52.32 | |
## | 0.02 | 0.01 | 0.53 | 0.05 | |
## | 0.25 | 0.34 | 0.02 | 0.39 | 0.76 |
## | 0.74 | 0.77 | 0.50 | 0.78 | |
## | 0.19 | 0.26 | 0.02 | 0.30 | |
## -------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|
## 1 | 12 | 14 | 3 | 15 | 44 |
## | 11.12 | 14.75 | 1.45 | 16.68 | |
## | 0.07 | 0.04 | 1.66 | 0.17 | |
## | 0.27 | 0.32 | 0.07 | 0.34 | 0.24 |
## | 0.26 | 0.23 | 0.50 | 0.22 | |
## | 0.07 | 0.08 | 0.02 | 0.08 | |
## -------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|
## Column Total | 46 | 61 | 6 | 69 | 182 |
## | 0.25 | 0.34 | 0.03 | 0.38 | |
## -------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|--------------------------------------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 2.547888 d.f. = 3 p = 0.4666987
##
##
## Relationship between ‘Late Start’ and Transplant cases
There is a statistically significant difference between ‘Late Start’ and Transplant cases (p-value <.05).
From 2020 - Jun ’24, with 1,207 First Patient cases, among 94 transplant cases, 20 has Late Start (21%).
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 1207
##
##
## | Transplant
## Late Start | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 746 | 74 | 820 |
## | 756.14 | 63.86 | |
## | 0.14 | 1.61 | |
## | 0.91 | 0.09 | 0.68 |
## | 0.67 | 0.79 | |
## | 0.62 | 0.06 | |
## -------------|-----------|-----------|-----------|
## 1 | 367 | 20 | 387 |
## | 356.86 | 30.14 | |
## | 0.29 | 3.41 | |
## | 0.95 | 0.05 | 0.32 |
## | 0.33 | 0.21 | |
## | 0.30 | 0.02 | |
## -------------|-----------|-----------|-----------|
## Column Total | 1113 | 94 | 1207 |
## | 0.92 | 0.08 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 5.44478 d.f. = 1 p = 0.01962689
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 4.921017 d.f. = 1 p = 0.02653189
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 182
##
##
## | Emergency Transplant
## Late Start | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 84 | 54 | 138 |
## | 85.68 | 52.32 | |
## | 0.03 | 0.05 | |
## | 0.61 | 0.39 | 0.76 |
## | 0.74 | 0.78 | |
## | 0.46 | 0.30 | |
## -------------|-----------|-----------|-----------|
## 1 | 29 | 15 | 44 |
## | 27.32 | 16.68 | |
## | 0.10 | 0.17 | |
## | 0.66 | 0.34 | 0.24 |
## | 0.26 | 0.22 | |
## | 0.16 | 0.08 | |
## -------------|-----------|-----------|-----------|
## Column Total | 113 | 69 | 182 |
## | 0.62 | 0.38 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 0.3599606 d.f. = 1 p = 0.5485281
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 0.1777006 d.f. = 1 p = 0.6733568
##
## Relationship between ‘Late Start’ and Cancelled cases
There is no statistically significant difference between ‘Late Start’ and Cancelled cases (p-value >.05).
From 2020 - Jun ’24, with 1,207 First Patient cases, among 12 cancelled cases, 6 has Late Start.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 1207
##
##
## | Cancellations
## Late Start | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 814 | 6 | 820 |
## | 811.85 | 8.15 | |
## | 0.01 | 0.57 | |
## | 0.99 | 0.01 | 0.68 |
## | 0.68 | 0.50 | |
## | 0.67 | 0.00 | |
## -------------|-----------|-----------|-----------|
## 1 | 381 | 6 | 387 |
## | 383.15 | 3.85 | |
## | 0.01 | 1.20 | |
## | 0.98 | 0.02 | 0.32 |
## | 0.32 | 0.50 | |
## | 0.32 | 0.00 | |
## -------------|-----------|-----------|-----------|
## Column Total | 1195 | 12 | 1207 |
## | 0.99 | 0.01 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 1.790241 d.f. = 1 p = 0.1808968
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 1.055119 d.f. = 1 p = 0.3043311
##
## Cardiac with identified late start
Data Description
From 2020 to June 2024, among cases with late start, 20
having transplant and 6 cases having been cancelled
(scroll down for details)
Data Correlation
No. of late start cases having Cardiac transplant or cancelled
## transplant
## 0 1
## 367 20## emergency transplant
## 0 1
## 29 15## cancelled
## FALSE TRUE
## 381 6##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 387
##
##
## | Transplant by Diagnosis
## Cancelled | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 361 | 20 | 381 |
## | 361.31 | 19.69 | |
## | 0.00 | 0.00 | |
## | 0.95 | 0.05 | 0.98 |
## | 0.98 | 1.00 | |
## | 0.93 | 0.05 | |
## -------------|-----------|-----------|-----------|
## 1 | 6 | 0 | 6 |
## | 5.69 | 0.31 | |
## | 0.02 | 0.31 | |
## | 1.00 | 0.00 | 0.02 |
## | 0.02 | 0.00 | |
## | 0.02 | 0.00 | |
## -------------|-----------|-----------|-----------|
## Column Total | 367 | 20 | 387 |
## | 0.95 | 0.05 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 0.3321247 d.f. = 1 p = 0.5644107
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 6.428466e-28 d.f. = 1 p = 1
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | Expected N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 44
##
##
## | Emergency Transplant
## Cancelled | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 28 | 15 | 43 |
## | 28.34 | 14.66 | |
## | 0.00 | 0.01 | |
## | 0.65 | 0.35 | 0.98 |
## | 0.97 | 1.00 | |
## | 0.64 | 0.34 | |
## -------------|-----------|-----------|-----------|
## 1 | 1 | 0 | 1 |
## | 0.66 | 0.34 | |
## | 0.18 | 0.34 | |
## | 1.00 | 0.00 | 0.02 |
## | 0.03 | 0.00 | |
## | 0.02 | 0.00 | |
## -------------|-----------|-----------|-----------|
## Column Total | 29 | 15 | 44 |
## | 0.66 | 0.34 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 0.5292702 d.f. = 1 p = 0.4669138
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 4.342352e-30 d.f. = 1 p = 1
##
## ## `summarise()` has grouped output by 'Theatre Year', 'Theatre Month',
## 'TheatreDay'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Theatre Year', 'Theatre Month',
## 'TheatreDay'. You can override using the `.groups` argument.
|
|
Elective Cardiac
Data Description
- Elective Cardiac: 928 observations
## `summarise()` has grouped output by 'Theatre Year'. You can override using the
## `.groups` argument.
|
|
Data Exploration
Data and results below is from 2020 - Jun ’24
From SendForPatient to PaintDrape (system) in T3
## List of 11
## $ call : language qcc::qcc(data = df_SendForPatient_to_PaintDrape_T3, type = "xbar", labels = df_SendForPatient_to_PaintDrape_T3$th| __truncated__
## $ type : chr "xbar"
## $ data.name : chr "df_SendForPatient_to_PaintDrape_T3"
## $ data : num [1:49, 1:2] 1 2 3 6 7 8 9 10 11 12 ...
## ..- attr(*, "dimnames")=List of 2
## $ statistics: Named num [1:49] 58.2 54.4 56.4 54.8 63.1 ...
## ..- attr(*, "names")= chr [1:49] "2020 January" "2020 February" "2020 March" "2020 June" ...
## $ sizes : int [1:49] 2 2 2 2 2 2 2 2 2 2 ...
## $ center : num 71.5
## $ std.dev : num 76.3
## $ nsigmas : num 3
## $ limits : num [1, 1:2] -90.4 233.5
## ..- attr(*, "dimnames")=List of 2
## $ violations:List of 2
## - attr(*, "class")= chr "qcc"
## List of 11
## $ call : language qcc::qcc(data = df_SendForPatient_to_PaintDrape_T3, type = "S", labels = df_SendForPatient_to_PaintDrape_T3$theat| __truncated__
## $ type : chr "S"
## $ data.name : chr "df_SendForPatient_to_PaintDrape_T3"
## $ data : num [1:49, 1:2] 1 2 3 6 7 8 9 10 11 12 ...
## ..- attr(*, "dimnames")=List of 2
## $ statistics: Named num [1:49] 80.9 74.1 75.5 69.1 79.3 ...
## ..- attr(*, "names")= chr [1:49] "2020 January" "2020 February" "2020 March" "2020 June" ...
## $ sizes : int [1:49] 2 2 2 2 2 2 2 2 2 2 ...
## $ center : num 60.9
## $ std.dev : num 76.3
## $ nsigmas : num 3
## $ limits : num [1, 1:2] 0 199
## ..- attr(*, "dimnames")=List of 2
## $ violations:List of 2
## - attr(*, "class")= chr "qcc"Data Exploration (cont.)
From SendForPatient to PaintDrape (system) in T4
## List of 11
## $ call : language qcc::qcc(data = df_SendForPatient_to_PaintDrape_T4, type = "xbar", labels = df_SendForPatient_to_PaintDrape_T4$th| __truncated__
## $ type : chr "xbar"
## $ data.name : chr "df_SendForPatient_to_PaintDrape_T4"
## $ data : num [1:47, 1:2] 1 2 3 6 7 8 9 10 11 12 ...
## ..- attr(*, "dimnames")=List of 2
## $ statistics: Named num [1:47] 50.6 53.8 59 47.5 56 ...
## ..- attr(*, "names")= chr [1:47] "2020 January" "2020 February" "2020 March" "2020 June" ...
## $ sizes : int [1:47] 2 2 2 2 2 2 2 2 2 2 ...
## $ center : num 70.8
## $ std.dev : num 75.7
## $ nsigmas : num 3
## $ limits : num [1, 1:2] -89.8 231.4
## ..- attr(*, "dimnames")=List of 2
## $ violations:List of 2
## - attr(*, "class")= chr "qcc"
## List of 11
## $ call : language qcc::qcc(data = df_SendForPatient_to_PaintDrape_T4, type = "S", labels = df_SendForPatient_to_PaintDrape_T4$theat| __truncated__
## $ type : chr "S"
## $ data.name : chr "df_SendForPatient_to_PaintDrape_T4"
## $ data : num [1:47, 1:2] 1 2 3 6 7 8 9 10 11 12 ...
## ..- attr(*, "dimnames")=List of 2
## $ statistics: Named num [1:47] 70.1 73.2 79.2 58.7 69.3 ...
## ..- attr(*, "names")= chr [1:47] "2020 January" "2020 February" "2020 March" "2020 June" ...
## $ sizes : int [1:47] 2 2 2 2 2 2 2 2 2 2 ...
## $ center : num 60.4
## $ std.dev : num 75.7
## $ nsigmas : num 3
## $ limits : num [1, 1:2] 0 197
## ..- attr(*, "dimnames")=List of 2
## $ violations:List of 2
## - attr(*, "class")= chr "qcc"Data Exploration (cont.)
Distribution of duration from “Send For Patient” to “Paint Drape” (mins)
|
|
|
|
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -190.0 97.0 108.0 114.7 125.0 652.0 406## median mean SE.mean CI.mean.0.95 var std.dev
## 108.0000000 114.6994364 1.0028333 1.9670089 1606.0624872 40.0757094
## coef.var
## 0.3493976## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 65.0 97.0 108.0 115.3 125.0 592.0 1622## median mean SE.mean CI.mean.0.95 var std.dev
## 108.0000000 115.3097113 2.0958709 4.1209567 1673.6090897 40.9097677
## coef.var
## 0.3547816## binwidth =[1] 6.187772
## Minimum of scale =[1] -190
## Maximum of scale =[1] 652## Warning: The dot-dot notation (`..density..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(density)` instead.
## ℹ The deprecated feature was likely used in the ggplot2 package.
## Please report the issue at <https://github.com/tidyverse/ggplot2/issues>.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: Continuous y aesthetic
## ℹ did you forget `aes(group = ...)`?##
## Generalized Shapiro-Wilk test for Multivariate Normality by
## Villasenor-Alva and Gonzalez-Estrada
##
## data: scale
## MVW = 0.79882, p-value < 2.2e-16## binwidth =[1] 6.187772
## Minimum of scale =[1] -190
## Maximum of scale =[1] 652## Warning: Continuous y aesthetic
## ℹ did you forget `aes(group = ...)`?##
## Generalized Shapiro-Wilk test for Multivariate Normality by
## Villasenor-Alva and Gonzalez-Estrada
##
## data: scale
## MVW = 0.79882, p-value < 2.2e-16Data Correlation
Relationship between Time from ‘Send for Patient’ to ‘Paint Drape’ and First Patient In Theatre
As the result of different variance (p-value Bartlett <.05), Wilcox-test is applied. There is no statistically significant difference between “SendForPatient to PaintDrape” and whether or not “First Patient in Theatre” (p-value t-test >.05)
##
## Bartlett test of homogeneity of variances
##
## data: scale by as.factor(binary)
## Bartlett's K-squared = 26.168, df = 1, p-value = 3.129e-07
##
##
## Welch Two Sample t-test
##
## data: scale by binary
## t = 0.27812, df = 266.64, p-value = 0.7811
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -6.554586 8.710967
## sample estimates:
## mean in group 0 mean in group 1
## 116.1134 115.0352Relationship between Time from ‘Send for Patient’ to ‘Paint Drape’ and Theatre
As the result of different variance (p-value Bartlett <.05), Wilcox-test is applied. There is not statistically significant difference between “SendForPatient to PaintDrape” and (T3, T4) theatre (p-value t-test >.05)
##
## Bartlett test of homogeneity of variances
##
## data: scale by as.factor(binary)
## Bartlett's K-squared = 52.343, df = 1, p-value = 4.66e-13
##
##
## Welch Two Sample t-test
##
## data: scale by binary
## t = -0.23379, df = 324.96, p-value = 0.8153
## alternative hypothesis: true difference in means between group T03-Theatre 3 and group T04-Theatre 4 is not equal to 0
## 95 percent confidence interval:
## -9.022814 7.106073
## sample estimates:
## mean in group T03-Theatre 3 mean in group T04-Theatre 4
## 114.8066 115.7650Patient Journey in Theatre
## Time_stamp## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -190.0 97.0 109.0 113.8 125.0 652.0 503
## median mean SE.mean CI.mean.0.95 var std.dev
## 109.0000000 113.8339684 0.9330912 1.8300316 1599.4010677 39.9925126
## coef.var
## 0.3513232
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -3.167 1.617 1.817 1.897 2.083 10.867 503
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.81666667 1.89723281 0.01555152 0.03050053 0.44427807 0.66654188
## coef.var
## 0.35132319## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 15.0 93.0 106.0 113.6 123.0 652.0 81
## median mean SE.mean CI.mean.0.95 var std.dev
## 106.0000000 113.6450382 3.1680160 6.2381235 2629.5171975 51.2788182
## coef.var
## 0.4512192
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.250 1.550 1.767 1.894 2.050 10.867 81
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.76666667 1.89408397 0.05280027 0.10396873 0.73042144 0.85464697
## coef.var
## 0.45121916## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 34 96 108 112 124 480 154
## median mean SE.mean CI.mean.0.95 var std.dev
## 108.0000000 111.9708940 1.4432910 2.8359492 1001.9658177 31.6538436
## coef.var
## 0.2826971
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.5667 1.6000 1.8000 1.8662 2.0667 8.0000 154
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.80000000 1.86618157 0.02405485 0.04726582 0.27832384 0.52756406
## coef.var
## 0.28269707## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 27.0 98.0 110.0 113.6 125.0 558.0 130
## median mean SE.mean CI.mean.0.95 var std.dev
## 110.0000000 113.5734597 1.8529262 3.6421391 1448.8675125 38.0639923
## coef.var
## 0.3351487
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.450 1.633 1.833 1.893 2.083 9.300 130
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.83333333 1.89289100 0.03088210 0.06070232 0.40246320 0.63439987
## coef.var
## 0.33514866## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 33.0 98.0 113.0 115.4 127.0 393.0 50
## median mean SE.mean CI.mean.0.95 var std.dev
## 113.000000 115.444840 2.076148 4.086839 1211.219268 34.802576
## coef.var
## 0.301465
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.550 1.633 1.883 1.924 2.117 6.550 50
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.88333333 1.92408066 0.03460246 0.06811399 0.33644980 0.58004293
## coef.var
## 0.30146497## Duration in Mins between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -190.0 97.0 108.0 115.4 125.0 469.0 88
## median mean SE.mean CI.mean.0.95 var std.dev
## 108.0000000 115.3759591 2.3143534 4.5501699 2094.2864975 45.7633751
## coef.var
## 0.3966457
## Duration in Hours between SendForPatient_stamp and PaintDrape_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -3.167 1.617 1.800 1.923 2.083 7.817 88
## median mean SE.mean CI.mean.0.95 var std.dev
## 1.80000000 1.92293265 0.03857256 0.07583616 0.58174625 0.76272292
## coef.var
## 0.39664567## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 8.0 97.0 109.0 115.5 126.0 592.0 1913## median mean SE.mean CI.mean.0.95 var std.dev
## 109.0000000 115.5480094 1.9560455 3.8447018 1633.7506240 40.4196811
## coef.var
## 0.3498085## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 67.0 92.5 105.0 118.6 123.0 592.0 289## median mean SE.mean CI.mean.0.95 var std.dev
## 105.0000000 118.6481481 9.6979958 19.4517163 5078.7606569 71.2654240
## coef.var
## 0.6006451## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 8.0 100.2 113.5 115.2 126.5 260.0 577## median mean SE.mean CI.mean.0.95 var std.dev
## 113.5000000 115.2241379 4.2773651 8.5652758 1061.1594071 32.5754418
## coef.var
## 0.2827137## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 68.0 101.0 112.0 116.8 125.0 264.0 479## median mean SE.mean CI.mean.0.95 var std.dev
## 112.0000000 116.7671233 3.3325639 6.6433447 810.7366819 28.4734382
## coef.var
## 0.2438481## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 65.0 100.0 113.0 112.9 128.0 168.0 258## median mean SE.mean CI.mean.0.95 var std.dev
## 113.000000 112.876712 2.541059 5.065508 471.359589 21.710817
## coef.var
## 0.192341## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 66.0 96.0 107.0 115.3 124.0 464.0 310## median mean SE.mean CI.mean.0.95 var std.dev
## 107.0000000 115.2958580 3.0999664 6.1199078 1624.0548042 40.2995633
## coef.var
## 0.3495318## Time_stamp## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -268.0 15.0 19.0 20.9 25.0 210.0 634
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 20.8997655 0.3005371 0.5894603 154.0902404 12.4133090
## coef.var
## 0.5939449
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -4.4667 0.2500 0.3167 0.3483 0.4167 3.5000 634
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.316666667 0.348329426 0.005008951 0.009824338 0.042802845 0.206888483
## coef.var
## 0.593944893## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 6.00 16.00 19.00 22.08 27.00 59.00 101
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 22.0826446 0.5974574 1.1769051 86.3831830 9.2942554
## coef.var
## 0.4208851
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.1000 0.2667 0.3167 0.3680 0.4500 0.9833 101
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.316666667 0.368044077 0.009957623 0.019615085 0.023995329 0.154904256
## coef.var
## 0.420885068## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -98.00 15.00 19.00 20.76 25.00 70.00 183
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 20.7566372 0.4812642 0.9457987 104.6900889 10.2318175
## coef.var
## 0.4929420
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1.6333 0.2500 0.3167 0.3459 0.4167 1.1667 183
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.31666667 0.34594395 0.00802107 0.01576331 0.02908058 0.17053029
## coef.var
## 0.49294196## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.0 16.0 19.0 21.5 25.0 210.0 168
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 21.5026042 0.6701490 1.3176318 172.4543013 13.1321857
## coef.var
## 0.6107254
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.01667 0.26667 0.31667 0.35838 0.41667 3.50000 168
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.31666667 0.35837674 0.01116915 0.02196053 0.04790397 0.21886976
## coef.var
## 0.61072536## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 15.00 19.00 20.68 23.00 106.00 76
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 20.6784314 0.5759799 1.1343046 84.5969739 9.1976613
## coef.var
## 0.4447949
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.2500 0.3167 0.3446 0.3833 1.7667 76
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.316666667 0.344640523 0.009599665 0.018905076 0.023499159 0.153294355
## coef.var
## 0.444794925## Duration in Mins between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -268.00 15.00 18.00 19.84 24.00 55.00 106
## median mean SE.mean CI.mean.0.95 var std.dev
## 18.0000000 19.8364611 0.8749834 1.7205336 285.5672692 16.8987357
## coef.var
## 0.8519027
## Duration in Hours between SendForPatient_stamp and InHoldingBay_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -4.4667 0.2500 0.3000 0.3306 0.4000 0.9167 106
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.30000000 0.33060769 0.01458306 0.02867556 0.07932424 0.28164560
## coef.var
## 0.85190275## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 15.00 19.00 21.11 25.00 210.00 634## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 21.1143025 0.2388339 0.4684384 97.3130270 9.8647365
## coef.var
## 0.4672064## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 6.00 16.00 19.00 22.08 27.00 59.00 101## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 22.0826446 0.5974574 1.1769051 86.3831830 9.2942554
## coef.var
## 0.4208851## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 15.00 19.00 20.97 25.00 70.00 183## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 20.9734513 0.4055136 0.7969307 74.3274533 8.6213371
## coef.var
## 0.4110595## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.0 16.0 19.0 21.5 25.0 210.0 168## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 21.5026042 0.6701490 1.3176318 172.4543013 13.1321857
## coef.var
## 0.6107254## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 15.00 19.00 20.68 23.00 106.00 76## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 20.6784314 0.5759799 1.1343046 84.5969739 9.1976613
## coef.var
## 0.4447949## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 15.00 18.00 20.55 24.00 55.00 106## median mean SE.mean CI.mean.0.95 var std.dev
## 18.0000000 20.5549598 0.4122547 0.8106417 63.3928046 7.9619598
## coef.var
## 0.3873498## Time_stamp## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -118.00 9.00 13.00 19.17 20.00 1451.00 842
## median mean SE.mean CI.mean.0.95 var std.dev
## 13.000000 19.168224 1.194896 2.343848 2138.809357 46.247263
## coef.var
## 2.412705
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1.9667 0.1500 0.2167 0.3195 0.3333 24.1833 842
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.21666667 0.31947040 0.01991493 0.03906414 0.59411371 0.77078772
## coef.var
## 2.41270462## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 9.00 14.00 23.97 19.00 1451.00 131
## median mean SE.mean CI.mean.0.95 var std.dev
## 14.000000 23.966981 6.844393 13.492152 9931.292743 99.655872
## coef.var
## 4.158049
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.1500 0.2333 0.3995 0.3167 24.1833 131
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.2333333 0.3994497 0.1140732 0.2248692 2.7586924 1.6609312
## coef.var
## 4.1580486## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -6.00 9.00 13.00 17.72 21.50 179.00 244
## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 17.7186701 0.8443687 1.6600841 278.7668044 16.6963111
## coef.var
## 0.9423005
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.1000 0.1500 0.2167 0.2953 0.3583 2.9833 244
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.21666667 0.29531117 0.01407281 0.02766807 0.07743522 0.27827185
## coef.var
## 0.94230047## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -118.00 9.00 13.00 17.41 19.50 110.00 225
## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 17.4128440 0.9963973 1.9601800 324.6480554 18.0179925
## coef.var
## 1.0347530
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1.9667 0.1500 0.2167 0.2902 0.3250 1.8333 225
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.21666667 0.29021407 0.01660662 0.03266967 0.09018002 0.30029988
## coef.var
## 1.03475300## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -14.00 10.00 13.00 18.29 21.00 110.00 110
## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 18.2895928 1.0734968 2.1156535 254.6793912 15.9586776
## coef.var
## 0.8725551
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.2333 0.1667 0.2167 0.3048 0.3500 1.8333 110
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.21666667 0.30482655 0.01789161 0.03526089 0.07074428 0.26597796
## coef.var
## 0.87255511## Duration in Mins between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 9.00 12.00 20.08 18.00 797.00 132
## median mean SE.mean CI.mean.0.95 var std.dev
## 12.000000 20.083573 2.626961 5.166822 2394.620163 48.934856
## coef.var
## 2.436561
## Duration in Hours between InHoldingBay_stamp and InAnaesRoom_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.1500 0.2000 0.3347 0.3000 13.2833 132
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.20000000 0.33472622 0.04378268 0.08611369 0.66517227 0.81558094
## coef.var
## 2.43656122## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -118.00 9.00 13.00 19.17 20.00 1451.00 842## median mean SE.mean CI.mean.0.95 var std.dev
## 13.000000 19.168224 1.194896 2.343848 2138.809357 46.247263
## coef.var
## 2.412705## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 9.00 14.00 23.97 19.00 1451.00 131## median mean SE.mean CI.mean.0.95 var std.dev
## 14.000000 23.966981 6.844393 13.492152 9931.292743 99.655872
## coef.var
## 4.158049## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -6.00 9.00 13.00 17.72 21.50 179.00 244## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 17.7186701 0.8443687 1.6600841 278.7668044 16.6963111
## coef.var
## 0.9423005## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -118.00 9.00 13.00 17.41 19.50 110.00 225## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 17.4128440 0.9963973 1.9601800 324.6480554 18.0179925
## coef.var
## 1.0347530## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -14.00 10.00 13.00 18.29 21.00 110.00 110## median mean SE.mean CI.mean.0.95 var std.dev
## 13.0000000 18.2895928 1.0734968 2.1156535 254.6793912 15.9586776
## coef.var
## 0.8725551## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 9.00 12.00 20.08 18.00 797.00 132## median mean SE.mean CI.mean.0.95 var std.dev
## 12.000000 20.083573 2.626961 5.166822 2394.620163 48.934856
## coef.var
## 2.436561## Time_stamp## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -726.00 15.00 20.00 20.22 28.00 157.00 1870
## median mean SE.mean CI.mean.0.95 var std.dev
## 20.000000 20.221277 1.934594 3.801544 1759.046881 41.940993
## coef.var
## 2.074102
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -12.1000 0.2500 0.3333 0.3370 0.4667 2.6167 1870
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.33333333 0.33702128 0.03224323 0.06335907 0.48862413 0.69901655
## coef.var
## 2.07410213## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -41.00 14.00 20.00 22.07 28.25 65.00 283
## median mean SE.mean CI.mean.0.95 var std.dev
## 20.0000000 22.0666667 2.1469814 4.2960999 276.5717514 16.6304465
## coef.var
## 0.7536456
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.6833 0.2333 0.3333 0.3678 0.4708 1.0833 283
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.33333333 0.36777778 0.03578302 0.07160166 0.07682549 0.27717411
## coef.var
## 0.75364561## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -14.00 15.00 19.00 23.74 28.00 157.00 566
## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 23.7391304 2.5013766 4.9914193 431.7250639 20.7779947
## coef.var
## 0.8752635
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.2333 0.2500 0.3167 0.3957 0.4667 2.6167 566
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.31666667 0.39565217 0.04168961 0.08319032 0.11992363 0.34629991
## coef.var
## 0.87526351## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -43.00 15.50 21.00 22.63 27.00 75.00 473
## median mean SE.mean CI.mean.0.95 var std.dev
## 21.0000000 22.6329114 1.6403482 3.2656825 212.5686465 14.5797341
## coef.var
## 0.6441829
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.7167 0.2583 0.3500 0.3772 0.4500 1.2500 473
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.35000000 0.37721519 0.02733914 0.05442804 0.05904685 0.24299557
## coef.var
## 0.64418288## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -56.00 15.00 21.00 23.08 28.50 117.00 248
## median mean SE.mean CI.mean.0.95 var std.dev
## 21.0000000 23.0843373 2.1994446 4.3753959 401.5171907 20.0378939
## coef.var
## 0.8680298
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.9333 0.2500 0.3500 0.3847 0.4750 1.9500 248
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.35000000 0.38473896 0.03665741 0.07292327 0.11153255 0.33396490
## coef.var
## 0.86802985## Duration in Mins between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -726.00 15.00 20.00 15.85 27.00 131.00 300
## median mean SE.mean CI.mean.0.95 var std.dev
## 20.000000 15.854749 4.767530 9.408152 4068.551817 63.785201
## coef.var
## 4.023098
## Duration in Hours between InAnaesRoom_stamp and AnaesStart_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -12.1000 0.2500 0.3333 0.2642 0.4500 2.1833 300
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.33333333 0.26424581 0.07945883 0.15680253 1.13015328 1.06308668
## coef.var
## 4.02309757## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.00 15.00 20.00 21.59 27.00 57.00 1884## median mean SE.mean CI.mean.0.95 var std.dev
## 20.0000000 21.5921053 0.4927376 0.9683236 110.7123771 10.5219949
## coef.var
## 0.4873075## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.00 14.00 19.00 21.69 27.75 57.00 285## median mean SE.mean CI.mean.0.95 var std.dev
## 19.0000000 21.6896552 1.6014223 3.2067929 148.7441016 12.1960691
## coef.var
## 0.5622989## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.0 16.0 19.0 22.3 28.0 50.0 569## median mean SE.mean CI.mean.0.95 var std.dev
## 19.000000 22.303030 1.300523 2.597325 111.629837 10.565502
## coef.var
## 0.473725## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 3.00 15.00 20.00 22.22 27.00 53.00 475## median mean SE.mean CI.mean.0.95 var std.dev
## 20.0000000 22.2207792 1.1822369 2.3546288 107.6216678 10.3740864
## coef.var
## 0.4668642## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.00 15.00 20.50 22.06 27.25 57.00 251## median mean SE.mean CI.mean.0.95 var std.dev
## 20.5000000 22.0625000 1.2496004 2.4872674 124.9200949 11.1767659
## coef.var
## 0.5065956## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.0 15.0 20.0 20.8 26.0 51.0 304## median mean SE.mean CI.mean.0.95 var std.dev
## 20.0000000 20.8000000 0.7338854 1.4484634 94.2528736 9.7083919
## coef.var
## 0.4667496## Time_stamp## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1363.00 28.00 35.00 32.46 42.00 546.00 1835
## median mean SE.mean CI.mean.0.95 var std.dev
## 35.000000 32.461386 3.255070 6.395177 5350.717256 73.148597
## coef.var
## 2.253403
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -22.7167 0.4667 0.5833 0.5410 0.7000 9.1000 1835
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.58333333 0.54102310 0.05425116 0.10658629 1.48631035 1.21914328
## coef.var
## 2.25340338## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -48.00 27.75 32.00 38.91 36.00 546.00 279
## median mean SE.mean CI.mean.0.95 var std.dev
## 32.000000 38.906250 8.365940 16.717997 4479.292659 66.927518
## coef.var
## 1.720225
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -0.8000 0.4625 0.5333 0.6484 0.6000 9.1000 279
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.5333333 0.6484375 0.1394323 0.2786333 1.2442480 1.1154586
## coef.var
## 1.7202254## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -139.00 29.00 36.00 33.33 45.25 94.00 563
## median mean SE.mean CI.mean.0.95 var std.dev
## 36.0000000 33.3333333 3.3046299 6.5892449 786.2816901 28.0407149
## coef.var
## 0.8412214
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -2.3167 0.4833 0.6000 0.5556 0.7542 1.5667 563
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.60000000 0.55555556 0.05507717 0.10982075 0.21841158 0.46734525
## coef.var
## 0.84122145## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -75.00 31.00 36.00 37.39 44.00 130.00 468
## median mean SE.mean CI.mean.0.95 var std.dev
## 36.000000 37.392857 2.180076 4.336083 399.229346 19.980724
## coef.var
## 0.534346
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1.2500 0.5167 0.6000 0.6232 0.7333 2.1667 468
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.60000000 0.62321429 0.03633460 0.07226805 0.11089704 0.33301207
## coef.var
## 0.53434602## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1363.00 29.00 35.00 19.94 43.00 363.00 242
## median mean SE.mean CI.mean.0.95 var std.dev
## 35.000000 19.943820 16.450900 32.692707 24086.258172 155.197481
## coef.var
## 7.781733
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -22.7167 0.4833 0.5833 0.3324 0.7167 6.0500 242
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.5833333 0.3323970 0.2741817 0.5448785 6.6906273 2.5866247
## coef.var
## 7.7817329## Duration in Mins between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -90.00 27.75 34.00 33.61 42.00 339.00 283
## median mean SE.mean CI.mean.0.95 var std.dev
## 34.0000000 33.6071429 2.2122746 4.3630569 959.2551282 30.9718441
## coef.var
## 0.9215852
## Duration in Hours between AnaesStart_stamp and InOpTheatre_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1.5000 0.4625 0.5667 0.5601 0.7000 5.6500 283
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.56666667 0.56011905 0.03687124 0.07271761 0.26645976 0.51619740
## coef.var
## 0.92158516## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1363.00 28.00 35.00 32.46 42.00 546.00 1835## median mean SE.mean CI.mean.0.95 var std.dev
## 35.000000 32.461386 3.255070 6.395177 5350.717256 73.148597
## coef.var
## 2.253403## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -48.00 27.75 32.00 38.91 36.00 546.00 279## median mean SE.mean CI.mean.0.95 var std.dev
## 32.000000 38.906250 8.365940 16.717997 4479.292659 66.927518
## coef.var
## 1.720225## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -139.00 29.00 36.00 33.33 45.25 94.00 563## median mean SE.mean CI.mean.0.95 var std.dev
## 36.0000000 33.3333333 3.3046299 6.5892449 786.2816901 28.0407149
## coef.var
## 0.8412214## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -75.00 31.00 36.00 37.39 44.00 130.00 468## median mean SE.mean CI.mean.0.95 var std.dev
## 36.000000 37.392857 2.180076 4.336083 399.229346 19.980724
## coef.var
## 0.534346## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1363.00 29.00 35.00 19.94 43.00 363.00 242## median mean SE.mean CI.mean.0.95 var std.dev
## 35.000000 19.943820 16.450900 32.692707 24086.258172 155.197481
## coef.var
## 7.781733## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -90.00 27.75 34.00 33.61 42.00 339.00 283## median mean SE.mean CI.mean.0.95 var std.dev
## 34.0000000 33.6071429 2.2122746 4.3630569 959.2551282 30.9718441
## coef.var
## 0.9215852## Time_stamp## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1415.00 13.00 16.00 20.25 20.00 442.00 411
## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 20.252981 1.452761 2.849149 4071.184930 63.805838
## coef.var
## 3.150442
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -23.5833 0.2167 0.2667 0.3375 0.3333 7.3667 411
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.26666667 0.33754968 0.02421269 0.04748581 1.13088470 1.06343063
## coef.var
## 3.15044182## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1415.00 12.00 15.00 15.17 19.00 404.00 68
## median mean SE.mean CI.mean.0.95 var std.dev
## 15.000000 15.174545 5.495930 10.819616 8306.443875 91.139694
## coef.var
## 6.006091
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -23.5833 0.2000 0.2500 0.2529 0.3167 6.7333 68
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.25000000 0.25290909 0.09159884 0.18032694 2.30734552 1.51899490
## coef.var
## 6.00609057## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1376.00 13.00 16.00 19.77 20.00 388.00 123
## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 19.769531 2.993775 5.881623 4588.897857 67.741404
## coef.var
## 3.426556
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -22.9333 0.2167 0.2667 0.3295 0.3333 6.4667 123
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.26666667 0.32949219 0.04989626 0.09802705 1.27469385 1.12902340
## coef.var
## 3.42655592## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -374.00 13.25 17.00 22.77 22.00 442.00 114
## median mean SE.mean CI.mean.0.95 var std.dev
## 17.000000 22.771689 1.755175 3.449635 1349.320753 36.733102
## coef.var
## 1.613104
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -6.2333 0.2208 0.2833 0.3795 0.3667 7.3667 114
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.28333333 0.37952816 0.02925292 0.05749391 0.37481132 0.61221836
## coef.var
## 1.61310392## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -310.00 13.00 16.00 20.91 21.00 280.00 36
## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 20.908475 1.742962 3.430264 896.185472 29.936357
## coef.var
## 1.431781
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -5.1667 0.2167 0.2667 0.3485 0.3500 4.6667 36
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.26666667 0.34847458 0.02904937 0.05717106 0.24894041 0.49893928
## coef.var
## 1.43178102## Duration in Mins between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1355.0 13.0 16.0 21.1 21.0 385.0 70
## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 21.102689 3.764490 7.400218 5796.097272 76.132104
## coef.var
## 3.607697
## Duration in Hours between InOpTheatre_stamp and PaintDraping_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -22.5833 0.2167 0.2667 0.3517 0.3500 6.4167 70
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.2666667 0.3517115 0.0627415 0.1233370 1.6100270 1.2688684
## coef.var
## 3.6076967## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1415.00 13.00 16.00 20.25 20.00 442.00 411## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 20.252981 1.452761 2.849149 4071.184930 63.805838
## coef.var
## 3.150442## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1415.00 12.00 15.00 15.17 19.00 404.00 68## median mean SE.mean CI.mean.0.95 var std.dev
## 15.000000 15.174545 5.495930 10.819616 8306.443875 91.139694
## coef.var
## 6.006091## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1376.00 13.00 16.00 19.77 20.00 388.00 123## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 19.769531 2.993775 5.881623 4588.897857 67.741404
## coef.var
## 3.426556## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -374.00 13.25 17.00 22.77 22.00 442.00 114## median mean SE.mean CI.mean.0.95 var std.dev
## 17.000000 22.771689 1.755175 3.449635 1349.320753 36.733102
## coef.var
## 1.613104## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -310.00 13.00 16.00 20.91 21.00 280.00 36## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 20.908475 1.742962 3.430264 896.185472 29.936357
## coef.var
## 1.431781## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1355.0 13.0 16.0 21.1 21.0 385.0 70## median mean SE.mean CI.mean.0.95 var std.dev
## 16.000000 21.102689 3.764490 7.400218 5796.097272 76.132104
## coef.var
## 3.607697## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 21.00 25.00 25.84 29.00 59.00 416## median mean SE.mean CI.mean.0.95 var std.dev
## 25.0000000 25.8393971 0.1803092 0.3536221 62.5519364 7.9089782
## coef.var
## 0.3060821## Time_stamp## Duration in Mins between PaintDraping_stamp and InstrToSkin_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -379.00 7.00 9.00 10.34 11.00 609.00 412
## median mean SE.mean CI.mean.0.95 var std.dev
## 9.0000000 10.3443983 0.5975324 1.1718780 688.3826256 26.2370468
## coef.var
## 2.5363531
## Duration in Hours between PaintDraping_stamp and InstrToSkin_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -6.3167 0.1167 0.1500 0.1724 0.1833 10.1500 412
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.150000000 0.172406639 0.009958873 0.019531300 0.191217396 0.437284114
## coef.var
## 2.536353102## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -379.00 7.00 9.00 10.34 11.00 609.00 412## median mean SE.mean CI.mean.0.95 var std.dev
## 9.0000000 10.3443983 0.5975324 1.1718780 688.3826256 26.2370468
## coef.var
## 2.5363531## Time_stamp## Duration in Mins between InstrToSkin_stamp and DressingApplied_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -315.0 220.0 275.0 272.8 326.0 1960.0 446
## median mean SE.mean CI.mean.0.95 var std.dev
## 2.750000e+02 2.727920e+02 2.952060e+00 5.789633e+00 1.650556e+04 1.284740e+02
## coef.var
## 4.709595e-01
## Duration in Hours between InstrToSkin_stamp and DressingApplied_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -5.250 3.667 4.583 4.546 5.433 32.667 446
## median mean SE.mean CI.mean.0.95 var std.dev
## 4.58333333 4.54653291 0.04920100 0.09649388 4.58487821 2.14123287
## coef.var
## 0.47095950## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -315.0 220.0 275.0 272.8 326.0 1960.0 446## median mean SE.mean CI.mean.0.95 var std.dev
## 2.750000e+02 2.727920e+02 2.952060e+00 5.789633e+00 1.650556e+04 1.284740e+02
## coef.var
## 4.709595e-01## Time_stamp## Duration in Mins between DressingApplied_stamp and ReadyPACU_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1407.000 6.000 10.000 4.629 17.750 256.000 2138
## median mean SE.mean CI.mean.0.95 var std.dev
## 10.000000 4.628713 7.740444 15.262889 12102.722157 110.012373
## coef.var
## 23.767379
## Duration in Hours between DressingApplied_stamp and ReadyPACU_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -23.4500 0.1000 0.1667 0.0771 0.2958 4.2667 2138
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.16666667 0.07714521 0.12900739 0.25438149 3.36186727 1.83353955
## coef.var
## 23.76737892## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -1407.000 6.000 10.000 4.629 17.750 256.000 2138## median mean SE.mean CI.mean.0.95 var std.dev
## 10.000000 4.628713 7.740444 15.262889 12102.722157 110.012373
## coef.var
## 23.767379## Time_stamp## Duration in Mins between ReadyDepartPACU_stamp and ReturnWard_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 13.00 21.00 65.19 38.00 783.00 2255
## median mean SE.mean CI.mean.0.95 var std.dev
## 21.000000 65.188235 15.448627 30.721289 20286.107003 142.429305
## coef.var
## 2.184893
## Duration in Hours between ReadyDepartPACU_stamp and ReturnWard_stamp
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.2167 0.3500 1.0865 0.6333 13.0500 2255
## median mean SE.mean CI.mean.0.95 var std.dev
## 0.3500000 1.0864706 0.2574771 0.5120215 5.6350297 2.3738218
## coef.var
## 2.1848928## System## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 2.00 12.75 20.00 22.76 31.00 59.00 2260## median mean SE.mean CI.mean.0.95 var std.dev
## 20.0000000 22.7625000 1.5584847 3.1020862 194.3099684 13.9395111
## coef.var
## 0.6123893