Record linkage of claims and cancer registries data-Evaluation of a deterministic linkage approach based on indirect personal identifiers.

administrative healthcare database cancer registry data linkage deterministic linkage pharmacoepidemiology probabilistic linkage

Journal

Pharmacoepidemiology and drug safety
ISSN: 1099-1557
Titre abrégé: Pharmacoepidemiol Drug Saf
Pays: England
ID NLM: 9208369

Informations de publication

Date de publication:
12 2022
Historique:
revised: 20 07 2022
received: 15 12 2021
accepted: 05 09 2022
pubmed: 22 9 2022
medline: 7 12 2022
entrez: 21 9 2022
Statut: ppublish

Résumé

In Germany, record linkage of claims and cancer registry data is cost- and time-consuming, since up until recently no unique personal identifier was available in both data sources. The aim of this study was to evaluate the feasibility and performance of a deterministic linkage procedure based on indirect personal identifiers included in the data sources. We identified users of glucose-lowering drugs with residence in four federal states in Northern and Southern Germany (Bavaria, Bremen, Hamburg, Lower Saxony) in the German Pharmacoepidemiological Research Database (GePaRD) and assessed colorectal and thyroid cancer cases. Cancer registries of the federal states selected all colorectal and thyroid cancer cases between 2004 and 2015. A deterministic linkage approach was performed based on indirect personal identifiers such as year of birth, sex, area of residence, type of cancer and an absolute difference between the dates of cancer diagnosis in both data sources of at most 90 days. Results were compared to a probabilistic linkage using "direct" personal identifiers (gold standard). The deterministic linkage procedure yielded a sensitivity of 71.8% for colorectal cancer and 66.6% for thyroid cancer. For thyroid cancer, the sensitivity improved when using only inpatient diagnosis to define cancer in GePaRD (71.4%). Specificity was always above 99%. Using the probabilistic linkage to define cancer cases, the risk for colorectal cancer was estimated 10 percentage points lower than when using the deterministic approach. Sensitivity of the deterministic linkage approach appears to be too low to be considered as reasonable alternative to the probabilistic linkage procedure.

Identifiants

pubmed: 36129372
doi: 10.1002/pds.5545
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1287-1293

Informations de copyright

© 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.

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Auteurs

Bianca Kollhorst (B)

Department of Biometry and Data Management, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Tammo Reinders (T)

Department of Biometry and Data Management, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Susann Grill (S)

Department of Biometry and Data Management, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Andrea Eberle (A)

Cancer Registry of Bremen, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Timm Intemann (T)

Department of Biometry and Data Management, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Joachim Kieschke (J)

Lower Saxony Cancer Registry, Oldenburg, Germany.

Martin Meyer (M)

Bavarian State Office for Food Safety and Health, Nürnberg, Germany.

Alice Nennecke (A)

Hamburg Cancer Registry, Hamburg, Germany.

Wolfgang Rathmann (W)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.

Iris Pigeot (I)

Department of Biometry and Data Management, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.

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