Data resource profile: the Korea National Hospital Discharge In-depth Injury Survey

Article information

Epidemiol Health. 2021;43.e2021052
Publication date (electronic) : 2021 August 17
doi : https://doi.org/10.4178/epih.e2021052
1Korea Disease Control and Prevention Agency, Cheongju, Korea
2Public Health and Medical Service Office, Chungnam National University Hospital, Daejeon, Korea
Correspondence: Youngtaek Kim Public Health and Medical Service Office, Chungnam National University Hospital, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Korea E-mail: ruyoung01@cnuh.co.kr
Received 2021 March 17; Accepted 2021 August 17.

Abstract

The Korea National Hospital Discharge In-depth Injury Survey (KNHDIS), which was started in 2005, is a national probability survey of general hospitals in Korea with 100 or more beds conducted by the Korea Disease Control and Prevention Agency (KDCA). The KNHDIS captures approximately 9% of discharged cases from sampled hospitals using a 2-stage stratified cluster sampling scheme, among which 13% are injury related cases, defined as S00-T98 (injury, poisoning, and certain other consequences of external causes) using International Classification of Diseases, 10th revision codes. The KNHDIS collects information on characteristics of injury-related discharges in order to understand the scale of injuries, identify risk factors, and provide data supporting prevention policies and intervention strategies. The types of data captured include the hospitals’ information, detailed clinical information, and injury-related codes such as the mechanism, activities undertaken when injured (sports, leisure activities, work, treatment, and education), external causes of the injury, and location of the occurrence of the injury based on the International Classification of External Causes of Injuries. Furthermore, the means of transportation, risk factors for suicide, and toxic substances are recoreded. Annual reports of the KNHDIS are publicly accessible to browse via the KDCA website (http://www.kdca.go.kr) and microdata are available free of charge upon request via email (kcdcinjury@korea.kr).

INTRODUCTION

Injuries constitute a major public health problem, killing more than 5 million people worldwide each year (9% of annual deaths) and causing many more cases of disability. In Korea, the death rate from injuries dropped from 61.2 deaths per 100,000 people in 2009 to 56.5 deaths per 100,000 people in 2019, with traffic accidents comprising approximately 10% of deaths among those aged 1 year to 29 years old in 2019 [1]. Injuries, both unintentional and intentional, are considered to be largely preventable events. Furthermore, injuries and their burden can be reduced by implementing effective measures for prevention and treatment [2].

In 2001, the World Health Organization (WHO) recommended implementing an injury surveillance system to educate individuals about injury prevention and treatment and improve recovery outcomes. Many countries, including the United States, Canada, Australia, and China, implemented the WHO’s injury surveillance guidelines to assess patterns and trends related to injuries [3]. In 2005, the Korea Disease Control and Prevention Agency (KDCA) launched an injury surveillance system called the Korea National Hospital Discharge In-depth Injury Survey (KNHDIS) that uses hospital-based data, patient demographic data (age, sex, and geographic area), details of patients’ injuries (intent, place, mechanism, and nature of injury), and contextual data (date of admission and discharge, outcomes, payment information) to gain a better understanding of the scale of the effects of injuries nationwide, identify risk factors, and provide data that support prevention policies and intervention strategies suggested in the WHO injury surveillance guidelines. The KNHDIS is an integrated system of data collection, analysis, interpretation, and communication. It is a national probability survey that has been conducted annually since its inception.

The KNHDIS defines patients with injury-related discharges as S00-T98 (injury, poisoning, and certain other consequences of external causes) according to the International Classification of Diseases, 10th revision (ICD-10) [4], which is designated in addition to the main diagnosis or sub-diagnosis code.

DATA RESOURCE AREA AND POPULATION COVERAGE

The KNHDIS is an ongoing probability survey that targets injured patients admitted to hospitals. The scope of the KNHDIS encompasses patients discharged from all acute general hospitals with 100 or more beds, excluding single specialized hospitals, nursing hospitals, geriatric hospitals, veterans’ hospitals, military hospitals, and rehabilitation hospitals. In addition, cases in which patients only stayed in the emergency room or had normal full-term spontaneous delivery are excluded [5]. In the past, KNHDIS data have captured multiple admissions without distinguishing between the initial admission and subsequent readmissions, except for the first year of the survey, during which multiple events were excluded altogether.

Data collection procedures

Two data collection procedures are used for the KNHDIS. One is an automated system in which the sampled hospitals utilize the automated system use an electronic medical record system to automatically extract the vaiables required for the Korea Uniform Hospital Discharge DataSet (KUHDDS), after which the hospital’s staff conduct surveys for the KUHDDS variables and injuryrelated codes. The KUHDDS included patients’ information on demographic, admission and medical categories. Then, hospitals transmit the data electronically to the data system operated by the KDCA, known as the integrated disease health management system (the IS, http://is.kdca.go.kr) [6].

The second procedure is a manual system in which sample selection and transcription of information from hospital records to abstract forms on the IS are performed by trained research staff at the KDCA.

Approximately 68.6% of sampled hospitals provide their data through the automated system, and hospitals that use the automated system accounted for 89.0% of the total data in 2018. As of 2019, the survey participation rate of sampled hospitals tended to slightly decrease over time—from 98.0% in 2004 to 95.5% in 2018 (Table 1) [7].

The number of sampled hospitals, their rates of participation, and the number of surveyed cases in the KNHDIS

Sampling design

The original sample in 2005 was selected from a pool of general hospitals listed in the national patient survey. A 2-stage stratified cluster sampling scheme was applied, and the hospitals were stratified into 4 strata based on the number of beds (100-299, 300-499, 500-999, and ≥ 1,000) and geographic location (at city and provincial levels, referred to as “si” and “do,” respectively). Sixteen regional emergency medical centers, 4 specialized emergency medical centers, and 5 specialized burn care hospitals were mandatorily selected in 2007 [8]. In the first stage of the scheme, individual hospitals are selected as the primary sampling unit (PSU). In the second stage, discharged cases from the sampled hospitals are selected as the secondary sampling unit (SSU). The selection probabilities of the sample plan are updated periodically based on previous survey results and variance in the number of hospitals. The sample size was 150 hospitals in the first year of the survey and had been expanded to 200 hospitals by 2017 [9]. The selected discharge cases comprise approximately 9% of the total discharge cases each year (approximately 10% until 2006), but they did not exceed 6,000 cases per hospital. The selection process is performed using the systematic sampling method. The number of cases selected from hospitals with non-automated KUHDDS is based on the number of beds according to the following system: a maximum of 300 cases are selected from hospitals with 100-199 beds, 420 cases from hospitals with 200-299 beds, and 540 cases for hospitals with more than 300 beds. For the 2010 survey population, the probability was doubled for children aged 0 to 4 and female aged 25 to 35 due to high estimation errors in the previous survey results. In the future, the sample size will be increased to as many as 250 hospitals to better estimate the representative statistics of each region.

The KNHDIS data capture multiple admissions without distinguishing between the initial admission and the subsequent readmissions, except in the first surveyed year, which excluded multiple events. Injury cases accounted for approximately 13% to 15% of total discharges each year, including multiple events. In 2018, 302,593 hospitalizations were reviewed, from which 38,109 injury cases were identified and examined (Table 2).

KNHDIS databases between 2004 and 2008

Estimation of total discharged cases

The survey is a complex sample survey, and appropriate weights are applied for the estimation. The number of injury cases is estimated using the estimation of the mid-year population for each year. Linear variance estimation is carried out using the Taylor series and the SURVEYMEANS procedure (SAS Institute Inc., Cary, NC, USA), using the latest version available at the time of the survey (version 9.4 was the most recent version used in 2019).

The weighting is calculated by multiplying the probability of the hospital selection (PSU) by the probability of the patient selection (SSU). The formula for estimating the total (Y^) is defined as follows:

Y^=h=1HNhnhi=1nhMhimhij=1mhiyhij=h=1Hi=1nhj=1mhiwhij·yhij

where,

h: stratum h by hospital size (h= 1,2, H= 4)

i: ith hospital in stratum h, i= 1, 2,…, nhi

j: jth patient of ith hospital in stratum h, j= 1,2, … mhi

Nh is the number of target hospitals in stratum h.

nh is the number of hospitals to be sampled in stratum h.

Mhi is the total number of discharged patients from the ith hospital in stratum h.

mhi is the number of sampled discharged patients from the ith hospital in stratum h.

Whij is the weighting of discharged patients to be sampled from hospital j in stratum h.

whij=Nhnh×Mhimhi

The variance of the estimated total number of discharged patients Y^ is computed using the following formula:

V^(Y^)=h=1HVh^(Y^)

where,

Vh^(Y^)=nhnh-1i=1nh(yhi·-yh··-)2,yhi·=j=1mhiwhij·yhij,yh··-=(i=1nhyhi·)/nh

The standard error is computed as the square root of the total variance:

V^(Y^).

Data validation and quality

The KDCA developed a quality management program that involves first checking the data transmitted into the IS. Data are subject to automatic quality control checks upon submission of the original entry. Various errors—including omission of essential items, duplicate transmissions of the same data, as well as errors in admission and discharge dates, code values for each item, operation dates, and injury occurrence dates—are analyzed and returned. During the second step, a specialized quality control team within the KDCA verifies the items surveyed and identifies any logical errors that may exist in the items (e.g., discrepancies between patients’ ages and the sources of medical expenses; external injury codes and information gathered from the in-depth survey; age, location, and activity leading to injury; age, diagnosis, and surgical code; and sex-specific diagnoses and surgical codes). Third, external experts review the cases of patients who had been hospitalized for more than 180 days, which are then excluded from the nationally representative dataset. Information related to those patients’ diseases and treatments, such as codes for diagnoses, procedures, and the original causes of injuries in patients, as well as information related to deceased neonatal patients, is provided as raw data. Any errors or information requiring reconfirmation are corrected with the hospital.

DATA COLLECTION

Patient and clinical information

The data collected include hospital information; patients’ demographic information including age, sex, zip code of residence, primary payer/insurance status; detailed clinical information; and injury-related codes related to the mechanism and location of the injury based on the International Classification of External Causes of Injuries, version 1.2 (ICECI) [10], with 30 variables collected in the core dataset (Table 3).

The KNHDIS data variables elements (as of June 2020)

Primary diagnoses and additional diagnoses are coded according to the ICD-10. Procedures were coded according to the ICD10 and the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM). The ICD-10 was used from 2005 to 2014, and the Korean Standard Classification of Diseases7th edition (KCD-7) [11] by Statistics Korea was used from 2015 onwards. The KCD-7 is the Korean version of the ICD-10 and includes Korea-specific disease codes. Primary procedures that are defined as surgical operations and additional procedures include endoscopic polypectomy, Gamma Knife radiosurgery, extracorporeal shock wave lithotripsy, and special examinations for diagnosis purposes. For each discharge record, up to 20 additional diagnostic and additional procedure codes were collected beginning with the second KNHDIS. Apart from data on diagnoses and procedures, the survey contains information on the dates of admission, each coded procedure, and discharge and injury occurrence as well as on primary payer/insurance status such as if patients were covered by national health insurance, Medical Aid (Medicaid, Medicare), car insurance, or industrial accident compensation insurance, or if they were uninsured.

Injury information

The survey’s injury-related content was developed based on the ICECI, as recommended by the WHO. Key data elements on injuries include the intent of injury, place of occurrence, injury mechanism, and activities undertaken when injured (sports, leisure activities, work, treatment, or education). Discharges with diagnoses coded as S00-T75 and T79 require further information collection on the external causes of injuries (V-Y code) and all 10 variables in the injury information dataset (Table 3). Up to 2 codes are collected to classify external causes of injury to understand the outcomes after the original injury. Injuries are classified according to intention using 4 categories: unintentional injuries, intentional injuries, violence-related injuries, and legal intervention. Possible locations where injuries can occur are classified as residences, schools or school areas, commercial facilities, farms, medical facilities, or cultural facilities such as amusement parks, public buildings, or industrial/construction sites and are linked to the external cause of injury. The injury mechanism pertains to information about the method or instrument that caused the injury. The outcome of the injury patient at the time of discharge is evaluated with medical records and coded using the Glasgow Outcome Scale of 1 to 5 (1 for dead, 2 for persistent vegetative state, 3 for severe disability, 4 for moderate disability, and 5 for good recovery).

The following items are assessed on an as-needed basis: the means of transportation (pedestrian, bicycle, motorcycle, car, bus, or airplane), suicide risk factors (conflict with family members, disease, financial problems, death in the family, or abuse), and exposure to toxic substances. For cases with the codes T78, T80-T98, and Y40- Y98, only external causes of injuries are surveyed (E, V code according to the ICD-9 and V, W, X code according to the ICD-10). The nature of injuries was surveyed separately until 2005, after which it was changed to be generated based on the S00-T98 code of the primary diagnosis or additional diagnosis. The injury discharge rate of each surveyed year was estimated using the estimated population of that year according to demographic characteristics, intent, injury mechanism, etc., from 2004 to 2017 (Table 4).

Estimated injury discharge rates1, 2004-2017

Data resource use

The KNHDIS provides a unique data source not currently available elsewhere in Korea and has been widely used by various academic researchers and policymakers. Annual reports have been published in the second half of the following year since 2006 (target data of 2004) [12]. The KNHDIS provided health statistics for the development of injury prevention-related objectives for the Health Plan 2020, which is the national comprehensive health plan devised by the Korean Ministry of Health and Welfare [13]. Specifically, the KNHDIS provided the rates of admission to hospitals for causes related to intentional or unintentional injuries and traffic accidents. In support of the presidential agenda goals, the KNHDIS has also provided statistics on 7 indicators related to safetyrelated objectives for children under the age of 14 since 2011 [14]. These included rates of admission caused by intentional/unintentional injuries, poisoning, sports/recreation injuries, traffic accidents, and pedestrian traffic accidents. The data was also used to revise the KCD by Statistics Korea [15]. With over 100 publications as of July 2020, the KNHDIS has been used to answer a variety of relevant research questions. The main research issues it addresses include the effects of disease burden [16-18], the risk factors for hospitalization duration [18-21], and epidemiologic characteristics of injuries [8,22-24]. A full list of publications that use KNHDIS data in domestic and international journals is available from the supplementary data section of the International Journal of Epidemiology website. The annual KNHDIS symposium held by the KDCA has been conducted 14 times as of 2019, and is attended by approximately 250 researchers each year. Comprehensive injury fact sheets have been published annually since 2011 in collaboration with the KDCA and various other agencies, including the fire agency, the statistics agency, the Rural Development Administration, the National Medical Center, the National Health Insurance Corporation, the Road Traffic Authority, and the School Safety and Insurance Federation. Furthermore, KNHDIS data have increased public awareness regarding the importance of injury prevention, with a chapter about injury prevention having been recently added to Korean language textbooks for fourth-graders.

Ethics statement

The study was exempt from institutional review board approval as the KNHIDS was conducted a part of national injury surveillance system and all analyses in this study were used public-open data.

STRENGTHS AND WEAKNESSES

The KNHDIS is an ongoing survey that reflects a nationally representative sample in Korea. It is a valuable source for understanding injury-related information and has been used to improve policies related to injury prevention. It also enables the identification and analysis of the trend of injuries in a time-sequential manner and continually provides systematic national health and medical statistics related to injuries for the public and the academic sector.

The KNHDIS covers not only patients with health insurance provided by the Korea National Health Insurance Service but also those who are covered by other types of insurance, such as industrial accident insurance and car insurance. Furthermore, the contents of the survey are coded using the ICD-10 and ICECI, which makes international comparisons possible.

The KNHDIS has several limitations. The KNHDIS only surveys hospitals with more than 100 beds. As such, additional surveys on hospitals with fewer than 100 beds are needed, as well as surveys on outpatient injuries. In addition, the dataset does not distinguish between cases of readmission to multiple hospitals since it does not collect personal linkable identification codes. In other words, all of the data related to 1 particular discharge case are from 1 hospital only.

DATA ACCESSIBILITY

Data are available for all years during which the survey was conducted. The annual reports can be downloaded at the KDCA website (http://www.kdca.go.kr) and the Korea Statistics website (http://mdis.kostat.go.kr). Microdata are available upon request by email (kcdcinjury@korea.kr) via an application (https://www.kdca.go.kr/board/board.es?mid=a20507030000&bid=0020). Qualified applicants can submit an application form summarizing their proposed research projects for which they plan to use the KNHDIS. Data will be transferred to successful applicants by the KDCA injury.

Notes

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

None.

AUTHOR CONTRIBUTIONS

Conceptualization: YKL, SOH, YK. Data curation: SOH, YKL, SK. Formal analysis: MP, DL. Funding acquisition: None. Methodology: SOH, YKL, YK. Writing – original draft: YKL. Writing – review & editing: YKL, SOH, SJP, MP, KW, MJ, JO, SAL, HJL, JO, DL, SK, YK.

Acknowledgements

We are grateful to all of the participants in the KNHDIS. We also appreciate the contributions of our staff members, including the medical record review staff, the Korean Medical Record Association, and the expert committees that have provided technical support to the KNHDIS.

References

1. Korea Health Promotion Institute. Death rate cause by injury. [cited 2021 Mar 12]. Available from: https://khealth.or.kr/hpl/hplIdx/idxPopup.do?pop=Y&idx_ix=262 (Korean).
2. Garcia PJ. Global burden of injuries: it is time to understand the data in order to intervene. Inj Prev 2020;26(Suppl 1):i1–i2.
3. Mirani N, Ayatollahi H, Khorasani-Zavareh D. Injury surveillance information system: a review of the system requirements. Chin J Traumatol 2020;23:168–175.
4. World Health Organization. ICD-10: international statistical classification of diseases and related health problems: tenth revision. 2004. [cited 2021 Mar 12]. Available from: https://apps.who.int/iris/handle/10665/42980.
5. Lee K, ParK J. A study on sampling design and weighting for korea hospital discharge survey Seoul: Korea Centers for Diseases Control and Prevention; 2007. (Korean).
6. Boo Y, Choi H, Kang H, Kim M, Kim J. Development of national hospital discharge survey manual using Korean uniformed hospital discharge data set Seoul: Korea Centers for Diseases Control and Prevention; 2005. (Korean).
7. Korea Centers for Diseases Control and Prevention. The annual report of Korea Hospital Discharge In-depth Injury Survey, 2004-2016 Cheongju: Korea Centers for Diseases Control and Prevention; 2018. p. 1–41. (Korean).
8. Hong SO, Kim B, Jo J, Kwon Y, Lee YK, Kim Y. Main results of the Korea National Hospital Discharge In-depth Injury Survey, 2004-2016. Epidemiol Health 2020;42e2020044.
9. Lee K. Sampling design of the hospital discharge survey for producing regional statistics Chengju: Korea Centers for Diseases Control and Prevention; 2018. p. 21–48. (Korean).
10. ICECI Coordination and Maintenance Group. International Classification of External Causes of Injuries (ICECI) version 1.2. 2004. [cited 2021 Mar 12]. Available from: https://www.whofic.nl/sites/default/files/2018-05/ICECI%20in%20English.pdf.
11. Korea Centers for Diseases Control and Prevention. 2016 Data user manual for the Korean National Hospital Discharge In-depth Survey [cited 2021 Nov 17]. Available from: https://www.kdca.go.kr/board/board.es?mid=a20507020000&bid=0019&act=view&list_no=142394 (Korean).
12. Korea Centers for Diseases Control and Prevention. The annual report of Korea Hospital Discharge In-depth Injury Survey Seoul: Korea Centers for Diseases Control and Prevention; 2006. p. 1–27. (Korean).
13. Ministry of Health and Welfare. The National Health Plan 2020 Seoul: Ministry of Health and Welfare; 2011. p. 515–530. (Korean).
14. Ministry of Health and Welfare. Reducing child accidents, making safe country for children Seoul: Ministry of Health and Welfare; 2010. (Korean).
15. Shin S, Kang J, Sun Y, Seo K, Choi H, Shin D, et al. Collection of sample coding cases based on KCD-6 coding guidance Daejeon: Statistics Korea; 2012. (Korean).
16. Kim YJ, Shin SD, Park HS, Song KJ, Cho JS, Lee SC, et al. International Classification of Diseases 10th edition-based disability adjusted life years for measuring of burden of specific injury. Clin Exp Emerg Med 2016;3:219–238.
17. Lee WK, Lim D, Park H. Disability-adjusted life years (DALYs) for injuries using death certificates and hospital discharge survey by the Korean Burden of Disease study 2012. J Korean Med Sci 2016;31(Suppl 2):S200–S207.
18. Hong J, Eo EK, Shin SD, Im TH, Lee BE, Lee YK, et al. Injury prevention priority setting based on the National Injury Surveillance data in Korea. Int J Inj Contr Saf Promot 2011;18:285–291.
19. Park HS, Kim SM. Medical characteristics of the elderly pedestrian inpatient in traffic accident. J Digit Converg 2019;17:345–352. (Korean).
20. Park JH, Kang SH. A study on the development of predictive model for severity-adjusted length of stay in nervous system patients using machine learning. Korea Inst Health Soc Aff 2019;39:390–427. (Korean).
21. Hong J, Lee WK, Kim MK, Lee BE, Shin SD, Park H. Effect of comorbidity on length of hospital stay and in-hospital mortality among unintentionally injured patients. Accid Anal Prev 2013;52:44–50.
22. Kim HJ, Cha ES, Ko Y, Kim J, Kim SD, Lee WJ. Pesticide poisonings in South Korea: findings from the National Hospital Discharge Survey 2004-2006. Hum Exp Toxicol 2012;31:751–758.
23. Lee HA, Han H, Lee S, Park B, Park BH, Lee WK, et al. The effect of contextual factors on unintentional injury hospitalization: from the Korea National Hospital Discharge Survey. BMC Public Health 2018;18:349.
24. Park JM, Kim MJ. Epidemiologic characteristics of hospitalised patients after suicidal acts from 2005 to 2016 in Korea: analysis of the Korean National Hospital Discharge Survey. J Affect Disord 2020;275:238–246.

Article information Continued

Table 1.

The number of sampled hospitals, their rates of participation, and the number of surveyed cases in the KNHDIS

Target year No. of target population hospitals
No. of sample hospitals (A)
No. of participating hospitals (B) (A/B, %)
Sum 100-299 300-499 500-999 ≥1,000 Sum 100-299 300-499 500-999 ≥1,000 Sum 100-299 300-499 500-999 ≥1,000
2004 512 334 84 84 10 150 70 27 43 10 147 (98.0) 67 (95.7) 27 (100) 43 (100) 10 (100)
2005 512 334 84 84 10 150 70 27 43 10 147 (98.0) 68 (97.1) 27 (100) 42 (97.7) 10 (100)
2006 512 334 84 84 10 150 70 27 43 10 144 (96.0) 65 (92.9) 26 (96.3) 43 (100) 10 (100)
2007 561 408 75 71 7 170 102 19 42 7 165 (97.1) 100 (98.0) 18 (94.7) 40 (95.2) 7 (100)
2008 561 408 75 71 7 170 102 19 42 7 170 (100) 102 (100) 19 (100) 42 (100) 7 (100)
2009 561 408 75 71 7 170 102 19 42 7 170 (100) 102 (100) 19 (100) 42 (100) 7 (100)
2010 561 408 75 69 9 170 103 18 40 9 166 (97.6) 101 (98.1) 18 (100) 39 (97.5) 8 (88.9)
2011 561 408 75 69 9 170 103 17 41 9 166 (97.6) 101 (98.1) 17 (100) 41 (100) 7 (77.8)
2012 561 408 75 69 9 170 103 17 41 9 166 (97.6) 101 (98.1) 17 (100) 40 (97.6) 8 (88.9)
2013 561 408 75 69 9 170 103 17 41 9 164 (96.5) 99 (96.1) 17 (100) 41 (100) 7 (77.8)
2014 561 408 75 69 9 170 103 17 41 9 164 (96.5) 98 (95.1) 17 (100) 41 (100) 8 (88.9)
2015 561 408 75 69 9 170 102 18 41 9 165 (97.1) 99 (97.1) 18 (100) 40 (97.6) 8 (88.9)
2016 561 408 75 69 9 170 101 18 42 9 161 (94.7) 95 (94.1) 17 (94.4) 41 (97.6) 8 (88.9)
2017 572 414 64 77 17 200 95 31 57 17 188 (94.0) 91 (95.8) 28 (90.3) 55 (96.5) 14 (82.4)
2018 572 414 64 77 17 200 95 31 57 17 191 (95.5) 91 (95.8) 30 (96.8) 55 (96.5) 15 (88.2)

KNHDIS, Korea National Hospital Discharge In-depth Injury Survey.

Table 2.

KNHDIS databases between 2004 and 2008

Target year No. of participating hospitals No. of discharged cases No. of injury-related cases
2004 147 175,100 26,791
2005 147 161,997 24,818
2006 144 170,008 25,511
2007 169 179,094 27,291
2008 170 190,074 28,031
2009 170 198,586 29,030
2010 166 220,838 31,654
2011 166 225,105 31,425
2012 167 235,526 32,758
2013 163 214,605 30,589
2014 165 224,061 31,389
2015 165 227,615 31,784
2016 162 235,579 30,829
2017 188 291,786 37,752
2018 191 302,593 38,109

KNHDIS, Korea National Hospital Discharge In-depth Injury Survey.

Table 3.

The KNHDIS data variables elements (as of June 2020)

Subjects Contents
Patients
Hospital information Hospital identification code, no. of beds in the hospital, hospital address
The KUHDDS
Demographics Gender sex, age at admission, date of birth, zip code
Admission information Expected source of payments, admission date, discharge date, admission route (e.g., emergency, outpatient)
Medical information Primary diagnosis KCD-10 (KCD-7) code, additional diagnosis KCD-10 (KCD-7) code (up to 20)1, external cause of injury (up to 2)2, primary procedure ICD-9-CM, date of procedure, additional procedure code (up to 20)1, discharge method, underlying cause of death, discharge disposition (e.g., home, other health care facility, expired), treatment result (e.g., improved, deceased)
Injured patients (injury information)
S00-T75, T79 (ICD-10) Intent, place of occurrence, activity when injured, mechanism of injury, date of injury occurrence, nature of injury (e.g., superficial injury, open wound, fracture; generated from ICD code T00-07, T20-632), mode of transport, proximal risk factors for intentional self-harm (e.g., conflict with family members, physical illness, financial problems), exposure to toxic substances, Glasgow Outcome Scale score, external causes of injuries (V-Y code)
T78, T80-T98, Y40-Y98 (ICD-10) External causes of injuries (V-Y code)

KNHDIS, Korea National Hospital Discharge In-depth Injury Survey; KUHDDS: Korea Uniformed Hospital Discharge DataSet; KCD, Korean Standard Classification of Diseases; ICD-9-CM, International Classification of Diseases, 9th revision, Clinical Modification.

1

Surveyed up to 5 in 2004.

2

Surveyed up to 1 in 2004.

Table 4.

Estimated injury discharge rates1, 2004-2017

Variables 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Total 9,081 9,477 9,490 10,091 10,518 11,131 11,979 12,488 13,093 13,184 13,505 13,800 14,218 14,199
Non-injuries 7,722 8,007 7,995 8,551 8,891 9,464 10,136 10,663 11,164 11,222 11,499 11,732 12,162 12,042
Injuries 1,359 1,470 1,495 1,541 1,628 1,667 1,843 1,825 1,929 1,962 2,006 2,068 2,056 2,157
Intent 1,627 1,713 1,575 1,787 1,837 1,872 2,057 2,019 2,119 2,118 2,121 2,169 2,087 2,160
Non-intentional 1,505 159 1,622 1,669 1,721 1,762 1,947 1,913 2,021 2,006 2,015 2,070 2,007 2,082
Intentional 111 113 115 105 111 106 105 101 91 92 90 82 74 71
Unknown 10 10 15 12 3 4 5 5 6 20 16 17 6 5
Age (yr)
0-14 880 868 835 862 912 872 918 918 963 921 964 901 804 795
15-24 1,373 1,468 1,495 1,574 1,560 1,573 1,655 1,634 1,697 1,608 1,672 1,747 1,623 1,567
25-34 1,620 1,697 1,741 1,833 1,863 1,844 1,959 1,929 1,911 1,836 1,811 1,745 1,656 1,639
35-44 1,824 1,875 1,970 1,900 1,880 1,939 2,004 1,903 1,938 1,947 1,805 1,817 1,743 1,685
45-54 2,111 2,280 2,315 2,335 2,333 2,463 2,648 2,588 2,626 2,632 2,525 2,564 2,313 2,326
55-64 2,570 2,705 2,666 2,643 2,613 2,755 2,904 2,894 3,083 3,070 3,044 3,137 3,064 3,263
65-74 3,072 3,174 34,378 3,201 3,434 3,446 3,967 3,686 3,941 3,941 4,000 3,830 3,896 4,094
≥75 3,958 4,188 4,451 4,226 4,641 4,481 5,242 5,057 5,644 5,485 5,786 6,101 6,272 6,666
Injury mechanism
Traffic accident 669 690 714 746 743 745 772 734 771 729 731 738 670 660
Fall 463 491 518 504 532 558 654 668 703 748 736 783 792 873
Struck by/against 164 173 246 243 242 239 268 263 274 248 251 252 231 256
Stabbing 86 141 87 72 77 68 74 67 69 75 62 68 77 81
Poisoning 47 47 61 52 55 58 58 55 57 57 59 53 50 45
Fire/Flame2 35 323 35 46 54 61 59 52 56 56 67 58 51 31
Other 163 152 90 124 134 143 172 180 189 205 215 217 216 214
1

Discharge rate: the discharge rate per 100,000 people used population estimates from the surveyed years.

2

Estimates with a relative standard error of less than 5.