ArticleJournal of public health management and practice : JPHMP
Measuring Subcounty Differences in Population Health Using Hospital and Census-Derived Data Sets: The Missouri ZIP Health Rankings Project.
Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A Spatial Analytic Approach to Maternal Health Following Hurricane Florence (2018).Maternal and child health journal · 2026Article
- Assessing the socio-geographic and lifestyle factors impacting epithelial ovarian cancer outcomes: a retrospective study based on county health ranking in Missouri.Gynecologic oncology reports · 2025Article
- Pre-pandemic trends and Black:White inequities in life expectancy across the 30 most populous U.S. cities: a population-based study.BMC public health · 2023Article
- Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation.International journal of health geographics · 2023Article
- Neighborhood-level COVID vaccination and booster disparities: A population-level analysis across California.SSM - population health · 2023Article
- Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol.BMC infectious diseases · 2022Article
- Value-based focused global population health management.Journal of gastrointestinal oncology · 2021Review
- Creative Approaches for Assessing Long-term Outcomes in Children.Pediatrics · 2021Review
- Grand Challenges in Human Factors and Digital Health.Frontiers in digital health · 2021Article
- Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations.Spatial and spatio-temporal epidemiology · 2020Article
- Making Better Use of Population Health Data for Community Health Needs Assessments.EGEMS (Washington, DC) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
contextMeasures of population health at the subcounty level are needed to identify areas for focused interventions and to support local health improvement activities.
objectiveTo extend the County Health Rankings population health measurement model to the ZIP code level using widely available hospital and census-derived data sources.
designRetrospective administrative data study.
settingMissouri. POPULATION: Missouri FY 2012-2014 hospital inpatient, outpatient, and emergency department discharge encounters (N = 36 176 377) and 2015 Nielsen data.
main outcome measuresZIP code-level health factors and health outcomes indices.
resultsStatistically significant measures of association were observed between the ZIP code-level population health indices and published County Health Rankings indices. Variation within counties was observed in both urban and rural areas. Substantial variation of the derived measures was observed at the ZIP code level with 20 (17.4%) Missouri counties having ZIP codes in both the top and bottom quintiles of health factors and health outcomes. Thirty of the 46 (65.2%) counties in the top 2 county quintiles had ZIP codes in the bottom 2 quintiles.
conclusionsThis proof-of-concept analysis suggests that readily available hospital and census-derived data can be used to create measures of population health at the subcounty level. These widely available data sources could be used to identify areas of potential need within counties, engage community stakeholders, and target interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.