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

BACKGROUND: Because 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...

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Autores principales: Doktorchik, Chelsea, Patten, Scott, Eastwood, Cathy, Peng, Mingkai, Chen, Guanmin, Beck, Cynthia A., Jetté, Nathalie, Williamson, Tyler, Quan, Hude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323719/
https://www.ncbi.nlm.nih.gov/pubmed/30616546
http://dx.doi.org/10.1186/s12888-018-1990-6
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author Doktorchik, Chelsea
Patten, Scott
Eastwood, Cathy
Peng, Mingkai
Chen, Guanmin
Beck, Cynthia A.
Jetté, Nathalie
Williamson, Tyler
Quan, Hude
author_facet Doktorchik, Chelsea
Patten, Scott
Eastwood, Cathy
Peng, Mingkai
Chen, Guanmin
Beck, Cynthia A.
Jetté, Nathalie
Williamson, Tyler
Quan, Hude
author_sort Doktorchik, Chelsea
collection PubMed
description BACKGROUND: Because 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. METHODS: Trained 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. RESULTS: Depression 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). CONCLUSIONS: Sensitivity 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.
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spelling pubmed-63237192019-01-10 Validation of a case definition for depression in administrative data against primary chart data as a reference standard Doktorchik, Chelsea Patten, Scott Eastwood, Cathy Peng, Mingkai Chen, Guanmin Beck, Cynthia A. Jetté, Nathalie Williamson, Tyler Quan, Hude BMC Psychiatry Research Article BACKGROUND: Because 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. METHODS: Trained 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. RESULTS: Depression 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). CONCLUSIONS: Sensitivity 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. BioMed Central 2019-01-07 /pmc/articles/PMC6323719/ /pubmed/30616546 http://dx.doi.org/10.1186/s12888-018-1990-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Doktorchik, Chelsea
Patten, Scott
Eastwood, Cathy
Peng, Mingkai
Chen, Guanmin
Beck, Cynthia A.
Jetté, Nathalie
Williamson, Tyler
Quan, Hude
Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title_full Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title_fullStr Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title_full_unstemmed Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title_short Validation of a case definition for depression in administrative data against primary chart data as a reference standard
title_sort validation of a case definition for depression in administrative data against primary chart data as a reference standard
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323719/
https://www.ncbi.nlm.nih.gov/pubmed/30616546
http://dx.doi.org/10.1186/s12888-018-1990-6
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