Evidence map›Paper›PMID 24733190›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2014

A flexible urban health index for small area disparities.

Richard Rothenberg, Scott R Weaver, Dajun Dai, Christine Stauber, Amit Prasad, Megumi Kano

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Urban Health Indicator Tools of the Physical Environment: a Systematic Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2018
    Pooled it
  2. Article
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  4. Article
  5. Article
  6. Urban HEART Detroit: the Application of a Health Equity Assessment Tool.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Measuring the Impact of Environment on the Health of Large Cities.International journal of environmental research and public health · 2018
    Article
  12. Article
  13. Improvement of Geographic Disparities: Amelioration or Displacement?Journal of urban health : bulletin of the New York Academy of Medicine · 2017
    Article
  14. The Urban Dental Index: a Method for Measuring and Mapping Dental Health Disparities across Urban Areas.Journal of urban health : bulletin of the New York Academy of Medicine · 2017
    Article
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Richard RothenbergSchool of Public Health, Georgia State University, Atlanta, GA, USA, rrothenberg@gsu.edu.
Scott R Weaver
Dajun Dai
Christine Stauber
Amit Prasad
Megumi Kano

Funding

Variation in Health Outcomes within Disadvantaged NeighborhoodsP20MD004806 · NIMHD · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2010 to 2014
$7.2M
NIMHD NIH HHS 1P20MD004806NIMHD NIH HHS P20 MD004806World Health Organization 001
6 · The paper itself

Abstract

Available urban health metrics focus primarily on large area rankings. Less has been done to develop an index that provides information about level of health and health disparities for small geographic areas. Adopting a method used by the Human Development Index, we standardized indicators for small area units on a (0, 1) interval and combined them using their geometric mean to form an Urban Health Index (UHI). Disparities were assessed using the ratio of the highest to lowest decile and measurement of the slope of the eight middle deciles (middle; 80 %) of the data. We examined the sensitivity of the measure to weighting, to changes in the method, to correlation among indicators, and to substitution of indicators. Using seven health determinants and applying these methods to the 128 census tracts in the city of Atlanta, USA, we found a disparity ratio of 5.92 and a disparity slope of 0.54, suggesting substantial inequality and heterogeneity of risk. The component indicators were highly correlated; their systematic removal had a small effect on the results. Except in extreme cases, weighting had a little effect on the rankings. A map of Atlanta census tracts exposed a swath of high disparity. UHI rankings, ratio, and slope were resistant to alteration in composition and to non-extreme weighting schemes. This empirical evaluation was limited to a single realization, but suggests that a flexible tool, whose method rather than content is standardized, may be of use for local evaluation, for decision making, and for area comparison.

Indexed as

Health Status DisparitiesSmall-Area AnalysisHealth Status IndicatorsHumansReproducibility of ResultsSocioeconomic FactorsUrban Health

Identifiers

PMID24733190
PMCPMC4199452

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.