เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| [UNTRANSLATED]× | แบบจำลองโซ่ของมาร์คอฟในเศรษฐศาสตร์สาธารณสุข× | |
|---|---|---|
| สาขาวิชา | เศรษฐศาสตร์สุขภาพ | เศรษฐศาสตร์สุขภาพ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1985 | 1983 |
| ผู้ริเริ่ม≠ | Alan Williams (Health Economics Research Centre, Oxford University) | Beck & Pauker (medical decision analysis, Massachusetts General Hospital) |
| ประเภท | Method | Method |
| แหล่งต้นตำรับ≠ | Kind, P. (1989). The EuroQol instrument: an index of health-related quality of life. In B. Teeling Smith (Ed.), Measuring health: a practical approach. Chichester: Wiley. link ↗ | Beck, J. R., & Pauker, S. G. (1983). The Markov Process in Medical Prognosis. Medical Decision Making, 3(4), 419-458. DOI ↗ |
| ชื่อเรียกอื่น≠ | QALY, health utility measure | Markov model, state transition model, cohort simulation |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | A QALY measures health benefit as utility weight (0 = death, 1 = perfect health) multiplied by time lived. Developed by Alan Williams in 1985, QALYs enable comparison of disparate health interventions on a common metric. Used globally by health technology assessment bodies—NICE (UK), HAS (France), CADTH (Canada), WHO—to decide which treatments deserve public funding. | A Markov model is a decision-analytic tool that simulates disease progression through defined health states over time, calculating cumulative costs and quality-adjusted life years (QALYs) to enable cost-effectiveness analysis. Developed by Beck and Pauker in 1983, Markov models are now the standard framework for projecting long-term outcomes of health interventions, especially chronic diseases where patients transition between clinical states (treatment response, disease progression, remission, death). Used by health technology assessment bodies and pharmaceutical companies to predict intervention value beyond trial duration. |
| ScholarGateชุดข้อมูล ↗ |
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