Evidence map›Paper›PMID 23522864›Full record

ArticleThe Journal of pediatrics2013

Inequalities in neighborhood child asthma admission rates and underlying community characteristics in one US county.

Andrew F Beck, Terri Moncrief, Bin Huang, Jeffrey M Simmons, Hadley Sauers, Chen Chen, Robert S Kahn

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% of its field
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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  7. Review
  8. Impact of climate change on paediatric respiratory health: pollutants and aeroallergens.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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  14. BORN TO WHEEZE OR LEARNED WHEN WE WERE YOUNG: MATERNAL AND ENVIRONMENTAL FACTORS INFLUENCE ATOPIC RISK.Transactions of the American Clinical and Climatological Association · 2023
    Article
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  18. Observational
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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

7 authors at 1 institution in 1 country.

Andrew F BeckDivision of General and Community Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. Andrew.Beck1@cchmc.org
Terri Moncrief
Bin Huang
Jeffrey M Simmons
Hadley Sauers
Chen Chen
Robert S Kahn
Cincinnati Children's Hospital Medical Center · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR026314 · NCRR · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2009 to 2011
$14.3M
Pediatric Center--Gene Expression /Developmental ScienceK12HD028827 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Tina Lee Cheng · 2002 to 2026
$9.6M
Explaining Racial Disparities in Child Asthma MorbidityR01AI088116 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI KAHN, ROBERT S · 2010 to 2013
$2.6M
NCRR NIH HHS UL1 RR026314NCRR NIH HHS UL1-RR026314-01NIAID NIH HHS 1R01AI88116NIAID NIH HHS R01 AI088116NICHD NIH HHS K12 HD028827PHS HHS T32HP10027
6 · The paper itself

Abstract

objectivesTo characterize variation and inequalities in neighborhood child asthma admission rates and to identify associated community factors within one US county. STUDY

designThis population-based prospective, observational cohort study consisted of 862 sequential child asthma admissions among 167 653 eligible children ages 1-16 years in Hamilton County, Ohio. Admissions occurred at a tertiary-care pediatric hospital and accounted for nearly 95% of in-county asthma admissions. Neighborhood admission rates were assessed by geocoding addresses to city- and county-defined neighborhoods. The 2010 US Census provided denominator data. Neighborhood admission distribution inequality was assessed by the use of Gini and Robin Hood indices. Associations between neighborhood rates and socioeconomic and environmental factors were assessed using ANOVA and linear regression.

resultsThe county admission rate was 5.1 per 1000 children. Neighborhood rates varied significantly by quintile: 17.6, 7.7, 4.9, 2.2, and 0.2 admissions per 1000 children (P < .0001). Fifteen neighborhoods containing 8% of the population had zero admissions. The Gini index of 0.52 and Robin Hood index of 0.38 indicated significant inequality. Neighborhood-level educational attainment, car access, and population density best explained variation in neighborhood admission rates (R(2) = 0.55).

conclusionIn a single year, asthma admission rates varied 88-fold across neighborhood quintiles in one county; a reduction of the county-wide admission rate to that of the bottom quintile would decrease annual admissions from 862 to 34. A rate of zero was present in 15 neighborhoods, which is evidence of what may be attainable.

Indexed as

AdolescentAsthmaChildChild, PreschoolCohort StudiesFemaleHealthcare DisparitiesHumansInfantMaleOhioPatient AdmissionProspective StudiesSocioeconomic FactorsCCHMCCincinnati Children's Hospital Medical CenterGCARSGreater Cincinnati Asthma Risks StudySESSocioeconomic status

Identifiers

PMID23522864
PMCPMC3746008
OpenAlexW2101045741

What OpenQuestion holds

Textmetadata
LicenceTDM
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.