Mailman School of Public Health at Columbia University, Health Policy and Management.
Sociology Department, University of Colorado Boulder.
Int J Epidemiol. 2017 Aug 1;46(4):1239-1248. doi: 10.1093/ije/dyw290.
In 2003, New York City (NYC) implemented a series of coordinated policies designed to reduce non-communicable disease.
We used coarsened exact matching (CEM) of individuals living inside and outside NYC between the years of 1992-2000 and 2002-10 to estimate difference-in-difference survival time models, a quasi-experimental approach. We also fitted age-period-cohort (APC) models to explore mortality impacts by gender, race, age, borough and cause of death over this same time period.
Both CEM and APC models show that survival gains were large in the pre-2003 era of health policy reform relative to the rest of the USA, but small afterwards. There is no clear link between any policy and changes in mortality by age, gender, ethnicity, borough, or cause of death.
NYC's gains in survival relative to the rest of the nation were not linked to the city's innovative and coordinated health policy efforts.
2003 年,纽约市(NYC)实施了一系列旨在减少非传染性疾病的协调政策。
我们使用 1992-2000 年和 2002-10 年生活在纽约市内外的个体的粗化精确匹配(CEM)来估计差异-差异生存时间模型,这是一种准实验方法。我们还拟合了年龄-时期-队列(APC)模型,以在同一时期探索性别、种族、年龄、行政区和死因的死亡率影响。
CEM 和 APC 模型均表明,在健康政策改革的 2003 年之前的时代,与美国其他地区相比,生存获益较大,但之后较小。在任何政策与年龄、性别、种族、行政区或死因的死亡率变化之间没有明确的联系。
与美国其他地区相比,纽约市的生存获益与该市创新和协调的卫生政策努力无关。