Evidence map›Paper›PMID 25986640›Full record

ArticleBMJ open2015

What factors contribute to positive early childhood health and development in Australian Aboriginal children? Protocol for a population-based cohort study using linked administrative data (The Seeding Success Study).

Kathleen Falster, Louisa Jorm, Sandra Eades, John Lynch, Emily Banks, Marni Brownell, Rhonda Craven, Kristjana Einarsdóttir, Deborah Randall, Seeding Success Investigators

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Kathleen FalsterNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia The Sax Institute, Sydney, Australia Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Louisa JormCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia Centre for Health Research, School of Medicine, University of Western Sydney, Campbelltown, Australia.
Sandra EadesBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
John LynchSchool of Population Health, University of Adelaide, Adelaide, Australia.
Emily BanksNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia The Sax Institute, Sydney, Australia.
Marni BrownellManitoba Centre for Health Policy, University of Manitoba, Winnipeg, Canada.
Rhonda CravenInstitute of Positive Psychology and Education, Australian Catholic University, Sydney, Australia.
Kristjana EinarsdóttirTelethon Kids Institute, University of Western Australia, Perth, Australia.
Deborah RandallCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia Centre for Health Research, School of Medicine, University of Western Sydney, Campbelltown, Australia.
Seeding Success Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAustralian Aboriginal children are more likely than non-Aboriginal children to have developmental vulnerability at school entry that tracks through to poorer literacy and numeracy outcomes and multiple social and health disadvantages in later life. Empirical evidence identifying the key drivers of positive early childhood development in Aboriginal children, and supportive features of local communities and early childhood service provision, are lacking. METHODS AND ANALYSIS: The study population will be identified via linkage of Australian Early Development Census data to perinatal and birth registration data sets. It will include an almost complete population of children who started their first year of full-time school in New South Wales (NSW), Australia, in 2009 and 2012. Early childhood health and development trajectories for these children will be constructed via linkage to a range of administrative data sets relating to birth outcomes, congenital conditions, hospital admissions, emergency department presentations, receipt of ambulatory mental healthcare services, use of general practitioner services, contact with child protection and out-of-home care services, receipt of income assistance and fact of death. Using multilevel modelling techniques, we will quantify the contributions of individual-level and area-level factors to variation in early childhood development outcomes in Aboriginal and non-Aboriginal children. Additionally, we will evaluate the impact of two government programmes that aim to address early childhood disadvantage, the NSW Aboriginal Maternal and Infant Health Service and the Brighter Futures Program. These evaluations will use propensity score matching methods and multilevel modelling. ETHICS AND DISSEMINATION: Ethical approval has been obtained for this study. Dissemination mechanisms include engagement of stakeholders (including representatives from Aboriginal community controlled organisations, policy agencies, service providers) through a reference group, and writing of summary reports for policy and community audiences in parallel with scientific papers.

Indexed as

Child DevelopmentChild HealthAustraliaChildCohort StudiesHealth Services, IndigenousHealth Status DisparitiesHumansMaternal-Child Health ServicesResearch DesignResidence CharacteristicsSocioeconomic FactorsVulnerable PopulationsWhite PeopleEPIDEMIOLOGYPAEDIATRICSPUBLIC HEALTH

Identifiers

PMID25986640
PMCPMC4442193

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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.