RESUMO
At present time, there is uncertainty regarding whether influenza-like illness in healthy adults is best managed by preventive efforts that use the trivalent influenza vaccine, administration of neuraminidase inhibitors at the onset of illness, or recommendation of supportive care alone at the onset of illness. We conducted a cost-effectiveness analysis that examined these 3 strategies for managing influenza-like illness. Vaccination with inactivated trivalent vaccine would save approximately 25 dollars per person while resulting in a net gain of approximately 3.2 quality-adjusted hours relative to providing treatment with the neuraminidase inhibitor oseltamivir. A quality-adjusted hour is a fraction of a quality-adjusted life-year, which is the equivalent of 1 year lived in perfect health. Treatment with oseltamivir was associated with an incremental cost-effectiveness of approximately 27,619 dollars per quality-adjusted life-year gained relative to providing supportive care. Vaccination is cost-saving relative to providing either treatment with oseltamivir or providing supportive care alone.
Assuntos
Vacinas contra Influenza/economia , Influenza Humana/economia , Influenza Humana/terapia , Acetamidas/uso terapêutico , Adolescente , Adulto , Idoso , Antivirais/uso terapêutico , Análise Custo-Benefício , Inibidores Enzimáticos/uso terapêutico , Humanos , Influenza Humana/prevenção & controle , Pessoa de Meia-Idade , Neuraminidase/antagonistas & inibidores , Oseltamivir , Vacinas de Produtos Inativados/economiaRESUMO
BACKGROUND: The quality-adjusted life year (QALY) is an attractive outcome measure because it captures both health-related quality of life (HRQL) and life expectancy in a single metric. We present a method for calculating QALYs that is simple, utilizes data that are free of charge, and may improve consistency in burden-of-disease investigations. METHODS: For purposes of illustration, we calculated the burden of disease due to stroke using two abridged life tables, each adjusted for HRQL. The first life table was generated using all-cause mortality and morbidity data (a reference cohort) and the second was generated using all diseases except stroke (a stroke-free cohort). The difference in total QALYs and in quality-adjusted life expectancy (QALE) was determined by subtraction. RESULTS: Approximately 61,328 (95% CI=60,272, 62,383) QALYs were lost to stroke in the life-table cohort. Stroke is responsible for a decrement of 0.03 years of life expectancy and 0.61 years of QALE in the United States. CONCLUSIONS: The "years of health life"measure affords a rapid, inexpensive, and sensitive means for estimating the burden of disease for local health priorities and may assist research efforts in including QALYs as an outcome measure.