Evidence map›Paper›PMID 40177389›Full record

ArticleLancet regional health. Americas2025

Inequalities in paediatric hospitalisations for costly and prevalent conditions in Ontario, Canada: a population-based cohort study.

Peter J Gill, Thaksha Thavam, Jingqin Zhu, Cornelia M Borkhoff, Patricia C Parkin, Eyal Cohen, Teresa To, Sanjay Mahant, Ontario Pediatric Hospital Care Study Group (OPHCSG), Canadian Paediatric Inpatient Research Network (PIRN)

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Peter J GillThe Hospital for Sick Children, Toronto, Ontario, Canada.
Thaksha ThavamChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Jingqin ZhuChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Cornelia M BorkhoffThe Hospital for Sick Children, Toronto, Ontario, Canada.
Patricia C ParkinThe Hospital for Sick Children, Toronto, Ontario, Canada.
Eyal CohenThe Hospital for Sick Children, Toronto, Ontario, Canada.
Teresa ToThe Hospital for Sick Children, Toronto, Ontario, Canada.
Sanjay MahantThe Hospital for Sick Children, Toronto, Ontario, Canada.
Ontario Pediatric Hospital Care Study Group (OPHCSG)
Canadian Paediatric Inpatient Research Network (PIRN)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Identifying inequalities is important for informing research, and policy efforts to reduce health disparities. This study measured the inequalities in hospitalisations for the costly and prevalent conditions in hospitalised children using association estimates. Methods: Population-based cohort study using health administrative databases in Ontario, Canada between 2014 and 2019. The hospitalisation rate was determined for the costly and prevalent conditions in children. Hospitalisation inequalities by four equity stratifiers (material resources, rurality, sex, and immigrant status) were quantified using rate difference (RD), rate ratio (RR), and ratio of excess to total hospitalisation rate. Multivariable logistic regression analyses were also conducted. Findings: In a population of 3·7 million children (median age 7·0 years, Interquartile range: 1·0-12·0), there were 612,597 hospitalisations. Large inequalities comparing children among least versus most resourced quintile was observed in low birth weight (RD: 1,823·3 hospitalisations per 100,000 children, 95% CI: 1,662·7, 1,983·9). Conditions with large inequalities comparing rural versus urban areas included low birth weight (RD: -1,833·2 hospitalisations per 100,000, 95% CI: -2,012·8, -1,653·6); and drug withdrawal syndrome in newborn (RR: 1·9, 95% CI: 1·7, 2·1; adjusted odds ratio (aOR): 1·4, 95% CI: 1·2, 1·5). Conditions with large inequalities comparing males versus females included low birth weight (RD: -888·3 hospitalisations per 100,000, 95% CI: -992·5, -784·02); and anorexia nervosa (RR: 0·08, 95% CI: 0·07, 0·10; aOR: 0·1, 95% CI: 0.1, 0.1). Conditions with large inequalities comparing non-refugee immigrants versus non-immigrants included major depressive disorder (RR: 2·8, 95% CI: 2·7, 2·9), and comparing refugees versus non-immigrants included drug withdrawal syndrome in newborn (RR: 0·09, 95% CI: 0·05, 0·15). Results from multivariable analyses were similar. Interpretation: Newborn and mental health conditions had the largest inequalities in hospitalisations by the equity stratifiers. Findings from this study can be used to prioritise future health equity research to reduce health inequalities. Funding: PSI Foundation.

Indexed as

Health inequalitiesHospitalisationImmigrant statusPaediatricRuralitySexSocioeconomic status

Identifiers

PMID40177389
PMCPMC11964682

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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.