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Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry

BACKGROUND: Although many studies have investigated agreement between survey and hospitalization data for disease prevalence, it is unknown whether exposure-chronic disease associations vary based on data collection method. We investigated agreement between self-report and administrative data for th...

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Autores principales: Alper, Howard E., Brite, Jennifer, Cone, James E., Brackbill, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353750/
https://www.ncbi.nlm.nih.gov/pubmed/34376145
http://dx.doi.org/10.1186/s12874-021-01358-y
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author Alper, Howard E.
Brite, Jennifer
Cone, James E.
Brackbill, Robert M.
author_facet Alper, Howard E.
Brite, Jennifer
Cone, James E.
Brackbill, Robert M.
author_sort Alper, Howard E.
collection PubMed
description BACKGROUND: Although many studies have investigated agreement between survey and hospitalization data for disease prevalence, it is unknown whether exposure-chronic disease associations vary based on data collection method. We investigated agreement between self-report and administrative data for the following: 1) disease prevalence, and 2) the accuracy of self-reported hospitalization in the last 12 months, and 3) the association of seven chronic diseases (rheumatoid arthritis, hypertension, heart attack, stroke, asthma, diabetes, hyperlipidemia) with four measures of 9/11 exposure. METHODS: Enrollees of the World Trade Center Health Registry who resided in New York State were included (N = 18,206). Hospitalization data for chronic diseases were obtained from the New York State Planning and Research Cooperative System (SPARCS). Prevalence for each disease and concordance measures (kappa, sensitivity, specificity, positive agreement, and negative agreement) were calculated. In addition, the associations of the seven chronic diseases with the four measures of exposure were evaluated using logistic regression. RESULTS: Self-report disease prevalence ranged from moderately high (40.5% for hyperlipidemia) to low (3.8% for heart attack). Self-report prevalence was at least twice that obtained from administrative data for all seven chronic diseases. Kappa ranged from 0.35 (stroke) to 0.04 (rheumatoid arthritis). Self-reported hospitalizations within the last 12 months showed little overlap with actual hospitalization data. Agreement for exposure-disease associations was good over the twenty-eight exposure-disease pairs studied. CONCLUSIONS: Agreement was good for exposure-disease associations, modest for disease prevalence, and poor for self-reported hospitalizations. Neither self-report nor administrative data can be treated as the “gold standard.” Which source to use depends on the availability and context of data, and the disease under study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01358-y.
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spelling pubmed-83537502021-08-10 Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry Alper, Howard E. Brite, Jennifer Cone, James E. Brackbill, Robert M. BMC Med Res Methodol Research BACKGROUND: Although many studies have investigated agreement between survey and hospitalization data for disease prevalence, it is unknown whether exposure-chronic disease associations vary based on data collection method. We investigated agreement between self-report and administrative data for the following: 1) disease prevalence, and 2) the accuracy of self-reported hospitalization in the last 12 months, and 3) the association of seven chronic diseases (rheumatoid arthritis, hypertension, heart attack, stroke, asthma, diabetes, hyperlipidemia) with four measures of 9/11 exposure. METHODS: Enrollees of the World Trade Center Health Registry who resided in New York State were included (N = 18,206). Hospitalization data for chronic diseases were obtained from the New York State Planning and Research Cooperative System (SPARCS). Prevalence for each disease and concordance measures (kappa, sensitivity, specificity, positive agreement, and negative agreement) were calculated. In addition, the associations of the seven chronic diseases with the four measures of exposure were evaluated using logistic regression. RESULTS: Self-report disease prevalence ranged from moderately high (40.5% for hyperlipidemia) to low (3.8% for heart attack). Self-report prevalence was at least twice that obtained from administrative data for all seven chronic diseases. Kappa ranged from 0.35 (stroke) to 0.04 (rheumatoid arthritis). Self-reported hospitalizations within the last 12 months showed little overlap with actual hospitalization data. Agreement for exposure-disease associations was good over the twenty-eight exposure-disease pairs studied. CONCLUSIONS: Agreement was good for exposure-disease associations, modest for disease prevalence, and poor for self-reported hospitalizations. Neither self-report nor administrative data can be treated as the “gold standard.” Which source to use depends on the availability and context of data, and the disease under study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01358-y. BioMed Central 2021-08-10 /pmc/articles/PMC8353750/ /pubmed/34376145 http://dx.doi.org/10.1186/s12874-021-01358-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Alper, Howard E.
Brite, Jennifer
Cone, James E.
Brackbill, Robert M.
Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title_full Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title_fullStr Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title_full_unstemmed Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title_short Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
title_sort comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353750/
https://www.ncbi.nlm.nih.gov/pubmed/34376145
http://dx.doi.org/10.1186/s12874-021-01358-y
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