Evidence map›Paper›PMID 27769208›Full record

ArticleBMC pediatrics2016

Inequalities in pediatric avoidable hospitalizations between Aboriginal and non-Aboriginal children in Australia: a population data linkage study.

Kathleen Falster, Emily Banks, Sanja Lujic, Michael Falster, John Lynch, Karen Zwi, Sandra Eades, Alastair H Leyland, Louisa Jorm

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 5 institutions in 2 countries.

Kathleen FalsterNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia. kathleen.falster@anu.edu.au.ORCID 0000-0003-2035-5485
Emily BanksNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Sanja LujicCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Michael FalsterCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
John LynchSchool of Public Health, University of Adelaide, Adelaide, Australia.
Karen ZwiSydney Children's Hospitals Network, Sydney, Australia.
Sandra EadesBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland.
Louisa JormCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
UNSW Sydney · AUAustralian National University · AUBaker Heart and Diabetes Institute · AUMRC/CSO Social and Public Health Sciences Unit · GBThe University of Adelaide · AU

Funding

Chief Scientist Office SPHSU13Medical Research Council MC_UU_12017/13
6 · The paper itself

Abstract

backgroundAustralian Aboriginal children experience a disproportionate burden of social and health disadvantage. Avoidable hospitalizations present a potentially modifiable health gap that can be targeted and monitored using population data. This study quantifies inequalities in pediatric avoidable hospitalizations between Australian Aboriginal and non-Aboriginal children.

methodsThis statewide population-based cohort study included 1 121 440 children born in New South Wales, Australia, between 1 July 2000 and 31 December 2012, including 35 609 Aboriginal children. Using linked hospital data from 1 July 2000 to 31 December 2013, we identified pediatric avoidable, ambulatory care sensitive and non-avoidable hospitalization rates for Aboriginal and non-Aboriginal children. Absolute and relative inequalities between Aboriginal and non-Aboriginal children were measured as rate differences and rate ratios, respectively. Individual-level covariates included age, sex, low birth weight and/or prematurity, and private health insurance/patient status. Area-level covariates included remoteness of residence and area socioeconomic disadvantage.

resultsThere were 365 386 potentially avoidable hospitalizations observed over the study period, most commonly for respiratory and infectious conditions; Aboriginal children were admitted more frequently for all conditions. Avoidable hospitalization rates were 90.1/1000 person-years (95 % CI, 88.9-91.4) in Aboriginal children and 44.9/1000 person-years (44.8-45.1) in non-Aboriginal children (age and sex adjusted rate ratio = 1.7 (1.7-1.7)). Rate differences and rate ratios declined with age from 94/1000 person-years and 1.9, respectively, for children aged <2 years to 5/1000 person-years and 1.8, respectively, for ages 12- < 14 years. Findings were similar for the subset of ambulatory care sensitive hospitalizations, but in contrast, non-avoidable hospitalization rates were almost identical in Aboriginal (10.1/1000 person-years, (9.6-10.5)) and non-Aboriginal children (9.6/1000 person-years (9.6-9.7)).

conclusionsWe observed substantial inequalities in avoidable hospitalizations between Aboriginal and non-Aboriginal children regardless of where they lived, particularly among young children. Policy measures that reduce inequities in the circumstances in which children grow and develop, and improved access to early intervention in primary care, have potential to narrow this gap.

Indexed as

Health Status DisparitiesAdolescentChildChild, PreschoolDatabases, FactualFemaleFollow-Up StudiesHealthcare DisparitiesHospitalizationHumansInfantInfant, NewbornInformation Storage and RetrievalMaleNew South WalesSocioeconomic FactorsAvoidable hospitalisationsChild healthIndigenous healthInequalitiesPreventable hospitalisations

Identifiers

PMID27769208
PMCPMC5073450
OpenAlexW2539440280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.