Evidence map›Paper›PMID 32935014›Full record

ArticleInternational journal of population data science2018

A Pan-Canadian Data Resource for Monitoring Child Developmental Health: The Canadian Neighbourhoods and Early Child Development (CanNECD) Database.

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

Abstract read
In one paragraph

Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Canadian Neighbourhoods and Early Child Development (CanNECD) database is a unique resource for research on child developmental health and well-being within the socioeconomic and cultural context of Canadian neighbourhoods. This paper describes the CanNECD database and highlights its potential for advancing research at the intersection of child development, social determinants of health, and neighbourhood effects. The CanNECD database contains cross-sectional population-level child developmental health data from all across Canada collected through regional implementation of the Early Development Instrument (EDI), geo-coded information on residential neighbourhoods covering all of Canada, and socioeconomic and demographic variables from the Canada Census and Income Taxfiler database. Individuals are not identified in the database, as no identifying information, such as names and addresses, is attached to the EDI record. At data collection, each individual child is given a unique number which is a combination of site, school, and position on a class list. Each neighbourhood receives a unique identifier which then is linkable across datasets. The nearly 800,000 EDI records spanning 2003-2014 and representing all Canadian provinces and territories (with the exception of Nunavut) are compiled in a secure electronic collection system at the Offord Centre for Child Studies, McMaster University in Hamilton, Canada. Early studies using the EDI demonstrated its utility as a tool for assessing child developmental health at a population level, and its potential for both community-level and large-scale monitoring of child populations. Research using the CanNECD database is now examining to what extent social determinants and the steepness of the social gradients of developmental health differ between geographical jurisdictions and between different sub-populations. We are also working to identify outlier neighbourhoods in which EDI scores are substantially higher or lower than predicted by a neighbourhood's demographic and socioeconomic characteristics, and exploring other potentially important determinants of children's developmental health. Finally, we are examining the extent to which change-over-time in aggregate EDI scores varies geographically, and how well it coincides with changes in socioeconomic factors. Thus, the CanNECD database offers the opportunity for research that will inform national policies and strategies on child developmental health.

Identifiers

PMID32935014
PMCPMC7479929

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LicenceCC BY-NC-ND
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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.