Journal List > J Korean Med Sci > v.36(45) > 1148246

Bae, Park, Park, and Kang: Analysis of Tertiary Hospital Utilization in Pediatric Orthopaedics: a Study Using Nationwide Sample Data from Korea

Abstract

Background

In the Korean medical system, the severity classification for a specific disease depends primarily on its nationwide admission rate in tertiary hospitals. Inversely, one of the important designation criteria for a tertiary hospital is the hospital's treatment ratio of patients classified as having a specific severe disease. Most diseases requiring pediatric orthopaedic surgery (POS) are not currently classified as high severity in terms of disease severity. We investigated the admission rates for the representative POS diseases in tertiary hospitals and compared these rates with those for adult orthopaedic surgery (AOS) diseases.

Methods

Seven POS diagnoses and three AOS diagnoses were selected based on frequency of admission. Nationwide sample data were used to investigate the admission rates for these representative diagnoses from 2008 to 2017.

Results

Six of the seven frequent POS diagnoses presented high admission rates in tertiary hospitals (62.5–92.3%). In contrast, all frequent AOS diagnoses presented low admission rates in tertiary hospitals.

Conclusion

The admission rates of frequent POS diagnoses in tertiary hospitals are high. Considering that these rates are the most important factors for the classification of disease severity, POS diseases seem to be underestimated in terms of severity. This may lead to a tendency for tertiary hospitals to intentionally reduce the admission of children with POS diseases. As a result, these children may not receive appropriate professional care. Therefore, for the disease severity, POS diseases should be classified differently from general AOS diseases by using different criteria reflecting the patient's age.

Graphical Abstract

jkms-36-e289-abf001.jpg

INTRODUCTION

With the advancement in medicine came a rise in demand for medical resources, thus leading to a sharp increase in healthcare expenditures.1 This situation created a need for an efficient utilization of medical resources. Thus, the concept of the healthcare delivery system was introduced.2 In the Republic of Korea, to ensure the efficient distribution and use of medical resources, the healthcare delivery system divides the hospitals into clinics, hospitals, general hospitals, and tertiary referral general hospitals (tertiary hospitals) according to referral levels.3
Tertiary hospitals are used principally for the treatment of seriously ill patients. Owing to the complexity of the required treatments, a higher rate of insurance reimbursement is disbursed to tertiary hospitals. However, when patients with non-severe diseases are treated in a tertiary hospital, this high payment rate results in an increase in medical expenses. Therefore, the Korean Ministry of Health and Welfare designed a system that considers the severity of patients' diseases. The Ministry issues a penalty to a tertiary hospital if a patient is treated with a low severity disease. In this system, the diseases that are the most difficult to diagnose/treat are classified into the “disease group requiring specialized management.”4 The authors have referred to these as ‘severe diseases’ or the ‘severe disease group’ and others as ‘non-severe diseases’ or the ‘non-severe disease group’ throughout the manuscript. There are various criteria for establishing hospital designations; however, the main factor determining disease severity is the nationwide admission rate. A high rate (usually > 60%) of admissions to tertiary hospitals indicates a disease of high severity. Such diseases are prone to be included in the severe disease group.5 For example, if 100 people were hospitalized for a specific disease and 60 of them were hospitalized at a tertiary hospital, the admission rate for tertiary hospitals would be 60%.
Pediatric orthopaedic surgery (POS) is a subspecialty of orthopaedic surgery, treating various orthopaedic diseases in children. Many of these diseases are rare and often difficult to diagnose appropriately.6 If these diseases are not treated properly, serious complications could occur.7 This is consistent with the definition of diseases included in the severe disease group. However, in the Korean medical system, the current criteria for the POS disease grouping do not significantly consider factors relevant to growing children such as the patient's age.48 It does not account for differences between pediatric and general orthopaedic diseases, and most POS diseases are also classified into the ‘non-severe disease’ as general orthopaedic diseases.9
Thus, investigating the admission rates to tertiary hospitals for POS diseases will assist in determining whether POS diseases are underestimated in the current criteria for this disease grouping, because it is one of the important selection criteria for the severe disease group.5 However, it would be difficult to obtain generalizable results if individual hospital-based data were used for analysis as medical situations differ among hospitals. To obtain more reliable and accurate results, the use of data from a nationwide database of claim records is appropriate.
This study aimed to investigate the rates of admission to tertiary and non-tertiary hospitals for POS diseases and to compare these admission rates with those of adult orthopaedic surgery (AOS) diseases. For this, we determined the most frequent POS and AOS diagnoses. Nationwide sample data were used for analysis.

METHODS

International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) diagnostic codes of POS and AOS diagnoses for admission

Frequent POS and AOS diagnoses for admission were investigated using the ICD-10. ICD-10 is an alphanumeric code. The first position comprises letters encompassing 21 major categories; this makes it easier to understand the classification of the disease groups.10 For example, ‘M’ implies diseases of the musculoskeletal system and connective tissue. ‘Q’ implies congenital malformations, deformations, and chromosomal abnormalities. ‘S’ implies injury, poisoning, and certain other consequences of external causes. Three-character categories express a single condition, and these are subdivided into 10 subcategories by the fourth numeric character using a decimal point. Four-character subcategories were used in this study.

Determination of frequent POS diagnoses for admission

The frequent POS diagnoses for admission were selected by three pediatric orthopaedic experts (KHB, SSP, MSK). The selection was based on a report of frequent diseases on admission to the pediatric orthopaedic department in tertiary hospitals by the Korean Pediatric Orthopaedic Society data (not published) and previous studies.71112 The seven most common POS diseases were chosen as follows: Legg-Calve-Perthes disease, limb angular deformity, slipped capital femoral epiphysis, developmental dysplasia of the hip, congenital foot deformity, poly/syndactyly, and distal humerus fracture. The frequent POS diagnoses and their diagnostic codes are listed in Table 1.
Table 1

Frequent POS diagnoses and their diagnostic codes

jkms-36-e289-i001
Diagnosis ICD-10 codec
LCPD M91.1, juvenile osteochondrosis of head of femur
Limb angular deformity M21.0, valgus deformity, not elsewhere classified
M21.1, varus deformity, not elsewhere classified
SCFE M93.0, slipped upper femoral epiphysis
DDH Q65.0–Q65.5, congenital dislocation of hip
Q65.6, congenital unstable hip
Congenital foot deformitya Q66.8, other congenital deformities of feet
Poly/syndactyly Q69.0, accessory finger(s)
Q69.1, accessory thumb(s)
Q69.2, accessory toe(s)
Q69.9, polydactyly, unspecified
Q70.0, fused fingers
Q70.1, webbed fingers
Q70.2, fused toes
Q70.3, webbed toes
Q70.4, polysyndactyly, unspecified
Q70.9, syndactyly, unspecified
Distal humerus fractureb S42.4, fracture of lower end of humerus
POS = pediatric orthopaedic surgery, ICD-10 = International Statistical Classification of Diseases and Related Health Problems, 10th revision, LCPD = Legg-Calve-Perthes disease, SCFE = slipped capital femoral epiphysis, DDH = developmental dysplasia of the hip.
aIncludes clubfoot, curly toe, congenital vertical talus, brachymetatarsia, claw toe, skewfoot, and delta phalanx; bIncludes supracondylar humeral fracture, lateral condylar fracture, and medial epicondylar fracture; cThe first letter indicates the topic: “M” means diseases of the musculoskeletal system and connective tissue; “Q” means congenital malformations, deformations, and chromosomal abnormalities; and “S” means injury, poisoning, and certain other consequences of external causes.

Determination of frequent AOS diagnoses for admission

For frequent AOS diagnoses for admission, open data of national admission statistics between 2018 and 2019 and previous studies were reviewed.13141516 These open data are a survey of total admission counts and their diagnostic codes for all Koreans. The three most common orthopaedic diagnoses were chosen as follows: knee osteoarthritis, shoulder disease, and ankle fracture. These diagnoses and their diagnostic codes are listed in Table 2.
Table 2

Frequent AOS diagnoses and their diagnostic codes

jkms-36-e289-i002
Diagnosis ICD-10 codea
Knee osteoarthritis M17.0, M17.1, primary gonarthrosis
M17.2–M17.5, secondary gonarthrosis
M17.9, gonarthrosis, unspecified
Shoulder disease M75.0, adhesive capsulitis of shoulder
M75.1, rotator cuff syndrome
M75.2, bicipital tendinitis
M75.3, calcific tendinitis of shoulder
M75.4, impingement syndrome of shoulder
M75.5, bursitis of shoulder
M75.6, tear of labrum of degenerative shoulder joint
M75.8, other shoulder lesions
M75.9, shoulder lesion, unspecified
Ankle fracture S82.3, fracture of lower end of tibia
S82.5, fracture of medial malleolus
S82.6, fracture of lateral malleolus
S82.8, fractures of other parts of lower leg
AOS = adult orthopaedic surgery, ICD-10 = International Statistical Classification of Diseases and Related Health Problems, 10th revision.
aThe first letter indicates the topic: “M” means diseases of the musculoskeletal system and connective tissue; and “S” means injury, poisoning, and certain other consequences of external causes.

Nationwide sample data (the Korean National Health Insurance Sharing Service [NHISS] data)

The Korean National Health Insurance Program covers virtually the entire Korean population (97% of the population has health insurance, and the remaining 3% are covered by medical aid). This database has been used for many epidemiological studies. NHISS has been randomly releasing national sample cohort data since 2002.17 These data are stratified according to age, gender, region, and other variables annually.18 The data consist of claims records of approximately 1 million patients each year.19 In the Republic of Korea, every hospital is required by law to register with the Korean Hospital Association. These hospitals are incorporated into the system based on hospital capacity. The incorporation criteria based on capacity are as follows. A clinic is defined as a medical institution with the capacity to care for fewer than 30 in-patients. A hospital is defined as a medical institution with the capacity to care for more than 30 in-patients. A general hospital is defined as a medical institution with the capacity to care for more than 100 in-patients including specialties such as internal medicine, general surgery, pediatrics, obstetrics and gynecology, radiology, anesthesiology, pathology, psychiatry, and dentistry. Among the general hospitals, a teaching hospital focusing on difficult or rare diseases with more specialized medical departments is designated as a tertiary hospital.20 For analysis, the clinic, hospital, and general hospital were grouped as ‘non-tertiary hospitals’ and compared with a tertiary hospital.

Patient selection and investigated variables

Using nationwide sample data for a 10-year period (January 2008–December 2017), we retrospectively examined patients admitted to the hospital under the previously determined frequent POS and AOS diagnoses as the major diagnostic codes. We investigated the diagnostic code, age group, referral level of the hospital, and year of admission of the included patients.

Statistical analysis

For frequent POS and AOS diagnoses, the admission rates in tertiary and non-tertiary hospitals were classified based on two groups: patients aged < 15 years and ≥ 15 years. Statistical analyses were performed using the SPSS software (version 21; IBM Co., Armonk, NY, USA). To compare the proportion of each variable, the χ2 test or Fisher's exact test was used. A significant difference was considered at P < 0.05.

RESULTS

The admission rates for frequent POS diagnoses in tertiary and non-tertiary hospitals are shown in Table 3. For frequent POS diagnoses, except for distal humerus fracture, the admission rates in tertiary hospitals for patients aged < 15 years were as high as 62.5–92.3% (bold in Table 3, Fig. 1). For distal humerus fractures though the admission rate to tertiary hospitals for patients aged < 15 years was higher than that for those aged ≥ 15 years, it was approximately 25%. Additional analysis was performed to examine the trend of changes in tertiary hospital admission rates for distal humerus fracture between 2008 and 2010, 2011 and 2014, and 2015 and 2017 (Fig. 2). The hospital admission rates for pediatric patients with distal humerus fractures increased over time. However, those for adult patients with such fractures remained approximately constant.
Table 3

Admission rates for tertiary vs. non-tertiary hospitals for POS and AOS diagnoses

jkms-36-e289-i003
Diagnosis/level of hospital Total Age < 15 yr Age ≥ 15 yr P valuee
POS diagnoses
LCPD (n = 55) 0.003
Tertiary 44 (80.0) 37 (90.2) 7 (50.0)
Non-tertiary 11 (20.0) 4 (9.8) 7 (50.0)
Limb angular deformity (n = 439) < 0.001
Tertiary 61 (13.9) 30 (88.2) 31 (7.7)
Non-tertiary 378 (86.1) 4 (11.8) 374 (92.3)
SCFE (n = 17) 0.412
Tertiary 10 (58.8) 10 (62.5) 0
Non-tertiary 7 (41.2) 6 (37.5) 1 (100)
DDH (n = 32) 0.034
Tertiary 27 (84.4) 24 (92.3) 3 (50.0)
Non-tertiary 5 (15.6) 2 (7.7) 3 (50.0)
Congenital foot deformitya (n = 67) 0.025
Tertiary 40 (59.7) 30 (69.8) 10 (41.7)
Non-tertiary 27 (40.3) 13 (30.2) 14 (58.3)
Poly/syndactyly (n = 119) < 0.001
Tertiary 74 (62.2) 64 (71.9) 10 (33.3)
Non-tertiary 45 (37.8) 25 (28.1) 20 (66.7)
Distal humerus fractureb (n = 1,161) < 0.001
Tertiary 246 (21.2) 183 (25.4) 63 (14.3)
Non-tertiary 915 (78.8) 537 (74.6) 378 (85.7)
AOS diagnoses
Knee osteoarthritis (n = 15,287) NA
Tertiary 1,166 (7.6) 0 1,166 (7.6)
Non-tertiary 14,121 (92.4) 0 14,121 (92.4)
Shoulder diseasec (n = 12,269) 1.000
Tertiary 824 (6.7) 0 824 (6.7)
Non-tertiary 11,445 (93.3) 2 (100) 11,443 (93.3)
Ankle fractured (n = 7,426) 0.003
Tertiary 508 (6.8) 39 (10.6) 469 (6.6)
Non-tertiary 6,918 (93.2) 328 (89.4) 6,590 (93.4)
Data are mainly presented as number (%).
The values in bold indicate high admission rates (> 60%) in tertiary hospitals.
POS = pediatric orthopaedic surgery, AOS = adult orthopaedic surgery, LCPD = Legg-Calve-Perthes disease, SCFE = slipped capital femoral epiphysis, DDH = developmental dysplasia of the hip, NA = not applicable.
aIncludes clubfoot, curly toe, congenital vertical talus, brachymetatarsia, claw toe, skewfoot, and delta phalanx; bIncludes supracondylar humeral fracture, lateral condylar fracture, and medial epicondylar fracture; cIncludes adhesive capsulitis, rotator cuff syndrome, bicipital tendinitis, calcific tendinitis, impingement syndrome, bursitis, and labral tear; dIncludes distal tibial fracture and medial and lateral malleolar fractures; e P value: chi-square test or Fisher's exact test between patients aged < 15 years and ≥ 15 years.
Fig. 1

Admission rates to tertiary hospitals considering the frequent POS and AOS diseases according to patients' age. For patients aged < 15 years with POS diseases, admission rates for all diagnoses to tertiary hospitals are > 60% (62.5–92.3%), except for distal humerus fracture. This 60% is usually set as the cutoff value for the severe disease group.

POS = pediatric orthopaedic surgery, AOS = adult orthopaedic surgery, LCPD = Legg-Calve-Perthes disease, SCFE = slipped capital femoral epiphysis, DDH = developmental dysplasia of the hip.
jkms-36-e289-g001
Fig. 2

Changes in admission rates to tertiary hospitals for distal humerus fractures over a 10-year period. Trends are given for the periods from 2008 to 2010, 2011 to 2014, and 2015 to 2017. The admission rates in the tertiary hospital for patients aged < 15 years increased over time (line), whereas those for patients aged ≥ 15 years with fractures remained approximately the same (dotted line).

jkms-36-e289-g002
For frequent AOS diagnoses, knee osteoarthritis and shoulder disease were very rare among pediatric patients. The overall rate of admission to tertiary hospitals for frequent AOS diagnoses ranged from 6.7% to 7.6% (Table 3).

DISCUSSION

This study investigated the admission rates for representative POS diseases using national sampling data. Seven frequent POS diagnoses were chosen as representatives. An additional three frequent AOS diagnoses were selected for comparison. Most frequent POS diagnoses involved high rates of admission to tertiary hospitals among patients aged < 15 years. Conversely, for patients aged ≥ 15 years with frequent AOS diagnoses, the tertiary hospital admission rates were lower than 10%. In summary, frequent POS diagnoses were associated with a higher tertiary hospital admission rate than frequent AOS diagnoses (general orthopaedic diagnoses).
One of the important determinants in this study was the selection of representative POS diseases. This process was based on a report by the Korean Pediatric Orthopaedic Society, which examined pediatric orthopaedic patients admitted to four tertiary hospitals in Korea between 2018 and 2019 (not published). This report sought to identify the frequent POS diagnoses that were associated with a high probability of surgical intervention. The authors reviewed these diagnoses to identify those that were pediatric orthopaedic-specific, occurred frequently, and required surgical intervention. We also used published literature.71112 Moreover, it was also important to select representative general orthopaedic diseases that could be compared with frequent POS diagnoses. Therefore, the three most common general orthopaedic diagnoses, i.e., knee osteoarthritis (8th), shoulder disease (10th), and ankle fracture (25th), that are routinely managed in orthopaedic departments for adults were selected. These were deemed as AOS diagnoses using national data of all hospitalized patients in Korea between 2018 and 2019.16 Based on the previous literature, it was confirmed that these diagnoses could serve as representative general orthopaedic diseases.131415 These POS and AOS diagnoses were similar in that they were the most frequently observed diseases and were selected using data of Korean patients hospitalized between 2018 and 2019.
Tertiary hospital admission rates for frequent POS diagnoses, except for distal humerus fractures, were 62.5–92.3% among patients aged < 15 years. Among those diagnoses, only some of distal humerus fractures are currently classified as the ‘severe disease’ if the fractures involve the articular surface or accompanying neurovascular compromise. All the other diagnoses are classified as the ‘non-severe disease’. Considering that tertiary hospital admission rates for the severe disease group are usually 60–70%,521 these rates are quite high. This suggests that the severity of POS diseases is underestimated and that these diseases should be uniquely assessed using different criteria from those for general orthopaedic diseases.
The numbers of patients aged < 15 years with frequent AOS diagnoses were very small. In particular, the M code, which indicates musculoskeletal system or connective tissue disease, was extremely rare among pediatric patients (0 out of 15,287 cases of knee osteoarthritis and 2 out of 12,269 cases of shoulder disease). In addition, less than 5% of ankle fracture cases were observed among pediatric patients (367/7,426, 4.9%). Owing to this small proportion of children, most orthopaedic diseases are not distinguished between children and adults for administrative convenience. However, as there are obvious differences in the admission rates to tertiary hospitals, the ‘age’ factor is necessary to uniquely assess POS diseases on a different basis from adult orthopaedic diseases.
Most POS diseases are diverse, relatively rare, and occasionally accompanied by congenital diseases. These conditions may require consultations from other departments.672223 Moreover, it is occasionally difficult to differentiate between the normal physiologic changes and pathologic presentations in children. This is because their musculoskeletal characteristics change continuously.2425 In addition, the growth in children is associated with the possibility of limb length discrepancy or angular deformity during follow-up.26 Thus, more specialized knowledge and judgment from practitioners are required in dealing with POS diseases. Further, the aforementioned characteristics of POS diseases are consistent with those of the ‘disease group requiring specialized management.’ These are defined as rare diseases, those with high complication and mortality rates, those that are difficult to diagnosis, or those that require research. Currently, it is recommended that surgical treatment for POS diseases is carried out at a tertiary hospital with professional medical personnel in attendance to prepare for potential risks during surgery.27 In addition, the total pediatric orthopaedic cases in very large hospitals that primarily deal with severe diseases is increasing worldwide.28 This trend also suggests that POS diseases require treatment at tertiary hospitals.
The distal humerus fracture, one of the most common fractures in children, was the only POS diagnosis that had an S code (a diagnostic code for traumatic diseases). In the present results, the tertiary hospital admission rate for distal humerus fractures in patients aged < 15 years was 25.4%. This was significantly lower than those for other POS diagnoses. Therefore, we also analyzed the change in the trend of tertiary hospital admission rates for distal humerus fractures. The tertiary hospital admission rates for patients aged < 15 years have continued to increase over the past 10 years. That is, though the admission rate for traumatic POS diseases in patients aged < 15 years was relatively low, it has been increasing continuously.
The authors also suggested possible explanations for the low admission rate of pediatric distal humerus fractures. The data used in this study are diagnostic codes for admission only, not for surgery. The data cannot distinguish whether a patient was admitted to a hospital for surgery or for conservative management. Usually in the orthopaedic field, hospitalization for conservative management is much more common in non-tertiary hospitals than in tertiary hospitals. Therefore, the authors believe that the admission rate in tertiary hospitals will be higher when using exclusive data for surgical admissions. This would be also evident for traumatic cases such as distal humerus fractures. Another explanation could be that the current diagnostic code does not indicate whether the articular surface or growth plate is involved. If there was a distinctive indication for articular or physeal involvement, the admission rates in tertiary hospitals for these injuries may have been higher owing to their diagnostic difficulty2930 and poor prognosis.3031 Further research with more detailed information are surely needed.
Frequent POS diagnoses resulted in a high admission rate at tertiary hospitals. Nevertheless, there are no classification criteria according to patient age.8 Most POS diseases are not included in the severe disease group,49 all the frequent POS diagnoses are currently classified into the ‘non-severe disease’ except the distal humerus fractures specifically involving the joint or neurovascular structure. In the current Korean medical reimbursement system, tertiary hospitals are penalized if the number of admitted cases of POS diseases are high. This is because most of these cases are classified as non-severe diseases. This fact forces tertiary hospital administrators to decrease the proportion of POS patients for the benefit of the hospital's financial survival. Eventually, this may negatively affect patients who require high-level professional treatment. Ultimately, this may result in great social loss.32
There are some limitations to this study. First, NHISS nationwide samples are randomized data obtained from 1 million people per year. It is a large-scale survey and is representative of the population. However, it includes only a segment of the entire population. This leads to the possibility of sampling errors. The second consideration involves the method for selecting the representative diseases of POS and AOS. We assessed frequent admissions for pediatric and orthopaedic diagnoses between 2018 and 2019. Three pediatric orthopaedic surgeons selected the representative diseases after reviewing the literature. However, this involves the subjective judgment of the authors. Therefore, attention should be paid to selection bias when interpreting the results. Finally, this study was conducted only based on data from Republic of Korea. Thus, it may not be generalized to patients in countries with different socioeconomic medical conditions.
Conclusively, for patients aged < 15 years, most POS diagnoses had higher tertiary hospital admission rates (> 60%). Though pediatric orthopaedic fracture is associated with a high non-tertiary hospital admission rate, tertiary hospital admission rates of children with this fracture are steadily increasing. Considering that the tertiary hospital admission rate is the most important factor in the classification of disease severity, POS diseases seem to be underestimated in terms of severity. Unfortunately, this may lead to a tendency toward an intentional reduction in the treatment of patients with POS diseases at tertiary hospitals. Therefore, POS diseases should be classified using different criteria from those used to classify general AOS diseases.

Notes

Funding: This study was supported by a grant (2021IT0004) from the Asan Medical Center Children's Hospital, Seoul, Korea

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Park SS, Kang MS.

  • Data curation: Park J, Kang MS.

  • Formal analysis: Bae K, Park J, Kang MS.

  • Funding acquisition: Kang MS.

  • Investigation: Bae K, Park J, Kang MS.

  • Methodology: Bae K, Park SS, Kang MS.

  • Project administration: Kang MS.

  • Resources: Park SS, Kang MS.

  • Software: Bae K, Kang MS.

  • Supervision: Kang MS.

  • Validation: Kang MS.

  • Visualization: Bae K, Kang MS.

  • Writing - original draft: Bae K, Kang MS.

  • Writing - review & editing: Bae K, Park SS, Park J, Kang MS.

References

1. Keehan SP, Sisko AM, Truffer CJ, Poisal JA, Cuckler GA, Madison AJ, et al. National health spending projections through 2020: economic recovery and reform drive faster spending growth. Health Aff (Millwood). 2011; 30(8):1594–1605. PMID: 21798885.
crossref
2. Piña IL, Cohen PD, Larson DB, Marion LN, Sills MR, Solberg LI, et al. A framework for describing health care delivery organizations and systems. Am J Public Health. 2015; 105(4):670–679. PMID: 24922130.
crossref
3. Kim AM, Cho S, Kim HJ, Jung H, Jo MW, Lee JY, et al. Primary care patients' preference for hospitals over clinics in Korea. Int J Environ Res Public Health. 2018; 15(6):15.
crossref
4. Kim S, Jung C, Yon J, Park H, Yang H, Kang H, et al. A review of the complexity adjustment in the Korean Diagnosis-Related Group (KDRG). Health Inf Manag. 2020; 49(1):62–68. PMID: 30157672.
crossref
5. Ko JA, Cho DY, Cho SA, Han SJ, Lee DH, Heo YJ. Empirical analysis of patient concentration in tertiary hospitals. Public Health Aff. 2019; 3(1):61–70.
crossref
6. Carli D, Garagnani L, Lando M, Fairplay T, Bernasconi S, Landi A, et al. VACTERL (vertebral defects, anal atresia, tracheoesophageal fistula with esophageal atresia, cardiac defects, renal and limb anomalies) association: disease spectrum in 25 patients ascertained for their upper limb involvement. J Pediatr. 2014; 164(3):458–462.e1-2. PMID: 24210691.
7. Dobbe AM, Gibbons PJ. Common paediatric conditions of the lower limb. J Paediatr Child Health. 2017; 53(11):1077–1085. PMID: 29148202.
crossref
8. Lee IS. Investigation and proposals of Korean diagnosis related group and patient classification system. Korean J Med. 2018; 93(3):231–236.
crossref
9. Korean Ministry of Health and Welfare. Statutes of designation and evaluation the tertiary hospital. Updated 2016. Accessed June 25, 2021. http://opendata.hira.or.kr/op/opc/olapHifrqSickInfo.do .
10. Averill RF, Mullin RL, Steinbeck BA, Goldfield NI, Grant TM. Development of the ICD-10 procedure coding system (ICD-10-PCS). Top Health Inf Manage. 2001; 21(3):54–88. PMID: 11234732.
11. Abzug JM, Herman MJ. Management of supracondylar humerus fractures in children: current concepts. J Am Acad Orthop Surg. 2012; 20(2):69–77. PMID: 22302444.
crossref
12. Leroux J, Abu Amara S, Lechevallier J. Legg-Calvé-Perthes disease. Orthop Traumatol Surg Res. 2018; 104(1S):S107–S112. PMID: 29155310.
crossref
13. Kim I, Kim HA, Seo YI, Song YW, Jeong JY, Kim DH. The prevalence of knee osteoarthritis in elderly community residents in Korea. J Korean Med Sci. 2010; 25(2):293–298. PMID: 20119586.
crossref
14. Lee S, Kim SJ. Prevalence of knee osteoarthritis, risk factors, and quality of life: the Fifth Korean National Health and Nutrition Examination Survey. Int J Rheum Dis. 2017; 20(7):809–817. PMID: 26578271.
crossref
15. Oh JH, Chung SW, Oh CH, Kim SH, Park SJ, Kim KW, et al. The prevalence of shoulder osteoarthritis in the elderly Korean population: association with risk factors and function. J Shoulder Elbow Surg. 2011; 20(5):756–763. PMID: 21530320.
crossref
16. Health Insurance Review and Assessment Service. Open national data of admission statistics. Updated 2020. Accessed June 25, 2021. http://opendata.hira.or.kr/op/opc/olapHifrqSickInfo.do .
17. Korean National Health Insurance Service. National sample cohort data for patients record. Updated 2018. Accessed June 25, 2021. https://nhiss.nhis.or.kr/bd/ay/bdaya001iv.do .
18. Ahn E. Introducing big data analysis using data from National Health Insurance Service. Korean J Anesthesiol. 2020; 73(3):205–211. PMID: 32506896.
crossref
19. Kang MS, Kim HS. Characteristics and trends of traumatic injuries in children visiting emergency departments in South Korea: a retrospective serial cross-sectional study using both nationwide-sample and single-institutional data. PLoS One. 2019; 14(8):e0220798. PMID: 31398222.
crossref
20. Kim S, Kwon S. Has the National Health Insurance improved the inequality in the use of tertiary-care hospitals in Korea? Health Policy. 2014; 118(3):377–385. PMID: 25459734.
crossref
21. Health Insurance Review and Assessment Service. Improvement for evaluating disease group classification about the composition ratio of severe diseases in tertiary hospital. Updated 2019. Accessed June 25, 2021. http://repository.hira.or.kr/handle/2019.oak/1080 .
22. Gutman IM, Niemeier TE, Gilbert SR. National databases in pediatric orthopaedic surgery: a comparison of demographics, procedures, and outcomes. J Pediatr Orthop. 2019; 39(8):e636–e640. PMID: 31393308.
crossref
23. Peddada KV, Sullivan BT, Margalit A, Sponseller PD. Fracture patterns differ between osteogenesis imperfecta and routine pediatric fractures. J Pediatr Orthop. 2018; 38(4):e207–e212. PMID: 29356793.
crossref
24. McClure PK, Herzenberg JE. The natural history of lower extremity malalignment. J Pediatr Orthop. 2019; 39(6):Suppl 1. S14–S19. PMID: 31169641.
crossref
25. Mosca VS. Flexible flatfoot in children and adolescents. J Child Orthop. 2010; 4(2):107–121. PMID: 21455468.
crossref
26. Bright RW, Burstein AH, Elmore SM. Epiphyseal-plate cartilage. A biomechanical and histological analysis of failure modes. J Bone Joint Surg Am. 1974; 56(4):688–703. PMID: 4835816.
27. Polaner DM, Houck CS, Anderson C, Bannister C, Hardy C, Honkanen A, et al. Critical elements for the pediatric perioperative anesthesia environment. Pediatrics. 2015; 136(6):1200–1205. PMID: 26620064.
crossref
28. Salazar JH, Goldstein SD, Yang J, Gause C, Swarup A, Hsiung GE, et al. Regionalization of pediatric surgery: trends already underway. Ann Surg. 2016; 263(6):1062–1066. PMID: 26855367.
29. Jones S, Phillips N, Ali F, Fernandes JA, Flowers MJ, Smith TW. Triplane fractures of the distal tibia requiring open reduction and internal fixation. Pre-operative planning using computed tomography. Injury. 2003; 34(4):293–298. PMID: 12667783.
30. Lalonde KA, Letts M. Traumatic growth arrest of the distal tibia: a clinical and radiographic review. Can J Surg. 2005; 48(2):143–147. PMID: 15887795.
31. Houshian S, Holst AK, Larsen MS, Torfing T. Remodeling of Salter-Harris type II epiphyseal plate injury of the distal radius. J Pediatr Orthop. 2004; 24(5):472–476. PMID: 15308894.
crossref
32. Kocher MS. Value of pediatric orthopaedic surgery. J Pediatr Orthop. 2015; 35(5):Suppl 1. S9–13. PMID: 26049310.
crossref
TOOLS
Similar articles