DALY Estimation Approaches: Understanding and Using the Incidence-based Approach and the Prevalence-based Approach
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
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.
Abstract
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.
참고문헌 (29)
- Jung Yoon-Sun, "Measuring the Burden of Disease in Korea, 2008-2018", 예방의학회지, 54(5), pp.293~300 (2021), 대한예방의학회[DOI]
- World Bank, "World development report 1993: investing in health", pp.1~16 (1993), Oxford University Press
- Murray CJ, "Regional patterns of disability-free life expectancy and disability-adjusted life expectancy : global burden of disease study", Lancet, 349(9062), pp.1347~1352 (1997)
- Murray CJ, "Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study", Lancet, 349(9063), pp.1436~1442 (1997)
- Murray CJ, "Alternative projections of mortality and disability by cause 1990-2020 : Global Burden of Disease Study", Lancet, 349(9064), pp.1498~1504 (1997)
- Hyder AA, "Measuring the health of populations : explaining composite indicators", J Public Health Res, 1(3), pp.222~228 (2012)
- "Global burden of disease and risk factors" (2006)[URL]
- Devleesschauwer B, "Calculating disability-adjusted life years to quantify burden of disease", Int J Public Health, 59(3), pp.565~569 (2014)
- 옥민수, "장애가중치 산출 연구에서의 쟁점 검토", 보건행정학회지, 26(4), pp.352~358 (2016), 한국보건행정학회
- Murray CJ, "GBD 2010: design, definitions, and metrics", Lancet, 380(9859), pp.2063~2066 (2012)
- Vos T, "Years lived with disability(YLDs)for 1160 sequelae of 289 diseases and injuries 1990-2010 : a systematic analysis for the Global Burden of Disease Study 2010", Lancet, 380(9859), pp.2163~2196 (2012)
- Lim SS, "A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010", Lancet, 380(9859), pp.2224~2260 (2012)
- Schroeder SA, "Incidence, prevalence, and hybrid approaches to calculating disability-adjusted life years", Popul Health Metr, 10(1), pp.19~ (2012)
- Cho SW, "Estimating lifetime duration of diabetes by age and gender in the Korean population using a markov model", J Korean Med Sci, 34(Suppl 1), pp.e74~ (2019)
- GBD 2019 Diseases and Injuries Collaborators, "Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019", Lancet, 396(10258), pp.1204~1222 (2020)
- Salomon JA, "Common values in assessing health outcomes from disease and injury : disability weights measurement study for the Global Burden of Disease Study 2010", Lancet, 380(9859), pp.2129~2143 (2012)
- GBD 2017 Disease and Injury Incidence and Prevalence Collaborators, "Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017", Lancet, 392(10159), pp.1789~1858 (2018)
- 윤석준, "Measuring the Burden of Disease in Korea", Journal of Korean Medical Science, 22(3), pp.518~523 (2007), 대한의학회
- 오인환, "한국인의 질병부담", 대한의사협회지, 54(6), pp.646~652 (2011), 대한의사협회
- Yoon J, "The non-communicable disease burden in Korea: findings from the 2012 Korean Burden of Disease Study", J Korean Med Sci, 31(Suppl 2), pp.S158~S167 (2016)
- Lee YR, "Disability-adjusted life years for communicable disease in the Korean Burden of Disease Study 2012", J Korean Med Sci, 31(Suppl 2), pp.S178~S183 (2012)
- Ock M, "Disability weights measurement for 228 causes of disease in the Korean Burden of Disease Study 2012", J Korean Med Sci, 31(Suppl 2), pp.S129~S138 (2012)
- Ock M, "Estimation of disability weights in the general population of South Korea using a paired comparison", PLoS One, 11(9), pp.e0162478~ (2016)
- Gong YH, "The burden of cancer in Korea during 2012: findings from a prevalence-based approach", J Korean Med Sci, 31(Suppl 2), pp.S168~S177 (2016)
- Kim YE, "Trends and patterns of burden of disease and injuries in Korea using disability-adjusted life years", J Korean Med Sci, 34(Suppl 1), pp.e75~ (2019)
- Park B, "Incidence-based versus prevalence-based approaches on measuring disability-adjusted life years for injury", J Korean Med Sci, 34(Suppl 1), pp.e69~ (2019)
- Ock M, "Estimating the severity distribution of disease in South Korea using EQ-5D-3L : a cross-sectional study", BMC Public Health, 16, pp.234~ (2016)
- Ock M, "Disability weights measurement for 289 causes of disease considering disease severity in Korea", J Korean Med Sci, 34(Suppl 1), pp.e60~ (2019)
- Ock M, "Estimating quality-adjusted life-year loss due to noncommunicable diseases in Korean adults through to the year 2040", Value Health, 18(1), pp.61~66 (2015)
