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Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry

OBJECTIVE: Claims data need to be validated to assess their use for epidemiological research. This study aimed to examine the validity of mortality information in the German Pharmacoepidemiological Research Database (GePaRD). DESIGN: Validation study, secondary data, medical claims. SETTING: Claims...

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Autores principales: Langner, Ingo, Ohlmeier, Christoph, Zeeb, Hajo, Haug, Ulrike, Riedel, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609119/
https://www.ncbi.nlm.nih.gov/pubmed/31270118
http://dx.doi.org/10.1136/bmjopen-2018-028223
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author Langner, Ingo
Ohlmeier, Christoph
Zeeb, Hajo
Haug, Ulrike
Riedel, Oliver
author_facet Langner, Ingo
Ohlmeier, Christoph
Zeeb, Hajo
Haug, Ulrike
Riedel, Oliver
author_sort Langner, Ingo
collection PubMed
description OBJECTIVE: Claims data need to be validated to assess their use for epidemiological research. This study aimed to examine the validity of mortality information in the German Pharmacoepidemiological Research Database (GePaRD). DESIGN: Validation study, secondary data, medical claims. SETTING: Claims data of two German nationwide acting statutory health insurance providers (SHIs) contributing data for GePaRD; record linkage with epidemiological cancer registry providing individual official mortality information. PARTICIPANTS: All women insured with the two SHIs whose insurance coverage ended in the period 2006–2013 and who were residents of North Rhine Westphalia. MEASURES: Descriptive statistics were used to analyse the performance of the linkage procedure. Further, we calculated measures of agreement between the official and the GePaRD-based vital status and assessed differences between the official and the GePaRD-based date of death. RESULTS: Of the 256 111 women of the linkage sample, 25 528 were classified as ‘deceased’ in GePaRD and the others as ‘alive’. Compared with the official data, the GePaRD-based vital status showed a sensitivity of 95.9% and a specificity of 99.4%. The negative predictive value was 99.6% and the positive predictive value 94.3%. The date of death agreed in 96.3% between both data sources. CONCLUSIONS: The vital status recorded in GePaRD was of high accuracy and discrepancies between dates of death in GePaRD and official dates were rare. This underlines the potential of the database for conducting large cohort studies with mortality as the endpoint.
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spelling pubmed-66091192019-07-19 Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry Langner, Ingo Ohlmeier, Christoph Zeeb, Hajo Haug, Ulrike Riedel, Oliver BMJ Open Epidemiology OBJECTIVE: Claims data need to be validated to assess their use for epidemiological research. This study aimed to examine the validity of mortality information in the German Pharmacoepidemiological Research Database (GePaRD). DESIGN: Validation study, secondary data, medical claims. SETTING: Claims data of two German nationwide acting statutory health insurance providers (SHIs) contributing data for GePaRD; record linkage with epidemiological cancer registry providing individual official mortality information. PARTICIPANTS: All women insured with the two SHIs whose insurance coverage ended in the period 2006–2013 and who were residents of North Rhine Westphalia. MEASURES: Descriptive statistics were used to analyse the performance of the linkage procedure. Further, we calculated measures of agreement between the official and the GePaRD-based vital status and assessed differences between the official and the GePaRD-based date of death. RESULTS: Of the 256 111 women of the linkage sample, 25 528 were classified as ‘deceased’ in GePaRD and the others as ‘alive’. Compared with the official data, the GePaRD-based vital status showed a sensitivity of 95.9% and a specificity of 99.4%. The negative predictive value was 99.6% and the positive predictive value 94.3%. The date of death agreed in 96.3% between both data sources. CONCLUSIONS: The vital status recorded in GePaRD was of high accuracy and discrepancies between dates of death in GePaRD and official dates were rare. This underlines the potential of the database for conducting large cohort studies with mortality as the endpoint. BMJ Publishing Group 2019-07-02 /pmc/articles/PMC6609119/ /pubmed/31270118 http://dx.doi.org/10.1136/bmjopen-2018-028223 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Langner, Ingo
Ohlmeier, Christoph
Zeeb, Hajo
Haug, Ulrike
Riedel, Oliver
Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title_full Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title_fullStr Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title_full_unstemmed Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title_short Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry
title_sort individual mortality information in the german pharmacoepidemiological research database (gepard): a validation study using a record linkage with a large cancer registry
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609119/
https://www.ncbi.nlm.nih.gov/pubmed/31270118
http://dx.doi.org/10.1136/bmjopen-2018-028223
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