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Accuracy of self-reported history of autoimmune disease: A pilot study

Research associating the increased prevalence of familial autoimmunity with neuropsychiatric disorders is reliant upon the ascertainment of history of autoimmune diseases from relatives. To characterize the accuracy of self-report, we compared self-reported diagnoses of 18 autoimmune diseases using...

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Autores principales: O'Rourke, Julia A., Ravichandran, Caitlin, Howe, Yamini J., Mullett, Jennifer E., Keary, Christopher J., Golas, Sara B., Hureau, Amrita R., McCormick, Morgan, Chung, Jeanhee, Rose, Noel R., McDougle, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541243/
https://www.ncbi.nlm.nih.gov/pubmed/31141520
http://dx.doi.org/10.1371/journal.pone.0216526
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author O'Rourke, Julia A.
Ravichandran, Caitlin
Howe, Yamini J.
Mullett, Jennifer E.
Keary, Christopher J.
Golas, Sara B.
Hureau, Amrita R.
McCormick, Morgan
Chung, Jeanhee
Rose, Noel R.
McDougle, Christopher J.
author_facet O'Rourke, Julia A.
Ravichandran, Caitlin
Howe, Yamini J.
Mullett, Jennifer E.
Keary, Christopher J.
Golas, Sara B.
Hureau, Amrita R.
McCormick, Morgan
Chung, Jeanhee
Rose, Noel R.
McDougle, Christopher J.
author_sort O'Rourke, Julia A.
collection PubMed
description Research associating the increased prevalence of familial autoimmunity with neuropsychiatric disorders is reliant upon the ascertainment of history of autoimmune diseases from relatives. To characterize the accuracy of self-report, we compared self-reported diagnoses of 18 autoimmune diseases using an online self-report questionnaire to the electronic medical record (EMR) diagnoses in 1,013 adult (age 18–70 years) patients of a primary care clinic. For the 11 diseases meeting our threshold observed prevalence, we estimated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for self-reported diagnoses under the assumption that EMR-based diagnoses were accurate. Six diseases out of 11 had either sensitivity or PPV below 50%, with the lowest PPV for dermatological and endocrinological diseases. Common errors included incorrectly self-reporting type 2 diabetes mellitus (DM), when type 1 DM was indicated by the EMR, and reporting rheumatoid arthritis when osteoarthritis was indicated by the EMR. Results suggest that ascertainment of familial autoimmunity through self-report contributes to inconsistencies and inaccuracies in studies of autoimmune disease history and that future studies would benefit from incorporating EMR review and biological measures.
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spelling pubmed-65412432019-06-05 Accuracy of self-reported history of autoimmune disease: A pilot study O'Rourke, Julia A. Ravichandran, Caitlin Howe, Yamini J. Mullett, Jennifer E. Keary, Christopher J. Golas, Sara B. Hureau, Amrita R. McCormick, Morgan Chung, Jeanhee Rose, Noel R. McDougle, Christopher J. PLoS One Research Article Research associating the increased prevalence of familial autoimmunity with neuropsychiatric disorders is reliant upon the ascertainment of history of autoimmune diseases from relatives. To characterize the accuracy of self-report, we compared self-reported diagnoses of 18 autoimmune diseases using an online self-report questionnaire to the electronic medical record (EMR) diagnoses in 1,013 adult (age 18–70 years) patients of a primary care clinic. For the 11 diseases meeting our threshold observed prevalence, we estimated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for self-reported diagnoses under the assumption that EMR-based diagnoses were accurate. Six diseases out of 11 had either sensitivity or PPV below 50%, with the lowest PPV for dermatological and endocrinological diseases. Common errors included incorrectly self-reporting type 2 diabetes mellitus (DM), when type 1 DM was indicated by the EMR, and reporting rheumatoid arthritis when osteoarthritis was indicated by the EMR. Results suggest that ascertainment of familial autoimmunity through self-report contributes to inconsistencies and inaccuracies in studies of autoimmune disease history and that future studies would benefit from incorporating EMR review and biological measures. Public Library of Science 2019-05-29 /pmc/articles/PMC6541243/ /pubmed/31141520 http://dx.doi.org/10.1371/journal.pone.0216526 Text en © 2019 O'Rourke et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
O'Rourke, Julia A.
Ravichandran, Caitlin
Howe, Yamini J.
Mullett, Jennifer E.
Keary, Christopher J.
Golas, Sara B.
Hureau, Amrita R.
McCormick, Morgan
Chung, Jeanhee
Rose, Noel R.
McDougle, Christopher J.
Accuracy of self-reported history of autoimmune disease: A pilot study
title Accuracy of self-reported history of autoimmune disease: A pilot study
title_full Accuracy of self-reported history of autoimmune disease: A pilot study
title_fullStr Accuracy of self-reported history of autoimmune disease: A pilot study
title_full_unstemmed Accuracy of self-reported history of autoimmune disease: A pilot study
title_short Accuracy of self-reported history of autoimmune disease: A pilot study
title_sort accuracy of self-reported history of autoimmune disease: a pilot study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541243/
https://www.ncbi.nlm.nih.gov/pubmed/31141520
http://dx.doi.org/10.1371/journal.pone.0216526
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