Evidence map›Paper›PMID 35586920›Full record

ArticleEpidemiology and psychiatric sciences2022

Estimating prevalence of child and youth mental disorder and mental health-related service contacts: a comparison of survey data and linked administrative health data.

L Duncan, K Georgiades, L Wang, J Edwards, J Comeau

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

5 authors.

L DuncanOfford Centre for Child Studies, Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0001-7120-6629
K GeorgiadesOfford Centre for Child Studies, Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
L WangOfford Centre for Child Studies, Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
J EdwardsOfford Centre for Child Studies, Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
J ComeauOfford Centre for Child Studies, Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.

Funding

Institute of Human Development, Child and Youth HealthOntario Ministry of Health and Long-Term Care
6 · The paper itself

Abstract

aimsPrevalence estimates of child and youth mental disorder and mental health-related service contacts are needed for policy formulation, research, advocacy and resource allocation. Our aim is to compare prevalence estimates of child and youth mental disorder and mental health-related service contacts derived from general population survey data v. linked administrative health data.

methodsProvincially representative 2014 Ontario Child Health Study data were linked to administrative health records for 5563 children and youth aged 4-17 in Ontario. Emotional disorders (mood and anxiety) and attention-deficit/hyperactivity disorder were assessed using a standardised diagnostic interview in the survey and using diagnostic codes in administrative health data. Physician-based mental health-related service contacts were assessed using parent self-reports from the survey and administrative data related to mental health-related diagnostic codes. Prevalence estimates were calculated and compared based on one-sample z-tests and ratios of survey data to administrative data-based prevalence. Sensitivity, specificity and agreement between classifications were compared using κ. Prevalence estimates were calculated by age, sex and geography sub-groups and consistent group differences across data source were counted.

resultsDisorder prevalence and service contact estimates were significantly higher in survey data in all cases, except for mood disorder. Ratios of survey data to administrative data-based prevalence varied, ranging from 0.80 (mood) to 11.01 (attention-deficit/hyperactivity disorder). Specificity was high (0.98-1.00), sensitivity was low (0.07-0.41) and agreement ranged from slight (κ = 0.13) to moderate (κ = 0.46). Out of 18 sub-group difference comparisons, half were non-significant in either data source. In the remaining nine comparisons, the only significant differences between groups that were consistent across data source were for sex-based differences (attention-deficit/hyperactivity disorder and service contacts). There were no consistent age- or geography-based differences in prevalence across data sources.

conclusionsOur findings suggest that conclusions drawn about prevalence, service contacts and sub-group differences in these estimates are dependent on data source. Further research is needed to understand who and what is being captured by each source. Researchers should conduct data linkage where possible to access and compare multiple sources of information.

Indexed as

Attention Deficit Disorder with HyperactivityMental DisordersMental Health ServicesAdolescentChildHumansMental HealthMood DisordersPrevalenceAdministrative dataepidemiologyhealth servicespopulation surveysprevalence

Identifiers

PMID35586920
PMCPMC9121846

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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.