Evidence map›Paper›PMID 30563729›Full record

ArticleAnnals of epidemiology2019

Material community deprivation and hospital utilization during the first year of life: an urban population-based cohort study.

Cole Brokamp, Andrew F Beck, Neera K Goyal, Patrick Ryan, James M Greenberg, Eric S Hall

Abstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing 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

158 citing papers in PubMed.

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  6. Breast cancer polygenic risk score performance varies by socioeconomic status.medRxiv : the preprint server for health sciences · 2026
    Article
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  8. Material economic hardships are associated with second-year hospitalizations after pediatric liver transplantation: Results from the SOCIAL-Tx study.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
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  17. PMEnvironment & health (Washington, D.C.) · 2026
    Article
  18. Analysis of a PCORnetCommunications medicine · 2026
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98 more citing papers are in PubMed but not listed here.

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.

Cole BrokampDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. Electronic address: cole.brokamp@cchmc.org.
Andrew F BeckDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Divisions of General and Community Pediatrics and Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Neera K GoyalDepartment of Pediatrics, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA; Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE.
Patrick RyanDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
James M GreenbergDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Eric S HallDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Inpatient Asthma Care for Children: Adding a Place-Based, Community-Focused ApproK23AI112916 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI BECK, ANDREW FINKEL · 2014 to 2018
$721k
NCATS NIH HHS UL1 TR001425NIAID NIH HHS K23 AI112916
6 · The paper itself

Abstract

purposeThe purpose of the study was to conduct an individual-level analysis of hospital utilization during the first year of life to test the hypothesis that community material deprivation increases health care utilization.

methodsWe used a population-based perinatal data repository based on linkage of electronic health records from regional delivery hospitals to subsequent hospital utilization at the region's only dedicated children's hospital. Zero-inflated Poisson and Cox proportional hazards regression models were used to quantify the causal role of a census tract-based deprivation index on the total number, length, and time until hospital utilization during the first year of life.

resultsAfter adjusting for any neonatal intensive care unit admission, chronic complex conditions, race and ethnicity, insurance status, birth season, and very low birth weight, we found that a 10% increase in the deprivation index caused a 1.032-fold increase (95% confidence interval (CI), [1.025-1.040]) in post initial hospitalization length of stay, a 1.011-fold increase (95% CI, [1.002-1.021]) in number of post initial hospital encounters, and 1.022-fold increase (95% CI, [1.009-1.035]) in hazard for hospitalization utilization during the first year of life.

conclusionsInterventions designed to reduce material deprivation and income inequalities could significantly reduce infant hospital utilization.

Indexed as

PovertyResidence CharacteristicsSocioeconomic FactorsDelivery of Health CareElectronic Health RecordsFemaleHospitalizationHospitalsHumansInfantInsurance, HealthLength of StayMalePopulation SurveillanceProportional Hazards ModelsPublic AssistanceElectronic health recordsHospitalizationInfantSocioeconomic factors

Identifiers

PMID30563729
PMCPMC6370517

What OpenQuestion holds

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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.