Evidence map›Paper›PMID 26081585›Full record

ArticleEpidemiology and psychiatric sciences2016

Comparison of the estimated prevalence of mood and/or anxiety disorders in Canada between self-report and administrative data.

S O'Donnell, S Vanderloo, L McRae, J Onysko, S B Patten, L Pelletier

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Trend control charts for multiple sclerosis case definitions.International journal of population data science · 2024
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  12. Ten-Year Trends in Lithium Prescribing in Alberta, Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024
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  13. Article
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  15. Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

S O'DonnellCentre for Chronic Disease Prevention,Public Health Agency of Canada,Ottawa,Ontario,Canada.
S VanderlooCentre for Chronic Disease Prevention,Public Health Agency of Canada,Ottawa,Ontario,Canada.
L McRaeCentre for Chronic Disease Prevention,Public Health Agency of Canada,Ottawa,Ontario,Canada.
J OnyskoCentre for Chronic Disease Prevention,Public Health Agency of Canada,Ottawa,Ontario,Canada.
S B PattenDepartment of Community Health Sciences,Hotchkiss Brain Institute,University of Calgary,Calgary,Alberta,Canada.
L PelletierCentre for Chronic Disease Prevention,Public Health Agency of Canada,Ottawa,Ontario,Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare trends in the estimated prevalence of mood and/or anxiety disorders identified from two data sources (self-report and administrative). Reviewing, synthesising and interpreting data from these two sources will help identify potential factors that underlie the observed estimates and inform public health action.

methodWe used self-reported, diagnosed mood and/or anxiety disorder cases from the Canadian Community Health Survey (CCHS) across a 5-year span (from 2003 to 2009) to estimate the prevalence among the Canadian population aged ≥15 years. We also estimated the prevalence of mood and/or anxiety disorders using the Canadian Chronic Disease Surveillance System (CCDSS), which identified cases using ICD-9/-10-CA codes from physician billing claims and hospital discharge records during the same time period. The prevalence rates for mood and/or anxiety disorders were compared across the CCHS and CCDSS by age and sex for all available years of data from 2003 to 2009. Summary rates were age-standardised to the Canadian population as of 1 October 1991.

resultsIn 2009, the prevalence of mood and/or anxiety disorders was 9.4% using self-reported data v. 11.3% using administrative data. Prevalence rates obtained from administrative data were consistently higher than those from self-report for both men and women. However, due to an increase in the prevalence of self-reported cases, these differences decreased over time (rate ratios for both sexes: 1.6-1.2). Prevalence estimates were consistently higher among females compared with males irrespective of data source. While differences in the prevalence estimates between the two data sources were evident across all age groups, the reduction of these differences was greater among adolescent, young and middle-aged adults compared with those 70 years and older.

conclusionsThe overall narrowing of differences over time reflects a convergence of information regarding the prevalence of mood and/or anxiety disorders trends between self-report and administrative data sources. While the administrative data-based prevalences remained relatively stable, the self-reported prevalences increased over time. These observations may reflect positive societal changes in the perceptions of mental health (declining stigma) and/or increasing mental health literacy. Additional research using non-ecological data is required to further our understanding of the observed findings and trends, including a data linkage exercise permitting a comparison of prevalence estimates and population characteristics from these two data sources both separately and merged.

Indexed as

Self ReportAdolescentAdultAgedAnxiety DisordersCanadaFemaleHealth SurveysHumansMaleMiddle AgedMood DisordersPrevalenceYoung AdultAdministrative dataepidemiologymood and/or anxiety disordersprevalenceself-report datasurveillance

Identifiers

PMID26081585
PMCPMC7137597

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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.