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National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan

BACKGROUND: Characteristics associated with acceptance of dataset linkages and health data linkage data quality were analyzed. METHODS: Participants from the 2011 Taiwan Longitudinal Study on Aging were asked to link their epidemiological data with concurrent and future medical claim datasets. Chara...

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Autores principales: Chiu, Ching-Ju, Huang, Hsiang-Min, Lu, Tsung-Hsueh, Wang, Ying-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276180/
https://www.ncbi.nlm.nih.gov/pubmed/30509280
http://dx.doi.org/10.1186/s12913-018-3738-x
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author Chiu, Ching-Ju
Huang, Hsiang-Min
Lu, Tsung-Hsueh
Wang, Ying-Wei
author_facet Chiu, Ching-Ju
Huang, Hsiang-Min
Lu, Tsung-Hsueh
Wang, Ying-Wei
author_sort Chiu, Ching-Ju
collection PubMed
description BACKGROUND: Characteristics associated with acceptance of dataset linkages and health data linkage data quality were analyzed. METHODS: Participants from the 2011 Taiwan Longitudinal Study on Aging were asked to link their epidemiological data with concurrent and future medical claim datasets. Characteristics associated with acceptance of data linkage, data consistency, under-reporting, and over-reporting of disease conditions were identified. RESULTS: Among the 3727 respondents, 3601 (96.6%) accepted data linkage. Middle-aged adults with worse functional health accepted data linkage. Older adults (65+) with better health behavior and social support were more likely to accept data linkage. Consistency between self-reports and medical data was very good to satisfactory (Kappa = 0.80 and 0.67, respectively, for diabetes and hypertension). Comorbidities were common risk factors resulting in inconsistency between self-reports and medical data (OR = 1.58 and 1.27, respectively, for diabetes and hypertension). Living alone was another risk factor resulting in inconsistency for diabetes. Male, older, and not living alone were other risk factors resulting in inconsistencies for hypertension. Under-reporting of illness was associated with poor health and older age. Over-reporting of illness was associated with better health and younger age. DISCUSSION: The findings suggest different adjustment methods for middle-aged versus older respondents when considering self-report data validity.
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spelling pubmed-62761802018-12-06 National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan Chiu, Ching-Ju Huang, Hsiang-Min Lu, Tsung-Hsueh Wang, Ying-Wei BMC Health Serv Res Research Article BACKGROUND: Characteristics associated with acceptance of dataset linkages and health data linkage data quality were analyzed. METHODS: Participants from the 2011 Taiwan Longitudinal Study on Aging were asked to link their epidemiological data with concurrent and future medical claim datasets. Characteristics associated with acceptance of data linkage, data consistency, under-reporting, and over-reporting of disease conditions were identified. RESULTS: Among the 3727 respondents, 3601 (96.6%) accepted data linkage. Middle-aged adults with worse functional health accepted data linkage. Older adults (65+) with better health behavior and social support were more likely to accept data linkage. Consistency between self-reports and medical data was very good to satisfactory (Kappa = 0.80 and 0.67, respectively, for diabetes and hypertension). Comorbidities were common risk factors resulting in inconsistency between self-reports and medical data (OR = 1.58 and 1.27, respectively, for diabetes and hypertension). Living alone was another risk factor resulting in inconsistency for diabetes. Male, older, and not living alone were other risk factors resulting in inconsistencies for hypertension. Under-reporting of illness was associated with poor health and older age. Over-reporting of illness was associated with better health and younger age. DISCUSSION: The findings suggest different adjustment methods for middle-aged versus older respondents when considering self-report data validity. BioMed Central 2018-12-03 /pmc/articles/PMC6276180/ /pubmed/30509280 http://dx.doi.org/10.1186/s12913-018-3738-x Text en © The Author(s). 2018 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
Chiu, Ching-Ju
Huang, Hsiang-Min
Lu, Tsung-Hsueh
Wang, Ying-Wei
National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title_full National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title_fullStr National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title_full_unstemmed National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title_short National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan
title_sort national health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276180/
https://www.ncbi.nlm.nih.gov/pubmed/30509280
http://dx.doi.org/10.1186/s12913-018-3738-x
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