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  • 标题:How much might a society spend on life-saving interventions at different ages while remaining cost-effective? A case study in a country with detailed data
  • 本地全文:下载
  • 作者:Giorgi Kvizhinadze ; Nick Wilson ; Nisha Nair
  • 期刊名称:Population Health Metrics
  • 印刷版ISSN:1478-7954
  • 电子版ISSN:1478-7954
  • 出版年度:2015
  • 卷号:13
  • 期号:1
  • 页码:15
  • DOI:10.1186/s12963-015-0052-2
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:We aimed to estimate the maximum intervention cost (EMIC) a society could invest in a life-saving intervention at different ages while remaining cost-effective according to a user-specified cost-effectiveness threshold. New Zealand (NZ) was used as a case study, and a health system perspective was taken. Data from NZ life tables and morbidity data from a burden of disease study were used to estimate health-adjusted life-years (HALYs) gained by a life-saving intervention. Health system costs were estimated from a national database of all publicly funded health events (hospitalizations, outpatient events, pharmaceuticals, etc.). For illustrative purposes we followed the WHO-CHOICE approach and used a cost-effectiveness threshold of the gross domestic product (GDP) per capita (NZ$45,000 or US$30,000 per HALY). We then calculated EMICs for an “ideal” life-saving intervention that fully returned survivors to the same average morbidity, mortality, and cost trajectories as the rest of their cohort. The EMIC of the “ideal” life-saving intervention varied markedly by age: NZ$1.3 million (US$880,000) for an intervention to save the life of a child, NZ$0.8 million (US$540,000) for a 50-year-old, and NZ$0.235 million (US$158,000) for an 80-year-old. These results were predictably very sensitive to the choice of discount rate and to the selected cost-effectiveness threshold. Using WHO data, we produced an online calculator to allow the performance of similar calculations for all other countries. We present an approach to estimating maximal cost-effective investment in life-saving health interventions, under various assumptions. Our online calculator allows this approach to be applied in other countries. Policymakers could use these estimates as a rapid screening tool to determine if more detailed cost-effectiveness analyses of potential life-saving interventions might be worthwhile or which proposed life-saving interventions are very unlikely to benefit from such additional research.
  • 关键词:Health-adjusted life-years (HALYs) ; Health-adjusted life expectancy (HALE) ; Cost-effective ; Cost-effectiveness threshold ; Age ; Quality-adjusted life-years (QALYs) ; Morbidity ; Health system costs
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