Evidence map›Paper›PMID 35649589›Full record

Observational studyBMJ open2022

Understanding geographical variations in health system performance: a population-based study on preventable childhood hospitalisations.

Pushkar Raj Silwal, Daniel Exeter, Tim Tenbensel, Arier Lee

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Pushkar Raj SilwalHealth Systems Department, The University of Auckland, Auckland, New Zealand p.silwal@auckland.ac.nz.ORCID 0000-0001-6100-090X
Daniel ExeterSection of Epidemiology and Biostatistics, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-1061-5925
Tim TenbenselHealth Systems Department, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7832-3318
Arier LeeSection of Epidemiology and Biostatistics, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9142-9264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate interdistrict variations in childhood ambulatory sensitive hospitalisation (ASH) over the years.

designObservational population-based study over 2008-2018 using the Primary Health Organisation Enrolment Collection (PHO) and the National Minimum Dataset hospital events databases.

settingNew Zealand primary and secondary care.

participantsAll children aged 0-4 years enrolled in the PHO Enrolment Collection from 2008 to 2018.

main outcome measureASH.

resultsOnly 1.4% of the variability in the risk of having childhood ASH (intracluster correlation coefficient=0.014) is explained at the level of District Health Board (DHB), with the median OR of 1.23. No consistent time trend was observed for the adjusted childhood ASH at the national level, but the DHBs demonstrated different trajectories over the years. Ethnicity (being a Pacific child) followed by deprivation demonstrated stronger relationships with childhood ASH than the geography and the health system input variables.

conclusionThe variation in childhood ASH is explained only minimal at the DHB level. The sociodemographic variables also only partly explained the variations. Unlike the general ASH measure, the childhood ASH used in this analysis provides insights into the acute conditions sensitive to primary care services. However, further information would be required to conclude this as the DHB-level performance variations.

Indexed as

HospitalizationMedical AssistanceChildEthnicityGeographyGovernment ProgramsHumanscommunity child healthhealth policyprimary carepublic health

Identifiers

PMID35649589
PMCPMC9161092

What OpenQuestion holds

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LicenceCC BY-NC
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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.