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Sang Jun Eun 7 Articles
Effect of Repeated Public Releases on Cesarean Section Rates.
Won Mo Jang, Sang Jun Eun, Chae Eun Lee, Yoon Kim
J Prev Med Public Health. 2011;44(1):2-8.
DOI: https://doi.org/10.3961/jpmph.2011.44.1.2
  • 5,287 View
  • 92 Download
  • 13 Crossref
AbstractAbstract PDF
OBJECTIVES
Public release of and feedback (here after public release) on institutional (clinics and hospitals) cesarean section rates has had the effect of reducing cesarean section rates. However, compared to the isolated intervention, there was scant evidence of the effect of repeated public releases (RPR) on cesarean section rates. The objectives of this study were to evaluate the effect of RPR for reducing cesarean section rates. METHODS: From January 2003 to July 2007, the nationwide monthly institutional cesarean section rates data (1 951 303 deliveries at 1194 institutions) were analyzed. We used autoregressive integrated moving average (ARIMA) time-series intervention models to assess the effect of the RPR on cesarean section rates and ordinal logistic regression model to determine the characteristics of the change in cesarean section rates. RESULTS: Among four RPR, we found that only the first one (August 29, 2005) decreased the cesarean section rate (by 0.81 percent) and continued to have an impact period through the last observation in May 2007. Baseline cesarean section rates (OR, 4.7; 95% CI, 3.1 to 7.1) and annual number of deliveries (OR, 2.8; 95% CI, 1.6 to 4.7) of institutions in the upper third of each category at before first intervention had a significant contribution to the decrease of cesarean section rates. CONCLUSIONS: We could not found the evidence that RPR has had the significant effect of reducing cesarean section rates. Institutions with upper baseline cesarean section rates and annual number of deliveries were more responsive to RPR.
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  • Changes in cesarean section rate before and after the end of the Korean Value Incentive Program
    YouHyun Park, Jae-hyun Kim, Kwang-soo Lee
    Medicine.2022; 101(33): e29952.     CrossRef
  • Mechanisms and impact of public reporting on physicians and hospitals’ performance: A systematic review (2000–2020)
    Khic-Houy Prang, Roxanne Maritz, Hana Sabanovic, David Dunt, Margaret Kelaher, Lamberto Manzoli
    PLOS ONE.2021; 16(2): e0247297.     CrossRef
  • Ordinal classification of the affectation level of 3D-images in Parkinson diseases
    Antonio M. Durán-Rosal, Julio Camacho-Cañamón, Pedro Antonio Gutiérrez, Maria Victoria Guiote Moreno, Ester Rodríguez-Cáceres, Juan Antonio Vallejo Casas, César Hervás-Martínez
    Scientific Reports.2021;[Epub]     CrossRef
  • Is a hospital quality policy based on a triad of accreditation, public reporting and inspection evidence-based? A narrative review
    Astrid Van Wilder, Luk Bruyneel, Dirk De Ridder, Deborah Seys, Jonas Brouwers, Fien Claessens, Bianca Cox, Kris Vanhaecht
    International Journal for Quality in Health Care.2021;[Epub]     CrossRef
  • Impact of public release of performance data on the behaviour of healthcare consumers and providers
    David Metcalfe, Arturo J Rios Diaz, Olubode A Olufajo, M. Sofia Massa, Nicole ABM Ketelaar, Signe A. Flottorp, Daniel C Perry
    Cochrane Database of Systematic Reviews.2018;[Epub]     CrossRef
  • Non-clinical interventions for reducing unnecessary caesarean section
    Innie Chen, Newton Opiyo, Emma Tavender, Sameh Mortazhejri, Tamara Rader, Jennifer Petkovic, Sharlini Yogasingam, Monica Taljaard, Sugandha Agarwal, Malinee Laopaiboon, Jason Wasiak, Suthit Khunpradit, Pisake Lumbiganon, Russell L Gruen, Ana Pilar Betran
    Cochrane Database of Systematic Reviews.2018;[Epub]     CrossRef
  • Impact of State Reporting Laws on Central Line–Associated Bloodstream Infection Rates in U.S. Adult Intensive Care Units
    Hangsheng Liu, Carolyn T. A. Herzig, Andrew W. Dick, E. Yoko Furuya, Elaine Larson, Julie Reagan, Monika Pogorzelska‐Maziarz, Patricia W. Stone
    Health Services Research.2017; 52(3): 1079.     CrossRef
  • Effects of Korean hand acupressure on opioid-related nausea and vomiting, and pain after caesarean delivery using spinal anaesthesia
    Na Young Ahn, Hye-Ja Park
    Complementary Therapies in Clinical Practice.2017; 28: 101.     CrossRef
  • Ordinal Regression Methods: Survey and Experimental Study
    Pedro Antonio Gutierrez, Maria Perez-Ortiz, Javier Sanchez-Monedero, Francisco Fernandez-Navarro, Cesar Hervas-Martinez
    IEEE Transactions on Knowledge and Data Engineering.2016; 28(1): 127.     CrossRef
  • Exploring the transparency mechanism and evaluating the effect of public reporting on prescription: a protocol for a cluster randomized controlled trial
    Xin Du, Dan Wang, Xuan Wang, Shiru Yang, Xinping Zhang
    BMC Public Health.2015;[Epub]     CrossRef
  • Application of propensity scores to explore the effect of public reporting of medicine use information on rational drug use in China: a quasi-experimental design
    Xiaopeng Zhang, Lijun Wang, Xinping Zhang
    BMC Health Services Research.2014;[Epub]     CrossRef
  • Changes in the Cesarean Section Rate in Korea (1982-2012) and a Review of the Associated Factors
    Sung-Hoon Chung, Hyun-Joo Seol, Yong-Sung Choi, Soo-young Oh, Ahm Kim, Chong-Woo Bae
    Journal of Korean Medical Science.2014; 29(10): 1341.     CrossRef
  • Managing the Primary Cesarean Delivery Rate
    DAVID WARE BRANCH, ROBERT M. SILVER
    Clinical Obstetrics & Gynecology.2012; 55(4): 946.     CrossRef
The Change in Readmission Rate, Length of Stay and Hospital Charge after Performance Reporting of Hip Hemiarthroplasty.
Won Mo Jang, Sang Jun Eun, Pilyoung Sagong, Chae Eun Lee, Moo Kyung Oh, Juhwan Oh, Yoon Kim
J Prev Med Public Health. 2010;43(6):523-534.
DOI: https://doi.org/10.3961/jpmph.2010.43.6.523
  • 4,990 View
  • 45 Download
  • 1 Crossref
AbstractAbstract PDF
OBJECTIVES
We assessed impact of performance reporting information about the readmission rate, length of stay and cost of hip hemiarthroplasty. METHODS: The data are from a nationwide claims database, National Quality Improvement Project database, of Health Insurance Review & Assessment Service in Korea. From January 2006 to April 2008, we received information of length of stay, readmission within 30 days, cost of 22 851 hip hemiarthroplasty episodes. Each episodes has retained the diagnoses of comorbidities and demographics. We used time-series analysis to assess the shifting of patients selections, between high volume(over 16 operations in a year) and low volume institutions, after performance reporting (december 2007). The changes of quality (readmission, length of stay) and cost were evaluated by multilevel analysis with adjustment of patient's factors and institutional factors after performance reporting. RESULTS: As compared with the before performance reporting, the proportion of patients who choose the high volume institution, increased 3.45% and the trends continued 4 months at marginal significance (p=0.059). After performance reporting, national average readmission rate, length of stay were decreased by 0.49 OR (95% CI=0.25-0.95) and 10% (beta=-0.102 p<0.01) and cost was not changed (beta=-0.01, p<0.27). The high volume institutions were more decreased than low volume in length of stay. CONCLUSIONS: After performance reporting, readmission rate, length of stay were decreased and the patient selections were marginal shifted from low volume institutions to high volume institutions.
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  • The factors influencing variation by local areas in antibiotics prescription rate according to the public reporting
    Yu-Jin Chun, Chang-Yup Kim
    Health Policy and Management.2012; 22(3): 427.     CrossRef
Patterns of Unintentional Domestic Injuries in Korea.
Eun Jung Lee, Jin Seok Lee, Yoon Kim, Kunhee Park, Sang Jun Eun, Soo Kyung Suh, Yong Ik Kim
J Prev Med Public Health. 2010;43(1):84-92.
DOI: https://doi.org/10.3961/jpmph.2010.43.1.84
  • 5,220 View
  • 57 Download
  • 6 Crossref
AbstractAbstract PDF
OBJECTIVES
To investigate the patterns of unintentional home injuries in Korea. METHODS: The study population was 12,382,088 people who utilized National Health Insurance services due to injuries (main diagnosis codes S00 to T28) during 2006. Stratified samples(n=459,501) were randomly selected by sex, age group and severity of injury. A questionnaire was developed based on the International Classification of External Causes of Injury and 18,000 cases surveyed by telephone were analyzed after being projected into population proportionately according to the response rates of their strata. Domestic injury cases were finally included. RESULTS: Domestic injuries (n=3,804) comprised 21.1% of total daily life injuries during 2006. Women were vulnerable to home injuries, with the elderly and those of lower income (medical-aid users) tending to suffer more severe injuries. Injury occurred most often due to a slipping fall (33.9%), overexertion (15.3%), falling (9.5%) and stumbling (9.4%), with severe injury most often resulting from slipping falls, falls and stumbles. Increasing age correlated with domestic injury-related disability. CONCLUSIONS: The present findings provide basic information for development of home injury prevention strategies, with focus on the elderly.
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Citations

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  • Associations between traumatic dental injuries due to violence and various drinking behaviors in Korea: A cross‐sectional study
    Ji‐Young Son, Jaehyung Lim, Dong‐Hun Han
    Dental Traumatology.2024;[Epub]     CrossRef
  • Relationships between trauma death, disability, and geographic factors: a systematic review
    Bona Hwang, Taewook Jeong, Jiyeon Jo
    Clinical and Experimental Emergency Medicine.2023; 10(4): 426.     CrossRef
  • The Relationship between Injury and Socioeconomic Status in Reference to the Fourth Korean National Health and Nutrition Examination Survey
    Sung-Kyung Kim, Hyocher Kim, Kyungsuk Lee, Hee-Tae Kang, Sung-Soo Oh, Sang Baek Ko
    Annals of Occupational and Environmental Medicine.2014;[Epub]     CrossRef
  • The Relationship between Waist Circumference and Work-related Injury in Reference to the Fourth Korea National Health and Nutrition Examination Survey
    Sung-Kyung Kim, Ji-Min Son, Jae-Young So, Hyocher Kim, Kyungsuk Lee, Sung-Soo Oh, Sang Ko
    Annals of Occupational and Environmental Medicine.2013; 25(1): 29.     CrossRef
  • Multilevel Analysis on Factors Influencing Death and Transfer in Inpatient with Severe Injury
    Young Eun Choi, Kang Suk Lee
    Health Policy and Management.2013; 23(3): 233.     CrossRef
  • Spring cleaning as a safety risk: results of a population-based study in two consecutive years
    Soheil Saadat, Mojgan Karbakhsh
    BMC Public Health.2011;[Epub]     CrossRef
The Incidence and Patterns of Unintentional Injuries in Daily Life in Korea: A Nationwide Study.
Kunhee Park, Sang Jun Eun, Eun Jung Lee, Chae Eun Lee, Doo Yong Park, Kyounghun Han, Yoon Kim, Jin Seok Lee
J Prev Med Public Health. 2008;41(4):265-271.
DOI: https://doi.org/10.3961/jpmph.2008.41.4.265
  • 5,604 View
  • 52 Download
  • 15 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was conducted to estimate the cumulative incidence rate (CIR) of unintentional injuries in Korean daily life and to describe the pattern of unintentional injuries. METHODS: The study population was the people who used the National Health Insurance because of injuries (ICD code: S00~T98) during 2006. The stratified sample according to gender, age and the severity of injury (NISS, New Injury Severity Score) was randomly selected. The questions on the questionnaire were developed as a reference for an international classification tool (ICECI, International Classification of External Causes of Injury). The questions included the locations of injury, the mechanisms of injury and the results of injury. Moreover, we used age, gender, region and income variables for analysis. RESULTS: The CIR of unintentional injuries that occurred in daily life for 1 year per 100,000 persons was 17,606, and the CIR of severe injuries was 286. Many injuries were occurred at home (29.6%), public places (19.0%), school (13.7%) and near home (12.0%). The major mechanisms of injuries were slipping (48.8%), contact (14.0%), physical over-exertion (13.8%), and fall (6.6%). Infants and old aged people were vulnerable to injuries, and those who lived rural area and who were in a low income level were vulnerable too. CONCLUSIONS: We signified the risk groups and risk settings of unintentional injuries in Korean daily life. These results could contribute to establishing strategies for injury prevention and implementing these strategies.
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Citations

Citations to this article as recorded by  
  • Analysis of the effect of a community based injury prevention program using synthetic control method
    Min Kyoung Kim, Nam Soo Park, So Hyeong Kim
    Korean Journal of Health Education and Promotion.2023; 40(1): 101.     CrossRef
  • Association between Falls and Nutritional Status of Community-Dwelling Elderly People in Korea
    Ah-Ra Jo, Mi-Jeong Park, Byung-Gue Lee, Young-Gyun Seo, Hong-Ji Song, Yu-Jin Paek, Kyung-Hee Park, Hye-Mi Noh
    Korean Journal of Family Medicine.2020; 41(2): 111.     CrossRef
  • A matrix analysis of carrying device-related injuries in preschool children
    Kun Zhang, Yoshifumi Nishida, Koji Kitamura, Yoshiki Mikami
    Safety Science.2019; 115: 199.     CrossRef
  • The Pyramid of Injury: Estimation of the Scale of Adolescent Injuries According to Severity
    Hyejin Han, Bomi Park, Bohyun Park, Namsoo Park, Ju Ok Park, Ki Ok Ahn, Yang Ju Tak, Hye Ah Lee, Hyesook Park
    Journal of Preventive Medicine and Public Health.2018; 51(3): 163.     CrossRef
  • Epidemiology and Regional Distribution of Pediatric Unintentional Emergency Injury in Korea from 2010 to 2011
    Jin Hee Jung, Do Kyun Kim, Hye Young Jang, Young Ho Kwak
    Journal of Korean Medical Science.2015; 30(11): 1625.     CrossRef
  • Estimating social and economic costs for outpatient injuries by using Korea medical panel data
    Eun-Mi Choi, In-Sook Yoo
    Journal of the Korea Industrial Information Systems Research.2015; 20(4): 55.     CrossRef
  • The study of Health Care Utilization and Direct Medical Cost in the Diabetes Mellitus Client
    In Sook Yoo
    The journal of the convergence on culture technology.2015; 1(4): 87.     CrossRef
  • Drinking Pattern and Nonfatal Injuries of Adults in Korea
    In-Sook Yoo, Eun-Mi Choi, Ho-Jang Kwon, Sang-Gyu Lee
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(4): 1690.     CrossRef
  • Trend of Mortality Rate and Injury Burden of Transport Accidents, Suicides, and Falls
    Ki Sook Kim, Soon Duck Kim, Sang Hee Lee
    Journal of Preventive Medicine and Public Health.2012; 45(1): 8.     CrossRef
  • Classifying External Causes of Injury: History, Current Approaches, and Future Directions
    K. McKenzie, L. Fingerhut, S. Walker, A. Harrison, J. E. Harrison
    Epidemiologic Reviews.2012; 34(1): 4.     CrossRef
  • Estimation of Nationwide Vaccination Coverage and Comparison of Interview and Telephone Survey Methodology for Estimating Vaccination Status
    Boyoung Park, Yeon-Kyeng Lee, Lisa Y. Cho, Un Yeong Go, Jae Jeong Yang, Seung Hyun Ma, Bo-Youl Choi, Moo-Sik Lee, Jin-Seok Lee, Eun Hwa Choi, Hoan Jong Lee, Sue K. Park
    Journal of Korean Medical Science.2011; 26(6): 711.     CrossRef
  • Trends in Cancer Screening Rates among Korean Men and Women: Results from the Korean National Cancer Screening Survey (KNCSS), 2004-2010
    Eun-Ha Lee, Hoo-Yeon Lee, Kui Son Choi, Jae Kwan Jun, Eun-Cheol Park, Jin Soo Lee
    Cancer Research and Treatment.2011; 43(3): 141.     CrossRef
  • A study on the variation of severity adjusted LOS on Injry inpatient in Korea
    Sung-Soo Kim, Won-Joong Kim, Sung-Hong Kang
    Journal of the Korea Academia-Industrial cooperation Society.2011; 12(6): 2668.     CrossRef
  • Patterns of Unintentional Domestic Injuries in Korea
    Eun-Jung Lee, Jin-Seok Lee, Yoon Kim, Kunhee Park, Sang Jun Eun, Soo Kyung Suh, Yong-Ik Kim
    Journal of Preventive Medicine and Public Health.2010; 43(1): 84.     CrossRef
  • Falls in a Proportional Region Population in Korean Elderly: Incidence, Consequences, and Risk Factors
    Jae-Young Lim, Won-Beom Park, Min-Kyun Oh, Eun Kyoung Kang, Nam-Jong Paik
    Journal of the Korean Geriatrics Society.2010; 14(1): 8.     CrossRef
Differences in Medical Care Utilization Rates of the Disabled and the Non-disabled with Ambulatory Care Sensitive Conditions.
Sang Jun Eun, Jee Young Hong, Jin Yong Lee, Jin Seok Lee, Yoon Kim, Yong Ik Kim, Youngsoo Shin
J Prev Med Public Health. 2006;39(5):411-418.
  • 2,318 View
  • 62 Download
AbstractAbstract PDF
OBJECTIVES
The purpose of this study was to determine whether the disabled have worse access to primary care than the non-disabled. METHODS: We used the National Disability Registry data and the National Health Insurance data for the calendar year 2003, and we analyzed 807,380 disabled persons who had been registered until December 2001 and we also analyzed 1,614,760 non-disabled persons for nine ambulatory care sensitive conditions (ACSCs). The rates of physician visits and hospitalizations for the patients with ACSCs were compared between the disabled and the nondisabled. Multiple logistic regression analysis was used to evaluate the association between medical care utilization and disability and to assess the association between hospitalization and the number of physician visits while controlling for potential confounders. RESULTS: The numbers of physician visits per 100 patients were 0.78~0.97 times lower for the disabled than that for the non-disabled with five of nine ACSCs. The numbers of hospitalizations per 100 patients were 1.16~1.77 times higher for the disabled than that for the non-disabled with all the ACSCs. While the ORs of a physician visit for the disabled were significantly lower than that for the non-disabled with all the ACSCs (OR: 0.44~0.70), and the ORs of hospitalization for the disabled were significantly higher (OR: 1.16~1.89). The lower physician visit group (number of physician visits < or =1) was more likely to be hospitalized than the higher physician visit group (number of physician visits > or =2) (OR: 1.69~19.77). The effect of the physician visit rate on hospitalization was larger than the effect of disability on hospitalization. CONCLUSIONS: The results suggest that the disabled were more likely to be hospitalized for ACSCs due to their lower access to primary care.
Summary
Estimating the Burden of Psychiatric Disorder in Korea.
Jae Hyun Park, Seok Jun Yoon, Hee Young Lee, Hee Sook Cho, Jin Yong Lee, Sang Jun Eun, Jong Hyock Park, Yoon Kim, Yong Ik Kim, Young Soo Shin
J Prev Med Public Health. 2006;39(1):39-45.
  • 2,828 View
  • 98 Download
AbstractAbstract PDF
OBJECTIVES
This study estimated the burden of disease especially caused by psychiatric disorders in Korea by using DALY, a composite indicator that was recently developed by the Global Burden of Disease study group. METHODS: First, 11 of the major psychiatric disorders in Korea were selected based on the ICD-10. Second, the burden of disease due to premature death was estimated by using YLLs (years of life lost due to premature death). Third, for the calculation of the YLD (years lived with disability), the following parameters were estimated in the formula: the incidence rate, the prevalence rate and the disability weight of each psychiatric disorder. Last, we estimated the DALY of the psychiatric disorders by adding the YLLs and YLDs. RESULTS: The burden of psychiatric disorder per 100,000 people was attributed mainly to unipolar major depression (1,278 person-years), schizophrenia (638 person-years) and alcohol use disorder (287 person-years). For males, schizophrenia (596 person-years) and alcohol use disorder (491 person-years) caused the highest burden. For females, unipolar major depression (1,749 person-years) and schizophrenia (680 person-years) cause the highest burden. As analyzed by gender and age group, alcohol use disorder causes a higher burden than schizophrenia in men aged 40 years and older. For females, unipolar major depression causes the highest burden in all age groups. CONCLUSIONS: We found that each of the psychiatric disorders that cause the highest burden is different according to gender and age group. This study's results can provide a rational basis to plan a national health policy regarding the burden of disease caused by psychiatric disorders.
Summary
Biosafety of Microbiological Laboratories in Korea.
Jin Yong Lee, Sang Jun Eun, Ki dong Park, Jong Kyun Kim, Jeong Soo Im, Yoo Sung Hwang, Yong Ik Kim
J Prev Med Public Health. 2005;38(4):449-456.
  • 2,782 View
  • 144 Download
AbstractAbstract PDF
OBJECTIVES
The biosafety level (BSL) practiced in microbiology laboratories in Korea according to the laboratory biosafety manual published by the World Health Organization (WHO) was evaluated using the data obtained by a survey. METHODS: Under the advise of Clinical Laboratory Physicians, 144 types of microorganisms were screened based on the guidelines of biosafety in microbiological and biomedical laboratories published by the US Center for Disease Control and Prevention and classified into 1-4 risk groups. A questionnaire containing 21 questions in 5 areas was developed using the biosafety manual by published WHO. Of the 1, 876 different organizations sent the survey, 563 responded to the survey (response rate: 30.0%). The species of microoganisms handled by as well as the biosafety level in microbiology laboratories were analyzed. RESULTS: There were 123 species of microorganisms handled in microbiology labs in Korea. The BSL required in 512 microbiology labs was answered by the survey responders as the first grade in 33 labs (6.4%), 2nd in 437 (85.4%), 3rd in 42 (8.2%), and 4th in none. The average number of items satisfied was 12.2, showing only a 57.9% satisfactory rate and normal distribution. CONCLUSIONS: The state of overall observance of BSL in most microbiology labs of Korea was evaluated as lagging compared with the standard set up by WHO. Therefore, the Korean government need to produce and distribute a biosafety manual in microbiology laboratories and make efforts to prevent this threat through measures such as training in biosafety in microbiology labs.
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JPMPH : Journal of Preventive Medicine and Public Health