Evidence map›Paper›PMID 37041484›Full record

ArticleBMC medical research methodology2023

Comparing primary caregivers' reported injury data with routinely recorded injury data to assess predictors of childhood injury.

Luam Ghebreab, Bridget Kool, Arier Lee, Susan Morton

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Luam GhebreabSection of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 507-1001, 22-30 Park Ave, Auckland, New Zealand. luam.ghebreab@auckland.ac.nz.
Bridget KoolSection of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 507-1001, 22-30 Park Ave, Auckland, New Zealand.
Arier LeeSection of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 507-1001, 22-30 Park Ave, Auckland, New Zealand.
Susan MortonDepartment of Social and Community Health, School of Population Health, University of Auckland, Auckland, New Zealand.
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLinking self-reported data collected from longitudinal studies with administrative health records is timely and cost-effective, provides the opportunity to augment information contained in each and can offset some of the limitations of both data sources. The aim of this study was to compare maternal-reported child injury data with administrative injury records and assess the level of agreement.

methodsA deterministic linkage was undertaken to link injury-related data from the Growing up in New Zealand (GUiNZ) study to routinely collected injury records from New Zealand's Accident Compensation Corporation (ACC) for preschool children. The analyses compared: (i) the characteristics of mothers with linked data vs. those without, (ii) injury incidences from maternal recall with those recorded in ACC injury claims, and (iii) the demographic characteristics of concordant and discordant injury reports, including the validity and reliability of injury records from both data sources.

resultsOf all mothers who responded to the injury questions in the GUiNZ study (n = 5836), more than 95% (n = 5637) agreed to have their child's record linked to routine administrative health records. The overall discordance in injury reports showed an increasing trend as children grew older (9% at 9 M to 29% at 54 M). The mothers of children with discordance between maternal injury reports and ACC records were more likely to be younger, of Pacific ethnicity, with lower educational attainment, and live in areas of high deprivation (p < 0.001). The level of agreement between maternal injury recall and ACC injury record decreased (κ = 0.83 to κ = 0.42) as the cohort moved through their preschool years.

conclusionsIn general, the findings of this study identified that there was underreporting and discordance of the maternal injury recall, which varied by the demographic characteristics of mothers and their child's age. Therefore, linking the routinely gathered injury data with maternal self-report child injury data has the potential to augment longitudinal birth cohort study data to investigate risk or protective factors associated with childhood injury.

Indexed as

CaregiversMothersChild, PreschoolCohort StudiesFemaleHumansLongitudinal StudiesReproducibility of ResultsChild injuryData linkingLongitudinal cohortMaternal recall

Identifiers

PMID37041484
PMCPMC10088216
OpenAlexW4364379871

What OpenQuestion holds

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LicenceCC BY
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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.