- Research article
- Open Access
Retrospective one-million-subject fixed-cohort survey of utilization of emergency departments due to traumatic causes in Taiwan, 2001–2010
- Nan-Ping Yang†1, 2, 3,
- Dinh-Van Phan†4, 5,
- Yi-Hui Lee6,
- Jin-Chyr Hsu7,
- Ren-Hao Pan4, 5,
- Chien-Lung Chan4, 5,
- Nien-Tzu Chang†6, 8 and
- Dachen Chu2, 3, 9, 10Email author
© The Author(s). 2016
- Received: 29 June 2016
- Accepted: 6 August 2016
- Published: 30 August 2016
Epidemiological study was needed to evaluate trends in emergency department (ED) utilization that could be taken into account when making policy decisions regarding the delivery and distribution of medical resources.
A retrospective fixed-cohort study of emergency medical utilization from 2001 to 2010 was performed based on one-million people sampled in 2010 in Taiwan. Focusing on traumatic cases, the annual incidences in various groups split according to sex and age were calculated, and further information regarding location of trauma and type of trauma was obtained.
In 2010, significantly greater proportions of male and younger subjects were visitors to EDs with a traumatic injury. During 2001–2010, the number of both traumatic cases and non-traumatic cases presenting at EDs significantly increased (average annual percentage change, AAPC 4.7 and 3.6, respectively) and a significantly greater direct medical cost associated with traumatic cases than non-traumatic cases was noted. Focusing on traumatic cases, most of these cases were directed to highest-level hospitals, accounting for 73.5–78.8 % of all traumatic cases, with a significant AAPC of 5.6. The traumatic ED visit annual incidence in males was 58.63 in 2001, which significantly increased to 69.35 per 1000 persons in 2010 (AAPC 1.5); and in females was 38.96 in 2001, which significantly increased to 50.73 per 1000 persons in 2010 (AAPC 2.5). Most of the traumatic cases treated in EDs were minor injuries, such as contusion with the skin intact, open wound of the upper limbs, open wound of the head, neck, or trunk, and other superficial injury (accounting for about 60 % of all cases). The traumatic categories of sprains/strains of joints and adjacent muscles, fractures of upper limbs, fractures of lower limbs, and fractures of the spine/trunk required greater medical resources and significantly positive AAPC values (4.3, 4.0, 4.5 and 6.8, respectively).
Increased ED utilization due to traumatic causes, as assessed by the annual number of cases and incidence, average direct medical cost and highest-level hospital utilization, was observed from 2001 to 2010. Orthopedic-related injuries, including soft tissue trauma of extremities and various fractures, were the categories with the greatest increase in incidence.
- Emergency department
Globally, injury is a major cause of death and disability. The burden of injury is greatest in developing countries, and trauma registries are known to be integral in the monitoring and improvement of trauma care . There remains great international variability in terms of patient mix, process of care, and performance of different pre-hospital trauma care systems . To date, the classification, measurement and improvement of data quality in trauma registries have been inconsistent . There is no doubt that injury is a large issue for the health care system, and in particular for emergency management units.
Usually, patients suffering a traumatic injury and other acute diseases constitute the majority of ambulance transports, and adult patients aged 15–60 years are the principal users of Emergency Medical Services (EMSs) . Furthermore, triage, inter-hospital transfer processes and protocols for inter-hospital transfer are also central to trauma systems [5, 6]. From the viewpoints of public health and health policy, epidemiological study is needed in order to evaluate trends in health care utilization, which could inform policy decision-making for the redistribution of medical resources, especially in developing countries.
Data source, security, and quality control
Taiwan launched a single-payer National Health Insurance (NHI) program on March 1, 1995. As of 2014, 99.9 % of Taiwan’s population was enrolled . Foreigners in Taiwan are also eligible for this program. The database of this program contains registration files and original claim data for reimbursement. Large computerized databases derived from this system by the National Health Insurance Administration (the former Bureau of National Health Insurance, BNHI), Ministry of Health and Welfare (the former Department of Health, DOH), Taiwan and maintained by the National Health Research Institutes (NHRI), Taiwan, are provided to scientists in Taiwan for research purposes. Only citizens of the Republic of China who fulfill the requirements of conducting research projects are eligible to apply for the National Health Insurance Research Database (NHIRD). The NHIRD includes nationwide population-based data with good quality control and representation and is provided to scientists in Taiwan for research purposes [8–12].
Ethics approval, and consent for participation or publication
The study design was a retrospective health data analytic study. The protocol was evaluated and approved by the Institutional Review Board (IRB) of Taipei Hospital, Ministry of Health & Welfare, Taiwan, which has been certificated by the Ministry of Health and Welfare, Taiwan (IRB Approval Number: TH-IRB-0015-0003).
The information related to all subjects is encrypted using a double scrambling protocol for research purposes to protect the privacy of patients. Theoretically, it is impossible to query the data alone to identify individuals at any level using this database. No any individual informed consent of all the insured is requested. All researchers who wish to use the NHIRD are required to sign a written agreement declaring that they have no intention of attempting to obtain information that could potentially violate the privacy of patients or care providers. The use of NHIRD is limited to research purposes only. Applicants must follow the Computer-Processed Personal Data Protection Law and related regulations of National Health Insurance Administration and NHRI, and an agreement must be signed by the applicant and his/her supervisor upon application submission.
The application of the present study was reviewed by the NHI Administration, who gave their agreement to the planned analysis of the NHIRD and released the data. (Data approval Number: NHIRD-104-183).
Source and definition of study population
The entire medical claim data of the patients enrolled in LHID2010 was collected in the year 2010 and during the period of 2001–2009 retrospectively. All incident ED visits of the 1,000,000 studied subjects in each calendar year were evaluated. The causes of ED visits were divided into 2 groups: traumatic (ICD-9-CM diagnostic codes ranging from 800.X to 959.X) and non-traumatic. Traumatic cases were defined as subjects who visited an ED due to a trauma event once or more in 1 year, while the non-traumatic cases were defined as subjects who visited an ED for reasons entirely due to a non-traumatic event. Furthermore, each ED visit of the subjects was analyzed to assess the number of annual ED visits and the direct medical cost per ED case. Focusing on traumatic ED cases, the distribution of hospital level, annual incidence by gender, annual incidence by age strata, and detailed information regarding traumatic location/type (classified into 20 categories)  were studied.
Descriptive statistics are represented by numbers of cases, percentages, and means with standard deviation (SD). The chi-square test or independent t-test was used to analyze significant differences between groups for categorical or continuous variables, respectively. The average annual percentage change (AAPC) and its 95 % confidence interval (CI) was calculated using the Join-point Regression Program Ver.184.108.40.206 in order to test for time trends. 95 % CI of cumulative incidence (ci) cab be calculated as the followed formula: ci +/− 1.96√ci(1-ci)/N. All analyses of data were conducted using the Hadoop big data distributed computing environment and the Impala massive parallel processing (MPP) SQL query engine (Cloudera Corporation), and statistical calculations were performed using the Statistical Package for Social Sciences for Windows (SPSS Ver.22.0).
Retrospective one-million-subject fixed-cohort survey of utilization of emergency departments (EDs) due to traumatic or non-traumatic causes in Taiwan, 2010
ED-utilized subjects in 2010
One million study subjects based on LHID2010a
p value of χ 2 test
Total subjects who visited the ED
Trends and comparisons of medical utilization in traumatic and non-traumatic ED cases in Taiwan, 2001–2010
95 % CIb of AAPC
Annual ED visits, case numbers
Direct medical cost (US$), per visit
Traumatic cases, mean (SD)
Non-traumatic cases, mean (SD)
p value for t test
Level of hospital visited by traumatic cases, per year
Medical center, No. (%)
Regional hospital, No. (%)
Local hospital or other, No. (%)
Characteristics of traumatic ED visitors in terms of annual incidence* of the fixed one-million subjects in Taiwan, 2001–2010 retrospectively
95 % CI of AAPC
95 % CI of Inc. in 2010
Distributions of traumatic categories in traumatic ED cases in Taiwan, 2001–2010
95 % CI of AAPC
1. Fracture of skull, intracranial injury
800–804 & 850–854
2. Fracture of spine and trunk
3. Fracture of upper limb
4. Fracture of lower limb
6. Sprains and strains of joints and adjacent muscles
7. Internal injury of chest
8. Internal injury of abdomen and pelvis
9. Open wound of head, neck and trunk
10. Open wound of upper limb
11. Open wound of lower limb
12. Injury to blood vessels
13. Late effects of injuries and other external causes
14. Superficial injury
15. Contusion with intact skin surface
16. Crush injuries
17. Effects of foreign body entering through orifice
19. Injury to nerves and spinal cord
20. Certain traumatic complications and unspecified injuries
In the US, publicly-available ED visit data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1997 through 2007 were assessed using codes from the International Classification of Diseases, Ninth Revision (ICD-9). ED visit rates increased from 352.8 to 390.5 per 1000 persons during that time (P = .001 for trend), and adults with Medicaid cover accounted for most of the increase in ED visits; in addition, the visit rate increased from 693.9 to 947.2 visits per 1000 enrollees (p = 0.001 for trend) between 1999 and 2007 . According to NHAMCS data from 1997 to 2009, the overall adjusted probability of an ED visit being treatable in a primary care setting increased by 0.19 % (95 % CI = 0.10 to 0.28) per year. This probability increased at a rate of 0.52 % per year for Medicare patient visits (95 % CI = 0.38 % to 0.65 %), more than double that for Medicaid patient visits (0.25 % per year, 95 % CI = 0.13 % to 0.37 %). In contrast, there was no significant change from 1997 to 2009 in the average probability of an ED visit being treatable in a primary care setting in privately-insured patients (0.05 % per year, 95 % CI = −0.07 to 0.16) or uninsured individuals (0.00 % per year, 95 % CI = −0.12 to 0.13) . In Taiwan, the ED visit rate, including traumatic and non-traumatic cases, was approximately 190 visits per 1000 persons in 2001, which increased significantly to 270 visits per 1000 persons in 2010 based on one-million sampled patients who were insured under the official Taiwan health insurance system. Therefore, a greater increase in the ED visit rate as measured by the AAPC, and in particular in the ED visit rate for cases due to traumatic causes, was observed in Taiwan, an Asian developing country.
In the US, older adults (aged 75 and over), non-Hispanic black persons, less wealthy people, and those with Medicaid coverage were more likely to have made at least one ED visit within a 12-month period than other subjects. Persons with Medicaid coverage were more likely to have made multiple visits to an ED within a 12-month period than those with private insurance and the uninsured . Based on data from the USA National Health Interview Survey in 2012, 18 % of children aged 0–17 years visited the ED, and children with Medicaid coverage were more likely than uninsured children and those with private coverage to have visited the ED at least once in the past year . A recent systematic review concluded that in most healthcare systems, frequent ED users were more likely to be older, female, and have a mental health diagnosis, and previous hospitalizations and high primary care use were associated with future frequent ED use . The main finding of the present study was that female subjects and the elderly (aged 65 years or more) exhibited a greater increase in the incidence of ED visits for traumatic reasons in Taiwan.
Overcrowding of EDs is an important issue, and in order to design strategies aimed at avoiding overcrowding, mathematical models used to predict ED patient volume are considered essential. Most of the models used to predict patient volume are linear regression models, including Poisson regression models or time series models that can include calendar- or climate-related variables. These models explain 31–75 % of the patient-volume variability [19–22]. A significantly increased rate of ED utilization was found in the present study, especially with regards to traumatic cases, of which cases of soft tissue trauma of extremities and various fractures were the categories that exhibited the greatest increasing tendencies. This information is useful to inform Taiwan’s health authorities with regards to the delivery and distribution of medical resources.
In Singapore, a statistical report showed that 40.7 % of ambulance arrivals were attributable to trauma, versus 27.3 % of walk-in arrivals. The majority of trauma cases brought in by ambulance was because of road traffic accidents, followed by accidents in the home . In India, traffic crashes and consequent injuries represent a growing public health concern. Open wounds and superficial injuries to the head (69.3 %), upper extremities (27 %) and lower extremities (24 %) were found to be the most common injuries . Based on data from the state-wide trauma registry in Queensland, Australia, from 2006 to 2010, moped/scooter riders sustained a greater percentage of head/neck (+8.6 %), facial (+3.0 %) and abdominal injuries (+2.3 %), whereas motorcycle riders sustained a greater percentage of upper extremity (+4.0 %), thoracic (+3.9 %), spinal (+3.6 %) and lower extremity injuries (+2.6 %) . In Taiwan, the incidence of traffic accident-related hospitalization was between 9.17 and 11.54 %, and in all inpatients admitted due to road traffic accidents, the orthopedic fractures of (1) fracture of upper limb, (2) fracture of lower limb, and (3) fracture of spine/trunk were the most common injuries, accounting for 29.36 % of all injuries . Road traffic accidents involving motorized two-wheeled vehicle (MTV) riders often result in severe morbidity and mortality. Many studies have focused on this specific issue [27, 28]. In the present study, which focused on traumatic injuries, most traumatic cases presenting at EDs had sustained superficial or open-wound injuries; however, the traumatic categories of sprains/strains of joints and adjacent muscles, fractures of upper limbs, fractures of lower limbs, and fractures of the spine/trunk exhibited significant annual increases in incidence. Most traumatic ED cases in the present study were sent to highest-level hospitals, which is contrary to another study performed in Taiwan showing the use of the ED service in the nearest community hospital to be more acceptable in an emergency situation than medical center treatment for dying cancer patients . More detailed evaluation is needed in future studies to examine the causes of accidents and the subsequent morbidity or mortality.
Some limitations were still persisted in the present study. In Taiwan, no researchers can approach all the NHI beneficiaries’ inpatient and ambulatory medical records. A longitudinal health dataset of one million fixed cohort populations, including their inpatient and ambulatory medical records, was the most popular research databank. However, more detailed personal information such as occupation, education level, living area, or healthy habitus were absent. Up to now, there were three isolated longitudinal datasets containing LHID2000, LHID2005 and LHID2010 that can provide only point estimates for epidemiological studies due to lack of available data of whole Taiwan’s population in each calendar year. In another way, during the study period of 2001–2010, 10 separated cross-sectional surveys in each calendar year might be performed based on the truly dynamic total population but only 0.2 % of the ambulatory care records extracted by systematic sampling method have been allowed to be released to Taiwanese researchers . Finally, the latest longitudinal health dataset (LHID2010) in Taiwan was chosen to perform a descriptive epidemiological analysis that was designed as a retrospective fixed-cohort study.
Focusing on traumatic visits of patients to EDs, increased ED utilization was observed between 2001 and 2010 in Taiwan, as evidenced by the increases in the annual number of cases, annual incidence assessed by gender and age, average direct medical cost, and highest-level hospital utilization. Of the 20 categories into which all traumatic causes were divided, orthopedic-related injuries, including soft tissue trauma of extremities and various fractures, were the categories in which the greatest increases in incidence were observed. Greater numbers of surgical and orthopedic physicians may be needed in EDs, especially in the highest-level hospitals in Taiwan,
This study was partially supported by MOST-102-2221-E-155-027-MY3 & MOST-104-2218-E-155-004. The authors would still like to thank Keelung Hospital and the Ministry of Health& Welfare for supporting the study.
Availability of data and supporting materials
All relevant raw data and databases of NHIRD in the present study could not be shared because all researchers are required to sign a written agreement declaring that the NHIRD and its data subsets are prohibited to be released.
The study was designed by NPY, CLC and DC; data were gathered and analyzed by NPY, DVP, NTC and RHP; the initial draft of the manuscript was written by NPY, DVP and NTC; the accuracy of the data and analyses was assured by YHL, JCH and DC. All authors participated in the preparation of the manuscript and approved the final version. All authors have read and approved the final manuscript. NPY, DVP and NTC contributed equally to this work.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The Institutional Review Board (IRB) of Taipei Hospital, Ministry of Health & Welfare, Taiwan approved the present study (Approval Number: TH-IRB-0015-0003) and informed consent was waived.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- O’Reilly GM, Joshipura M, Cameron PA, Gruen R. Trauma registries in developing countries: a review of the published experience. Injury. 2013;44:713–21.View ArticlePubMedGoogle Scholar
- Roudsari BS, Nathens AB, Arreola-Risa C, Cameron P, Civil I, Grigoriou G, et al. Emergency Medical Service (EMS) systems in developed and developing countries. Injury. 2007;38:1001–13.View ArticlePubMedGoogle Scholar
- O’Reilly GM, Gabbe B, Moore L, Cameron PA. Classifying, measuring and improving the quality of data in trauma registries: a review of the literature. Injury. 2016;47:559–67.View ArticlePubMedGoogle Scholar
- Man Lo S, Min Yu Y, Larry Lee LY, Eliza Wong ML, Ying Chair S, J Kalinowski E, et al. Overview of the shenzhen emergency medical service call pattern. World J Emerg Med. 2012;3:251–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Kristiansen T, Lossius HM, Søreide K, Steen PA, Gaarder C, Næss PA. Patients Referred to a Norwegian Trauma Centre: effect of transfer distance on injury patterns, use of resources and outcomes. J Trauma Manag Outcomes. 2011;5:9.View ArticlePubMedPubMed CentralGoogle Scholar
- Kristiansen T, Ringdal KG, Skotheimsvik T, Salthammer HK, Gaarder C, Naess PA, et al. Implementation of recommended trauma system criteria in south-eastern Norway: a cross-sectional hospital survey. Scand J Trauma Resusc Emerg Med. 2012;20:5.View ArticlePubMedPubMed CentralGoogle Scholar
- National Health Insurance Administration, Ministry of Health and Welfare, Taiwan, R.O.C. Background of National Health Insurance Research Database. [http://nhird.nhri.org.tw/en/index.html]. Accessed 1 Aug 2016.
- Yang NP, Deng CY, Chou YJ, Chen PQ, Lin CH, Chou P, et al. Estimated prevalence of osteoporosis from a Nationwide Health Insurance database in Taiwan. Health Policy. 2006;75:329–37.View ArticlePubMedGoogle Scholar
- Yang NP, Chan CL, Yu IL, Lee CY, Chou P. Estimated prevalence of orthopaedic fractures in Taiwan—a cross-sectional study based on nationwide insurance data. Injury. 2010;41:1266–72.View ArticlePubMedGoogle Scholar
- Chan CL, Lin W, Yang NP, Huang HT. The association between the availability of ambulatory care and non-emergency treatment in emergency medicine departments: a comprehensive and nationwide validation. Health Policy. 2013;110:271–9.View ArticlePubMedGoogle Scholar
- Yang NP, Chan CL, Chu D, Lin JS, Lin KB, Yu CS, et al. Epidemiology of hospitalized traumatic pelvic fractures and their combined injuries in Taiwan: 2000–2011 nationwide surveillance. BioMed Res Int. 2014. Article ID 878601. doi: 10.1155/2014/878601.
- Lin KB, Lai KR, Yang NP, Chan CL, Liu YH, Pan RH, et al. Epidemiology and socioeconomic features of appendicitis in Taiwan: a 12-year population-based study. World J Emerg Surg. 2015;10:42.View ArticlePubMedPubMed CentralGoogle Scholar
- National Health Insurance Administration, Ministry of Health and Welfare, Taiwan, R.O.C. Data subset of National Health Insurance Research Database. [http://nhird.nhri.org.tw/en/Data_Subsets.html]. Accessed 1 Aug 2016.
- Tang N, Stein J, Hsia RY, Maselli JH, Gonzales R. Trends and characteristics of US emergency department visits, 1997–2007. JAMA. 2010;304:664–70.View ArticlePubMedPubMed CentralGoogle Scholar
- Pukurdpol P, Wiler JL, Hsia RY, Ginde AA. Association of Medicare and Medicaid insurance with increasing primary care-treatable emergency department visits in the United States. Acad Emerg Med. 2014;21:1135–42.View ArticlePubMedGoogle Scholar
- Garcia TC, Bernstein AB, Bush MA. Emergency department visitors and visits: who used the emergency room in 2007? NCHS Data Brief. 2010;38:1–8.PubMedGoogle Scholar
- Gindi RM, Jones LI. Reasons for emergency room use among U.S. children: National Health Interview Survey, 2012. NCHS Data Brief. 2014;160:1–8.PubMedGoogle Scholar
- Soril LJ, Leggett LE, Lorenzetti DL, Noseworthy TW, Clement FM. Characteristics of frequent users of the emergency department in the general adult population: a systematic review of international healthcare systems. Health Policy. 2016;120:452–61.View ArticlePubMedGoogle Scholar
- Wargon M, Guidet B, Hoang TD, Hejblum G. A systematic review of models for forecasting the number of emergency department visits. Emerg Med J. 2009;26:395–9.View ArticlePubMedGoogle Scholar
- Au-Yeung SW, Harder U, McCoy EJ, Knottenbelt WJ. Predicting patient arrivals to an accident and emergency department. Emerg Med J. 2009;26:241–4.View ArticlePubMedGoogle Scholar
- Schweigler LM, Desmond JS, McCarthy ML, Bukowski KJ, Ionides EL, Younger JG. Forecasting models of emergency department crowding. Acad Emerg Med. 2009;16:301–8.View ArticlePubMedGoogle Scholar
- McCarthy ML, Zeger SL, Ding R, Aronsky D, Hoot NR, Kelen GD. The challenge of predicting demand for emergency department services. Acad Emerg Med. 2008;15:337–46.View ArticlePubMedGoogle Scholar
- Seow E, Wong HP, Phe A. The pattern of ambulance arrivals in the emergency department of an acute care hospital in Singapore. Emerg Med J. 2001;18:297–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Fitzharris M, Dandona R, Kumar GA, Dandona L. Crash characteristics and patterns of injury among hospitalized motorised two-wheeled vehicle users in urban India. BMC Public Health. 2009;9:11.View ArticlePubMedPubMed CentralGoogle Scholar
- White D, Lang J, Russell G, Tetsworth K, Harvey K, Bellamy N. A comparison of injuries to moped/scooter and motorcycle riders in Queensland, Australia. Injury. 2013;44:855–62.View ArticlePubMedGoogle Scholar
- Pan RH, Chang NT, Chu D, Hsu KF, Hsu YN, Hsu JC, et al. Epidemiology of orthopedic fractures and other injuries among inpatients admitted due to traffic accidents: a 10-year nationwide survey in Taiwan. ScientificWorldJournal. 2014;2014:637872.PubMedPubMed CentralGoogle Scholar
- Leijdesdorff HA, Siegerink B, Sier CF, Reurings MC, Schipper IB. Injury pattern, injury severity, and mortality in 33,495 hospital-admitted victims of motorized two-wheeled vehicle crashes in The Netherlands. J Trauma Acute Care Surg. 2012;72:1363–8.View ArticlePubMedGoogle Scholar
- Miggins M, Lottenberg L, Liu H, Moldawer L, Efron P, Ang D. Mopeds and scooters: crash outcomes in a high traffic state. J Trauma. 2011;71:217–22.View ArticlePubMedPubMed CentralGoogle Scholar
- Lee YH, Chu D, Yang NP, Chan CL, Cheng SP, Pai JT, et al. Emergency visits among end-of-life cancer patients in Taiwan: a nationwide population-based study. BMC Palliat Care. 2015;14:25.View ArticlePubMedPubMed CentralGoogle Scholar