The Journal of pediatrics · 2005
Assessing the cost of cystic fibrosis diagnosis and treatment.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПоддержка службы здравоохранения СШАОбзорНазвание и аннотация: Перевод в очереди
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.
Rosenberg Marjorie A, Farrell Philip M
Аннотация
OBJECTIVES: To extend previous evaluations of costs of cystic fibrosis (CF) diagnosis and examine key issues in assessing the CF cost of care.
STUDY DESIGN: Costs for CF newborn screening (NBS) including CF multi-mutation testing are analyzed by using data from the Wisconsin State Laboratory of Hygiene. Electronic data from 2 Wisconsin CF centers are used to illustrate the complexity of analyzing CF health care utilization and costs.
RESULTS: The current cost-per-newborn of a CF multi-mutation test is 50% higher than testing for a single mutation. Data collection for the cost-of-care study requires a combination of electronic and manual data collection; modeling of cost data requires consideration of any censoring. Hospitalizations are shown to have a large impact on costs and show high variability at the individual level. Sixty-nine percent of children with meconium ileus had some hospitalization versus 56% of children without meconium ileus.
CONCLUSION: A cost-benefit analysis of CF multi-mutation testing is warranted. The study of health care cost data is complex and utilization varies between children. Individual-level modeling of CF costs must include factors contributing to the severity of the disease and allow for consideration of individual-level utilization, such as the number of hospitalizations.
STUDY DESIGN: Costs for CF newborn screening (NBS) including CF multi-mutation testing are analyzed by using data from the Wisconsin State Laboratory of Hygiene. Electronic data from 2 Wisconsin CF centers are used to illustrate the complexity of analyzing CF health care utilization and costs.
RESULTS: The current cost-per-newborn of a CF multi-mutation test is 50% higher than testing for a single mutation. Data collection for the cost-of-care study requires a combination of electronic and manual data collection; modeling of cost data requires consideration of any censoring. Hospitalizations are shown to have a large impact on costs and show high variability at the individual level. Sixty-nine percent of children with meconium ileus had some hospitalization versus 56% of children without meconium ileus.
CONCLUSION: A cost-benefit analysis of CF multi-mutation testing is warranted. The study of health care cost data is complex and utilization varies between children. Individual-level modeling of CF costs must include factors contributing to the severity of the disease and allow for consideration of individual-level utilization, such as the number of hospitalizations.