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Primary data, claims data, and linked data in observational research: the case of COPD in Germany

BACKGROUND: Real-world evidence (RWE) can inform patient management decisions, but RWE studies are associated with limitations. Linkage of different RWE data types could address such limitations by enriching data and improving scientific quality. Using the example of chronic obstructive pulmonary di...

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Autores principales: Mueller, Sabrina, Gottschalk, Fraence, Groth, Antje, Meeraus, Wilhelmine, Driessen, Maurice, Kohlmann, Thomas, Wilke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117888/
https://www.ncbi.nlm.nih.gov/pubmed/30165860
http://dx.doi.org/10.1186/s12931-018-0865-1
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author Mueller, Sabrina
Gottschalk, Fraence
Groth, Antje
Meeraus, Wilhelmine
Driessen, Maurice
Kohlmann, Thomas
Wilke, Thomas
author_facet Mueller, Sabrina
Gottschalk, Fraence
Groth, Antje
Meeraus, Wilhelmine
Driessen, Maurice
Kohlmann, Thomas
Wilke, Thomas
author_sort Mueller, Sabrina
collection PubMed
description BACKGROUND: Real-world evidence (RWE) can inform patient management decisions, but RWE studies are associated with limitations. Linkage of different RWE data types could address such limitations by enriching data and improving scientific quality. Using the example of chronic obstructive pulmonary disease (COPD) in Germany, this study assessed the value of data linkage between primary and secondary data sources for RWE. METHODS: Post hoc analysis of data from an observational RWE study, which used prospectively collected data and data from an insurance claims database to assess treatment adherence and persistence in patients with COPD in Germany. Patient-level primary data were collected from the prospective observational study (primary dataset, N = 636), and claims data from the sickness fund AOK Nordost (claims dataset, N = 74,916). Primary and claims data were linked at a patient level using insurance numbers (linked dataset). Patients in the linked dataset were indexed at date of study inclusion for primary data and matched calendar date for claims data. Agreement between primary and claims data was examined for patients in the linked dataset based on comparisons between recorded sociodemographic data at index, comorbidities (primary: any recorded; claims: pre-index), prescriptions for COPD therapies (type and date) and exacerbations in the 12-month post-index period. RESULTS: The linked dataset included primary and claims data for 536 patients. Fewer comorbid patients were reported in primary data compared with claims data (p < 0.001), with overall agreement between 63.6% (hypertension) and 90.5% (osteoporosis). Number of prescriptions for COPD therapies per patient was lower in primary versus claims data (3.7 vs 10.3 prescriptions, respectively), with only 24.5% of prescriptions recorded in both datasets. Only 11.5% of exacerbations (moderate or severe) were recorded in both datasets, with 15.5% recorded only in primary data and 73.0% recorded only in claims data. CONCLUSION: Our study highlighted discrepancies between primary and claims data capture for this population of German patients with COPD, with lower reporting of comorbidities, COPD therapy prescriptions and exacerbations in primary versus claims data. Study findings suggest that data linkage of primary and claims data could provide enrichment and be useful in fully describing COPD endpoints. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0865-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-61178882018-09-05 Primary data, claims data, and linked data in observational research: the case of COPD in Germany Mueller, Sabrina Gottschalk, Fraence Groth, Antje Meeraus, Wilhelmine Driessen, Maurice Kohlmann, Thomas Wilke, Thomas Respir Res Research BACKGROUND: Real-world evidence (RWE) can inform patient management decisions, but RWE studies are associated with limitations. Linkage of different RWE data types could address such limitations by enriching data and improving scientific quality. Using the example of chronic obstructive pulmonary disease (COPD) in Germany, this study assessed the value of data linkage between primary and secondary data sources for RWE. METHODS: Post hoc analysis of data from an observational RWE study, which used prospectively collected data and data from an insurance claims database to assess treatment adherence and persistence in patients with COPD in Germany. Patient-level primary data were collected from the prospective observational study (primary dataset, N = 636), and claims data from the sickness fund AOK Nordost (claims dataset, N = 74,916). Primary and claims data were linked at a patient level using insurance numbers (linked dataset). Patients in the linked dataset were indexed at date of study inclusion for primary data and matched calendar date for claims data. Agreement between primary and claims data was examined for patients in the linked dataset based on comparisons between recorded sociodemographic data at index, comorbidities (primary: any recorded; claims: pre-index), prescriptions for COPD therapies (type and date) and exacerbations in the 12-month post-index period. RESULTS: The linked dataset included primary and claims data for 536 patients. Fewer comorbid patients were reported in primary data compared with claims data (p < 0.001), with overall agreement between 63.6% (hypertension) and 90.5% (osteoporosis). Number of prescriptions for COPD therapies per patient was lower in primary versus claims data (3.7 vs 10.3 prescriptions, respectively), with only 24.5% of prescriptions recorded in both datasets. Only 11.5% of exacerbations (moderate or severe) were recorded in both datasets, with 15.5% recorded only in primary data and 73.0% recorded only in claims data. CONCLUSION: Our study highlighted discrepancies between primary and claims data capture for this population of German patients with COPD, with lower reporting of comorbidities, COPD therapy prescriptions and exacerbations in primary versus claims data. Study findings suggest that data linkage of primary and claims data could provide enrichment and be useful in fully describing COPD endpoints. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0865-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-30 2018 /pmc/articles/PMC6117888/ /pubmed/30165860 http://dx.doi.org/10.1186/s12931-018-0865-1 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
Mueller, Sabrina
Gottschalk, Fraence
Groth, Antje
Meeraus, Wilhelmine
Driessen, Maurice
Kohlmann, Thomas
Wilke, Thomas
Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title_full Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title_fullStr Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title_full_unstemmed Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title_short Primary data, claims data, and linked data in observational research: the case of COPD in Germany
title_sort primary data, claims data, and linked data in observational research: the case of copd in germany
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117888/
https://www.ncbi.nlm.nih.gov/pubmed/30165860
http://dx.doi.org/10.1186/s12931-018-0865-1
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