Health care consumption and costs due to foot and ankle injuries in the Netherlands, 1986–2010
- A Siebe De Boer†1,
- Tim Schepers†1,
- Martien JM Panneman2,
- Ed F Van Beeck3 and
- Esther MM Van Lieshout1Email author
© De Boer et al.; licensee BioMed Central Ltd. 2014
Received: 25 November 2013
Accepted: 9 April 2014
Published: 12 April 2014
Foot and ankle injuries account for a large proportion of Emergency Department attendance. The aim of this study was to assess population-based trends in attendances due to foot and ankle injuries in the Netherlands since 1986, and to provide a detailed analysis of health care costs in these patients.
Age- and gender-standardized emergency attendance rates and incidence rates for hospital admission were calculated for each year of the study. Injury cases and hospital length of stay were extracted from the National Injury Surveillance System (non-hospitalized patients) and the National Medical Registration (hospitalized patients). Data were grouped into osseous and ligamentous injuries for foot and ankle separately. An incidence-based cost model was applied to calculate associated direct health care costs.
Since 1986 the overall emergency attendance rate decreased from 858 to 640 per 100,000 person years. In non-admitted patients (90% of cases), ligamentous injuries approximately halved, whereas osseous injuries increased by 28% (foot) and 25% (ankle). The incidence rate for hospital admission increased by 35%, mainly due to an almost doubling of osseous injuries. Attendance rates showed a peak in adolescents and adults until ~45 years of age in males and (less pronounced) in females. The total number of hospital days decreased to 58,708 days in 2010. Hospital length of stay (HLOS) increased with age and was highest for osseous injuries. HLOS was unaffected by gender, apart for longer stay in elderly females with an osseous ankle injury. Health care costs per case were highest for osseous injuries of the ankle (€ 3,461). Costs were higher for females and increased with age to € 6,023 in elderly males and € 10,949 in elderly females. Main cost determinants were in-hospital care (56% of total costs), rehabilitation/nursing care (15%), and physical therapy (12%).
Since 1986, the emergency attendance rate of foot and ankle injuries in the Netherlands decreased by 25%. Throughout the years, the attendance rate of (relatively simple) ligamentous injuries strongly reduced, whereas osseous injuries nearly doubled. Attendance rates and health care costs were gender- and age-related. Main cost determinants were in-hospital care, rehabilitation/nursing care, and physical therapy.
KeywordsAnkle Costs Epidemiology Foot Health care use Injuries
During the last decades, quality of trauma care (both prehospital and hospital care) has improved and complication rates have decreased [1, 2]. Lower extremities are among the most frequently injured body regions in trauma patients [2–5]. The majority of foot and ankle injuries occur during sports or work; they form a leading cause of trauma hospitalizations [3–7]. As foot and ankle injuries account for over 20% of all injury patients visiting an Emergency Department (ED), research on trends in emergency attendance and health care use in this group is needed .
Population-based knowledge on emergency attendance rates, health care use and economic burden of foot and ankle injuries is essential for the allocation of health care services, optimization of preventive measures and research purposes, but it also provides a forecast for the future. Most epidemiologic studies on foot and ankle injuries focused on one distinct subgroup such as a specific type of injury, anatomical region, or age group [8–20]. Most studies used data from a single hospital or a regional database [8, 9, 12, 15, 16, 18, 19, 21–23]. Some papers used a national injury database [10, 11, 17, 20, 24–26]. No papers summarize long-term population trends in emergency attendance rates, health care used and costs of all foot and ankle injuries presented to the emergency department at a national level. Detailed evaluations of costs, gaining insight in the parameters that contribute most to the overall costs, such as cost for hospital stay, physical therapy and rehabilitation are not available. Due to budgetary restraints and increasing health care costs, such economic analyses are gaining importance.
Therefore the aim of the current study was to examine long-term population-based trends in the emergency attendance and associated hospitalization and health care costs of foot and ankle injuries in the Netherlands from 1986 to 2010.
For this retrospective study data were collected for patients with foot and ankle injuries in the Netherlands in the period 1986–2010. Injury cases were extracted from the National Injury Surveillance System (LIS)  and National Medical Registration (LMR) , to include non-hospitalized and hospitalized patients, respectively. LIS is a continuous monitoring system that records unintentional and intentional injuries. It has been implemented in 17 hospital EDs, resulting in a representative 12% sample of all injury-related ED visits in the Netherlands . These hospitals are geographically distributed across the country with their adherence population being representative for the Dutch population in age and gender structure . LMR collects data regarding hospital admissions, admission diagnosis, gender, age, and length of hospital stay. LMR is centrally evaluated for plausibility and completeness before entry into the LIS database . LMR has almost complete national coverage (<5% missing except 12% for 2007) and figures are extrapolated to full national coverage for each year. An extrapolation factor was determined by comparing the adherence population of the participating hospitals with the total Dutch population in each year . Patients are included in LIS and LMR according to their main diagnosis at discharge, which is generally the most severe injury. Coding of patients was consistently based upon full patient chart review including routine radiological assessment as available in the patient files.
Subdivision of the ICD-codes from the LMR database and the injury types from the LIS database in the four main injury groups
Fracture of calcaneus (S920)
Fracture of foot/toe
Fracture of talus (S921)
Dislocation of foot/toe
Fracture of other tarsal bone(s) (S922)
Fracture of metatarsal bone (S923)
Fracture of other toe (S925)
Fracture of foot, unspecified (S929)
Dislocation of toe(s) (S931)
Dislocation of other and unspecified parts of foot (S933)
Sprain and strain of toe(s) (S935)
Sprain and strain foot/toe
Sprain and strain of other and unspecified parts of foot (S936)
Muscle-/tendon injury foot/toe
Fracture of fibula alone (S824)
Fracture of ankle
Fracture of medial malleolus (S825)
Dislocation of ankle
Fracture of lateral malleolus (S826)
Fractures of other parts of lower leg (S828)
Dislocation of ankle joint (S930)
Sprain and strain of ankle (incl. Achilles tendon rupture) (S934)
Muscle-/tendon injury of ankle
Sprain and strain of ankle
Achilles tendon injury
Data regarding hospital length of stay (HLOS) were extracted from the LMR database for 10-year age categories. In order to assess trends in HLOS over time, the mean HLOS was averaged over 5-year intervals from 1991–2010. The time periods for the different analyses (1986–2010 for incidence rates, 1991–2010 for HLOS, and 2010 for health care consumption and associated costs) were based on data availability.
The study was exempted by the local Medical Research Ethics Committee Erasmus MC (No. MEC-2014-006).
Calculation of emergency attendance rates and incidence rates for hospital admission
Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 16.0 for Windows.
Age-specific emergence attendance rates (for all patients presented to the ED) and incidence rates for hospital admission (for all patients admitted to hospital) were calculated in 5-year age groups. This was done for the total population and for males and females separately. For each age group the absolute numbers of hospitalized and non-hospitalized cases with foot and ankle injuries were extracted from the LMR and LIS database, respectively. Since patient numbers in the LIS database were obtained from a sample, they were weighted in order to create national estimates. An extrapolation factor was determined by comparing the number of admitted injury patients in the LIS database with the total number of admitted injury patients in the LMR database. In order to adjust for differences in the demographic composition over time, emergency attendance rates and incidence rates for hospital admission were standardized for age (in 5-year age groups) and gender using a direct standardization method. The age- and gender-specific emergency attendance rates and incidence rates for hospital admission per 100,000 person years were calculated based upon the Dutch mid-year standard population. Mid-year population sizes for all age groups were obtained from Statistics Netherlands . Age-adjusted emergency attendance rates and incidence rates for hospital admission were calculated using “direct standardization” . The average number of persons in each 5-year age class for each year of the study (1986–2010) was calculated. This number was used as the standard (reference) population, as described previously [33, 34]. Overall increase in hospital admissions was calculated for 2010 in per cents relative to 1986.
Calculation of costs
The incidence-based Dutch Burden of Injury Model, which has been used in ten European countries, was used in order to measure and describe the health care costs for the year 2010 [24, 33, 35–38]. Patient numbers, health care consumption, and related costs were calculated for the four injury groups using the LIS database, the National Hospital Discharge Registry, and a patient follow-up survey to calculate associated direct health care costs in 2010. The patient follow-up survey collected data on in-hospital care, outpatient visits, general practitioner (G.P.) visits, outpatient physical therapy, home care, medication, and aids and appliances . Costs and health care consumption are injury-, gender- and age-dependent. In our model, the age- and injury-specific costs were based upon the estimated health care supplied to the individual patients. Costs were determined for the following categories: 1) ambulance care; 2) G.P. visits; 3) in-hospital care; 4) home care; 5) rehabilitation and nursing home care; and 6) physical therapy. Health care costs of injuries were calculated by multiplying incidence, health care volumes (e.g., length of stay in hospital or institution, the number of outpatient visits, G.P. visits, home care hours, and physical therapy treatments) with unit costs (e.g., costs per day in hospital). Unit costs were estimated according to national guidelines for health care costing . Age-specific costs are presented in 10-year age groups for men and women separately.
Emergency attendances and hospital admissions
During the study period, the absolute number of patients reporting to an ED with a foot or ankle injury decreased from 124,595 in 1986 to 106,157 in 2010. The emergency attendance rate of all injuries combined decreased from 858 to 640 per 100,000 persons (-25.4%). Whereas ligamentous injuries approximately halved, osseous injuries nearly doubled.
The admission rate increased from 7.6% in 1986 to 13.8% in 2010 (Figure 1B). This was mainly due to a 31.8% admission rate of patients with osseous ankle injuries. Admission of patients with osseous foot injuries (4.0% admitted) or ligamentous injuries in the ankle (3.8%) or foot (<0.1%) was low. Since 1986, the incidence rate for hospital admission due to foot and ankle injuries increased by 35.4%. This was mostly due to increased incidences of osseous ankle injuries (33/100,000 in 1986 versus 62/100,000 in 2010; +87.9%). The incidence rate for hospital admission due to ligamentous ankle injuries diminished with 42.3% (26 to 15/100,000).
Figure 2C and 2D show age-trends of the four main injury types in 2010. Again, a peak in adolescents was seen, especially in males. Whereas the incidence in all injury types reduced with age in males, the incidence of osseous injuries in elderly women remained more stable.
Hospital length of stay
The HLOS for different types of injuries is shown in Figure 3C and 3D (for males and females, respectively). Osseous injuries caused the longest hospital stay per case in almost every age group, with limited differences between foot and ankle injuries. HLOS in males and females was similar for all injury types; in every age group the difference was restricted to one day at most. Exceptions to this were noted in elderly (70+) with an ankle injury; HLOS for osseous ankle injuries was 11.0 days in females versus 8.2 days in males. HLOS for ligamentous ankle injuries was 5.3 and 3.4 days, respectively.
Costs for health care consumption
The overall costs for all patients amounted 161.9 million euro in 2010. Between 2001 and 2010, costs remained fairly stable; an overall increase of 1.2% was noted (data not shown).
Total and mean cost of all injuries of the foot and ankle for admitted and non-admitted patients (2010)
Overall (males + females)
Cost per case (€)
Cost per case (€)
Cost per case (€)
Osseous injuries foot
Ligamentous injuries foot
Osseous injuries ankle
Ligamentous injuries ankle
Osseous injuries foot
Ligamentous injuries foot
Osseous injuries ankle
Ligamentous injuries ankle
Osseous injuries foot
Ligamentous injuries foot
Osseous injuries ankle
Ligamentous injuries ankle
Costs for in-hospital care consistently contributed most to the total cost per case (64-69% of total costs in males and 45-62% in females; Figure 4). Physical therapy was the second largest determinant (8-19% of total costs). Ambulance care and G.P. visits each contributed less than 10% to the overall cost per case; they doubled or tripled over the age groups, but were unrelated to injury type and gender. For osseous foot and ankle injuries, the increase in costs over the age groups was mainly due to increased use of rehabilitation/nursing care and home care in the elderly. This effect was more pronounced in females than in males. The age-effect on costs in ligamentous foot injuries was mainly attributable to increased costs for physical therapy, G.P. visits, and home care. Higher use of home care also explained the larger cost increase in females. For ligamentous ankle injuries, in-hospital costs increased more with age in males, whereas costs for home care and physical therapy increased more in females.
Since 1986 the emergency attendance rate of ligamentous foot and ankle injuries consistently decreased, yet osseous injuries increased over time. Osseous injuries were the most expensive type of injury. The main cost determinants were in-hospital care and physical therapy.
This study shows the reduction in emergency attendance over time is mainly attributable to a decrease in clinically observed ligamentous ankle injuries. During the study period new guidelines and After Hours Medical Clinics were established [39, 40], so patients with minor injuries can nowadays get G.P. consultations and treatment 24/7. The annual number of patients visiting a G.P. with distal lower extremity problems increased from 300,000 in 2000 to 600,000 in 2005 . LIS and LMR do not record patients visiting only a G.P., so they were not included in our study.
The incidence rate of patients with osseous injuries strongly increased since 1986, especially in admitted patients. This may indicate a shift towards more complex injuries over time or an increase in the number of surgically treated fractures which is especially seen in ankle fractures [20, 41, 42]. Similar trends towards increased operative treatment have also been reported for other injuries [43–45].
Several studies have shown increased incidence rates of foot and ankle injuries in the last decades [2, 8, 41]. This is in line with an increase in fractures found in the current study, although we noted a decrease in emergency attendance overall. The profile and presentation of emergency department injuries have altered and the increase in osseous injuries may be proportional to the increase seen in all lower limb injuries.
Over the years, the HLOS per case decreased. Our data do not allow us to conclude whether that was due to improved health care programs, operative procedures and implants, or changes in admission and discharge guidelines. Introduction of evaluation guidelines like the Ottawa Ankle Rules  may also have resulted in earlier diagnosis and subsequent earlier treatment and lower complication rates. The increase in HLOS in elderly women with osseous injuries suggests a role for osteoporosis, as also noted before . Osteoporotic fractures are often more complicated to treat, resulting in prolonged hospital stay.
One study reported on costs of foot and ankle fractures in the Netherlands in 1999, using the same cost model . After correction for inflation, the corresponding costs in 2010 would be € 25.7 million (€ 861/case) for foot/toe fractures and € 54.5 million (€ 2,870/case) for ankle fractures. The higher costs observed in the current study may be attributable, at least partly, to more fractures treated operatively and higher costs for novel implants. Also, improvement in data sources on home and nursing care and on operative interventions may have resulted in more accurate, most likely higher, estimates of costs in the current study.
As expected, in-hospital care (especially admission days), rehabilitation/nursing care, and physical therapy were the main cost drivers. Similar results have been reported for ankle fractures . In-hospital cost for osseous ankle fractures cost €4,000/case in our study, which was in line with data from Murray et al. reported £4730 (i.e., €4230) . The fact that the age effect was larger in females than in males may reflect that females tend to outlive their partners; elderly are more prone to losing their independence after sustaining a foot or ankle injury. Higher costs for osseous injuries were mainly attributable to longer HLOS.
This study is unique as it is a population-based study showing national and long-term trends in emergency attendance and hospitalization of patients with all foot and ankle injuries. Detailed data on health care costs is also novel. Most studies on lower leg injuries were restricted to one distinct injury or age group [8–19], focused on few hospitals, or were limited to (non-)hospitalized patients. Some studies used national injury databases [10, 11, 17, 20, 24–26]. National registry data more reliably represent the true health care problem than extrapolating data from one trial or hospital . Although LIS-data covers 12% of the Dutch population, international validation studies have shown that the mathematical model underlying the extrapolation has a high level of completeness and validity . Agreement of LIS recordings with hospital discharge systems and actual incidence of hospital admissions is high [27, 48]. Both rural and urban areas and all levels of trauma care are included, supporting validity and generalizability of our findings.
We also acknowledge limitations, the most obvious being that patients who only visited a G.P./sports physician were not included. Although this indicates an underestimation of the problem at large, it can be expected that the excluded patients had minor injuries not requiring substantial treatment. Furthermore, there may be some statistical uncertainty due to underreporting of combined injuries, as patients are recorded based upon their main injury at discharge. A related limitation is that despite the introduction of evaluation guidelines like the Ottawa Ankle Rules , 8-18% of all foot fractures and 3-22% of ankle fractures are still missed at initial evaluation . This likely caused a bias towards a lower emergency attendance rate, but this applies to all studies. A final limitation is that indirect health care costs like absenteeism and work disability were not taken into account in the cost model. Since the majority of patients with foot or ankle injuries are 20–60 years, the total societal burden will be higher than our data indicate. For calcaneal fractures, the work absenteeism costs exceeded the direct medical costs .
The overall emergency attendance rate of foot or ankle injuries in the Netherlands seems to have decreased by 25% since 1986. The highest attendance was noted in patients aged 20–50 years. Whereas an approximately 50% reduction in ligamentous injuries was noted, the osseous injuries increased over time (25-28% in non-admitted patients, 87-100% in admitted patients), which might indicate a shift towards more substantial injuries. Attendance rates and health care costs were gender- and age-related. The main cost determinants were in-hospital care, rehabilitation/nursing care, and physical therapy.
Hospital length of stay
International classification of diseases, 10th revision
National injury surveillance system
National medical registration.
No funding was received for this study, and the authors did not have any writing assistance.
- Probst C, Richter M, Lefering R, Frink M, Gaulke R, Krettek C, Hildebrand F: Incidence and significance of injuries to the foot and ankle in polytrauma patients–an analysis of the Trauma Registry of DGU. Injury. 2010, 41 (2): 210-215.View ArticlePubMedGoogle Scholar
- Regel G, Lobenhoffer P, Grotz M, Pape HC, Lehmann U, Tscherne H: Treatment results of patients with multiple trauma: an analysis of 3406 cases treated between 1972 and 1991 at a German Level I Trauma Center. J Trauma. 1995, 38 (1): 70-78.View ArticlePubMedGoogle Scholar
- Holbrook TL, Hoyt DB, Anderson JP: The importance of gender on outcome after major trauma: functional and psychologic outcomes in women versus men. J Trauma. 2001, 50 (2): 270-273.View ArticlePubMedGoogle Scholar
- Holbrook TL, Anderson JP, Sieber WJ, Browner D, Hoyt DB: Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. J Trauma. 1999, 46 (5): 765-771. discussion 771–763View ArticlePubMedGoogle Scholar
- Holbrook TL, Hoyt DB, Anderson JP: The impact of major in-hospital complications on functional outcome and quality of life after trauma. J Trauma. 2001, 50 (1): 91-95.View ArticlePubMedGoogle Scholar
- Zelle BA, Brown SR, Panzica M, Lohse R, Sittaro NA, Krettek C, Pape HC: The impact of injuries below the knee joint on the long-term functional outcome following polytrauma. Injury. 2005, 36 (1): 169-177.View ArticlePubMedGoogle Scholar
- Rhodes M, Aronson J, Moerkirk G, Petrash E: Quality of life after the trauma center. J Trauma. 1988, 28 (7): 931-938.View ArticlePubMedGoogle Scholar
- Court-Brown CM, Caesar B: Epidemiology of adult fractures: a review. Injury. 2006, 37 (8): 691-697.View ArticlePubMedGoogle Scholar
- Wood AM, Robertson GA, Rennie L, Caesar BC, Court-Brown CM: The epidemiology of sports-related fractures in adolescents. Injury. 2010, 41 (8): 834-838.View ArticlePubMedGoogle Scholar
- Waterman BR, Owens BD, Davey S, Zacchilli MA, Belmont PJ: The epidemiology of ankle sprains in the United States. J Bone Joint Surg Am. 2010, 92 (13): 2279-2284.View ArticlePubMedGoogle Scholar
- Parenteau CS, Viano DC, Lovsund P, Tingvall C: Foot-ankle injuries: influence of crash location, seating position and age. Accid Anal Prev. 1996, 28 (5): 607-617.View ArticlePubMedGoogle Scholar
- Fong DT, Man CY, Yung PS, Cheung SY, Chan KM: Sport-related ankle injuries attending an accident and emergency department. Injury. 2008, 39 (10): 1222-1227.View ArticlePubMedGoogle Scholar
- Fong DT, Hong Y, Chan LK, Yung PS, Chan KM: A systematic review on ankle injury and ankle sprain in sports. Sports Med. 2007, 37 (1): 73-94.View ArticlePubMedGoogle Scholar
- Cummings SR, Melton LJ: Epidemiology and outcomes of osteoporotic fractures. Lancet. 2002, 359 (9319): 1761-1767.View ArticlePubMedGoogle Scholar
- Court-Brown CM, McBirnie J: The epidemiology of tibial fractures. J Bone Joint Surg (Br). 1995, 77 (3): 417-421.Google Scholar
- Bridgman SA, Clement D, Downing A, Walley G, Phair I, Maffulli N: Population based epidemiology of ankle sprains attending accident and emergency units in the West Midlands of England, and a survey of UK practice for severe ankle sprains. Emerg Med J. 2003, 20 (6): 508-510.View ArticlePubMedPubMed CentralGoogle Scholar
- Thur CK, Edgren G, Jansson KA, Wretenberg P: Epidemiology of adult ankle fractures in Sweden between 1987 and 2004. Acta Orthop. 2012, 83 (3): 276-281.View ArticlePubMedPubMed CentralGoogle Scholar
- Hasselman CT, Vogt MT, Stone KL, Cauley JA, Conti SF: Foot and ankle fractures in elderly white women. Incidence and risk factors. J Bone Joint Surg Am. 2003, 85-A (5): 820-824.PubMedGoogle Scholar
- Court-Brown CM, Clement N: Four score years and ten: an analysis of the epidemiology of fractures in the very elderly. Injury. 2009, 40 (10): 1111-1114.View ArticlePubMedGoogle Scholar
- Kannus P, Palvanen M, Niemi S, Parkkari J, Jarvinen M: Increasing number and incidence of low-trauma ankle fractures in elderly people: Finnish statistics during 1970–2000 and projections for the future. Bone. 2002, 31 (3): 430-433.View ArticlePubMedGoogle Scholar
- Tadros AM, Eid HO, Abu-Zidan FM: Epidemiology of foot injury in a high-income developing country. Injury. 2010, 41 (2): 137-140.View ArticlePubMedGoogle Scholar
- Rennie L, Court-Brown CM, Mok JY, Beattie TF: The epidemiology of fractures in children. Injury. 2007, 38 (8): 913-922.View ArticlePubMedGoogle Scholar
- Fernandez WG, Yard EE, Comstock RD: Epidemiology of lower extremity injuries among U.S. high school athletes. Acad Emerg Med. 2007, 14 (7): 641-645.View ArticlePubMedGoogle Scholar
- Meerding WJ, Mulder S, van Beeck EF: Incidence and costs of injuries in The Netherlands. Eur J Public Health. 2006, 16 (3): 272-278.View ArticlePubMedGoogle Scholar
- van Staa TP, Dennison EM, Leufkens HG, Cooper C: Epidemiology of fractures in England and Wales. Bone. 2001, 29 (6): 517-522.View ArticlePubMedGoogle Scholar
- Lambers K, Ootes D, Ring D: Incidence of patients with lower extremity injuries presenting to US emergency departments by anatomic region, disease category, and age. Clin Orthop Relat Res. 2011, 470 (1): 284-290.View ArticlePubMedPubMed CentralGoogle Scholar
- Meerding WJ, Polinder S, Lyons RA, Petridou ET, Toet H, van Beeck F, Mulder S: How adequate are emergency department home and leisure injury surveillance systems for cross-country comparisons in Europe?. Int J Inj Contr Saf Promot. 2010, 17 (1): 13-22.View ArticlePubMedGoogle Scholar
- Van der Stegen R, Ploemacher J: Discription of Methods for Statistics by Diagnoses in Time by using the LMR (1981–2005). 2009, The Hague: Statistics Netherlands (CBS)Google Scholar
- Polinder S, van Beeck EF, Essink-Bot ML, Toet H, Looman CW, Mulder S, Meerding WJ: Functional outcome at 2.5, 5, 9, and 24 months after injury in the Netherlands. J Trauma. 2007, 62 (1): 133-141.View ArticlePubMedGoogle Scholar
- WHO - International Classification of Diseases (ICD).http://www.who.int/classifications/icd,
- Statistics Netherlands: Dutch Demomgrapics and Population Prognosis. 2012, The Hague, the Netherlands: Statistics Netherlands (CBS)Google Scholar
- Curtin LR, Klein RJ: Direct standardization (age-adjusted death rates). Healthy People 2000 Stat Notes. 1995, 6: 1-10.PubMedGoogle Scholar
- Hartholt KA, Van Lieshout EM, Polinder S, Panneman MJ, Van der Cammen TJ, Patka P: Rapid increase in hospitalizations resulting from fall-related traumatic head injury in older adults in The Netherlands 1986–2008. J Neurotrauma. 2011, 28 (5): 739-744.View ArticlePubMedGoogle Scholar
- Polinder S, Iordens GI, Panneman MJ, Eygendaal D, Patka P, Den Hartog D, Van Lieshout EM: Trends in incidence and costs of injuries to the shoulder, arm and wrist in The Netherlands between 1986 and 2008. BMC Public Health. 2013, 13 (1): 531-View ArticlePubMedPubMed CentralGoogle Scholar
- Polinder S, Meerding WJ, van Baar ME, Toet H, Mulder S, van Beeck EF: Cost estimation of injury-related hospital admissions in 10 European countries. J Trauma. 2005, 59 (6): 1283-1290. discussion 1290–1281View ArticlePubMedGoogle Scholar
- Mulder S, Meerding WJ, Van Beeck EF: Setting priorities in injury prevention: the application of an incidence based cost model. Inj Prev. 2002, 8 (1): 74-78.View ArticlePubMedPubMed CentralGoogle Scholar
- de Putter CE, Selles RW, Polinder S, Panneman MJ, Hovius SE, van Beeck EF: Economic impact of hand and wrist injuries: health-care costs and productivity costs in a population-based study. J Bone Joint Surg Am. 2012, 94 (9): e56-View ArticlePubMedGoogle Scholar
- Consumer and Safety Institute: The Dutch Burden of Injury Model. 2010, Amsterdam, The NetherlandsGoogle Scholar
- CBO: Dutch guideline “Acute lateral ankle ligament injuries [Acuut lateraal enkelbandletsel]. http://www.cbo.nl/Downloads/1157/conc_rl_enkelletsel.pdf (last accessed on July 9, 2013
- Stiell IG, Greenberg GH, McKnight RD, Nair RC, McDowell I, Worthington JR: A study to develop clinical decision rules for the use of radiography in acute ankle injuries. Ann Emerg Med. 1992, 21 (4): 384-390.View ArticlePubMedGoogle Scholar
- Richter M, Thermann H, Wippermann B, Otte D, Schratt HE, Tscherne H: Foot fractures in restrained front seat car occupants: a long-term study over twenty-three years. J Orthop Trauma. 2001, 15 (4): 287-293.View ArticlePubMedGoogle Scholar
- Richter M, Thermann H, von Rheinbaben H, Schratt E, Otte D, Zwipp H, Tscherne H: Fractures of the foot region of car drivers and passengers. Occurrence, causes and long-term results. Unfallchirurg. 1999, 102 (6): 429-433.View ArticlePubMedGoogle Scholar
- Bell JE, Leung BC, Spratt KF, Koval KJ, Weinstein JD, Goodman DC, Tosteson AN: Trends and variation in incidence, surgical treatment, and repeat surgery of proximal humeral fractures in the elderly. J Bone Joint Surg Am. 2011, 93 (2): 121-131.View ArticlePubMedPubMed CentralGoogle Scholar
- Huttunen TT, Kannus P, Lepola V, Pihlajamaki H, Mattila VM: Surgical treatment of humeral-shaft fractures: a register-based study in Finland between 1987 and 2009. Injury. 2012, 43 (10): 1704-1708.View ArticlePubMedGoogle Scholar
- Mattila VM, Huttunen TT, Sillanpaa P, Niemi S, Pihlajamaki H, Kannus P: Significant change in the surgical treatment of distal radius fractures: a nationwide study between 1998 and 2008 in Finland. J Trauma. 2011, 71 (4): 939-942. discussion 942–933View ArticlePubMedGoogle Scholar
- Lin CW, Haas M, Moseley AM, Herbert RD, Refshauge KM: Cost and utilisation of healthcare resources during rehabilitation after ankle fracture are not linked to health insurance, income, gender, or pain: an observational study. Aust J Physiother. 2008, 54 (3): 201-208.View ArticlePubMedGoogle Scholar
- Murray AM, McDonald SE, Archbold P, Crealey GE: Cost description of inpatient treatment for ankle fracture. Injury. 2011, 42 (11): 1226-1229.View ArticlePubMedGoogle Scholar
- Lyons RA, Polinder S, Larsen CF, Mulder S, Meerding WJ, Toet H, Van Beeck E: Methodological issues in comparing injury incidence across countries. Int J Inj Contr Saf Promot. 2006, 13 (2): 63-70.View ArticlePubMedGoogle Scholar
- Schepers T, van Schie-van der Weert EM, de Vries MR, van der Elst M: Foot and ankle fractures at the supination line. Foot (Edinb). 2011, 21 (3): 124-128.View ArticleGoogle Scholar
- Brauer CA, Manns BJ, Ko M, Donaldson C, Buckley R: An economic evaluation of operative compared with nonoperative management of displaced intra-articular calcaneal fractures. J Bone Joint Surg Am. 2005, 87 (12): 2741-2749.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/15/128/prepub
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