Evidence map›Paper›PMID 38908569›Full record

ArticlePreventive medicine2024

Patterns and drivers of disparities in pediatric asthma outcomes among Medicaid-enrolled children living in subsidized housing in NYC.

Andrea R Titus, Kelly Terlizzi, Sarah Conderino, Lan N Ðoàn, Byoungjun Kim, Lorna E Thorpe

Abstract read
In one paragraph

Article in Preventive medicine, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Andrea R TitusDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America. Electronic address: Andrea.Titus@nyulangone.org.
Kelly TerlizziDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America.
Sarah ConderinoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America.
Lan N ÐoànDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America.
Byoungjun KimDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, United States of America.
Lorna E ThorpeDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America.

Funding

ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterOT2HL156812 · NHLBI · RESEARCH TRIANGLE INSTITUTE · PI NOLEN, TRACY L, THOMAS, SONIA M · 2020 to 2024
$1270.7M
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
Evaluation of Smoke-Free Housing Policy Impacts on Tobacco Smoke Exposure and Health OutcomesR01CA220591 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHELLEY, DONNA R, THORPE, LORNA · 2018 to 2023
$8.1M
NCI NIH HHS R01 CA220591NHLBI NIH HHS OT2 HL156812NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

objectiveThere are persistent disparities in pediatric asthma morbidity in the U.S. We linked claims data with information on neighborhood-level risk factors to explore drivers of asthma disparities among Medicaid-enrolled children in New York City subsidized housing.

methodsWe constructed a cohort of Medicaid-enrolled children living in public or other subsidized housing, based on residential address, in NYC between 2016 and 2019 (n = 108,969). We examined claims-derived asthma prevalence across age and racial and ethnic groups, integrating census tract-level information and using the Bayesian Improved Surname Geocoding (BISG) algorithm to address high rates of missing data in self-reported race and ethnicity. We used inverse probability weighting (IPW) to explore the extent to which disparities persisted when exposure to asthma risk factors - related to the built environment, neighborhood poverty, and air quality - were balanced across groups. This analysis was conducted in 2022-2023.

resultsClaims-derived asthma prevalence was highest among children <7 years at baseline and among non-Hispanic Black and Hispanic children. For example, among children aged 3-6 years at baseline, claims-derived prevalence was 17.3% and 18.1% among non-Hispanic Black and Hispanic children, respectively, compared to 9.3% and 9.0% among non-Hispanic White and non-Hispanic Asian American/Pacific Islander children. Using IPW to balance exposure to asthma risk factors across racial and ethnic groups attenuated, but did not eliminate, disparities in asthma prevalence.

conclusionsWe found high asthma burden among children living in subsidized housing. Modifiable place-based characteristics may be important contributors to pediatric asthma disparities.

Indexed as

AsthmaMedicaidAdolescentChildChild, PreschoolEthnicityFemaleHealth Status DisparitiesHumansInfantMaleNeighborhood CharacteristicsNew York CityPrevalencePublic HousingRacial GroupsAir pollutionAsthmaHealth disparitiesHousingPediatric health

Identifiers

PMID38908569
PMCPMC11555666

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Registered trials

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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.