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. 2008 Feb 19;12(1):R23. doi: 10.1186/cc6797

Outcomes and costs of blunt trauma in England and Wales

Michael C Christensen 1,, Saxon Ridley 2, Fiona E Lecky 3, Vicki Munro 4, Stephen Morris 5
PMCID: PMC2374581  PMID: 18298813

Abstract

Background

Trauma represents an important public health concern in the United Kingdom, yet the acute costs of blunt trauma injury have not been documented and analysed in detail. Knowledge of the overall costs of trauma care, and the drivers of these costs, is a prerequisite for a cost-conscious approach to improvement in standards of trauma care, including evaluation of the cost-effectiveness of new healthcare technologies.

Methods

Using the Trauma Audit Research Network database, we examined patient records for persons aged 18 years and older hospitalised for blunt trauma between January 2000 and December 2005. Patients were stratified by the Injury Severity Score (ISS).

Results

A total of 35,564 patients were identified; 60% with an ISS of 0 to 9, 17% with an ISS of 10 to 16, 12% with an ISS of 17 to 25, and 11% with an ISS of 26 to 75. The median age was 46 years and 63% of patients were men. Falls were the most common cause of injury (50%), followed by road traffic collisions (33%). Twenty-nine percent of patients were admitted to critical care for a median length of stay of 4 days. The median total hospital length of stay was 9 days, and 69% of patients underwent at least one surgical procedure. Seven percent of the patients died before discharge, with the highest proportion of deaths among those in the ISS 26–75 group (32%). The mean hospital cost per person was £9,530 (± 11,872). Costs varied significantly by Glasgow Coma Score, ISS, age, cause of injury, type of injury, hospital mortality, grade and specialty of doctor seen in the accident and emergency department, and year of admission.

Conclusion

The acute treatment costs of blunt trauma in England and Wales vary significantly by injury severity and survival, and public health initiatives that aim to reduce both the incidence and severity of blunt trauma are likely to produce significant savings in acute trauma care. The largest component of acute hospital cost is determined by the length of stay, and measures designed to reduce length of admissions are likely to be the most effective in reducing the costs of blunt trauma care.

Introduction

Severe injury remains a common cause of death and permanent disability across all ages in the United Kingdom, and implies substantial costs to society in medical care, premature death, disability and use of social services [1,2]. Injuries are a major cause of morbidity and mortality in young people, representing the leading cause of death in those aged younger than 35 years and causing approximately 3,500 deaths annually in England and Wales [3]. The number of serious injuries implies approximately 640,000 hospitals admissions each year and more than 6 million attendances to accident and emergency (A&E) departments [4,5].

The incidence of polytrauma (defined as an injury severity score (ISS) > 15) is currently 10,500 per year, equivalent to one patient per 1,000 presenting in A&E departments [6]. While the number of people killed or severely injured in a road traffic collision (RTC) has declined significantly over the past four decades, the numbers are still substantial: in 2005 there were 2,913 fatal road accidents, 25,029 serious road accidents and 170,793 minor road accidents in the United Kingdom [7]. The value to society of preventing these accidents was estimated at £12,807 million, or £64,440 per accident [8]. The annual cost to the National Health Service (NHS) of treating trauma injuries is currently estimated at £1.6 billion; about 7% of the total annual NHS budget [2].

In light of the clinical and economic consequences of severe injury, the Royal College of Surgeons and the British Orthopaedic Association recommend developing a national system of trauma services based on the geographic trauma systems for England, Wales and Northern Ireland [1]. In addition, they recommend specific standards in trauma care for initial assessment and resuscitation, anaesthesia, intensive care and rehabilitation to provide hospital trusts with reasonable goals to which they could audit current clinical practice. Both organisations argue that improvement of care for the severely injured will create an opportunity for reducing the costs of avoidable death and unnecessary morbidity.

Recommendations for improving standards of care are likely to require additional funding and resources, raising questions about the cost-effectiveness of such healthcare improvements. While the outcomes of severe injury have been well documented over the past two decades and some information exists on the standards of trauma care, there are little data on the medical costs of severe injury in the United Kingdom. In particular, there is no information on the major determinants of hospital costs; for example, types of injuries and patient characteristics that drive the total costs of trauma care. Such information would usefully contribute to policy decision-making by targeting high-cost components in trauma care. It would also be a useful resource for evaluating the cost-effectiveness of trauma care interventions.

The aim of the present paper is to analyse the determinants of the costs of trauma care in England and Wales. We examine recent data on acute hospital treatment for blunt trauma and we estimate the acute hospital costs from the perspective of the NHS. We also identify the most important predictors of acute care costs in terms of patient and injury characteristics.

Methods

Data and variables

Data for this study were obtained from the Trauma Audit Research Network (TARN). Data from TARN have been used to examine a range of topics in trauma and trauma care, including trends in trauma care [9], the effect of neurosurgical care on head injury outcome [10], and outcome prediction in trauma [11]. The present study is the first to use TARN data to investigate the acute treatment costs of blunt trauma patients.

The TARN registry includes 50% of all hospitals receiving trauma patients in England and Wales [12]. The registry collects data on patients who sustain injuries resulting in immediate admission to hospital for ≥ 3 days, admission to an intensive care unit or a high dependency unit, or death within 93 days. Patients over 65 years old with isolated fracture of the neck of femur/pubic ramus and those with simple isolated injuries are excluded.

Data for this study came exclusively from the TARN database without author access to patient records. The TARN database is supported by the Healthcare Commission. Specific informed patient consent or ethical approval is not required because no patient identifiers are retained by TARN electronically or on paper. The TARN has Patient Information Advisory Group approval.

We included all patients hospitalised for blunt trauma in TARN hospitals between 1 January 2000 and 31 December 2005. Each hospital completes for every patient a data entry sheet with information on age, gender, cause and type of injuries, severity of injuries, treatment provided at the scene of incident, treatment en route to hospital, treatment in the A&E department, and any other care received at the hospital, including diagnostic tests, surgical procedures, and length of stay. Records of patients transferred between hospitals are linked so that full data for these patients are available.

In our study, injury severity is measured using the Injury Severity Score (ISS) [13]. The ISS is based on an ordinal scale ranging from 0 to 75, which is in turn based on the Abbreviated Injury Scale (AIS). Each AIS injury code is allocated an AIS score ranging from 1 (minor injury) to 6 (virtually unsurvivable injury). To compute the ISS, AIS injury codes are grouped into six body regions (head or neck, face, chest, abdominal or pelvic, extremities, and external) and the ISS is calculated as the sum of the squares of the highest AIS scores for the three most severely injured body regions. AIS codes of 6 are automatically allocated an ISS of 75. As no definitive grouping of ISS scores exists [14], we used the following categories: ISS 0–9 group, ISS 10–16 group, ISS 17–25 group and ISS 26–75 group. This stratification allows one injury with an AIS score of 3 in the first category, one injury with an AIS score of 4 in the second category, and one injury with an AIS score of 5 in the third category. In addition, we used data on gender, age, cause of injury, earliest recorded Glasgow Coma Score (GCS), type and number of injuries sustained, discharge status, and year of admission.

We also used data from the TARN registry on the characteristics of the treatment received. These data included the mode of arrival at the hospital, the time from the emergency call to arrival at the A&E department (when by ambulance), the highest grade and specialty of the doctor attending the patient in the A&E department, the time spent in the A&E department, surgery, admission to critical care, and the length of stay. We also used data on whether or not the treating hospital had a neurosurgical centre and/or a spinal injury unit as a rough indicator of specialisation in trauma care. We excluded from the analysis patients younger than 18 years of age at the time of injury.

Measuring costs

To estimate costs we took the perspective of the NHS in England and Wales; that is, only costs to the NHS in these regions were considered. We focused on the costs of the treatment received during the initial acute hospitalisation. We calculated treatment costs for each patient based on the following cost components: cost of transportation (ambulance, helicopter), cost of hospital stay (A&E department, critical care, general ward), and cost of all surgical procedures performed. Resource use for every component was recorded for each patient in the TARN database using the data entry sheet. For all resource use we assigned unit costs obtained from external sources to each item (see Table 1). All costs were measured in 2004 UK sterling.

Table 1.

Unit costs

Cost component Unit or duration (min) Unit cost (£) Source and notes
Mode of arrival at hospital
 Ambulance Cost per minute 5.50 Curtis and Netten (p. 112) [16]
Cost per minute of emergency ambulance service
 Helicopter Mean cost per patient journey 1,650 London Air Ambulance website http://www.londonsairambulance.com/
Mean cost per mission
Hospital stay
 Accident and emergency department Mean cost per attender 278 Department of Health [17]
Mean cost per attender across all accident and emergency Healthcare Resource Groups
 General ward Mean cost per day 281 Department of Health [17]
Mean national average unit cost per day across all nonelective Healthcare Resource Groups
 Critical care unit Mean cost per day 1,328 Department of Health [17]
Mean cost per day in intensive care unit/intensive therapy unit
Surgical proceduresa
 Open reduction and internal fixation 126 1,597 Trauma Audit Research Network, National Institute for Health and Clinical Excellence [18]
 Nail insertion 168 1,861
 Wound debridement 139 1,680
 Manipulation of bone 69 1,230
 Screw insertion 111 1,499
 External fixation 147 1,731
 Evacuation of extradural haematoma/subdural haematoma 138 1,673
 K-wire insertion 102 1,443
 Intercranial pressure monitor 97 1,410
 Craniotomy 175 1,906

aDetails reported for the 10 most common procedures only; 103 procedures are included in the analysis. The duration and unit cost range from 10 minutes and £852 for gastroscopy to 475 minutes and £3,828 for escharatomy. The duration (min) for each procedure was computed internally using the Trauma Audit Research Network database. The unit costs were then computed by multiplying the duration by the variable cost per minute from National Institute for Health and Clinical Excellence and adding a fixed cost per procedure also taken from National Institute for Health and Clinical Excellence [18]. This method has been used in previous UK cost analyses of trauma care [19]>.

Analysis

We first examined the demographic and clinical characteristics of the study sample and the acute treatment provided across groups of patients stratified by ISS. We then computed treatment costs for every patient and calculated the mean treatment costs by patient, by injury and treatment characteristics and by ISS group.

To identify significant independent determinants of acute treatment costs we undertook multivariate regression analysis. We regressed individual-level treatment costs against patient, injury and treatment characteristics. We excluded the variables used in the construction of the treatment cost variable. The variables included in the final regression model were selected using forward stepwise and backward stepwise selection procedures, where the significance level for removal from the model was P ≥ 0.01 and the significance level for addition to the model was P < 0.005. We also included 43 hospital indicators denoting the hospital at which the patient was treated. By including these indicators we aimed to control for variations in costs that are due to variations in provider practice rather than due to injury type, severity, and general treatment patterns. We report robust standard errors that control for clustering within individuals. The model is estimated using least squares and the coefficients are marginal effects.

Some of the data collected by the TARN registry and used in the present analysis are missing in a number of patients. The main variables with missing information are the time from emergency call to arrival at the A&E department and the surgical procedures. The latter may be missing because the relevant section on the data entry sheet completed by TARN participants describing the operative procedures is completed by free text and may have been left blank. We report the numbers of observations used to calculate every statistic reported. When we calculated the acute care costs for each patient, we did so using only patients with complete data. If data for one or more of the cost components were missing for a patient we assigned a 'missing' code to the total costs incurred by that patient, and we did not include the patient in the cost calculation.

Results

Patient and injury characteristics

We identified 35,564 patients with blunt injuries (blunt injury, nonpenetrating trauma or blunt force trauma) in the study period (Table 2). Sixty percent had an ISS of 0 to 9 (21,280 patients), 17% had an ISS of 10 to 16 (6,075 patients), 12% had an ISS of 17 to 25 (4,375 patients), and 11% had an ISS of 26 to 75 (3,834 patients). Sixty-three percent of the sample was male, and the median age was 46 years (interquartile range 31 to 63 years). There was a higher than average proportion of males in the ISS 10–16 group, the ISS 17–25 group and the ISS 26–75 group, and the median age was lower in these groups.

Table 2.

Patient and injury characteristics

Injury Severity Score

0–9 10–16 17–25 26–75 All
Total number of patients 21,280 6,075 4,375 3,834 35,564
Gender (%)
 Male 55.5 69.7 75.2 76.9 62.6
 Female 44.6 30.3 24.9 23.1 37.4
Age (years)
 Median (interquartile range) 49 (33 to 66) 43 (29 to 60) 42 (29 to 58) 39 (27 to 56) 46 (31 to 63)
Cause of injury (%)
 Road traffic collisions 20.0 47.1 46.8 62.8 32.5
 Fall more than 2 metres 10.7 14.9 19.6 18.3 13.3
 Fall less than 2 metres 51.6 20.5 14.1 7.2 36.9
 Blow(s) 4.6 9.7 9.9 4.8 6.1
 Other 13.2 7.7 9.7 6.9 11.2
Glasgow Coma Score
Median (interquartile range) 15 (15 to 15) 15 (15 to 15) 15 (10 to 15) 10 (4 to 15) 15 (15 to 15)
n 19,026 5,651 3,790 3,290 31,757
Serious injuries by body region (%)a
 Head 1.7 24.0 55.2 72.1 19.7
 Face 0.2 1.2 2.9 6.3 1.3
 Thorax 1.8 12.5 28.1 54.7 12.6
 Abdomen 0.2 1.3 5.1 16.0 2.7
 Spine 2.0 6.4 9.6 12.3 4.8
 Upper limb 18.1 21.0 11.5 16.8 17.7
 Lower limb 46.4 36.0 21.7 34.5 40.3
 External/burn 0.8 2.1 3.7 2.3 1.6
Mean number of serious injuriesa 0.8 1.5 2.5 4.4 1.5
Inhospital mortality (%) 2.0 4.3 14.8 32.3 7.3

Sample size is equal to the total number other than where indicated by n.

aInjuries with an Abbreviated Injury Scale score ≥ 3.

Across all patients the most common cause of injury was falls (50%), followed by RTC (33%); RTC was the most common cause of injury among patients with an ISS of 10 to 75. The median Glasgow Coma Score was 15 (interquartile range 15 to 15) across the whole sample, but was only 10 (interquartile range 4 to 15) in the ISS 26–75 group. The most common serious injuries (with AIS ≥ 3) were injuries to the lower limbs (40%), the head (20%), the upper limbs (18%) and the chest (13%). The average patient sustained 1.5 injuries with an AIS score ≥ 3, ranging from 0.8 in the ISS 0–9 group to 4.4 in the ISS 26–75 group. Seven percent of patients died in hospital, with the highest proportion of deaths among those in the ISS 26–75 group (32%). Of the hospital deaths observed, the mean (standard deviation (SD)) time to death was 9.3 days (20.3 days) from the date of arrival at the hospital. The time to death was 7.5 days (21.7 days) for RTC, 7.6 days (17.1 days) for falls more than 2 metres, 14.4 days (19.7 days) for falls less than 2 meters, and 5.6 days (9.3 days) for blows.

Treatment characteristics

Eighty percent of the patients arrived at the hospital by ambulance, 11% by car, and 6% by helicopter (Table 3). The mean (SD) time from emergency call to arrival at the A&E department was 71 minutes (95 min), and the mean (SD) time in the A&E department was 194 minutes (155 min). Fifteen percent of patients were seen by a consultant in the A&E department, 42% were seen by a middle-grade doctor and 39% were seen by a senior house officer. The proportion seeing a consultant was highest (32%) in the most severely injured group of patients (ISS 26–75 group). Seventy-four percent of patients were seen by a doctor specialising in emergency medicine; attending specialists in orthopaedics (42%), anaesthesia (13%), neurosurgery (10%), and general surgery (9%) were also common.

Table 3.

Treatment characteristics

Injury Severity Score

0–9 10–16 17–25 26–75 All
Mode of arrival (%)
 Ambulance 77.3 85.9 86.4 80.4 80.2
 Helicopter 2.9 7.6 10.6 17.7 6.2
 Car 15.9 4.9 1.7 0.4 10.6
 Walking 1.1 0.4 0.2 0.1 0.8
 Other 2.9 1.2 1.2 1.4 2.3
n 19,713 5,625 3,875 3,559 32,772
Time from emergency call to arrival at the A&E department (minutes)a
 Mean (standard deviation) 59.6 (64.8) 70.6 (94.8) 100.9 (149.5) 100.5 (136.3) 70.7 (94.7)
n 7,493 2,247 1,482 1,307 12,529
Time in the A&E department (minutes)
 Mean (standard deviation) 217.0 (144.7) 195.9 (166.0) 149.6 (170.4) 120.5 (141.5) 193.8 (155.4)
n 14,262 4,154 3,020 2,827 24,263
Grade of most senior doctor seen in the A&E department (%)
 Consultant 9.2 18.0 24.1 32.4 14.9
 Middle grade 35.0 49.3 57.6 56.4 42.3
 Senior house officer 50.9 30.1 16.1 9.3 38.9
n 20,078 5,592 3,895 3,480 33,045
Specialty of doctors seen in the A&E department (%)b
 Emergency medicine 83.4 68.2 53.8 50.7 73.8
 Orthopaedics 48.7 39.0 27.0 29.5 42.4
 Anaesthesia 4.0 16.7 30.8 41.5 13.3
 Neurosurgery 2.5 12.8 24.2 27.0 9.5
 General surgery 3.9 12.5 16.6 21.9 8.8
 Other 9.2 15.7 22.0 22.8 13.3
n 20,263 5,651 3,994 3,588 33,496
Surgery (%)c
 Bone fixationd 60.9 38.5 19.4 18.5 47.4
 Wound debridement 5.6 8.4 5.2 5.0 6.0
 Intracranial procedurese 0.2 5.3 18.2 23.6 5.8
n 21,280 6,075 4,375 3,834 35,564
Admitted to critical care
 Percentage 9.6 31.3 61.2 79.1 29.0
n 13,427 4,374 3,256 2,895 23,952
Length of stay in critical care (days)f
 Median (interquartile range) 2 (1 to 5) 3 (2 to 7) 4 (2 to 10) 7 (3 to 15) 4 (2 to 10)
n 1,287 1,368 1,991 2,290 6,936
Total length of stay (days)g
 Median (interquartile range) 8 (5 to 14) 10 (5 to 19) 13 (6 to 26) 17 (6 to 39) 9 (5 to 19)
n 13,427 4,374 3,256 2,895 23,952
Hospital has a neurosurgical centre
 Percentage 46.9 54.4 61.2 67.4 52.2
n 21,280 6,075 4,375 3,834 35,564
Hospital has a spinal injuries unit
 Percentage 6.2 5.3 3.9 3.6 5.5
n 21,280 6,075 4,375 3,834 35,564

aAmong those arriving by ambulance at the accident and emergency (A&E) department. bPatients could be seen by doctors from more than one specialty; hence the numbers sum to more than 100%. cBased on the 10 most common procedures. dIncluding open reduction and internal fixation, nail insertion, manipulation of bone, screw insertion, external fixation and K-wire insertion. eIncluding evacuation of extradural haematoma/subdural haematoma, intracranial pressure monitor and craniotomy. fFigures pertain only to those patients who were admitted to critical care. gIncluding length of stay in critical care; figures pertain both to those who were admitted to critical care and those who were not.

Sixty nine percent of patients underwent at least one surgical procedure; the most common were bone fixation (47%), wound debridement (6%) and intracranial procedures (6%). Open reduction and internal fixation was the most common procedure in the ISS 0–9 group, the ISS 10–16 group and the ISS 17–25 group (35%, 19% and 10% of patients, respectively). Evacuation of extradural haematoma/subdural haematoma was the most common procedure in the ISS 26–75 group (9%).

Twenty-nine percent of patients were admitted to critical care. The percentage ranged from 10% in the ISS 0–9 group to 79% in the ISS 26–75 group. It is noteworthy that the percentage of patients in the ISS 26–75 group admitted to critical care was less than 100%. This finding may be explained by an insufficient number of critical care beds available to meet the demand. The median length of stay in critical care among those who were admitted was 4 days (interquartile range 2 to 10 days). As expected, the median length of stay in critical care was shortest in the ISS 0–9 group (2 days, interquartile range 1 to 5 days) and longest in the ISS 26–75 group (7 days, interquartile range 3 to 15 days). The median total length of stay, including the length of stay on a general ward and in critical care, was 9 days (interquartile range 5 to 19 days) across the whole sample – ranging from 8 days (interquartile range 5 to 14 days) in the ISS 0–9 group to 17 days (interquartile range 6 to 39 days) in the ISS 26–75 group.

Fifty-two percent of patients were treated in a hospital with a neurosurgical centre, and 6% of patients were treated in a hospital with a spinal injuries unit.

Treatment costs

The mean (SD) total hospital cost per patient was £9,530 (± 11,872) (Table 4). Across all patients, the length of stay in a general ward accounted for the largest percentage of costs (46%), followed by the length of stay in critical care (29%). The next most important component was surgical procedures (15%), followed by travel to the A&E department (5%) and A&E costs (4%). These proportions were not the same for every ISS group: for patients in the ISS 17–25 and the ISS 26–75 groups the length of stay in critical care was the largest component of cost, accounting for 42% and 52% of the mean total costs, respectively. Mean costs increased with ISS up to a mean cost of £21,173 in the ISS 26–75 group.

Table 4.

Mean treatment costs by patient and injury characteristics

Cost (£) Injury Severity Score

0–9 10–16 17–25 26–75 All
Total cost
Mean (standard deviation) 6,198 (5,782) 8,989 (10,276) 14,205 (14,910) 21,173 (20,177) 9,530 (11,872)
Median (interquartile range) 4,668 (3,475 to 6,861) 5,692 (3,632 to 9,986) 8,884 (4,660 to 18,444) 15,041 (6,205 to 30,266) 5,390 (3,626 to 9815)
n 12,775 4,105 2,910 2,678 22,468
Mean total cost
By gender
 Male 6,081 9,041 14,128 21,283 10,158
 Female 6,343 8,865 14,454 20,786 8,433
By age group
 18 to 24 years 5,506 8,053 12,808 19,495 9,563
 25 to 44 years 5,507 8,431 13,379 22,176 9,588
 45 to 64 years 6,035 9,877 15,236 23,815 9,663
 65 to 74 years 6,947 10,879 18,305 16,936 9,531
 75+ years 7,920 9,117 14,237 15,171 9,050
By cause of injury
 Road traffic collisions 7,244 9,686 15,485 22,950 12,817
 Fall more than 2 metres 5,980 9,639 13,769 19,852 10,351
 Fall less than 2 metres 6,015 7,585 12,534 13,161 6,637
 Blow(s) 5,055 6,742 10,756 14,548 7,791
 Other 5,799 9,967 14,513 21,232 8,378
By Glasgow Coma Score group
 3 to 5 14,695 17,592 17,929 21,832 19,891
 6 to 8 14,376 17,461 18,953 24,686 20,865
 9 to 12 9,064 10,809 14,623 22,157 15,800
 13 to 15 6,072 7,972 12,291 18,823 7,837
By serious injuries by body regiona
 Head 8,426 10,243 13,762 20,532 15,555
 Face 7,403 7,589 11,881 21,363 16,105
 Thorax 5,291 7,763 14,434 23,835 16,932
 Abdomen 7,062 10,341 15,760 24,075 19,983
 Spine 7,129 8,504 16,213 27,061 15,444
 Upper limb 6,108 8,192 16,302 25,534 9,885
 Lower limb 6,973 9,740 16,637 25,557 10,084
 External/burn 8,677 12,796 17,456 16,713 13,190
By number of serious injuriesa
 0 5,301 10,466 5,376
 1 6,178 7,668 11,632 13,358 6,991
 2 8,368 10,019 12,169 16,419 10,832
 3 11,210 13,047 15,490 18,721 15,588
 4 15,869 15,470 18,729 23,095 20,515
 5 or more 18,644 18,565 19,942 24,057 23,027
By discharge status
 Alive 6,129 8,872 14,423 24,268 9,457
 Dead 11,675 13,608 11,770 9,978 10,966

aInjuries with an Abbreviated Injury Scale score ≥ 3.

There was little impact of gender on costs, but costs increased with age in the ISS 0–9 group and the ISS 10–16 group, and decreased in the elderly in the other ISS groups; this age effect is possibly associated with a higher mortality in the elderly. Treatment costs were highest among patients injured in a RTC, and among patients in coma upon arrival at the hospital (Glasgow Coma Score ≤ 8). Every type of serious injury was associated with higher treatment costs; limb injuries had the smallest additional impact on cost, and abdominal injuries had the largest additional impact. Treatment costs increased with the number of serious injuries sustained by the patient.

In the ISS 0–9 group and the ISS 10–16 group, mortality was associated with higher treatment costs compared with being alive at discharge. Conversely, mortality was associated with lower treatment costs in the ISS 17–25 group and the ISS 26–75 group. Across all patients, mortality implied a slight increase in treatment costs.

The impact of treatment patterns on treatment costs are presented in Table 5. Treatment costs varied by mode of hospital arrival (helicopter is the most expensive, followed by ambulance) and the time from emergency call to arrival at the A&E department (both positively correlated), and by the time in the A&E department (negatively correlated). Mean treatment costs were higher if the patient was seen by a consultant, and if the patient was seen by a doctor from the specialties of anaesthesia, neurosurgery and general surgery. Since the unit costs used in the analysis do not vary by the grade or specialty of the doctors seen in the A&E department, the observed variation in costs by the type of doctor relate to variations in surgery and length of stay, which in turn are affected by injury severity. Patients who were seen by a consultant had more severe injuries than those who were seen by less senior medical personnel, which probably explains the higher costs incurred by this group (mean ISS 17.8 versus 12.0, mean difference 5.8, 95% confidence interval 5.5 to 6.2). Patients treated by doctors from anaesthesia, neurosurgery and general surgery were also more severely injured than those who did not see doctors from these specialties (mean ISS 20.6 versus 10.5, mean difference 10.1, 95% confidence interval 9.8 to 10.3).

Table 5.

Mean treatment costs by treatment characteristics

Mean total cost (£) Injury Severity Score

0–9 10–16 17–25 26–75 All
By mode of arrival
 Ambulance 6,521 9,044 13,774 19,824 9,575
 Helicopter 8,939 11,465 18,006 26,608 16,692
 Car 4,266 4,580 6,392 5,602 4,346
By time from emergency call to arrival at the A&E departmenta
 0 to 1 hours 6,267 8,635 13,243 17,507 8,651
 1 to 2 hours 6,680 8,899 14,482 19,982 9,405
 2 to 3 hours 8,618 12,693 10,931 29,073 13,083
 3 to 4 hours 12,680 16,074 18,024 26,440 19,286
 4+ hours 12,087 14,780 16,875 23,601 17,537
By time in the A&E department
 0 to 1 hours 7,917 11,566 16,465 21,805 14,254
 1 to 2 hours 6,512 10,686 18,447 23,575 11,122
 2 to 3 hours 6,246 8,833 15,109 22,215 8,984
 3 to 4 hours 5,730 7,834 14,139 20,648 8,097
 4+ hours 5,898 7,896 12,198 19,172 8,038
By grade of most senior doctor seen in the A&E department
 Consultant 7,283 10,290 15,562 22,261 12,974
 Middle grade 6,508 9,350 14,185 20,983 10,524
 Senior house officer 5,755 7,227 11,453 16,135 6,585
By specialty of doctors seen in the A&E department
 Emergency medicine 5,906 8,009 13,138 19,844 8,144
 Orthopaedics 6,195 9,154 14,805 23,605 8,912
 Anaesthesia 10,091 13,162 18,272 23,820 17,697
 Neurosurgery 7,858 10,396 14,361 20,906 14,336
 General surgery 8,033 10,346 15,939 23,880 14,877
By surgeryb
 Bone fixationc
  No 6,076 9,032 13,577 19,986 10,469
  Yes 6,290 8,909 16,793 26,135 8,323
 Wound debridement
  No 5,998 8,761 14,045 20,726 9,308
  Yes 9,149 11,302 16,683 27,938 12,592
 Intracranial proceduresd
  No 6,169 8,418 13,311 20,678 8,877
  Yes 22,430 21,006 19,535 23,157 21,495
By length of stay in critical care
 0 days 5,436 5,628 5,711 5,177 5,480
 1 to 5 days 9,514 9,962 10,357 9,866 9,936
 6 to 10 days 18,914 20,906 20,086 21,624 20,716
 11+ days 42,767 41,730 41,827 45,135 43,589
By total length of staye
 0 to 5 days 3,270 3,142 3,611 3,958 3,350
 6 to 10 days 4,544 5,116 6,538 9,074 5,116
 11 to 20 days 6,658 8,346 10,858 15,136 8,420
 21 to 30 days 10,358 13,472 18,700 21,797 14,344
 31 to 40 days 13,830 17,890 23,734 30,116 20,142
 41 to 50 days 15,949 22,869 29,074 36,596 25,175
 51+ days 26,791 34,697 41,630 49,338 39,025

A&E, accident and emergency. aAmong those arriving by ambulance. bBased on the 10 most common procedures. cIncluding open reduction and internal fixation, nail insertion, manipulation of bone, screw insertion, external fixation and K-wire insertion. dIncluding evacuation of extradural haematoma/subdural haematoma, intracranial pressure monitor and craniotomy. eIncluding length of stay in critical care; figures pertain both to those who were admitted to critical care and those who were not.

Surgery for bone fixation was associated with higher treatment costs among patients in some, but not all, ISS groups. Wound debridement and intracranial procedures were associated with higher mean costs in all ISS groups.

As expected, treatment costs were positively correlated with the length of stay – both for critical care length of stay and for total length of stay. Mean treatment costs did not vary by whether or not the hospital in which the patient was treated had either a neurosurgical centre or a spinal injuries unit.

Multivariate analysis

The results of the multivariate regression analysis of costs are presented in Table 6. The covariates explain 28% of the variation in hospital costs. The most significant determinants of costs were ISS and age (both positively correlated with costs), RTC (significantly higher costs than other causes), and Glasgow Coma Score (negatively correlated with costs, indicating greater severity was associated with higher costs). Serious injuries of the abdomen, thorax, spine and upper and lower limbs were significantly associated with higher treatment costs, while hospital mortality was significantly associated with lower treatment costs. Being seen in the A&E department by a consultant or middle-grade doctor was associated with significantly higher costs than being seen by a senior house officer, and being seen by a doctor from the specialties of anaesthesia or general surgery was also associated with a significant increase in treatment cost. Treatment costs were significantly lower in 2004 and 2005 compared with 2000 to 2003.

Table 6.

Multivariate analysis of treatment costs

Coefficient t statistic P value
Injury Severity Scalea
 10 to 16 1,062.3 5.8 <0.001
 17 to 25 4,328.1 13.5 <0.001
 26 to 75 8,921.9 18.4 <0.001
Age groupb
 25 to 44 years 1,188.3 5.8 <0.001
 45 to 64 years 2,777.8 11.9 <0.001
 65 to 74 years 4,080.4 12.4 <0.001
 75+ years 5,109.6 17.6 <0.001
Cause of injuryc
 Fall more than 2 metres -795.4 -3.3 0.001
 Fall less than 2 metres -1,751.8 -9.9 <0.001
 Blow(s) -1,700.0 -6.0 <0.001
Glasgow Coma Scored
 9 to 12 -4,863.9 -6.90 <0.001
 13 to 15 -8,819.9 -16.5 <0.001
Serious injuries by body regione
 Abdomen 3,656.3 4.5 <0.001
 Thorax 1,706.0 5.0 <0.001
 Spine 4,512.9 7.9 <0.001
 Upper limb 1,406.4 7.0 <0.001
 Lower limb 3,220.3 20.5 <0.001
Discharge status: dead -8,678.1 -12.8 <0.001
Grade of most senior doctor seen in the A&E departmentf
 Consultant 1,841.5 7.3 <0.001
 Middle grade 518.7 3.8 <0.001
Specialty of doctors seen in the A&E department
 Anaesthesia 2,476.1 6.3 <0.001
 General surgery 1,409.6 3.8 <0.001
Year of admissiong
 2004 -633.4 -3.3 0.001
 2005 -1,152.7 -5.1 <0.001
Observations 19,441
Adjusted R2 0.283

Model also includes 43 hospital indicators. A&E, accident and emergency. aOmitted category is 0 to 9. bOmitted category is 18 to 24 years. cOmitted category is road traffic collision. dOmitted category is 3 to 8. eInjuries with an Abbreviated Injury Scale score ≥ 3. fOmitted category is senior house officer. gOmitted category is 2000 to 2003.

Discussion

This study provides the first detailed description of the demographic and clinical characteristics of blunt trauma patients in England and Wales, their causes of injury, the acute treatment received and outcomes. The present study is the first to provide a detailed assessment of the NHS hospital costs associated with blunt trauma in England and Wales. The average blunt trauma patient was male, 46 years old, injured by a fall, with an ISS in the range 0 to 9. The most frequent serious injuries were to the upper and lower limbs, head and chest. Around 30% of all blunt trauma patients were admitted to critical care for a median of 4 days. The total median hospital length of stay was 9 days; 7% of the patients died before hospital discharge. The average cost of acute treatment to the NHS was £9,500 per patient.

Few studies have been published on the cost of acute treatment for blunt trauma in the United Kingdom; hence it is difficult to assess the robustness of our cost estimates. In one study, Sikand and colleagues examined the cost implications of treating 69 polytrauma patients (defined as ISS > 15) admitted to an English university hospital in 2000 [15]. The authors reported an average cost of acute care of £14,129 per patient. In our study the costs per patient with ISS > 15 are slightly higher at £16,776; presumably the small difference is explained mainly by changes in NHS pay and prices over time.

Our results suggest that influential determinants of cost were the cause of injury (especially falls and RTCs) and the age of the patient. This influence emphasises the importance of continued public health education and accident prevention measures. From the hospital perspective, the most important cost drivers are length of stay in critical care and total hospital length of stay, accounting for 75% of total costs and far exceeding other components such as transport to hospital, immediate resuscitation in the A&E department, and trauma surgery. In the hospital setting, this suggests that steps to reduce the hospital length of stay (such as expeditious surgery, reduced discharge delays from critical care, outreach services support and earlier placement on a rehabilitation programme) are likely to be more effective, all else equal, than other measures aimed at reducing the costs of blunt trauma care.

The year of admission was a significant predictor of costs, with lower mean treatment costs in the latter part of our study. This may be due to changes in the NHS costs over the period 2000 to 2005, or to improvement in the hospital care pathways introduced to enhance the cost-effectiveness of trauma care; however, the time series is too short to be able to draw any firm conclusions.

We chose to examine the costs of blunt trauma because, in the United Kingdom, this is the largest group of trauma patients – representing 98% of patients in the TARN registry. Any interventions directed at blunt trauma victims or improvements in the care of blunt trauma victims are therefore likely to have the largest public health benefit.

Since 1994 the Department for Transport in England has published annual costs estimates for road casualties for use in cost–benefit analyses of road safety schemes. The latest estimates of the medical and ambulance costs associated with slight, serious and fatal injuries from road traffic collisions in 2005 were £850, £11,460 and £840, respectively [8]. The mean medical and ambulance costs across all casualties were £1,980. These cost estimates represent figures updated from a 1994 study and are significantly lower than the costs observed in our study: the mean costs per person injured in a road traffic collision were £12,800, ranging from £7,200 for the least severely injured to £23,000 for the most severely injured patients. The mean treatment costs in our study among those who died in a RTC were £12,000. If the Department of Transport figures underestimate the true costs of road trauma then they are likely to underestimate the value of potential road safety schemes. The cost estimates generated in our study are likely to be biased upwards because they exclude patients who died before they reached the hospital, and exclude patients hospitalised for less than 3 days and without admission to an intensive care unit/high dependency unit. Both of these patient groups would probably have incurred lower hospital costs than those in our study. Nonetheless, our figures suggest that the cost estimates used by the Department of Transport should be updated.

The mortality rate observed in the current study (7%) suggests that no improvement in survival after blunt trauma has occurred over the past decade in England and Wales. In the most recent assessment among 129,979 blunt trauma patients admitted to hospital between 1989 and 2000, the in-hospital mortality rate was 5.6% among patients with a complete revised trauma score (107,282 patients) and 7.4% among those with an incomplete revised trauma score (46,949 patients) [9]. The authors of the study reported a decline in the severity adjusted odds of death of 3% per year since 1989, although much of the reduction occurred between 1989 and 1994.

We acknowledge a number of limitations to our study. First, we did not include treatment cost occurring after the initial hospitalisation period, including the costs of rehabilitation, home care support and any subsequent hospitalisations related to blunt trauma.

Second, the retrospective nature of the study implies reliance on the quality and completeness of the data reported to the TARN registry. We observed incomplete data on a number of important treatment parameters, particularly the time from emergency call to arrival at the A&E department and surgical procedures. If these data, particularly those relating to surgical procedures, are not missing at random across the recorded patient characteristics, then our results could be biased.

Third, we excluded patients who were admitted for fewer than 3 days and who died before they reached the hospital. Those patients who were not admitted and those who died will have incurred lower treatment costs than those who were admitted, and therefore our estimates are likely to have overestimated the costs of blunt trauma care. Since those who were not admitted are likely to be less severely injured than those patients who were admitted, the extent of the overestimation is likely to be higher for those in the less severely injured ISS groups.

Fourth, the indirect costs related to lost productivity and time spent away from other activities, as well as the costs associated with the pain and suffering by victims and relatives, were not included. The cost of follow-up care and the indirect costs can be substantial, and are likely to represent the majority of the lifetime societal costs of blunt trauma.

Finally, the unit costs used in the analysis are, by necessity, crude. In particular, the unit costs of hospital stays are not specific to blunt trauma patients. Clearly it would have been more appropriate to use the actual costs incurred by each trauma patient included in the analysis, yet these data were not available for our study.

Conclusion

In this study we provide the first detailed information on treatment patterns, mortality and costs of blunt trauma in the acute care setting in England and Wales. Our findings indicate that the initial hospital costs associated with blunt trauma vary significantly by patient characteristics, by injury characteristics and by treatment characteristics. The largest component of treatment cost, however, is determined by the total hospital length of stay. Measures to reduce the hospital length of stay – either directly in terms of organisation and staffing, or indirectly in terms of better health outcomes – are likely to be the most effective in reducing the costs of blunt trauma care.

Key messages

• The mean acute hospital cost per blunt trauma patient in England during 2000 to 2005 was £9,530.

• The length of stay on a general ward accounted for the largest percentage of these costs (46%), followed by the length of stay in critical care (29%).

• Acute hospital costs vary significantly by Glasgow Coma Score, ISS, age, cause of injury, body region of injury, hospital mortality, grade and specialty of doctor seen in the A&E department, and year of admission.

Abbreviations

A&E = accident and emergency; AIS = Abbreviated Injury Scale; ISS = Injury Severity Score; NHS = National Health Service; RTC = road traffic collision; SD = standard deviation; TARN = Trauma Audit Research Network.

Competing interests

The present study was funded by Novo Nordisk A/S. MCC is an employee of Novo Nordisk A/S, and VM is an employee of Novo Nordisk Ltd. SM has received consultancy fees and SR has received honoraria from Novo Nordisk Ltd. TARN received an unrestricted grant for making data available for the present study.

Authors' contributions

MCC conceived of the study, participated in study design and coordination, interpreted data, and helped to draft the manuscript. SM participated in the design of the study, performed the statistical analyses, and helped to draft the manuscript. SR and VM participated in the study design and interpretation of data, and helped to draft the manuscript. FEL participated in the study design, the coordination of data collection, and helped to draft the manuscript. All authors read and approved the final manuscript.

Acknowledgments

Acknowledgements

The authors would like to thank Omar Bouamra and Tom Jenks at the Trauma Audit Research Network for providing the data used in this study, and gratefully acknowledge the huge effort made by individual clinicians and hospitals in collecting and submitting raw data to the TARN database. The TARN is funded by its participating hospitals. The authors would also like to thank Tina G Nielsen, Novo Nordisk A/S, for her helpful comments.

Contributor Information

Michael C Christensen, Email: mcrc@novonordisk.com.

Saxon Ridley, Email: saxon@ridley.waitrose.com.

Fiona E Lecky, Email: Fiona.E.Lecky@manchester.ac.uk.

Vicki Munro, Email: vicm@novonordisk.com.

Stephen Morris, Email: Stephen.Morris@brunel.ac.uk.

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