Genetics in medicine : official journal of the American College of Medical Genetics · 2023
Economic evaluation of population-based, expanded reproductive carrier screening for genetic diseases in Australia.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Schofield Deborah, Lee Evelyn, Parmar Jayamala, Kelly Simon, Hobbs Matthew, Laing Nigel, Mumford Jan, Shrestha Rupendra
Аннотация
PURPOSE: This study aimed to evaluate the cost effectiveness of population-based, expanded reproductive carrier screening (RCS) for a 300 recessive gene panel from health service and societal perspectives.
METHODS: A microsimulation model (PreConMod) was developed using 2016 Australian Census data as the base population. Epidemiologic, health, and indirect cost data were based on literature review. The study assessed the incremental cost effectiveness ratio of expanded RCS compared with (1) no population screening and (2) 3-condition screening for cystic fibrosis, spinal muscular atrophy, and fragile X syndrome in a single birth cohort. Averted affected births and health service savings with expanded RCS were projected to year 2061. Both one-way and probability sensitivity analyses were conducted to assess the uncertainty of the parameter inputs.
RESULTS: Expanded RCS was cost saving compared with no population screening and cost effective compared with the 3-condition screening (incremental cost effectiveness ratio of Australian dollar [AUD] 6287 per quality-adjusted life year gained) at an uptake rate of 50% for RCS, 59% for in vitro fertilization and preimplantation genetic testing, 90% for prenatal diagnosis testing, and 50% for elective termination of affected pregnancies and a cost of AUD595 per couple screened. Our model predicts that expanded RCS would avert one-third of affected births in a single birth cohort and reduce lifetime health service spending by AUD632.0 million. Expanded RCS was estimated to be cost saving from the societal perspective.
CONCLUSION: Expanded RCS is cost effective from health service and societal perspectives. Expanded RCS is projected to avert significantly more affected births and result in health service saving beyond those expected from 3-condition screening or no population screening.
METHODS: A microsimulation model (PreConMod) was developed using 2016 Australian Census data as the base population. Epidemiologic, health, and indirect cost data were based on literature review. The study assessed the incremental cost effectiveness ratio of expanded RCS compared with (1) no population screening and (2) 3-condition screening for cystic fibrosis, spinal muscular atrophy, and fragile X syndrome in a single birth cohort. Averted affected births and health service savings with expanded RCS were projected to year 2061. Both one-way and probability sensitivity analyses were conducted to assess the uncertainty of the parameter inputs.
RESULTS: Expanded RCS was cost saving compared with no population screening and cost effective compared with the 3-condition screening (incremental cost effectiveness ratio of Australian dollar [AUD] 6287 per quality-adjusted life year gained) at an uptake rate of 50% for RCS, 59% for in vitro fertilization and preimplantation genetic testing, 90% for prenatal diagnosis testing, and 50% for elective termination of affected pregnancies and a cost of AUD595 per couple screened. Our model predicts that expanded RCS would avert one-third of affected births in a single birth cohort and reduce lifetime health service spending by AUD632.0 million. Expanded RCS was estimated to be cost saving from the societal perspective.
CONCLUSION: Expanded RCS is cost effective from health service and societal perspectives. Expanded RCS is projected to avert significantly more affected births and result in health service saving beyond those expected from 3-condition screening or no population screening.