ArticleThe Permanente journal2020
Using the County Health Rankings Framework to Create National Percentile Scores for Health Outcomes and Health Factors.
Article in The Permanente journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Exploring the association between community-level factors and health literacy using multilevel analysis.BMC public health · 2025Article
- A Geographic Weighted Regression Analysis of the Health Opportunity Index and Stroke Prevalence in Health and Human Services Region 3.International journal of environmental research and public health · 2025Article
- Health differences between rural and non-rural Texas counties based on 2023 County Health Rankings.BMC health services research · 2025Article
- Social and environmental determinants of health among children with long-term movement impairment.Frontiers in rehabilitation sciences · 2022Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAs a means of conceptualizing population health, the County Health Rankings & Roadmaps program developed a methodology to rank counties within each state on Health Outcomes and Health Factors. We built on this framework by introducing an additional application that utilized national percentile scores and population size weighting to compare counties on a national, rather than a state, level.
methodsWe created national percentile scores for 3078 US counties and used population size weighting in our calculations so that values for counties with larger populations would be weighted more heavily than values for counties with smaller populations.
resultsWe demonstrated how this application can be used to 1) compare counties nationally, 2) examine clustering and variability among counties, and 3) compare the health of states and regions. To underscore its utility, we included an example application by Kaiser Permanente. As a form of method validation, the results of this application are in line with other ranking systems (eg, US News and World Report and United Health Foundation; ρ = 0.39 to 0.91, p < 0.001). DISCUSSION: This application can be used by communities and organizations that may be interested in comparing the health of counties, service areas, and regions in which they operate. We included additional considerations and highlighted some limitations for those interested in utilizing this application.
conclusionBy comparing counties nationally and utilizing population size weighting, community partners can focus on areas that may be of greatest need in moving toward a national Culture of Health.
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