Evidence map›Paper›PMID 37524521›Full record

ArticleFamily medicine and community health2023

Comparison of associations of household-level and neighbourhood-level poverty markers with paediatric asthma care utilisation by race/ethnicity in an open cohort of community health centre patients.

Jennifer A Lucas, Miguel Marino, Steffani R Bailey, Audree Hsu, Roopradha Datta, Erika Cottrell, Ye Ji Kim, Shakira F Suglia, Andrew Bazemore, John Heintzman

Open access · diamondAbstract read
In one paragraph

Article in Family medicine and community health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 4 institutions in 1 country.

Jennifer A LucasDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA lucasje@ohsu.edu.ORCID 0000-0002-2895-9809
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Steffani R BaileyDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Audree HsuCalifornia University of Science and Medicine, Colton, California, USA.
Roopradha DattaDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Erika CottrellOCHIN Inc, Portland, Oregon, USA.
Ye Ji KimDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Shakira F SugliaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Andrew BazemoreAmerican Board of Family Medicine, Lexington, Kentucky, USA.
John HeintzmanDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Oregon Health & Science University · USEmory University · USAmerican Academy of Family Physicians · USOchin · US

Funding

BACKGROUND: Bettering Asthma Care in Kids - Geographic Social Determinants Data to Understand DisparitiesR01MD011404 · NIMHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2017 to 2021
$2.5M
NIMHD NIH HHS R01 MD011404
6 · The paper itself

Abstract

objectiveThe objective of this research was to examine how different measurements of poverty (household-level and neighborhood-level) were associated with asthma care utilisation outcomes in a community health centre setting among Latino, non-Latino black and non-Latino white children. DESIGN, SETTING AND

participantsWe used 2012-2017 electronic health record data of an open cohort of children aged <18 years with asthma from the OCHIN, Inc. network. Independent variables included household-level and neighborhood-level poverty using income as a percent of federal poverty level (FPL). Covariate-adjusted generalised estimating equations logistic and negative binomial regression were used to model three outcomes: (1) ≥2 asthma visits/year, (2) albuterol prescription orders and (3) prescription of inhaled corticosteroids over the total study period.

resultsThe full sample (n=30 196) was 46% Latino, 26% non-Latino black, 31% aged 6-10 years at first clinic visit. Most patients had household FPL <100% (78%), yet more than half lived in a neighbourhood with >200% FPL (55%). Overall, neighbourhood poverty (<100% FPL) was associated with more asthma visits (covariate-adjusted OR 1.26, 95% CI 1.12 to 1.41), and living in a low-income neighbourhood (≥100% to <200% FPL) was associated with more albuterol prescriptions (covariate-adjusted rate ratio 1.07, 95% CI 1.02 to 1.13). When stratified by race/ethnicity, we saw differences in both directions in associations of household/neighbourhood income and care outcomes between groups.

conclusionsThis study enhances understanding of measurements of race/ethnicity differences in asthma care utilisation by income, revealing different associations of living in low-income neighbourhoods and households for Latino, non-Latino white and non-Latino black children with asthma. This implies that markers of family and community poverty may both need to be considered when evaluating the association between economic status and healthcare utilisation. Tools to measure both kinds of poverty (family and community) may already exist within clinics, and can both be used to better tailor asthma care and reduce disparities in primary care safety net settings.

Indexed as

AsthmaEthnicityAlbuterolChildHumansIncomePovertyAlbuterolchild health serviceshealthcare disparitiesprimary health caresocial determinants of health

Identifiers

PMID37524521
PMCPMC10391793
OpenAlexW4385412048

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.