Evidence map›Paper›PMID 30616546›Full record

ArticleBMC psychiatry2019

Validation of a case definition for depression in administrative data against primary chart data as a reference standard.

Chelsea Doktorchik, Scott Patten, Cathy Eastwood, Mingkai Peng, Guanmin Chen, Cynthia A Beck, Nathalie Jetté, Tyler Williamson, Hude Quan

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
18.1field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 138 citations in OpenAlex.

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27 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Chelsea DoktorchikDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. ctadokto@ucalgary.ca.ORCID 0000-0003-3051-6780
Scott PattenDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Cathy EastwoodDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Mingkai PengDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Guanmin ChenDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Cynthia A BeckDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, 1403-29 Street NW, Calgary, AB, T2N 2T9, Canada.
Nathalie JettéDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Tyler WilliamsonDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Hude QuanDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building 3rd Floor 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause the collection of mental health information through interviews is expensive and time consuming, interest in using population-based administrative health data to conduct research on depression has increased. However, there is concern that misclassification of disease diagnosis in the underlying data might bias the results. Our objective was to determine the validity of International Classification of Disease (ICD)-9 and ICD-10 administrative health data case definitions for depression using review of family physician (FP) charts as the reference standard.

methodsTrained chart reviewers reviewed 3362 randomly selected charts from years 2001 and 2004 at 64 FP clinics in Alberta (AB) and British Columbia (BC), Canada. Depression was defined as presence of either: 1) documentation of major depressive episode, or 2) documentation of specific antidepressant medication prescription plus recorded depressed mood. The charts were linked to administrative data (hospital discharge abstracts and physician claims data) using personal health numbers. Validity indices were estimated for six administrative data definitions of depression using three years of administrative data.

resultsDepression prevalence by chart review was 15.9-19.2% depending on year, region, and province. An ICD administrative data definition of '2 depression claims with depression ICD codes within a one-year window OR 1 discharge abstract data (DAD) depression diagnosis' had the highest overall validity, with estimates being 61.4% for sensitivity, 94.3% for specificity, 69.7% for positive predictive value, and 92.0% for negative predictive value. Stratification of the validity parameters for this case definition showed that sensitivity was fairly consistent across groups, however the positive predictive value was significantly higher in 2004 data compared to 2001 data (78.8 and 59.6%, respectively), and in AB data compared to BC data (79.8 and 61.7%, respectively).

conclusionsSensitivity of the case definition is often moderate, and specificity is often high, possibly due to undercoding of depression. Limitations to this study include the use of FP charts data as the reference standard, given the potential for missed or incorrect depression diagnoses. These results suggest that that administrative data can be used as a source of information for both research and surveillance purposes, while remaining aware of these limitations.

Indexed as

AdultAgedAlbertaBritish ColumbiaDatabases, FactualFemaleHumansInternational Classification of DiseasesMajor Depressive DisorderMaleMedical RecordsMiddle AgedPatient DischargePrevalenceRandom AllocationReference StandardsAdministrative dataCase definitionsDepressionDepressive disorderHealth informationInternational disease classificationSurveillance

Identifiers

PMID30616546
PMCPMC6323719
OpenAlexW2941590297

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.