作者: Melissa McLeod , Tony Blakely , Giorgi Kvizhinadze , Ricci Harris
关键词: Medicine 、 Life expectancy 、 Epidemiology 、 Gerontology 、 Population 、 Public health 、 Demography 、 Health services research 、 Disease 、 Psychological intervention 、 Cost effectiveness 、 Public Health, Environmental and Occupational Health
摘要: A critical first step toward incorporating equity into cost-effectiveness analyses is to appropriately model interventions by population subgroups. In this paper we use a standardized treatment intervention examine the impact of using ethnic-specific (Māori and non-Māori) data in cost-utility for three cancers. We estimate gains health-adjusted life years (HALYs) simple (20% reduction excess cancer mortality) lung, female breast, colon cancers, Markov modeling. Base models include incidence with other parameters either turned off or set non-Māori levels both groups. Subsequent add survival, morbidity, expectancy. Costs downstream health system costs. For including existing inequalities background (population mortality comorbidities) Māori attributes less value year saved compared lowers relative Māori. contrast, ethnic have predictable effects. Despite having higher from all modeled were lung than but breast interventions. Cost-effectiveness modeling useful tool prioritization services. But there are important (and sometimes counterintuitive) implications disease parameters. order avoid perpetuating health, such should be undertaken care.