Skip to main content
Top
Published in: Respiratory Research 1/2018

Open Access 01-12-2018 | Research

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

Authors: Sabrina Mueller, Fraence Gottschalk, Antje Groth, Wilhelmine Meeraus, Maurice Driessen, Thomas Kohlmann, Thomas Wilke

Published in: Respiratory Research | Issue 1/2018

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Jarow JP, LaVange L, Woodcock J. Multidimensional evidence generation and FDA regulatory decision making: defining and using “real-world” data. JAMA. 2017;318:703–4.CrossRefPubMed Jarow JP, LaVange L, Woodcock J. Multidimensional evidence generation and FDA regulatory decision making: defining and using “real-world” data. JAMA. 2017;318:703–4.CrossRefPubMed
2.
go back to reference Saturni S, Bellini F, Braido F, Paggiaro P, Sanduzzi A, Scichilone N, Santus PA, Morandi L, Papi A. Randomized controlled trials and real life studies. Approaches and methodologies: a clinical point of view. Pulm Pharmacol Ther. 2014;27:129–38.CrossRefPubMed Saturni S, Bellini F, Braido F, Paggiaro P, Sanduzzi A, Scichilone N, Santus PA, Morandi L, Papi A. Randomized controlled trials and real life studies. Approaches and methodologies: a clinical point of view. Pulm Pharmacol Ther. 2014;27:129–38.CrossRefPubMed
3.
go back to reference Berger ML, Mamdani M, Atkins D, Johnson ML. Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR good research practices for retrospective database analysis task force report--part I. Value Health. 2009;12:1044–52.CrossRefPubMed Berger ML, Mamdani M, Atkins D, Johnson ML. Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR good research practices for retrospective database analysis task force report--part I. Value Health. 2009;12:1044–52.CrossRefPubMed
4.
go back to reference Annemans L, Aristides M, Kubin M. Real-life data: a growing need. ISPOR Connect. 2007;13:8–12. Annemans L, Aristides M, Kubin M. Real-life data: a growing need. ISPOR Connect. 2007;13:8–12.
5.
go back to reference Garrison LP Jr, Neumann PJ, Erickson P, Marshall D, Mullins CD. Using real-world data for coverage and payment decisions: the ISPOR real-world data task force report. Value Health. 2007;10:326–35.CrossRefPubMed Garrison LP Jr, Neumann PJ, Erickson P, Marshall D, Mullins CD. Using real-world data for coverage and payment decisions: the ISPOR real-world data task force report. Value Health. 2007;10:326–35.CrossRefPubMed
6.
go back to reference Thiese MS. Observational and interventional study design types; an overview. Biochem Med (Zagreb). 2014;24:199–210.CrossRef Thiese MS. Observational and interventional study design types; an overview. Biochem Med (Zagreb). 2014;24:199–210.CrossRef
7.
go back to reference Esposito D. Reliability and Validity of Data Sources for Outcomes Research & Disease and Health Management Programs. Lawrenceville: SPOR; 2013. Esposito D. Reliability and Validity of Data Sources for Outcomes Research & Disease and Health Management Programs. Lawrenceville: SPOR; 2013.
8.
go back to reference Berger ML, Dreyer N, Anderson F, Towse A, Sedrakyan A, Normand SL. Prospective observational studies to assess comparative effectiveness: the ISPOR good research practices task force report. Value Health. 2012;15:217–30.CrossRefPubMed Berger ML, Dreyer N, Anderson F, Towse A, Sedrakyan A, Normand SL. Prospective observational studies to assess comparative effectiveness: the ISPOR good research practices task force report. Value Health. 2012;15:217–30.CrossRefPubMed
10.
go back to reference Crooks CJ, West J, Card TR. A comparison of the recording of comorbidity in primary and secondary care by using the Charlson index to predict short-term and long-term survival in a routine linked data cohort. BMJ Open. 2015;5:e007974.CrossRefPubMedPubMedCentral Crooks CJ, West J, Card TR. A comparison of the recording of comorbidity in primary and secondary care by using the Charlson index to predict short-term and long-term survival in a routine linked data cohort. BMJ Open. 2015;5:e007974.CrossRefPubMedPubMedCentral
12.
go back to reference McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22:276–82.CrossRef McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22:276–82.CrossRef
13.
go back to reference Ligthelm RJ, Borzi V, Gumprecht J, Kawamori R, Wenying Y, Valensi P: Importance of observational studies in clinical practice. Clin Ther 2007, 29 Spec No:1284–1292. Ligthelm RJ, Borzi V, Gumprecht J, Kawamori R, Wenying Y, Valensi P: Importance of observational studies in clinical practice. Clin Ther 2007, 29 Spec No:1284–1292.
14.
go back to reference West SL, Johnson W, Visscher W, Kluckman M, Qin Y, Larsen A. The challenges of linking health insurer claims with electronic medical records. Health Informatics J. 2014;20:22–34.CrossRefPubMed West SL, Johnson W, Visscher W, Kluckman M, Qin Y, Larsen A. The challenges of linking health insurer claims with electronic medical records. Health Informatics J. 2014;20:22–34.CrossRefPubMed
15.
go back to reference Boggon R, van Staa TP, Chapman M, Gallagher AM, Hammad TA, Richards MA. Cancer recording and mortality in the general practice research database and linked cancer registries. Pharmacoepidemiol Drug Saf. 2013;22:168–75.CrossRefPubMed Boggon R, van Staa TP, Chapman M, Gallagher AM, Hammad TA, Richards MA. Cancer recording and mortality in the general practice research database and linked cancer registries. Pharmacoepidemiol Drug Saf. 2013;22:168–75.CrossRefPubMed
Metadata
Title
Primary data, claims data, and linked data in observational research: the case of COPD in Germany
Authors
Sabrina Mueller
Fraence Gottschalk
Antje Groth
Wilhelmine Meeraus
Maurice Driessen
Thomas Kohlmann
Thomas Wilke
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Respiratory Research / Issue 1/2018
Electronic ISSN: 1465-993X
DOI
https://doi.org/10.1186/s12931-018-0865-1

Other articles of this Issue 1/2018

Respiratory Research 1/2018 Go to the issue