Evidence map›Paper›PMID 40200992›Full record

ArticleInternational journal of population data science2024

A maternal and child health administrative cohort in Scotland: the utility of linked administrative data for understanding early years' outcomes and inequalities.

Paul Henery, Ruth Dundas, Srinivasa Vittal Katikireddi, Alastair H Leyland, Lynda Fenton, Sonya Scott, Claire Cameron, Anna Pearce

Abstract read
In one paragraph

Article in International journal of population data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Paul HeneryMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB.
Ruth DundasMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB.
Lynda FentonPublic Health Scotland, Glasgow, G2 6QE.
Sonya ScottPublic Health Scotland, Glasgow, G2 6QE.
Claire CameronPublic Health Scotland, Glasgow, G2 6QE.
Anna PearceMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The early years are considered one of the most impactful points in the life course to intervene to improve population health and reduce health inequalities because, for example, both ill health and social disadvantage can track into adulthood. Scotland's outstanding systems for data linkage offer untapped potential to further our understanding of when and why inequalities in child health, development and wellbeing emerge. This understanding is vital for the consideration of policy options for their reduction. Methods: Birth registrations, hospital episodes, dispensed community prescriptions, child health reviews and immunisation records were linked for 198,483 mother-child pairs for babies born in Scotland from October 2009 to the end of March 2013, followed up until April 2018 (average age 6 years). Results: Outcomes include birthweight and newborn health, dispensed prescriptions for mental health medications, tobacco smoke exposure, infant feeding, immunisations, hospitalisation for unintentional injuries, socio-emotional, cognitive and motor development, and overweight and obesity. Several measures are repeated throughout childhood allowing examination of timing, change and persistence. Socio-economic circumstances (SECs) include neighbourhood deprivation, relationship status of the parents, and occupational status. Descriptive analyses highlight large inequalities across all outcomes. Inequalities are greater when measured by family-level as opposed to area-level, aspects of socio-economic circumstances and for persistent or more severe outcomes. For example, 41.4% of the most disadvantaged children (living with a lone, economically inactive mother in the most deprived fifth of areas) were exposed to tobacco smoke in utero and in infancy/toddlerhood compared to <1% in the least disadvantaged children (living with a married, managerial/professional mother in the least deprived quintile of areas). Conclusion: This novel linkage provides a longitudinal picture of health throughout the early years and how this varies according to family- and area-level measures of SECs. Future linkages could include other family members (e.g. siblings, grandmothers) and other sectors (e.g. education, social care). The creation of additional cohorts would allow for long-term and efficient evaluation of policies as natural experiments.

Indexed as

Child HealthHealth Status DisparitiesMaternal HealthAdultChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleScotlandSocioeconomic Factorsadmin datachild healthcohortinequalitiesmaternal health

Identifiers

PMID40200992
PMCPMC11977605

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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.