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Table 3 Result summaries for the outcomes measures from 1000 probabilistic simulations for three best calibrations

From: A hybrid simulation model approach to examine bacterial genome sequencing during a hospital outbreak

Total number of:

Optimal Calibration

Calibration #2

Calibration #3

Calibrated Real life1 (Scenario 1)

No WGS (Scenario 2)

Early WGS (Scenario 3)

Calibrated Real life1

No WGS

Early WGS

Calibrated Real life1

No WGS

Early WGS

Colonized patients (SD)

197

352 (170)

3 (0)

136

219 (90)

3 (0)

137

448 (320)

7 (9)

Detected patients (SD)

75

152 (75)

1 (0)

75

118 (48)

1 (0)

73

217 (136)

4 (7)

Sequencing tests (SD)

79

 

2 (0)

77

 

2 (0)

74

 

4 (7)

Bed closures (SD)

419

902 (486)

11 (2)

522

1145 (489)

5 (1)

428

1206 (767)

19 (28)

Total costs $US (SD)

318,654 (8406)

531,109 (234,315)

45,273 (3155)

349,160 (8889)

488,962 (178,224)

45,637 (2005)

322,981 (8441)

705,474 (360,758)

62,426 (38,507)

Whole genome sequencing costs

19,469 (393)

 

501 (51)

18,975 (388)

 

493 (10)

18,221 (385)

 

916 (1788)

Microbiology testing costs

180,933 (7804)

292,342 (110,451)

40,397 (2775)

193,338 (8169)

303,916 (104,391)

42,248 (1996)

186,432 (7862)

380,751 (160,304)

54,187 (28,663)

Cleaning costs

27,811 (1346)

58,075 (31,402)

733 (205)

33,125 (1488)

46,446 (20,638)

233 (43)

29,128 (1362)

78,749 (49,321)

1406 (1927)

Nursing costs

3091 (183)

6291 (3229)

44 (8)

3129 (184)

4818 (2068)

43 (2)

3000 (179)

8910 (5843)

157 (302)

Infection control executive meetings costs

24,366 (439)

38,873 (20,044)

1946 (124)

22,133 (401)

29,270 (12,413)

1925 (34)

21,803 (391)

55,779 (35,168)

2850 (2224)

Bed closure costs

62,984 (2481)

135,528 (72,750)

1652 (372)

78,460 (3012)

104,511 (47,699)

696 (104)

64,397 (2523)

181,286 (115,707)

2911 (4131)

  1. NB: Empty cells denote where the outcome measures which were not modelled as part of the scenario
  2. SD standard deviation, US United States, WGS whole genome sequencing
  3. 1No standard deviations were reported for non-cost outcome summaries in ‘Calibrated Real life’ as the model was calibrated using this scenario with a fixed outbreak signaling condition. Variation observed in ‘Calibrated Real life’ cost outcomes was due to the stochasticity of the cost parameters solely