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Chae Eun Lee 4 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
  • 5,582 View
  • 95 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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Citations

Citations to this article as recorded by  
  • 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
  • 5,224 View
  • 47 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.
Summary

Citations

Citations to this article as recorded by  
  • 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
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
  • 5,852 View
  • 55 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.
Summary

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
A Study of Working Environments and Workers Exposed to Chromium.
Byung Chul Yu, Byung Chul Son, Jin Ho Jun, Yong Soo Han, Hye Sook Son, Chae Eun Lee, Woon Jeong
Korean J Prev Med. 1994;27(3):517-530.
  • 1,880 View
  • 18 Download
AbstractAbstract PDF
For the purpose of providing the basic data for health management of workers who are exposed to chromium and for improving the quality of working environment, the authors evaluated blood and urinary level of chromium, the occupational history, AST, ALT, Hb, Hct, nasal specular examination on 287 workers who have been dealed chromium compounds in 56 manufacturing industries of five types, that is, 38 metal plating services(plating), 4 manufacture of other fabricated metal products (fabricated metal product), 5 manufacturing of dyestuff(dyestuff), 6 dressing and dyeing of leather (leather), 3 others (manufacture of pottery and ceramic household wares, motor vehicles, electronic valves and tubes and other electronic components) and also measured the level of chromium in air from February to october 1993. The results were as follows; 1. The utilized type of chromium compounds was the hexavalent state in plating, fabricated metal product, dyestuff leather and the trivalent state in other, and atmospheric chromium concentration as geometric mean was 0.0138m3(0.001~0.068 mg/m3) in plating, 0.0115 mg/m3(0.006~0.015 mg/m3) in fabricated metal product, 0.068 mg/m3 (0.002~0.019 mg/m3)in dyestuff, 0.0083 mg/m3(0.002~0.028 mg/m3) in leather, 0.0039 mg/m3(0.003~0.005 mg/m3) in other by the type of industry and it exceeded TLV-TWA (0.05 mg/m3) in five(13.6%) of plating services. 2. The geometric mean of chromium in blood was 1.54 microgram/dl(0.10~3.62 microgram/dl) in planting, 0.94 microgram/dl(0.27~2.82 microgram/dl) in fabricated metal product, 0.51 microgram/dl(0.10~3.25 microgram/dl) in dyestuff, 0.87 microgram/dl(0.15~8.00 microgram/dl) in leather 0.55 microgram/dl(0.20~2.28 microgram/dl) in other by the type of industry(P<0.001). 3. The geometric mean of chromiurn in urine was 14.47 microgram/l(6.90~28.00 microgram/l) in planting, 4.63 microgram/l(0.24~43.00 microgram/l) in fabricated metal product, 5.93 microgram/l(1.00~33.00 microgram/l) in dyestuff. 11.09 microgram/l(0.80~48.00 microgram/l) in leather, 12.41 microgram/l(10.10~41.00 microgram/l) in other by the type of industry(P<0.001). 4 As the result of nasal specular examination, twenty four cases(8.4%) of nasal septal perforation among 287 total subjects was observed, and there were 17(9.7%) cases in plating, 4 cases(14.3%) in dressing and dyeing of leather. In the comparison of chromium concentration in blood and urine between the perforated group and nonperforated group the perforated group showed a significantly higher value as 1.883+/-3.055 microgram/dl and 0.793+/-0.815 microgram/dl(P<0.001). 21.31+/-34.610 microgram/L and 9.304+/-11.079 microgram/L(P<0.001). 5. The mean concentration of chromium in blood, urine and the mean level of AST, ALT, Hb and Hct in exposure group were higher than those of control group(P<0.001).
Summary

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