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Hosung Shin 3 Articles
Socioeconomic Costs of Food-Borne Disease Using the Cost-of-Illness Model: Applying the QALY Method.
Hosung Shin, Suehyung Lee, Jong Soo Kim, Jinsuk Kim, Kyu Hong Han
J Prev Med Public Health. 2010;43(4):352-361.
DOI: https://doi.org/10.3961/jpmph.2010.43.4.352
  • 5,367 View
  • 123 Download
  • 20 Crossref
AbstractAbstract PDF
OBJECTIVES
This study estimated the annual socioeconomic costs of food-borne disease in 2008 from a societal perspective and using a cost-of-illness method. METHODS: Our model employed a comprehensive set of diagnostic disease codes to define food-borne diseases with using the Korea National Health Insurance (KNHI) reimbursement data. This study classified the food borne illness as three types of symptoms according to the severity of the illness: mild, moderate, severe. In addition to the traditional method of assessing the cost-of-illness, the study included measures to account for the lost quality of life. We estimated the cost of the lost quality of life using quality-adjusted life years and a visual analog scale. The direct cost included medical and medication costs, and the non-medical costs included transportation costs, caregiver's cost and administration costs. The lost productivity costs included lost workdays due to illness and lost earnings due to premature death. RESULTS: The study found the estimated annual socioeconomic costs of food-borne disease in 2008 were 954.9 billion won (735.3 billion won-996.9 billion won). The medical cost was 73.4 - 76.8% of the cost, the lost productivity cost was 22.6% and the cost of the lost quality of life was 26.0%. CONCLUSIONS: Most of the cost-of-illness studies are known to have underestimated the actual socioeconomic costs of the subjects, and these studies excluded many important social costs, such as the value of pain, suffering and functional disability. The study addressed the uncertainty related to estimating the socioeconomic costs of food-borne disease as well as the updated cost estimates. Our estimates could contribute to develop and evaluate policies for food-borne disease.
Summary

Citations

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    Yewon Lee, Hyemin Oh, Yeongeun Seo, Joohyun Kang, Eunyoung Park, Yohan Yoon
    Microbial Risk Analysis.2022; 21: 100219.     CrossRef
  • Risk assessment for norovirus foodborne illness by raw oyster (Ostreidae) consumption and economic burden in Korea
    Yoonjeong Yoo, Hyemin Oh, Yewon Lee, Miseon Sung, Jeongeun Hwang, Ziwei Zhao, Sunho Park, Changsun Choi, Yohan Yoon
    Fisheries and Aquatic Sciences.2022; 25(5): 287.     CrossRef
  • Does information on food safety affect consumers' acceptance of new food technologies? The case of irradiated beef in South Korea under a new labelling system and across different information regimes
    Vincenzina Caputo
    Australian Journal of Agricultural and Resource Economics.2020; 64(4): 1003.     CrossRef
  • Campylobacter control measures in indoor broiler chicken: critical re-assessment of cost-utility and putative barriers to implementation
    J. G. Pitter, Z. Vokó, Á Józwiak, A. Berkics
    Epidemiology and Infection.2018; 146(11): 1433.     CrossRef
  • The monetary value of human lives lost due to neglected tropical diseases in Africa
    Joses Muthuri Kirigia, Gitonga N. Mburugu
    Infectious Diseases of Poverty.2017;[Epub]     CrossRef
  • Identification of environmental determinants for spatio-temporal patterns of norovirus outbreaks in Korea using a geographic information system and binary response models
    Jin Hwi Kim, Dong Hoon Lee, Yongsung Joo, Kyung Duk Zoh, Gwangpyo Ko, Joo-Hyon Kang
    Science of The Total Environment.2016; 569-570: 291.     CrossRef
  • Expert opinions on improvement of current food code related to hygiene management standards for cooked foods in restaurants
    Seyoung Ju, Hyoseon Kawk, Wansoo Hong, Tongkyung Kwak, Hyeja Chang
    Journal of Nutrition and Health.2016; 49(3): 201.     CrossRef
  • Importance and Performance Analysis of Sanitation Management in Workers at Small and Medium Foodservice Industries Using HACCP Prerequisites
    Hyun-Jun Lee, Wan-Soo Hong
    Journal of the Korean Society of Food Science and Nutrition.2016; 45(10): 1497.     CrossRef
  • Emulsion PCR Improves the Specificity and Sensitivity of PCR-based Pathogen Detection
    Changhoon Chai
    Journal of Milk Science and Biotechnology.2016; 34(1): 43.     CrossRef
  • Cost-of-illness and disease burden of food-related pathogens in the Netherlands, 2011
    Marie-Josée J. Mangen, Martijn Bouwknegt, Ingrid H.M. Friesema, Juanita A. Haagsma, Laetitia M. Kortbeek, Luqman Tariq, Margaret Wilson, Wilfrid van Pelt, Arie H. Havelaar
    International Journal of Food Microbiology.2015; 196: 84.     CrossRef
  • Analysis of Foodborne Pathogens in Food and Environmental Samples from Foodservice Establishments at Schools in Gyeonggi Province
    Tae Young Oh, Seung-Youb Baek, Minseon Koo, Jong-Kyung Lee, Seung Min Kim, Kyung-Min Park, Daekeun Hwang, Hyun Jung Kim
    Journal of the Korean Society of Food Science and Nutrition.2015; 44(12): 1895.     CrossRef
  • Isothermal Target and Probe Amplification Assay for the Real-Time Rapid Detection of Staphylococcus aureus
    Hyewon Shin, Minhwan Kim, Eunju Yoon, Gyoungwon Kang, Seungyu Kim, Aelee Song, Jeongsoon Kim
    Journal of Food Protection.2015; 78(4): 723.     CrossRef
  • Next steps to evidence-based food safety risk analysis: opportunities for health technology assessment methodology implementation
    János G. Pitter, Ákos Jóźwiak, Éva Martos, Zoltán Kaló, Zoltán Vokó
    Studies in Agricultural Economics.2015; 117(3): 155.     CrossRef
  • Disease-Outcome Trees, EQ-5D Scores, and Estimated Annual Losses of Quality-Adjusted Life Years (QALYs) for 14 Foodborne Pathogens in the United States
    Michael Batz, Sandra Hoffmann, J. Glenn Morris
    Foodborne Pathogens and Disease.2014; 11(5): 395.     CrossRef
  • The economic burden of the 2009 pandemic H1N1 influenza in Korea
    Yang-Woo Kim, Seok-Jun Yoon, In-Hwan Oh
    Scandinavian Journal of Infectious Diseases.2013; 45(5): 390.     CrossRef
  • Antimicrobial Effect of Various Chopping Boards against Food-borne Bacteria
    Ji-Young Kim, Hyoung-Jae Lee, Jeong-Yong Cho, Hyun-Cheol Lim, Gyeong-Cheol Choi, Du-Woon Kim, Keun-Hyung Park, Jae-Hak Moon
    Korean Journal of Food Science and Technology.2012; 44(1): 114.     CrossRef
  • Effects of Dietary Supplementation of a New Probiotic CS61 Culture on Performance in Broiler Chickens
    Sung-Hwan Kim, In-Chul Lee, Hyung-Seon Baek, Seong-Soo Kang, Hyoung-Chin Kim, Jin-Cheol Yoo, Jong-Choon Kim
    Journal of Life Science.2012; 22(3): 340.     CrossRef
  • Annual Cost of Illness and Quality-Adjusted Life Year Losses in the United States Due to 14 Foodborne Pathogens
    Sandra Hoffmann, Michael B. Batz, J. Glenn Morris
    Journal of Food Protection.2012; 75(7): 1292.     CrossRef
  • Epidemiological Investigation for Outbreak of Food Poisoning Caused byBacillus cereusAmong the Workers at a Local Company in 2010
    Kum-Bal Choi, Hyun-Sul Lim, Kwan Lee, Gyoung-Yim Ha, Kwang-Hyun Jung, Chang-Kyu Sohn
    Journal of Preventive Medicine and Public Health.2011; 44(2): 65.     CrossRef
Development of Composite Deprivation Index for Korea: The Correlation with Standardized Mortality Ratio.
Hosung Shin, Suehyung Lee, Jang Min Chu
J Prev Med Public Health. 2009;42(6):392-402.
DOI: https://doi.org/10.3961/jpmph.2009.42.6.392
  • 5,500 View
  • 122 Download
  • 34 Crossref
AbstractAbstract PDF
OBJECTIVES
The aims of this paper were to develop the composite deprivation index (CDI) for the sub-district (Eup-Myen-Dong) levels based on the theory of social exclusion and to explore the relationship between the CDI and the standardized mortality ratio (SMR). METHODS: The paper calculated the age adjusted SMR and we included five dimensions of social exclusion for CDI; unemployment, poverty, housing, labor and social network. The proxy variables of the five dimensions were the proportion of unemployed males, the percent of recipients receiving National Basic Livelihood Security Act benefits, the proportion of households under the minimum housing standard, the proportion of people with a low social class and the proportion of single-parent household. All the variables were standardized using geometric transformation and then we summed up them for a single index. The paper utilized the 2004-2006 National Death Registry data, the 2003-2006 national residents' registration data, the 2005 Population Census data and the 2005-2006 means-tested benefit recipients' data. RESULTS: The figures were 115.6, 105.8 and 105.1 for the CDI of metropolitan areas (big cities), middle size cities and rural areas, respectively. The distributional variation of the CDI was the highest in metropolitan areas (8.9 - 353.7) and the lowest was in the rural areas (26.8 - 209.7). The extent and relative differences of deprivation increased with urbanization. Compared to the Townsend and Carstairs index, the CDI better represented the characteristics of rural deprivation. The correlation with the SMR was statistically significant and the direction of the CDI effects on the SMR was in accordance with that of the previous studies. CONCLUSIONS: The study findings indicated mortality inequalities due to the difference in the CDI. Despite the attempt to improve deprivation measures, further research is warranted for the consensus development of a deprivation index.
Summary

Citations

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    Doo Woong Lee, Jieun Jang, Jaeyong Shin
    SSM - Population Health.2024; 25: 101580.     CrossRef
  • Area deprivation and premature cardiovascular mortality: a nationwide population-based study in South Korea
    Eunji Kim, Hokyou Lee, Donald Lloyd-Jones, Young Gyu Ko, Byoung Gwon Kim, Hyeon Chang Kim
    BMJ Public Health.2024; 2(1): e000877.     CrossRef
  • Associations Between Neighborhood Deprivation and Smoking Behaviors Among Lifetime Adult Smokers in the Republic of Korea: A Multilevel Analysis
    Junghee Kim, Sunhee Park
    International Journal of Mental Health and Addiction.2023;[Epub]     CrossRef
  • The association between greenness exposure and COVID-19 incidence in South Korea: An ecological study
    Kyung-Shin Lee, Hye Sook Min, Jae-Hyun Jeon, Yoon-Jung Choi, Ji Hwan Bang, Ho Kyung Sung
    Science of The Total Environment.2022; 832: 154981.     CrossRef
  • The cost- effectiveness of early dental visit in infants and toddlers focused on regional deprivation in South Korea: A retrospective cohort study
    Eunsuk Ahn, Sun-Mi Kim, Charu C. Garg
    PLOS ONE.2022; 17(6): e0269770.     CrossRef
  • Associations between surrounding residential greenness and intelligence quotient in 6-year-old children
    Kyung-Shin Lee, Bung-Nyun Kim, Jinwoo Cho, Yoon-Young Jang, Yoon-Jung Choi, Woo-Seok Lee, Changwoo Han, Hyun Joo Bae, Youn-Hee Lim, Johanna Inhyang Kim, Choong Ho Shin, Young Ah. Lee, Yun-Chul Hong
    Science of The Total Environment.2021; 759: 143561.     CrossRef
  • Do persons with low socioeconomic status have less access to greenspace? Application of accessibility index to urban parks in Seoul, South Korea
    Seulkee Heo, Amruta Nori-Sarma, Sera Kim, Jong-Tae Lee, Michelle L Bell
    Environmental Research Letters.2021; 16(8): 084027.     CrossRef
  • Spatial distribution of neighborhood-level housing prices and its association with all-cause mortality in Seoul, Korea (2013–2018): A spatial panel data analysis
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    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Access to antenatal healthcare and the prevalence of oral clefts: a spatial analysis
    Hosung Shin, Eunsuk Ahn, Eun Joo Choi
    European Journal of Oral Sciences.2020; 128(2): 145.     CrossRef
  • Comparison of three small-area mortality metrics according to urbanity in Korea: the standardized mortality ratio, comparative mortality figure, and life expectancy
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  • Subnational Burden of Disease According to the Sociodemographic Index in South Korea
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    International Journal of Environmental Research and Public Health.2020; 17(16): 5788.     CrossRef
  • Assessment of Relative Asthma Risk in Populations Living near Incineration Facilities in Seoul, Korea
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    International Journal of Environmental Research and Public Health.2020; 17(20): 7448.     CrossRef
  • Life Expectancy in Areas around Subway Stations in the Seoul Metropolitan Area in Korea, 2008–2017
    Ikhan Kim, Hee-Yeon Kang, Young-Ho Khang
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
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    Dun-Sol Go, Young-Eun Kim, Seok-Jun Yoon, Kennedy Otwombe
    PLOS ONE.2020; 15(10): e0240304.     CrossRef
  • Regional Differences in Years of Life Lost in Korea from 1997 to 2015
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    Journal of Korean Medical Science.2019;[Epub]     CrossRef
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    Bum‐Sup Jang, Ji Hyun Chang
    Cancer Medicine.2019; 8(7): 3604.     CrossRef
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    Chi-Young Lee, Yong-Hwan Lee
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    Seung Eun Lee, Miyeon Yeon, Chul-Woung Kim, Tae-Ho Yoon, Dongjin Kim, Jihee Choi
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  • Does the regional deprivation impact the spatial accessibility to dental care services?
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    Dun-Sol Go, Young-Eun Kim, Munkhzul Radnaabaatar, Yunsun Jung, Jaehun Jung, Seok-Jun Yoon
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
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    Ikhan Kim, Jinwook Bahk, Tae-Ho Yoon, Sung-Cheol Yun, Young-Ho Khang
    Journal of Preventive Medicine and Public Health.2017; 50(2): 100.     CrossRef
  • Effects of Periodontal Disease on Cardio-Cerebrovascular Disease: A Focus on Personal Income and Social Deprivation
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    Journal of Korean Medical Science.2013; 28(3): 348.     CrossRef
  • The Use of Housing Price As a Neighborhood Indicator for Socio-Economic Status and the Neighborhood Health Studies
    Chul Sohn
    Journal of Korea Spatial Information Society.2013; 21(6): 81.     CrossRef
  • A Comparison of Community Health Status by Region and an Investigation of related Factors using Community Health Indicators
    Eunok Park
    Journal of Korean Academy of Community Health Nursing.2012; 23(1): 31.     CrossRef
  • Deprivation and Mortality at the Town Level in Busan, Korea: An Ecological Study
    Min-Hyeok Choi, Kyu-Seok Cheong, Byung-Mann Cho, In-Kyung Hwang, Chang-Hun Kim, Myoung-Hee Kim, Seung-Sik Hwang, Jeong-Hun Lim, Tae-Ho Yoon
    Journal of Preventive Medicine and Public Health.2011; 44(6): 242.     CrossRef
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Health Inequality Measurement in Korea Using EuroQol-5 Dimension Valuation Weights.
Hosung Shin, Dongjin Kim
J Prev Med Public Health. 2008;41(3):165-172.
DOI: https://doi.org/10.3961/jpmph.2008.41.3.165
  • 4,781 View
  • 65 Download
  • 6 Crossref
AbstractAbstract PDF
OBJECTIVES
Despite various government initiatives, including the expansion of national health insurance coverage, health inequality has been a key health policy issue in South Korea during the past decade. This study describes and compares the extent of the total health inequality and the income-related health inequality over time among Korean adults. METHODS: This study employs the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys (KNHANESs). The self-assessed health (SAH) ordinal responses, measured on a five-point scale, rescaled to cardinal values to measure the health inequalities with using interval regression. The boundaries of each threshold for the interval regression analysis were obtained from the empirical distribution of the EuroQol-5 Dimension (EQ-5D) valuation weights estimated from the 2005 KNHANES. The final model predicting the individuals' health status included age, gender, educational attainment, occupation, income, and the regional prosperity index. The concentration index was used to measure and analyze the health inequality. RESULTS: The KNHANES data showed an unequal distribution of the total health inequality in favor of the higher income groups, and this is getting worse over time (0.0327 in 1998, 0.0393 in 2001 and 0.0924 in 2005). The income-related health inequality in 2005 was 0.0278, indicating that 30.1% of the total health inequality can be attributed to income. CONCLUSIONS: The findings indicate there are health inequalities across the sociodemographic and income groups despite the recent government's efforts. Further research is warranted to investigate what potential policy actions are necessary to decrease the health inequality in Korea.
Summary

Citations

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JPMPH : Journal of Preventive Medicine and Public Health