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DALY Estimation Approaches: Understanding and Using the Incidence-based Approach and the Prevalence-based Approach
Young-Eun Kim1, Yoon-Sun Jung2, Minsu Ock3,4
1Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.
Summary
Disability-adjusted life-year (DALY) estimates depend on chosen methods. This review guides researchers in selecting appropriate DALY estimation approaches for accurate burden of disease studies.
Area of Science:
- Public Health
- Epidemiology
- Health Economics
Background:
- Disability-adjusted life-year (DALY) estimates are influenced by various factors, including standard life expectancy, age weighting, and discount rates.
- Three primary DALY estimation approaches exist: incidence-based, pure prevalence-based, and hybrid, each offering unique perspectives on disease burden.
Purpose of the Study:
- To review and compare different Disability-adjusted life-year (DALY) estimation approaches.
- To guide researchers in selecting appropriate DALY methods based on study objectives.
- To enhance the critical interpretation of burden of disease studies.
Main Methods:
- Review of existing literature on DALY estimation methodologies.
- Analysis of the characteristics and applications of incidence-based, prevalence-based, and hybrid DALY approaches.
- Comparison of international (e.g., Global Burden of Disease) and national (e.g., Korea National Burden of Disease) study methodologies.
Main Results:
- The Global Burden of Disease studies transitioned from incidence-based to hybrid DALY approaches in 2010.
- Korean National Burden of Disease studies predominantly utilize the incidence-based approach.
- A need exists for more prevalence-based DALY studies in Korea to improve international comparability.
Conclusions:
- Selecting the appropriate DALY estimation approach is crucial and depends on the study's purpose.
- Further research in Korea using prevalence-based DALY methods and a suitable disease classification system is recommended.
- Establishing robust data sources is essential for diverse DALY estimation approaches and accurate burden of disease assessment.
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