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International benchmarking of tertiary trauma centers: productivity and throughput approach
© Peltokorpi et al; licensee BioMed Central Ltd. 2011
- Received: 15 November 2010
- Accepted: 3 August 2011
- Published: 3 August 2011
Care process in tertiary trauma centers consists of a chain of care phases in different departments from the emergency department (ED) to post-operative rehabilitation. The historical evolution of healthcare systems and organizations has led to variations in trauma patient processes in different countries. The present study is aimed at revealing differences in the throughput and productivity of trauma patient processes between German (UKB) and Finnish (HUS) tertiary trauma centers. Problems related to the comparison of different healthcare systems were also identified. The share of patients discharged was used as a control measure.
The biggest differences between the hospitals were found in the use of resources in the ED and in post-operative care. Despite problems in defining comparable patients and resources, ED productivity was significantly higher in UKB. Post-operative care was, on average, 41% shorter in HUS. However, the share of patients discharged was significantly higher in UKB (96.5% vs. 68.9%). Differences were also found in the pre-operative length of stay of patients with proximal femoral fractures (UKB: 0.97 days, HUS: 1.57 days). The productivity of the operating unit was quite similar in the hospitals. In terms of ED mortality, no statistically significant differences were found.
The results of the present study showed significant differences in the use of resources and throughput times in trauma patient processes between Finnish and German hospitals. However, due to system-level differences between German and Finnish healthcare, the results cannot be directly transformed into development proposals for the organizations. On the other hand, in spite of certain differences regarding the healthcare systems, the demographic data of the trauma patients and medical procedures are comparable. Based on the present study, the ED process of severe trauma, pre-operative care, and operating unit processes were the most comparable parts of trauma care between the hospitals. The study also showed that the international benchmarking approach could be used to reveal bottlenecks in system-level policies and practices.
- Emergency Department
- Trauma Patient
- Trauma Center
- Trauma Care
- Proximal Femoral Fracture
Producing excellent patient care outcomes and maintaining high productivity at the same time are especially challenging in trauma hospitals. Tertiary trauma centers usually have one of the most complex case mixes among hospitals: Instead of process-based care protocols, a remarkable number of patients have to be cared as a project due to the number and severity of their injuries. In light of work by Schmenner , from a service operations management point of view, project-based care means that the variation in resource use is large between patients and between trauma centers.
A reliable comparison of trauma patient care is possible only between hospitals with a similar focus and patient mix. Since tertiary trauma centers are typically responsible for taking care of the most severe injuries in the center's regional catchment area as well as from even longer distances (e.g., surrounding rural areas), finding similar hospitals inside the same region is typically not possible. Therefore, analyzing the performance with benchmarking has to be understood in a wider context, such as comparing trauma centers in metropolitan areas and internationally . International benchmarking could also reveal bottlenecks in healthcare system-level policies that should be discussed in a wider forum . Such benchmarking could provide evidence of socially optimal structures in the provision and financing of healthcare .
In the area of healthcare, international benchmarking was first applied during the 1980s at the policy and system levels by the OECD and WHO . Since then, the approach has been used more and more in comparing hospitals [2, 4, 5] and care processes . In recent studies, international benchmarking has been extended to also cover trauma centers. Gabbe et al.  compared outcomes following major trauma in an inclusive trauma system (Victoria, Australia) and a setting where rationalization of trauma services is absent (England and Wales). Schuetz et al.  benchmarked trauma care performance in a tertiary hospital in Queensland and in European trauma centers. In trauma benchmarking studies, mortality has been one of the most frequently used outcome measures, [7–9] whereas throughput time before arrival at the hospital, in the emergency department (ED), and of in-patient care have been used as process measures [8, 10, 11]. Also, productivity measures, such as the number of patients seen by a physician and the nurse-physician ratio, have been widely used [11–14].
Based on previous research, most remarkable differences between hospitals have been seen in the length of stays and the use of intensive care units (ICU) of comparable trauma patients. However, clear reasons for these differences are seldom identified. In the present study, the productivity and throughput of the trauma patient process were benchmarked between Finnish and German tertiary trauma centers. The primary focus is on identifying practices that explain differences in productivity and throughput. Care outcome was considered a secondary measure. Special attention was paid in discussions with the hospital managers to the observed differences in order to ascertain the underlying reasons.
The present study is aimed at revealing features in organizational structures and management practices that enable higher productivity and throughput of trauma patient care. The essential question is to analyze how many resources were used to care for comparable trauma patients in different hospitals and the main reasons behind the differences. The outcome of care was analyzed only to verify that the current managerial practices were not destructive to care quality and patient safety.
Since the aim of the study is to conduct a deep performance analysis of several phases in trauma patient care, only two tertiary trauma centers, Unfallkrankenhaus Berlin (UKB) in Germany and Töölö Acute Trauma Hospital (HUS) in Finland, were benchmarked. The hospitals were selected based on their representativeness as a tertiary trauma center in a metropolitan area and their project cooperation with Aalto University. The trauma patient was defined as someone with a trauma injury who needs surgical care, either operative or non-operative, within three weeks. Trauma patient care was considered in four phases: emergency department care, pre-operative care, operating unit care, and post-operative care. In the ICU the analysis was restricted to comparing the number of beds and personnel resources per trauma patient. In the present study, the benchmarking method focused on evaluating performance in the two hospitals and revealing the factors behind the perceived performance.
Both benchmarked trauma centers have a high academic research and teaching status.
UKB is one of the largest tertiary trauma centers in Germany. The hospital consists of a coordinated structure of 20 specialized departments and institutes. UKB's primary catchment area is about 260,000 inhabitants. In addition, it serves patients in the whole region of Berlin (3.3 million inhabitants) with five other trauma hospitals nationally. Each year, more than 49,000 emergency patients are treated at UKB, of whom more than 12,000 are admitted for in-patient care. The hospital provides jobs for 1,260 employees, and it has 538 beds and 13 operating rooms (ORs). It also has emergency service vehicles and a helicopter based on the top of the hospital building.
Töölö Hospital (HUS) is the largest trauma center in Finland. This hospital is responsible for caring for patients with severe trauma in the southern part of Finland and certain specific patient groups nationally. The primary catchment area of the hospital is about 600,000 inhabitants, and the tertiary area, about 1.5 million inhabitants. The hospital consists of five disciplines: orthopedics and traumatology, hand surgery, neurosurgery, plastic and reconstructive surgery, and acute oral and maxillofacial surgery. About 19,000 patients are treated annually in the ED, of whom 7,000 are admitted to the hospital. The hospital has 192 ward beds and 14 operating rooms (ORs).
Study variables and data gathering
Trauma patient care consists of a chain of care phases provided by several units inside the hospital: the ED, ICUs, ORs, and pre- and post-operative ward units. When comparing the total performance of the trauma patient process, it is important to analyze the whole chain in the hospital and how the overall performance consists of partial productivities and outcomes in different care phases .
Study variables used in the benchmarking study
Measures for all trauma patients
Measures for patients with proximal femoral fractures
ED visits per year (n)
ISS ≥15/22 patients per year (n)
Trauma team activations per year (n)
ED visits admitted to hospital (n/%)
Acute surgeries (n/%)
Acute trauma surgeries (n/%)
Surgeries per year (n)
Mean patient age (years)
ED volumes per physician/nurse/total personnel in ED (n)
Acute surgeries per physician/nurse/total personnel in ED (n)
Trauma surgeries per surgeon/anesthesiologist/nurse in operating units (n)
Trauma surgery time per surgeon/anesthesiologist/nurses in operating units (n)
Average pre-operative length of stay (LOS) per urgency category (hours)
Share of trauma patients operated within first/second day (%)
Average post-operative LOS (days)
Average total LOS (days)
Average pre-operative LOS (hours)
Average post-operative LOS (days)
Average surgery time (min)
ED mortality rate (excluding death-on-arrival patients) (%)
Share of non-admitted ED patients (%)
Share of trauma patients discharged from ward (%)
Share of patients discharged (%)
Throughput was defined as a patient's length of stay during the care phase. Throughput times were calculated separately for the ED process, pre-operative stay in the hospital, and post-operative care. Due to the different urgencies and recovery processes of different trauma patients, throughput times were calculated separately for patients with proximal femoral fracture, who accounted for one of the most common shared patient groups in the hospitals.
The study variables were divided into four categories: basic information, outcome measures, productivity measures, and throughput measures. Basic information measures were used to reveal variations in case mixes and hospital profiles. The underlying assumption was that patients with high ISS or trauma team activation need more resources than walking patients. The ED mortality rate and the share of patients discharged were used as the outcome measures of trauma care.
The study material consisted of data from interviews, process documents, observations, and information systems. Hospital personnel from the ED, ward units, and operating units were interviewed about management responsibilities, personnel resources, care processes and practices, responsibilities for care decisions, space and facilities, patient transfers, and planning methods. Interviews and discussions with hospital management were also used for mapping system-level features, including ownership and funding, organization of care, and catchment areas.
Documents were gathered from all patient groups whose care process was systematically mapped. Observations included visits by HUS doctors to UKB and researchers' observations in the EDs, wards, and ORs in both hospitals. The aim of the observations was to verify that the mapped processes worked as planned and to make remarks about the resources and process practices that were not mentioned in the interviews.
The process data of patients served during a 12-month period was gathered retrospectively from the hospital databases. The UKB data included patients in 2006 and the HUS data included patients in 2008. The different time periods were due to the project cooperation schedule. The data included patient diagnoses, procedures, urgencies, unit and OR identification, surgeon identification, and the next time stamps of the OR process and unit transfers: patient arrives in the ED, patient discharged from the ED, patient transferred to the OR, surgery starts, surgery ends, patient discharged from the OR, patient discharged from the hospital.
Basic information about the case hospitals
Basic information measures
ED visits per year
ISS ≥15 patients per year
ISS ≥22 patients per year
Trauma team activations per year (n/% of all visits)
ED admissions to the hospital (n/%)
Acute surgeries (n/%)
Acute O&T surgeries (n/%)
Performance measures of the whole process
ED visits per physician workday
ED visits per nurse and secretary workday
Decisions for surgery per ED physician workday
Decisions for surgery per ED nurse and secretary workday
Surgeries per year per anesthesiologist
Surgeries per year per nurse in operating unit
Surgery hours per year per anesthesiologist
Surgery hours per year per nurse in operating unit
O&T surgeries per specialist
O&T surgery hours per specialist
Pre-operative LOS, emergency patients [hours]
Pre-operative LOS, other urgent patients [days]
Share of trauma patients operated on within the first day
Share of trauma patients operated on within two days
Total LOS, all surgical patients [days]
Total LOS, O&T surgical patients [days]
ED mortality rate (excluding death-on-arrival patients)
Share of non-admitted ED patients (%)
Share of trauma patients discharged from ward
Mortality in the ED was a little higher in UKB. About two thirds of the ED patients were discharged in both hospitals. One of the biggest differences was found in the discharge rate after surgery: Only 3.5% of O&T surgical patients at UKB were transferred to another hospital, whereas more than 30% at HUS were transferred. UKB seemed to rehabilitate patients more than HUS, and this was also seen in patients' significantly longer stays (LOSs) in UKB.
Performance in the care process of patients with proximal femoral fractures
Surgeries per year
Mean patient age [years]
Share of patients discharged
Pre-operative LOS [days]
Post-operative LOS [days]
Surgery time [h:mm]
Main remarks about the features in the system level, processes, and management practices in the study hospitals
Level of analysis
Ownership & funding
Worker's foundation owned academic hospital, primarily for occupational injuries, but not exclusive
60% of patients occupationally insured, others with private or social insurance
Public-funded university hospital
100% of patient care funded by municipalities' income taxes
Organization of care
All trauma patients (referred and non-referred) are taken care of
Primary trauma care is usually not taken care of; mostly, referred patients are seen
Secondary: 3.3 M (competing for customers with 5 tertiary trauma centers); calculated average, 550,000
Tertiary: 7.7 M (competing for customers with 9 tertiary trauma centers); calculated average, 770,000
Tertiary: 1.5 M
Process and management features of trauma patients
Acute patient volumes
ED visits: 49,000 per year
⇒ ED admissions to hospital: 12,400 (25%)
⇒ Acute surgeries: 6,520 (for 4,660 patients)
⇒ Acute O&T surgeries: 2,280 (for 1,780 patients)
ED visits: 19,400 per year
⇒ ED admissions to hospital: 6,960 (36%)
⇒ Acute surgeries: 6,800 (for 5,140 patients)
⇒ Acute O&T surgeries: 3,550 (for 2,990 patients)
All patients admitted to the ED. Rapid response and patient categorization highlighted in the reception
Lean approach applied, especially in trauma team activations
IT system supports rapid response and shift to the next phase of care
Non-severe primary traumas are directed to other hospitals
Regional and national responsibility over care after catastrophes highlighted by the management
Focus on maintaining capacity and readiness to receive multi-traumas and multiple patient scenarios in any circumstances
Patient transferred directly to an operating room or a ward unit
Ward care conducted primarily in sub-specialty-focused ward units. High flexibility, however, between wards to accommodate patients from other sub-specialties
Most patients transferred to a dedicated ward unit for pre-operative trauma patients. Emergencies transferred directly to an operating room
"Green line" is used a lot to discharge less severe trauma patients from the ED and to schedule a surgery in a defined operating room session within several days
Large multi-specialty operating unit. In addition, a couple of operating rooms for day surgeries
Anesthesia induction conducted in a separate room in every surgery
One anesthesiologist is responsible for one operating room
Dedicated operating units for O&T, neurosurgery, plastic and reconstructive surgery, and day surgery
Anesthesia induction conducted in a separate room in a small part of surgeries
One anesthesiologist is responsible for one to three operating rooms
Conducted in the same ward as pre-operative care. Integrated rehabilitation care; almost all patients are discharged to home
Immediate post-operative care conducted in wards dedicated to certain injuries of different body parts
Rehabilitation conducted mainly in communal hospitals
Total length of stay is significantly shorter in HUS
ED productivity is higher in UKB
Based on the discussion and evaluation of the results with the hospital managers, several underlying reasons for the differences were identified. First, HUS transferred many patients to regional hospitals that preside over the rehabilitation process. This policy is a result of limited bed capacity in trauma hospitals, Finnish municipalities' aim to use their own lower-cost hospital capacity for non-specialized care, and a trend towards rehabilitating patients near their homes. Second, in Germany, insurance policy defines the minimum length of stay for most cases. This was proposed to explain the proportionally longer LOSs in UKB, especially for minor traumas. However, at present, the goal is to adopt shorter LOSs like those seen in Finland. ED productivity was higher in UKB primarily due to leaner nurse staffing. Discussions with hospital managers demonstrated that UKB has a more suitable ED layout. Managers also argued that differences in patient profiles could partially explain the higher resource availability in HUS's ED.
The aim of the study is to identify differences in the performance of trauma hospitals and to reveal the variables in the system environment, strategic decisions, and operational practices behind those differences. The results show reasons for the differences at all three levels.
At the system level, many differences are related to funding and its effect, e.g., on hospital stays. The study results show that both non-integrated special and primary care and conditions of insurance could have a limiting effect on the efficiency of organizations and care processes. In addition, differences in nurse staffing in the ED can partially be explained by education and labor market issues at the system level. Based on recent statistics, there are 50% more nurses per capita in Finland compared to Germany . That statistic was also reflected in the study results. When benchmarking more hospitals from several countries, it can be assumed that more variables in the system environment that affect overall performance will be found. Differences at the system level should be presented to the politicians and managers responsible for addressing such issues.
Although the phases of the trauma care process were quite similar in the hospitals, remarkable differences were found in the use of resources during each phase. The study also revealed that the trauma care process has universal primary objectives, but the sub-objectives differ between units. For example, the EDs in both hospitals are focused very intensively on a short care process and rapid transfer to the next care phase. However, their resource composition was quite different, focusing on physicians in Germany and on nurses in Finland. As a result, resource use per patient was different. Similarly, the surgical units in both hospitals focused strongly on high resource utilization and dedicated personnel per OR session. That led to quite similar productivity results in the surgical units. This might also indicate that the productivity approach is more thoroughly applied globally in a surgical unit environment than in other departments in hospitals.
The high variation in post-operative care between the hospitals was noteworthy in this study. At a more general level, the result raises the question as to whether international differences in resource use and productivity are higher in less acute and less protocol-based care phases such as rehabilitation than in emergency and precise care. The results of previous benchmarking studies support this conclusion . Rehabilitation is more strongly connected with system-level and society features, such as the occupational health system and relatives' support, than more medically oriented pre-operative examinations and surgical operations. Those features can also affect diversified resource use and processes in rehabilitation between countries. Statistics also show that there are more hospital beds per capita in Germany compared to Finland . However, the difference is not as major as in the duration of post-operative care between the trauma centers, reflecting that in Finland the role of regional hospitals is emphasized in patient rehabilitation.
With respect to post-operative care, this study was limited to comparing the use of resources, LOS, and rehabilitation results only in tertiary trauma centers. Therefore, in the future, research should include all the units providing post-operative care in the comparisons. There is also a need for studies analyzing and comparing qualitative rehabilitation results more thoroughly.
The power of the international comparison utilized in this study is that it can reveal performance differences to a higher degree than differences between organizations in the same region. This increases the possibility that the difference is not invalidated by practitioners due to, e.g., accuracy issues, but is responded to seriously. Although there are always some data compatibility problems, international benchmarking makes identifying practices that enable remarkable improvements instead of marginal changes possible.
The study showed that international benchmarking can be a potential source for new practices and improvements in healthcare. As Booth et al.  argue, benchmarking within healthcare should be seen as indicating areas that may be looked at in further detail. The benchmarking of trauma centers is not the end of the story, merely the beginning.
- Schmenner R: Service businesses and productivity. Decision Sciences. 2004, 35: 333-347. 10.1111/j.0011-7315.2004.02558.x.View ArticleGoogle Scholar
- Booth M, James P, Stevanovic V: Benchmarking of hospital activity data: an international comparison. Benchmarking: An International Journal. 2005, 12: 515-522. 10.1108/14635770510628654.View ArticleGoogle Scholar
- Wait S, Nolte E: Benchmarking health systems: trends, conceptual issues and future perspectives. Benchmarking: An International Journal. 2005, 12: 436-448. 10.1108/14635770510619366.View ArticleGoogle Scholar
- Linna M, Häkkinen U, Magnussen J: Comparing hospital cost efficiency between Norway and Finland. Health Policy. 2006, 77: 268-278. 10.1016/j.healthpol.2005.07.019.View ArticlePubMedGoogle Scholar
- Mobley LR, Magnussen J: An international comparison of hospital efficiency: does institutional environment matter?. Applied Economics. 1998, 30: 1089-1100. 10.1080/000368498325255.View ArticleGoogle Scholar
- Hansen KK, Zwanziger J: Marginal costs in general acute care hospitals: a comparison among California, New York and Canada. Health Economics. 1996, 5: 195-216. 10.1002/(SICI)1099-1050(199605)5:3<195::AID-HEC201>3.0.CO;2-Q.View ArticlePubMedGoogle Scholar
- Gabbe B, Lecky F, Bouamra O, Woodford M, Jenks T, Coats T, Cameron P: The Effect of an Organized Trauma System on Mortality in Major Trauma Involving Serious Head Injury: A Comparison of the United Kingdom and Victoria, Australia. Annals of Surgery. 2011, 253 (1): 138-143. 10.1097/SLA.0b013e3181f6685b.View ArticlePubMedGoogle Scholar
- Schuetz M, Nijboer A, McNamee A, Nielsen S: Development of a comprehensive trauma system in Queensland - Benchmarking trauma care performance in a tertiary hospital in Queensland to European trauma centers. Journal of Bone and Joint Surgery - British Volume. 2010, 92:Google Scholar
- MacKenzie E, Rivara F, Jurkovich G, Nathens A, Frey K, Egleston B, Salkever D, Scharfstein D: A national evaluation of the effect of trauma-center care on mortality. New England Journal of Medicine. 2006, 354: 366-378. 10.1056/NEJMsa052049.View ArticlePubMedGoogle Scholar
- Shafi S, Barnes S, Nicewander D, Ballard D, Nathens A, Ingraham A, Hemmila M, Goble S, Neal M, Pasquale M, Fildes J, Gentilello L: Health Care Reform at Trauma Centers--Mortality, Complications, and Length of Stay. Journal of Trauma-Injury Infection & Critical Care. 2010, 69: 1367-1371. 10.1097/TA.0b013e3181fb785d.View ArticleGoogle Scholar
- Hyer N, Wemmerlöv U, Morris J: Performance analysis of a focused hospital unit: The case of an integrated trauma center. Journal of Operations Management. 2009, 27: 203-219. 10.1016/j.jom.2008.08.003.View ArticleGoogle Scholar
- DeBehnke D, O'Brien S, Leschke R: Emergency medicine resident work productivity in an academic emergency department. Academic Emergency Medicine. 2000, 7: 90-92. 10.1111/j.1553-2712.2000.tb01899.x.View ArticlePubMedGoogle Scholar
- Sucov A, Sidman R, Valente J: A cost-efficiency analysis to increase clinician staffing in an academic emergency department. Academic Medicine. 2009, 84: 1211-1216. 10.1097/ACM.0b013e3181b187fc.View ArticlePubMedGoogle Scholar
- Jeanmonod R, Brook C, Winther M, Pathak S, Boyd M: Resident productivity as a function of emergency department volume, shift time of day, and cumulative time in the emergency department. The American Journal of Emergency Medicine. 2009, 27: 313-319. 10.1016/j.ajem.2008.03.002.View ArticlePubMedGoogle Scholar
- Kosar S, Seelen H, Hemmen B, Evers S, Brink P: Cost-effectiveness of an integrated 'fast track' rehabilitation service for multi-trauma patients involving dedicated early rehabilitation intervention programs: design of a prospective, multi-centre, non-randomised clinical trial. Journal of Trauma Management & Outcomes. 2009, 3: 1-10.1186/1752-2897-3-1.View ArticleGoogle Scholar
- Veillard J, Champagne F, Klazinga N, Kazandjian V, Arah OA, Guisset A-L: A performance assessment framework for hospitals: the WHO regional office for Europe PATH project. International Journal for Quality in Health Care. 2005, 7: 1-10.Google Scholar
- Nationmaster. Health Statistics by country.http://www.nationmaster.com/cat/hea-health
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