Evidence map›Paper›PMID 27130168›Full record

ArticleBMJ open2016

Examining the social determinants of children's developmental health: protocol for building a pan-Canadian population-based monitoring system for early childhood development.

Martin Guhn, Magdalena Janus, Jennifer Enns, Marni Brownell, Barry Forer, Eric Duku, Nazeem Muhajarine, Rob Raos

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Expanding Research on Contextual Factors in Autism Research: What Took Us So Long?Autism research : official journal of the International Society for Autism Research · 2025
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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.

Martin GuhnHuman Early Learning Partnership, School of Population and Public Health, University of British Columbia, Vancouver, Canada.
Magdalena JanusOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Jennifer EnnsManitoba Centre for Health Policy, Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Marni BrownellManitoba Centre for Health Policy, Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Barry ForerHuman Early Learning Partnership, School of Population and Public Health, University of British Columbia, Vancouver, Canada.
Eric DukuOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Nazeem MuhajarineDepartment of Community Health and Epidemiology and Saskatchewan Population Health and Evaluation Research Unit, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Rob RaosOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.

Funding

Canadian Institutes of Health Research FRN 125965
6 · The paper itself

Abstract

introductionEarly childhood is a key period to establish policies and practices that optimise children's health and development, but Canada lacks nationally representative data on social indicators of children's well-being. To address this gap, the Early Development Instrument (EDI), a teacher-administered questionnaire completed for kindergarten-age children, has been implemented across most Canadian provinces over the past 10 years. The purpose of this protocol is to describe the Canadian Neighbourhoods and Early Child Development (CanNECD) Study, the aims of which are to create a pan-Canadian EDI database to monitor trends over time in children's developmental health and to advance research examining the social determinants of health. METHODS AND ANALYSIS: Canada-wide EDI records from 2004 to 2014 (representing over 700,000 children) will be linked to Canada Census and Income Taxfiler data. Variables of socioeconomic status derived from these databases will be used to predict neighbourhood-level EDI vulnerability rates by conducting a series of regression analyses and latent variable models at provincial/territorial and national levels. Where data are available, we will measure the neighbourhood-level change in developmental vulnerability rates over time and model the socioeconomic factors associated with those trends. ETHICS AND DISSEMINATION: Ethics approval for this study was granted by the Behavioural Research Ethics Board at the University of British Columbia. Study findings will be disseminated to key partners, including provincial and federal ministries, schools and school districts, collaborative community groups and the early childhood development research community. The database created as part of this longitudinal population-level monitoring system will allow researchers to associate practices, programmes and policies at school and community levels with trends in developmental health outcomes. The CanNECD Study will guide future early childhood development action and policies, using the database as a tool for formative programme and policy evaluation.

Indexed as

Child DevelopmentChild WelfareResidence CharacteristicsSocial ClassSocial Determinants of HealthCanadaChildChild HealthChild, PreschoolDatabases, FactualFemaleHumansIncomeMalePopulation SurveillanceResearch Designdata linkageearly childhood developmentEarly Development Instrumentsocial determinants of health

Identifiers

PMID27130168
PMCPMC4853992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.