• Journal of Preventive Medicine and Public Health
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• 제55권1호
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• pp.1-9
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• 2022

An index that evaluates the health level of a population group considering both death and loss of function due to disease is called a summary measure of population health (SMPH). SMPHs are broadly divided into life year indices and life expectancy indices, the latter of which comprise healthy life expectancy (HLE). HLE is included as a policy target in various national and regional level healthcare plans, and the term "HLE" is commonly used in academia and by the public. However, the overall level of understanding of HLE-such as the precise definition of HLE and methods of calculating HLE-still seems to be low. As discussed in this study, the types of HLE are classified into disability-free life expectancy, disease-free life expectancy, quality-adjusted life expectancy, self-rated HLE, and disability-adjusted life expectancy. Their characteristics are examined to facilitate a correct understanding and appropriate utilization of HLE. In addition, the Sullivan method, as a representative method for calculating HLE, is presented in detail, and major issues in the process of calculating HLE, such as selection of the population group and age group, estimation of death probability, calculation of life years, and incorporation of health weights, are reviewed. This study will help researchers to select an appropriate HLE type and evaluate the validity of HLE research results, and it is expected to contribute to the vitalization of HLE research.

• 보건행정학회지
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• 제26권4호
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• pp.352-358
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• 2016

Summary measures of population health (SMPHs) have been used to estimate the burden of diseases. Among various type of SMPHs, disability adjusted life year (DALY) and healthy life expectancy (HALE) have been calculated in the global and national burden of disease studies. In order to calculate DALY and HALE, disability weight is an essential element. Disability weights quantify the level of disability for health states or diseases and have values between 0 (full health) to 1 (being dead). In this study, we reviewed the main disability weights studies and determined their meaning and limitations. Furthermore, we provided the whole process of typical disability weight study and reviewed key issues as follows: health state or disease description development, panel composition, valuation method, validation of disability weight, cross-cultural variability in health state or disease, and so on. The results from this study will be helpful to conduct future disability weight studies for adapting disability weights and developing new methodologies.

• Journal of Preventive Medicine and Public Health
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• 제55권1호
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• pp.10-18
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• 2022

Disability-adjusted life-year (DALY) estimates may vary according to factors such as the standard life expectancy, age weighting, time preference and discount rate, calculation of disability weights, and selection of the estimation method. DALY estimation methods are divided into the following 3 approaches: the incidence-based approach, the pure prevalence-based approach, and the hybrid approach. These 3 DALY estimation approaches each reflect different perspectives on the burden of disease using unique characteristics, based on which the selection of a suitable approach may vary by the purpose of the study. The Global Burden of Disease studies, which previously estimated DALYs using the incidence-based approach, switched to using the hybrid approach in 2010, while the National Burden of Disease studies in Korea still mainly apply the incidence-based approach. In order to increase comparability with other international burden of disease studies, more DALY studies using the prevalence-based approach need to be conducted in Korea. However, with the limitations of the hybrid approach in mind, it is necessary to conduct more research using a disease classification system suitable for Korea. Furthermore, more detailed and valid data sources should be established before conducting studies using a broader variety of DALY estimation approaches. This review study will help researchers on burden of disease use an appropriate DALY estimation approach and will contribute to enhancing researchers' ability to critically interpret burden of disease studies.

• 한국학교ㆍ지역보건교육학회지
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• 제22권2호
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• pp.75-91
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• 2021

Purpose: The purpose of this article is to clearly describe research trends on health life expectancy using oral health indicators that have been published from 2010 to 2020 then suggest the direction of future research. Methods: Online academic databases in English (PubMed, Web of Science and Embase) were used to find those articles by applying a variety of keywords, including terms (adjusted life year, adjusted life expectancy, dental and oral). We identified relevant articles based on the following classification method of Mathers: (1) health gaps, (2) health expectancies. Results: Among 1,728 articles from the online databases, the final 13 studies satisfied the inclusion criteria and were selected for analysis. Health life expectancy studies indicate that research growth was recently achieved overseas. Among the literature collected in this study, 10 studies using health gap indicators yielded seven Disability-Adjusted Life Year (DALY), and three calculated Quality-Adjusted Life Year (QALY), which differed in the nature of the survey data used in the study measuring DALY and QALY. There are only three health expectancies and the number of papers were smaller than the health gap study. Conclusion: Establishing a foundation to calculate health life expectancy indicators through the development and improvement of oral health level are needed. More studies in the area of health life expectancy estimation research is based on actual prevalence and oral health-related quality of life are also needed.

• Pediatric Infection and Vaccine
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• 제15권1호
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• pp.20-29
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• 2008

The basis of the economic evaluation of vaccination is the balance between the use of the resources (input) and the improvements that result from the vaccination (output). Techniques used for economic evaluation of vaccination are cost analysis, cost-minimization analysis, cost-effectiveness analysis, cost-utility analysis and cost-benefit analysis. Cost analysis seeks to characterize the costs of a given vaccination program. Cost-effective analysis is to helps policy-makers decide on the best use of allocated resources, whether cost-benefit analysis is to helps policy-makers decide on the overall allocation of resources. Cost-utility analysis is a specific form of cost-effective analysis in which outcomes are reduced to a common denominator such as the quality-adjusted life year (QALY) or disability-adjusted life year (DALY). Many economic analyses have been conducted on vaccines in the world, but there have been a little studies on economic evaluation on vaccines in Korea. This paper reviewed the methodology used to economic evaluation on vaccines and immunizations and addressed some examples of the methods.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.1577-1581
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• 2016

Tobacco use is a well-established risk factor for many types of cancers. Recent data on selected cancer incidence and mortality related to smoking in the Indonesian population are provided in this study. Morbidity and mortality data were derived from GLOBOCAN 2012 and the population attributable fraction (PAF) was estimated using the standard methodology developed by the World Health Organization. Using these data, we calculated disability adjusted life year (DALY) values for smoking-related cancer. The DALY was estimated by summation of the years lived with disability (YLD) and years life lost due to premature death (YLL). The cancer cases related to smoking in Indonesia numbered 45,132, accounting for 35,580 cancer deaths. The morbidity and mortality of lung cancer can be considered as the highest priority in both men and women. Furthermore the greatest YLD due to smoking in Indonesian men and women were from pancreas and lung cancers. For YLL among men, the highest years lost were from lung and liver cancers. On the other hand, among women lung oral cavity and lip were most important. Based on the DALY indicator, burden priorities for Indonesian men were lung cancer (298,980), liver cancer (60,367), and nasopharynx (46,185), while among Indonesian women they were lung cancer (34,119), cervix uteri (9,213) and pancreas cancer (5,433). In total, Indonesian burden of cancers attributed to smoking was 638,682 DALY. This study provides evidence about the burden of cancers caused by smoking as a rational basis for initiating national tobacco control policies in Indonesia.

• 한국환경보건학회지
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• 제37권5호
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• pp.387-395
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• 2011

Purpose: This study measured the burden of disease in Korea related to outdoor air pollution using disability-adjusted life year (DALY). Materials and Methods: As a risk factor of outdoor air pollution, particulate matter with a diameter less than 10 ${\mu}m$($PM_{10}$) was used. First, $PM_{10}$-related diseases and their relative risk (RR) were selected by means of a literature review. Second, population attributable fractions were computed by using formulae including RR and population exposure to $PM_{10}$. Third, DALYs of $PM_{10}$-related diseases in Korea were estimated. Finally, the attributable burden of disease due to $PM_{10}$ was measured as the sum of the products that multiplied the DALYs of $PM_{10}$-related diseases by their population attributable fractions. Results: The disease burden of PM10 was 6.9 DALY per 1,000 persons in 2007. The attributable burden of $PM_{10}$ was 2.68 for lung cancer, 2.41 for COPD, 0.62 for ischemic heart disease, 0.61 for pneumonia, 0.55 for asthma, and 0.03 for preterm. Conclusions: This study showed the environmental burden of disease of $PM_{10}$ and burden of $PM_{10}$-related disease through objective data. It also suggested that active efforts are needed to continuously measure and reduce the burden of environmental diseases in Korea.

• 급식외식위생학회지
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• 제3권2호
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• pp.49-58
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• 2022

The objectives of this study were to investigate the behavior characteristics of pathogenic E. coli, Salmonella Typhimurium, Campylobacter jejuni, and Listeria monocytogenes in various kinds of meat (beef, chicken, and pork) and to compare their risk using FDA-iRISK. The growth of S. Typhimurium in chicken and pathogenic E. coli in pork and beef was well supported and posed a high risk. A similar trend was observed in the risk comparison results using the iRISK. When comparing total disability adjusted life years (DALY) per year based on the kinds of meat, chicken was the highest (88.2), followed by pork (58.5) and beef for "yukhoe" (18.8). When comparing scenarios grouped by bacteria, The highest total DALYs per year was observed with pathogenic E. coli (121), followed by S. Typhimurium (44.8) and L. monocytogenes (1.67E-³). These results indicate that the risk of combining meat and foodborne pathogens varies under the same distribution environment. Thus, strict management and supervision are required to store and deliver raw meat to prevent cross-contamination among the raw meats at the processing plant and retail market.

• 보건행정학회지
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• 제18권4호
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• pp.1-22
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• 2008

Burden of disease analysis provides a unique perspective on health by integrating fatal and non-fatal outcomes, yet allows the outcome of two classes to be examined separately. Although many studies have shown the inequality in health outcomes across socioeconomic status (SES), an analysis and comparison of Disability Adjusted Life Year (DALY) between different socioeconomic groups has been rare. This paper calculates the DALY and analyzes the distribution of DALYs for different SES. This study draws from 3,278 cases from the survey on "The Livelihood and Welfare Needs of the Elderly (2004)". It first provides a comprehensive assessment of the burden of 10 chronic diseases of the elderly based on DALY. Then this paper analyzes inequalities in the burden of disease by the levels of SES such as education, income, family size, occupation, and subjective economic conditions. For the elderly, the burden of disease is the highest for hypertension, arthritis and cancer. DALY rate per 1,000 people for the most socio-economically disadvantaged group is expressed as a multiple of the standardized rate for the least disadvantaged group (Rate Ratios). Family size is strongly related to. the difference in the burden of disease between SES groups, and the elderly Who live alone have higher DALY rate than those who live with their family. Other significant variables related to SES groups include subjective economic conditions, occupation, elderly income, and household income.

• Asian Pacific Journal of Cancer Prevention
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• 제17권2호
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• pp.609-614
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• 2016

Background: Although breast cancer is the most common cancer in women, economic evaluation of breast cancer screening is not fully addressed in developing countries. The main objective of the present study was to analyze the cost-effectiveness of breast cancer screening using mammography in 35-69 year old women in an Iranian setting. Materials and Methods: This was an economic evaluation study assessing the cost-effectiveness of a population-based screening program in 35-69 year old women residing in rural areas of South east Iran. The study was conducted from the perspective of policy-makers of insurance. The study population consisted of 35- to 69-year old women in rural areas of Kerman with a population of about 19,651 in 2013. The decision tree modeling and economic evaluation software were used for cost-effectiveness and sensitivity analyses of the interventions. Results: The total cost of the screening program was 7,067.69 US$ and the total effectiveness for screening and no-screening interventions was 0.06171 and 0.00864 disability adjusted life years averted, respectively. The average cost-effectiveness ratio DALY averted US$ for screening intervention was 7,7082.5 US$ per DALY averted and 589,027 US $ for no-screening intervention. The incremental cost-effectiveness ratio DALY averted was 6,264 US$ per DALY averted for screening intervention compared with no-screening intervention. Conclusions: Although the screening intervention is more cost-effective than the alternative (noscreening) strategy, it seems that including breast cancer screening program in health insurance package may not be recommended as long as the target group has a low participation rate.