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Table 2 A summary of the parameters used in the model

From: An economic evaluation of triage tools for patients with suspected severe injuries in England

Clinical parameters

Parameter

Value

Source

Probability of patients having a transfer from a local hospital to an MTC if:

 They were a true positive (ISS ≥ 16 & tool positive)

26.6%

Newgard et al 2016 [19]

 They were a false negative (ISS ≥ 16 & tool negative)

32.5%

 They were a true negative (ISS < 16 & tool negative)

4.3%

 They were a false positive (ISS < 16 & tool positive)

7.4%

 Probability of death within 30 days

Risk equation

TARN [15]

 Relative risk of death within 30 days of hospitalisation for patients with an ISS ≥ 16 who were treated at a local hospital

1.25

Newgard et al 2013 [3]

 Relative risk of death within 30 days of hospitalisation for patients with an ISS < 16 who were treated at a local hospital

1

Assumption

 Probability of death between 30 days post-injury and 1-year post-injury for patients with an ISS ≥ 16

3.6%

Mackenzie et al. 2006 [2]

 Relative risk of death between 30 days and 1 year post-hospitalisation for patients with an ISS ≥ 16 who were treated at an local hospital

1.64

 Probability of death between 30 days post-injury and 1-year post-injury for patients with an ISS < 16

1.7%

Davidson et al 2011 [20]

 Probability of death after 1 year

Age and gender dependant

ONS [18]

Hazard Ratio for the risk of death if someone has a suspected major trauma case with:

 An ISS of less than 16

1.38

Newgard et al 2016 [14]

 An ISS of greater than or equal to 16

5.19

Cameron et al. 2005 [4]

Utility parameters

Parameter

Value

Source

Utility for patients with:

 An ISS of 16 or more

0.65

Ahmed et al [21]

 An ISS of 15 or less

0.65

General population utility

 Constant

0.9508566

Ara and Brazier [22]

 Age

− 0.0002587

 Age squared

−0.0000332

 Male (1 = male, 0 = otherwise)

0.0212126

Calculations

 Age and gender matched general population utility for the Ahmed et al population

0.824

Calculated. Mean age was 61 years and 59.1% of the analysis population was male in Ahmed et al. [21]

Utility multipliers, relative to the utility in the general population, for patients with:

 An ISS of 16 or more

0.789

Calculated

 An ISS between 15 and 9

0.789

Calculated

 An ISS of under 9

1

We assumed that these patients would have a utility equal to that of the general population

Cost Parameters

Parameter

Value

Source

Admission costs – base case

 Transfers between local hospitals and MTCs

£252

Assumed to be one additional ambulance call out. NHS improvement [23]. Currency Code ASS02.

 MTC admission, if ISS is 16 or over

£2819

NHS improvement [24]

 MTC admission, if ISS is less than 16 and over 8

£1466

Treatment of a patient with blunt trauma and an ISS in the range of:

 ISS ≤ 9

£6198

Christensen et al. [25]

 9 < ISS ≤ 16

£8989

 16 < ISS ≤ 25

£14,205

 ISS > 25

£21,173

Treatment of a patient with penetrating trauma and an ISS in the range of:

 ISS ≤ 9

£6501

Christensen et al. [26]

 9 < ISS ≤ 15

£6035

 15 < ISS ≤ 24

£9453

 24 < ISS ≤ 34

£12,347

 ISS > 34

£16,438

Post discharge costs

 Cost between discharge and 6 months post treatment

£1766

John Nichol, Personal communication

 Relative increase in lifetime treatment costs for patients with an ISS ≥ 16 compared to the general population

1.45

Cameron et al. 2006 [27]

Delgado et al 2013 [28]

 Relative increase in lifetime treatment costs for patients with an ISS < 16 compared to the general population

1.25

Cameron et al. 2006 [27]

Delgado et al 2013 [28]

 Yearly costs of NHS treatment

Age and gender dependent

Asaria 2017 [29]

  1. NB – distributions and the standard errors around each parameter are provided in the Additional file 1: Appendix
  2. local hospital – local hospital; MTC major trauma centre, ISS injury severity score