ArticlePreventing chronic disease2013
Monitoring progress in population health: trends in premature death rates.
Article in Preventing chronic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
6 citing papers in PubMed.
- Development and validation of a population-based risk algorithm for premature mortality in Canada: the Premature Mortality Population Risk Tool (PreMPoRT).BMJ public health · 2024Article
- A national cohort study of community belonging and its influence on premature mortality.Journal of epidemiology and community health · 2024Article
- Downstream health impacts of employment losses during the COVID-19 pandemic.Canadian journal of public health = Revue canadienne de sante publique · 2022Article
- A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT).Diagnostic and prognostic research · 2020Article
- Can States Simultaneously Improve Health Outcomes and Reduce Health Outcome Disparities?Preventing chronic disease · 2016Article
- Socioeconomic Position and Premature Mortality in the AusDiab Cohort of Australian Adults.American journal of public health · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTrends in population health outcomes can be monitored to evaluate the performance of population health systems at the national, state, and local levels. The objective of this study was to compare and contrast 4 measures for assessing progress in population health improvement by using age-adjusted premature death rates as a summary measure of the overall health outcomes in the United States and in all 50 states.
methodsTo evaluate the performance of statewide population health systems during the past 20 years, we used 4 measures of age-adjusted premature (<75 years of age) death rates: current rates (2009), baseline trends (1990s), follow-up trends (2000s), and changes in trends from baseline to the follow-up periods (ie, "bending the curve").
resultsCurrent premature death rates varied by approximately twofold, with the lowest rate in Minnesota (268 deaths per 100,000) and the highest rate in Mississippi (482 deaths per 100,000). Rates improved the most in New York during the baseline period (-3.05% per year) and in New Jersey during the follow-up period (-2.87% per year), whereas Oklahoma ranked last in trends during both periods (-0.30%/y, baseline; +0.18%/y, follow-up). Trends improved the most in Connecticut, bending the curve downward by -1.03%; trends worsened the most in New Mexico, bending the curve upward by 1.21%. DISCUSSION: Current premature death rates, recent trends, and changes in trends vary by state in the United States. Policy makers can use these measures to evaluate the long-term population health impact of broad health care, behavioral, social, and economic investments in population health.
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