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| Godine prilagođene izgubljenim godinama života (DALY)× | Modelovanje analize odluka u zdravstvenoj ekonomiji× | |
|---|---|---|
| Oblast | Ekonomija zdravstva | Ekonomija zdravstva |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1990 | 1975 |
| Tvorac≠ | Christopher J. L. Murray and Alan D. Lopez (World Health Organization / World Bank) | Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital) |
| Tip | Method | Method |
| Temeljni izvor≠ | Murray, C. J., Lopez, A. D., & Jamison, D. T. (1994). The Global Burden of Disease in 1990: Summary Results, Sensitivity Analysis, and Future Directions. In C. J. Murray & A. D. Lopez (Eds.), Global Burden of Disease and Injury. Cambridge: Harvard University Press. link ↗ | Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234. DOI ↗ |
| Drugi nazivi≠ | DALY, global disease burden metric, burden of disease | decision analysis, decision tree, decision model, health economic model |
| Srodne | 5 | 5 |
| Sažetak≠ | A DALY quantifies disease burden as the sum of years of life lost to premature death and years lived with disability. Developed by the World Health Organization and World Bank in 1990 as part of the Global Burden of Disease (GBD) study, DALYs enable epidemiologists and public health planners to compare disease burden across populations, identify health priorities, and evaluate intervention impact. One DALY = one lost year of 'healthy' life; DALYs averted measure progress toward health goals. | Decision analytic modeling is a systematic framework for comparing health interventions by integrating evidence on probabilities, outcomes, costs, and patient preferences into a quantitative model. Developed by Pauker and Kassirer in 1975, decision analysis structures clinical uncertainty and economic trade-offs, enabling transparent comparison of treatment options and identification of optimal strategies. Used in health technology assessment, clinical practice guideline development, and resource allocation decisions. |
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