ArticleInternational journal of epidemiology2017
The effects of New York City's coordinated public health programmes on mortality through 2011.
Article in International journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Can Social Policies Improve Health? A Systematic Review and Meta-Analysis of 38 Randomized Trials.The Milbank quarterly · 2020Pooled it
- Examining the Efficacy of Coarsened Exact Matching as an Alternative to Propensity Score Matching.Statistics in medicine · 2026Article
- The 'welcomed lockdown' hypothesis? Mental wellbeing and mobility restrictions.The European journal of health economics : HEPAC : health economics in prevention and care · 2023Article
- Trusting the Health System and COVID 19 Restriction Compliance.Economics and human biology · 2023Article
- Neighborhood disparities in COVID-19 outcomes in New York city over the first two waves of the outbreak.Annals of epidemiology · 2022Article
- Rural and urban differences in patient experience in China: a coarsened exact matching study from the perspective of residents.BMC health services research · 2021Article
- Can antipoverty programmes save lives? Quasi-experimental evidence from the Earned Income Tax Credit in the USA.BMJ open · 2020Article
- Life and Death in the American City: Men's Life Expectancy in 25 Major American Cities From 1990 to 2015.Demography · 2019Article
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Abstract
Background: In 2003, New York City (NYC) implemented a series of coordinated policies designed to reduce non-communicable disease. Methods: 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. Results: 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. Conclusions: 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.
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