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GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

01. - 05.09.2013, Lübeck

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Correlation of hospitalization and prescription of potentially inappropriate medication based on the PRISCUS listan analysis from the German Statutory Health Insurance

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  • Frank Henschel - Universität Köln, DE
  • Stephanie Stock - Universitätsklinikum Köln, AöR, Cologne, DE
  • Martin Siegel - TU Berlin, DE

GMDS 2013. 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Lübeck, 01.-05.09.2013. Düsseldorf: German Medical Science GMS Publishing House; 2013. DocAbstr.274

doi: 10.3205/13gmds208, urn:nbn:de:0183-13gmds2081

Published: August 27, 2013

© 2013 Henschel et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.

Outline

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Objective: To identify hospitalizations via specific diagnoses related to adverse drug events (ADE) in elderly patients receiving potentially inappropriate medication (PIM)

Design retrospective cohort study: Setting full census of patient data from a large sickness fund of the German statutory health insurance (SHI) covering the years 2009-2010

Participants 647.073 patients aged ≥65 years. We established a wash out period in 2009 to include only those, who received newly prescribed drugs in 2010, which reduced the study population to 94.347 patients. Propensity score matching was used to build two groups at a comparable risk level. The final matched study population had a size of 35.696 patients.

Results: We analyzed hospitalizations before and after propensity score matching. Both results showed significant more ADE in the PIM group. The odds of hospitalization (main diagnoses) was 54% (OR 1,54; 95% CI 1,23 – 1,93) higher for those receiving any PIM (60,56%) compared to those who received non-PIM (39,44%). Adjusting for relevant covariates showed a highly significant (P<0,001) increased odds (OR 1,46; 95% CI 1,16 - 1,84) for hospitalization, for those receiving a potentially inappropriate medication compared to the control group.

Conclusions: Adverse drug events in the elderly are a major public health concern. Our study suggests that, PIM are associated with an increased need for hospitalization. If possible, physicians should prescribe alternative drugs.