Approximately what percentage of all hospital admissions originate in the emergency department?

  • Journal List
  • J Clin Med
  • v.10(8); 2021 Apr
  • PMC8072932

J Clin Med. 2021 Apr; 10(8): 1747.

June-sung Kim,1 Dong Woo Seo,1 Youn-Jung Kim,1 Seok In Hong,1 Hyunggoo Kang,2 Su Jin Kim,3 Kap Su Han,3 Sung Woo Lee,3 Sungwoo Moon,4 and Won Young Kim1,*

John G. Kellett, Academic Editor

Abstract

(1) Background: The emergency department provides lifesaving treatment and has become an entry point to hospital admission. The purpose of our study was to describe the characteristics and outcomes of patients who were admitted through the emergency department to the intensive care unit or general ward. (2) Methods: We performed a retrospective, cross-sectional, descriptive analysis using the National Emergency Department Information System, analyzing patient data including disease category, diagnosis, and mortality from 1 January 2016, to 31 December 2018. (3) Results: During the study period, about 13.6% were admitted through the emergency department. Of these, the overall in-hospital mortality was 4.6%. The frequent disease class for the intensive care unit admissions was the cardiovascular system, and the classes for the general ward admissions were as follows: injury and toxicology, digestive system, and respiratory system. Cardiovascular system-related emergencies were the predominant cause of death among patients admitted to the intensive care unit; however, oncologic complications were the leading cause of death in the general ward. (4) Conclusions: Emergency departments are incrementally utilized as the entry point for hospital admission. Health care providers need to understand emergency department admission epidemiology and prepare for managing patients with certain common diagnoses.

Keywords: hospital admission, epidemiology, hospital utilization, emergency department

1. Introduction

Emergency departments (EDs) have a crucial role in the health care system, acting as hospital admission gatekeepers and a place for the provision of lifesaving treatment. Recent studies have proven that immediate interventions and admission through an ED for various diseases, such as ST-segment elevation myocardial infarction, acute ischemic stroke, and geriatric trauma, could improve outcomes [1,2,3]. The utility of EDs has been increasing and has outpaced the growth of the general population. This has been caused primarily by an increase in the proportion of aging patients with greater rates of chronic diseases [4,5]. Admissions through an ED have also increased simultaneously [6]. Between 2003 and 2009 in the United States of America (USA), hospital admissions originating in the ED increased by 17%, whereas admissions from physicians’ offices and clinics decreased by 10% [7]. Furthermore, another study announced that 70% of hospital admissions were processed through the ED, and there was a linear association between age and the ED admission in the USA [8]. The characteristics of admissions through the ED greatly differ from those of regularly scheduled admissions. Patients requiring emergency admission were typically older, had more comorbidities, and had severe acute illnesses [9]. Moreover, there were potential differences in emergency admitted patients between the general ward (GW) and intensive care unit (ICU) [10,11]. Assessing the epidemiology of patients admitted through an ED is essential to prepare and manage hospital bed resource; however, data on disease classification, specific diagnosis, and mortality in patients admitted from the ED to the hospital are limited. Kwak et al. conducted a retrospective study and described the nation-wide ED utilization pattern by children in Korea [12]. Chen et al. compared the epidemiological characteristics and disease spectrum of patients of two EDs in China [13]. However, these studies did not provide specific diagnoses, classifications, and mortality for both the ICU and GW [12,13].

The primary purpose of this study was to describe common disease classifications and specific diagnoses in patients admitted to the hospital from the ED between 2016 and 2018. We also examined the frequent specific diagnoses in non-survival patients to provide insights for preparing future medical resources.

2. Materials and Methods

2.1. Study Design

This retrospective, cross-sectional, descriptive, nationwide study was conducted using the National Emergency Department Information System (NEDIS) between 1 January 2016, and 31 December 2018. NEDIS was started in 2003 by the Ministry of Health and Welfare and is managed by the National Emergency Medical Center of Korea. NEDIS covers all clinical and administrative data on patients who visit EDs throughout the country to maintain ED quality and enhance the emergency medical service system [14]. It is regarded as a reliable source of ED data due to the fact that >98% of EDs participate in the system and annual governmental review of the data. This study was approved by the Institutional Review Board of the study facility, and informed consent was waived because of the anonymous nature of the data.

2.2. Study Setting and Population

According to the Korean Emergency Medical Care Act, there are three categories of EDs, ranging from large to small regarding the size and role of EDs, i.e., regional emergency centers, local emergency centers, and local emergency institutes. The NEDIS has a variable to differentiate the hospitals according to the levels. We included all admitted patients through EDs of both regional emergency centers and local emergency centers. Patients were excluded if they had visited local emergency institutes because the characteristics of patient population and disease spectrum were totally different from others. Most local emergency institutes in Korea have no ICUs and find it hard to manage patients with critical illnesses. In addition, we excluded patients who were discharged, died, transferred to other hospitals in the ED, or had missing outcome data, such as lost to follow-up. Available variables were extracted, such as demographics, insurance status, route of arrival (direct from the scene or home, transfer from other outpatient clinic or hospital), causes of ED visits (medical or trauma), acuity at the initial triage, and location of admission. According to the Korean Triage and Acuity Scale (KTAS), acuity at the initial triage was rated between 1 and 5, with level 1 indicating the most severely ill patients [15,16]. Length of stay, in line with the previous study, was defined as the interval (in minutes) between patient arrival at the ED and subsequent departure [17].

2.3. Measures

We compared the number and rate of admissions by location (i.e., ICU and GW) and collected clinical outcomes on the admitted patients, including discharge, death, and transfer. Others (0.7%) included all unclassified cases discharged without adequate recommendations and patients who ran away. We used the final diagnosis on admission according to the Korean Standard Classification of Disease and Cause of Death (KCD) codes [18]. KCD codes are managed by Statistics Korea, a central organization for statistics under the Ministry of Strategy and Finance, and identical to the International Classification of Disease 10. Furthermore, the diseases and causes of death were classified based on Statistics Korea.

2.4. Data Analysis

All statistical analyses were performed with R statistics software, version 3.5.0 (R Foundation for Statistical Computing, Vienna, Austria). Continuous parameters were presented as means and standard deviations (S) and compared using the Student’s t-test or the Mann–Whitney U test. Categorical parameters were expressed as a number and percentage and compared with chi-square tests. p values of < 0.05 were considered to be statistically significant.

3. Results

A total of 27,483,303 patients visited EDs throughout Korea (9,127,979 vs. 9,089,055 vs. 9,266,269, 2016, 2017, 2018, respectively) during the study period, of these, 21,844,366 (83.7%) were discharged, 145,250 (0.6%) died in the EDs, and 467,592 (1.8%) were transferred to other hospitals (Figure 1). Of the 3,539,945 (13.6%) ED admissions (599,434 (92.3%) for ICU and 2,950,511 (11.3%) for GW), 3,004,984 (86.1%) resulted in discharge, 162,065 (4.6%) died during hospital stay, and 295,706 (8.5%) were transferred to other hospitals after discharge. The total admission number and rates continuously increased from 1,144,407 (12.5%) in 2016 to 1,215,171 (13.1%) in 2018. Furthermore, the absolute number of admissions to the GW continuously increased from 2016 (n = 943,737) to 2018 (n = 1,021,534) (Figure 2). Meanwhile, the number of admissions to the ICU decreased from 2016 (n = 200,607) to 2018 (n = 193,637).

Study flowchart. ED, emergency department; NEDIS, National Emergency Department Information System.

Trends of the total admission through the emergency department during the study period. ED, emergency department; GW, general ward; ICU, intensive care unit.

3.1. Baseline Characteristics of the Study Population

Table 1 shows the baseline characteristics of patients admitted through the ED according to the admission location. Male sex was predominant with a mean age of 53.4 years old. Direct visits (61.1 for ICU vs. 68.9% for GW) and transfers from outpatient departments (2.5 vs. 5.2%) were frequent in the GW group, and transfers from other hospitals (36.4 vs. 25.9%) were common in the ICU group. Medical problems were prevalent in both groups (80.6 vs. 82.7%), and mean ED length of stay was significantly shorter in the ICU group than in the GW group (353.2 vs. 455.0 min). KTAS 1 and 2, called severe illness, were more common in the ICU group (10.0 vs. 0.8% for KTAS 1, 37.5 vs. 10.5% for KTAS 2).

Table 1

Baseline characteristics of the study population.

VariableTotal
(n = 3,539,945)ICU
(n = 589,434)GW
(n = 2,950,511) p
Gender
Male (n, %) 1,908,254 (53.9) 350,475 (59.5) 1,557,779 (52.8) <0.01
Female (n, %) 1,631,691 (46.1) 238,959 (40.5) 1,392,732 (47.2) <0.01
Age (year) 53.4 ± 25.7 62.5 ± 20.2 51.6 ± 26.3 <0.01
<18 (n, %) 491,239 (13.9) 25,916 (4.4) 465,323 (15.8)
18–44 (n, %) 638,695 (18.0) 71,253 (12.1) 567,442 (19.2)
45–64 (n, %) 1,013,495 (28.6) 191,046 (32.4) 2,950,511 (27.9)
≥65 (n, %) 1,396,515 (39.5) 301,218 (51.1) 1,095,297 (37.1)
National insurance (n, %) 3,038,589 (85.8) 484,277 (82.2) 2,554,312 (86.6) <0.01
Route of arrival <0.01
Directly visit (n, %) 2,391,715 (67.6) 359,984 (61.1) 2,031,731 (68.9)
Referred from OPD (n, %) 169,338 (4.8) 14,608 (2.5) 154,730 (5.2)
From other hospitals (n, %) 977,557 (27.6) 214,501 (36.4) 763,056 (25.9)
Others (n, %) 1076 (0.0) 244 (0.0) 832 (0.0)
   Unknown 259 (0.0) 97 (0.0) 162 (0.0)
Disease type <0.01
Medical (n, %) 2,913,685 (82.3) 474,860 (80.6) 2,438,825 (82.7)
Trauma (n, %) 606,336 (17.1) 97,452 (16.5) 508,884 (17.2)
Unknown (n, %) 19,924 (0.6) 17,122 (2.9) 2802 (0.1)
EDLOS (min) 438.0 ± 665.1 353.2 ± 741.4 455.0 ± 647.5 <0.01
Level of hospital <0.01
Regional emergency centers (n, %) 1,293,935 (36.6) 252,362 (42.8) 1,041,573 (35.3)
Local emergency centers (n, %) 2,246,010 (63.4) 337,072 (57.2) 1,908,938 (64.7)
KTAS <0.01
1 (n, %) 83,101 (2.3) 58,811 (10.0) 24,290 (0.8)
2 (n, %) 530,657 (15.0) 221,319 (37.5) 309,338 (10.5)
3 (n, %) 1,846,874 (52.2) 236,511 (40.1) 1,610,363 (54.6)
4 (n, %) 941,739 (26.6) 46,837 (7.9) 894,902 (30.3)
5 (n, %) 115,900 (3.3) 6429 (1.1) 109,471 (3.7)
Missing (n, %) 21,674 (0.6) 19,527 (3.3) 2147 (0.1)

3.2. Frequencies of Disease Classes

Table 2 shows the frequencies of disease classes according to admission location. Over half (59.5%) of all cases comprised injury (17.2%), and emergencies related to the digestive system (15.2%), circulatory system (13.4%), and respiratory system (12.7%). The circulatory system (35.3%) was the leading cause of admission in the ICU, followed by injury (16.8%), and respiratory system (10.2%). Injury (17.3%) and digestive system (16.3%) were common in the GW, and a higher proportion of patients were admitted in the GW for neoplasms (9.1%) than in the ICU (4.0%).

Table 2

Frequencies of disease classes according to admission type.

RankTotal (n = 3,539,945)ICU (n = 589,434)GW (n = 2,950,511)CodeFrequency (%)CodeFrequency (%)CodeFrequency (%)
1 Injury 608,555 (17.2) Circulatory system 207,850 (35.3) Injury 509,450 (17.3)
2 Digestive system 539,058 (15.2) Injury 99,105 (16.8) Digestive system 481,367 (16.3)
3 Circulatory system 472,996 (13.4) Respiratory system 59,857 (10.2) Respiratory system 389,908 (13.2)
4 Respiratory system 449,765 (12.7) Digestive system 57,691 (9.8) Neoplasms 268,486 (9.1)
5 Neoplasms 291,911 (8.2) Not classified 33,385 (5.7) Circulatory system 265,146 (9.0)
6 Genitourinary system 246,785 (7.0) Genitourinary system 27,721 (4.7) Infectious disease 221,594 (7.5)
7 Infectious disease 243,932 (6.9) Neoplasms 23,425 (4.0) Genitourinary system 219,064 (7.4)
8 Not classified 225,347 (6.4) Infectious disease 22,338 (3.8) Not classified 191,962 (6.5)
9 Nervous system 95,396 (2.7) Nervous system 17,118 (2.9) Skin disorders 78,314 (2.7)
10 Musculoskeletal system 81,880 (2.3) Metabolic diseases 16,067 (2.7) Nervous system 78,278 (2.7)
11 Metabolic diseases 76,389 (2.2) Contact health services 5976 (1.0) Metabolic diseases 60,322 (2.0)
12 Pregnancy 42,813 (1.2) Mental disorders 5051 (0.9) Pregnancy 40,064 (1.4)
13 Ear disease 32,286 (0.9) Musculoskeletal system 3566 (0.6) Ear disease 31,657 (1.1)
14 Mental disorders 31,028 (0.9) Pregnancy 2749 (0.5) Diseases of the skin 28,155 (1.0)
15 Skin disorders 29,394 (0.8) Blood disorders 2042 (0.4) Mental disorders 25,977 (0.9)
16 Blood disorders 25,806 (0.7) Perinatal disorders 1720 (0.3) Blood disorders 23,764 (0.8)
17 Contact health services 18,692 (0.5) Developmental anomalies 1503 (0.3) Contact health services 16,972 (0.6)
18 Visual system disease 11,191 (0.3) Skin disorders 1239 (0.2) Visual system disease 10,945 (0.4)
19 Perinatal disorders 8375 (0.2) Ear disease 629 (0.1) Developmental anomalies 6355 (0.2)
20 Developmental anomalies 7858 (0.2) Visual system disease 246 (0.0) Perinatal disorders 2399 (0.1)
21 External causes 343 (0.0) External causes 132 (0.0) External causes 211 (0.0)
22 Special purposes 145 (0.0) Special purposes 24 (0.0) Special purposes 121 (0.0)

3.3. Common Specific Diagnoses

Table 3 shows the common specific diagnoses of admitted patients. Pneumonia (0.045%) was the most common cause in the total population, followed by acute appendicitis, cerebral infarct, and acute kidney injury. Hemorrhagic stroke (0.088%) and acute myocardial infarction (0.083%) were predominant in the ICU, and pneumonia (0.043%) and acute appendicitis (0.032%) were frequent in the GW.

Table 3

Top 20 common diagnoses of admitted patients.

RankTotal (n = 3,539,945)ICU (n = 589,434)GW (n = 2,950,511)CodeFrequency (%)CodeFrequency (%)CodeFrequency (%)
1 Pneumonia 158,554 (4.5) Hemorrhagic stroke 51,982 (8.8) Pneumonia 127,374 (4.3)
2 Acute appendicitis 95,558 (2.7) AMI 49,156 (8.3) Acute appendicitis 93,978 (3.2)
3 Cerebral infarct 92,835 (2.6) Pneumonia 31,180 (5.3) Rectal cancer complication 81,405 (2.8)
4 AKI 86,441 (2.4) Cerebral infarct 28,475 (4.8) Cerebral infarct 69,191 (2.3)
5 Rectal cancer complications 84,716 (2.4) Sepsis 12,448 (2.1) AKI 65,760 (2.2)
6 Urinary tract infection 44,178 (1.2) Heart failure 10,477 (1.8) Urinary tract infection 37,558 (1.3)
7 AMI 43,346 (1.2) AKI 9236 (1.6) Femur neck fracture 34,465 (1.2)
8 Seizure 37,413 (1.1) Ischemic heart disease 8091 (1.4) Enterocolitis 27,266 (0.9)
9 Femur neck fracture 35,461 (1.0) Cardiac arrest 7831 (1.3) HCC complication 21,195 (0.7)
10 Hemorrhagic stroke 33,500 (0.9) Urinary tract infection 6620 (1.1) Concussion 21,000 (0.7)
11 Enterocolitis 28,729 (0.8) CKD 5127 (0.9) Acute cholecystitis 20,888 (0.7)
12 HCC complications 24,339 (0.7) Gastrointestinal hemorrhage 4890 (0.8) Fever, unspecified 20,368 (0.7)
13 Heart failure 24,051 (0.7) Ischemic heart disease 4568 (0.8) Acute pancreatitis 18,956 (0.6)
14 CKD 23,140 (0.7) Gastric ulcer 3552 (0.6) Acute cholangitis 18,529 (0.6)
15 Concussion 22,247 (0.6) Pulmonary embolism 3519 (0.6) Neck sprain 18,403 (0.6)
16 Acute cholecystitis 21,880 (0.6) Rectal cancer terminal complication 3311 (0.6) CKD 18,013 (0.6)
17 Fever, unspecified 21,255 (0.6) Seizure 3221 (0.5) Seizure 17,904 (0.6)
18 Acute cholangitis 20,110 (0.6) HCC complication 3144 (0.5) Dizziness 16,801 (0.6)
19 Acute pancreatitis 19,992 (0.6) Alcoholic liver cirrhosis 2563 (0.4) Heart failure 16,272 (0.6)
20 Sepsis 19,628 (0.6) Pulmonary edema 2173 (0.4) Lung cancer complications 15,201 (0.5)

3.4. Causes of Death Classification

Figure 3 shows the most common causes of death classification. Neoplasms were the leading causes of death in the total (30%) and GW (48%) group. Meanwhile, diseases of the circulatory system had the largest proportion of deaths (32%), followed by respiratory system emergencies (19%), and injury (12%) in the ICU group.

Top 5 disease classifications that lead to death among patients admitted through the emergency department. GW, general ward; ICU, intensive care unit.

3.5. Causes of Death Diagnoses

Figure 4 shows the specific KCD codes for in-hospital deaths. Pneumonia was the most frequent diagnosis in both the ICU (n = 9392, 12.3%) and GW (n = 11,009, 12.9%). Sepsis (n = 4601, 6.1%) was second-most common, followed by hemorrhagic stroke (n = 4450, 5.9%), and cardiac arrest (n = 3825, 5.0%) in the ICU admission. Meanwhile, incidence of cancers, including lung cancer (n = 7279, 8.5%) and hepatocellular carcinoma (n = 4759, 5.5%), were more common than that of sepsis (n = 2279, 2.6%) in patients admitted to the GW.

Top 10 diagnosed causes of death among patients admitted through the emergency department. CCC, cholangiocellular carcinoma; HCC, hepatocellular carcinoma; GB, gallbladder; GW, general ward; ICU, intensive care unit; SDH, subdural hematoma.

4. Discussion

Information on common causes of admission through the ED and the cause of death provide insight into a community’s health care system. Our results clearly showed (1) 13.6% (2.3% ICU and 11.3% GW) of patients were admitted through the ED, (2) cardiovascular system-related emergencies comprised more than one-third of the total ICU admission cases, and oncologic diseases were the leading causes of GW admission, (3) around one-twentieth died during admission and pneumonia was the most common diagnosis of death for both ICU and GW, and (4) cardiovascular system-related emergencies, such as acute stroke, cardiac arrest, and myocardial infarct were the predominant cause of death in the ICU; however, oncologic complications were the leading cause of death in the GW, and digestive issues and injuries were relatively less common.

In the 2017 Emergency Department Benchmarking Alliance (EDBA) report, the performance measures survey showed that the average proportion of patients admitted to hospital from the ED was 16.9%, and their length of stay was 303 min in the USA. Our study confirmed that Korea’s ED admission rate is approximately 13%, which increased from 12.5% in 2016 to 13.1% in 2018. This growth was primarily due to the rise in admissions to the GW. Previous epidemiologic studies of ED utilization on the detailed categorization of patients with entire emergency admission records are limited. Recent nationwide analyses in the USA reported emergency care-sensitive conditions and showed sepsis, chronic obstructive pulmonary disease, pneumonia, and heart failure were predominant [19]. In line with previous research, we found that cardiovascular, pulmonary, gastrointestinal, and oncologic issues were the leading causes of urgent admissions. Moreover, pneumonia, cerebral infarction, acute kidney injury, and heart failure were the common attributing diagnoses on admission. These may reflect the geriatric populations with multiple comorbidities as the mainstay of hospital resources. One nationwide descriptive study in Korea with pediatric visits announced that 15.5% of patients were admitted to the ED and fever was the most common symptom [12]. However, they did not provide information on the detailed diagnosis or classification for admission.

We additionally found a common mortality rate and cause of death among admitted patients through the ED. One of the benefits of the NEDIS registry is that death information is included and can be used to calculate nationwide ED mortality. Even though mortality could be impacted by varying illness severity and study population, the rate was quite similar to a previous nationwide study in England (4.8%) [20]. Another retrospective multicenter cohort study showed that the mortality of acutely admitted patients increased up to 10-fold compared with the general population [21]. Our results showed that pneumonia was the most common cause of death in both the ICU and GW. Furthermore, cardiovascular accidents were common in the ICU, and cancer-related problems were frequent reasons for mortality in the GW. For example, patients with pneumonia tend to require more medical resources than other diseases, such as high flow nasal cannula, mechanical ventilator, and negative pressure rooms [22]. Moreover, patients with pneumonia could negatively impact ED overcrowding, which worsened patients’ overall outcomes [22]. Regarding acute ischemic or hemorrhagic stroke, urgent interventions, such as administration of the thrombolytic agent, or hemispheric decompression, with emergent admission through ED to ICU, are known to be the single most important treatment to improve neurologic outcome [23]. Meanwhile, Majzoub et al. reported that early palliative care consultations after ED admission were associated with lower risk for hospital death, and limited palliative care resources needed to be directed to those patients who were admitted through ED [24]. These data could give additional insights for preparation of future administration.

This study has several limitations. First, the NEDIS data were collected from large EDs, therefore, the generalization of the results to small hospitals may not be appropriate. However, the significance of the outcomes could provide detailed information on medical resources. Second, the NEDIS database does not disclose each ED’s clinical data, so appropriate patient management could not be confirmed. Third, we used the first NEDIS diagnosis only for both admission and death analyses. While this approach may have deprived analysis of the complete information, we assumed the initial diagnosis would reflect the full situation.

5. Conclusions

In conclusion, ED admissions are increasing. Healthcare providers need to understand the epidemiology of ED admissions and prepare to manage these patients with a specific common diagnosis.

Acknowledgments

The authors thank those personnel of the NEDIS participating institutions who contributed the collection and distribution of national data on emergency department utilization.

Author Contributions

Conceptualization, W.Y.K.; methodology, W.Y.K. and D.W.S.; validation, Y.-J.K. and S.I.H.; formal analysis, J.-s.K.; investigation, J.-s.K.; data curation, H.K., S.J.K., K.S.H., S.M. and S.W.L.; writing—original draft preparation, J.-s.K.; writing—review and editing, W.Y.K., Y.-J.K. and S.I.H.; visualization, J.-s.K.; supervision, W.Y.K.; funding acquisition, W.Y.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the special committee in the Korean Society of Emergency Medicine.

Institutional Review Board Statement

Ethical review and approval were waived for this study, due to the retrospective design and anonymous characteristic data of the National Emergency Department Information System.

Informed Consent Statement

Patient consent was waived due to the observational and non-interventional characteristics of the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

W.Y.K., H.K., S.J.K., K.S.H. and S.M. are members of the special committee in the Korean Society of Emergency Medicine for evaluation of emergency medical institutions, but they made no influence on this work. Other authors have no potential conflicts of interest to disclose.

Footnotes

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Articles from Journal of Clinical Medicine are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

Which type of hospitals comprises the majority of hospitals in the US?

Acute care hospitals provide short-term care for illness, disease, injury, or surgery. In contrast, long-term care is typically for chronic illness, rehabilitation, or psychiatric care. Most hospitals by far are acute-care facilities (88%).

Which of the following is the most common type of hospital in the United States?

Most US hospitals are classified as community hospitals according to the American Hospital Association. Two-thirds are located in large cities. Some community hospitals provide general care, and others focus on certain diseases and conditions, such as orthopedics, to provide specialty care.

How many people go to the hospital each year?

In 2019, there were over 36.2 million hospital admissions in the United States.

What is the most common cause of injury among US hospital workers?

The most common cause of injury is “overexertion or bodily reaction.” The most common injuries resulting in days away from work are sprains and strains, which account for 54 percent of these injuries (Figure 5).

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