Evidence map›Paper›PMID 34620134›Full record

ArticleBMC psychiatry2021

Validation of case definitions of depression derived from administrative data against the CIDI-SF as reference standard: results from the PROspective Québec (PROQ) study.

Ana Paula Bruno Pena-Gralle, Denis Talbot, Xavier Trudel, Karine Aubé, Alain Lesage, Sophie Lauzier, Alain Milot, Chantal Brisson

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Ana Paula Bruno Pena-GralleCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada. ana-paula.bruno@crchudequebec.ulaval.ca.
Denis TalbotCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
Xavier TrudelCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
Karine AubéCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
Alain LesageDépartement de Psychiatrie et d'addictologie, Université de Montréal, Montréal, Canada.
Sophie LauzierCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
Alain MilotCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
Chantal BrissonCHU de Québec Research Center, Population Health and Optimal Health Practices Unit, Québec, QC, Canada.
The Quebec Population Health Research Network · CAUniversité Laval · CAUniversité de Montréal · CA

Funding

CIHR MOP-113542
6 · The paper itself

Abstract

backgroundAdministrative data have several advantages over questionnaire and interview data to identify cases of depression: they are usually inexpensive, available for a long period of time and are less subject to recall bias and differential classification errors. However, the validity of administrative data in the correct identification of depression has not yet been studied in general populations. The present study aimed to 1) evaluate the sensitivity and specificity of administrative cases of depression using the validated Composite International Diagnostic Interview - Short Form (CIDI-SF) as reference standard and 2) compare the known-groups validity between administrative and CIDI-SF cases of depression.

methodsThe 5487 participants seen at the last wave (2015-2018) of the PROQ cohort had CIDI-SF questionnaire data linked to hospitalization and medical reimbursement data provided by the provincial universal healthcare provider and coded using the International Classification of Disease. We analyzed the sensitivity and specificity of several case definitions of depression from this administrative data. Their association with known predictors of depression was estimated using robust Poisson regression models.

resultsAdministrative cases of depression showed high specificity (≥ 96%), low sensitivity (19-32%), and rather low agreement (Cohen's kappa of 0.21-0.25) compared with the CIDI-SF. These results were consistent over strata of sex, age and education level and with varying case definitions. In known-groups analysis, the administrative cases of depression were comparable to that of CIDI-SF cases (RR for sex: 1.80 vs 2.03 respectively, age: 1.53 vs 1.40, education: 1.52 vs 1.28, psychological distress: 2.21 vs 2.65).

conclusionThe results obtained in this large sample of a general population suggest that the dimensions of depression captured by administrative data and by the CIDI-SF are partially distinct. However, their known-groups validity in relation to risk factors for depression was similar to that of CIDI-SF cases. We suggest that neither of these data sources is superior to the other in the context of large epidemiological studies aiming to identify and quantify risk factors for depression.

Indexed as

DepressionHumansInfantInterview, PsychologicalProspective StudiesQuebecReference StandardsCohortKnown-groups validityMajor depression, known-groups analysisPopulation-basedPredictive validity

Identifiers

PMID34620134
PMCPMC8496029
OpenAlexW3203836101

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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.