gms | German Medical Science

31. Jahrestagung der Gesellschaft für Arzneimittelanwendungsforschung und Arzneimittelepidemiologie (GAA)

Gesellschaft für Arzneimittelanwendungsforschung und Arzneimittelepidemiologie

21.11. - 22.11.2024, Bonn

Adverse drug event-related hospital admissions: Population-based cohort study in two Scottish health boards

Meeting Abstract

  • corresponding author presenting/speaker Miriam Schechner - Institute of General Practice and Family Medicine, University Hospital of Munich (LMU), Munich, Germany
  • author Clara Weglage - Institute of General Practice and Family Medicine, University Hospital of Munich (LMU), Munich, Germany
  • author Marietta Rottenkolber - Institute of General Practice and Family Medicine, University Hospital of Munich (LMU), Munich, Germany
  • author Tobias Dreischulte - Institute of General Practice and Family Medicine, University Hospital of Munich (LMU), Munich, Germany

Gesellschaft für Arzneimittelanwendungsforschung und Arzneimittelepidemiologie e.V. (GAA). 31. Jahrestagung der Gesellschaft für Arzneimittelanwendungsforschung und Arzneimittelepidemiologie. Bonn, 21.-22.11.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. Doc24gaa27

doi: 10.3205/24gaa27, urn:nbn:de:0183-24gaa277

Published: November 13, 2024

© 2024 Schechner et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

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Background: Studies evaluating interventions to address polypharmacy often fail to show impact on clinical endpoints because they are insufficiently targeted at those at highest risk and because they consider all-cause rather than drug-related hospital admissions. Therefore, the aim of this study is to examine the utility of a new approach to measuring adverse drug event-related hospital admissions in large electronic data bases using prespecified combinations of specific hospital admissions and preceding ambulatory medication.

Materials and Methods: We conducted a retrospective population-based cohort study in people aged ≥ 40 years in order to estimate and compare the incidence of emergency hospital admissions due to a) all-cause (AC-H), b) certain adverse events (AE-H) and c) certain adverse drug events (ADE-H) in two Scottish health boards (NHS Tayside and Fife) in 2019. In order to identify patient-level predictors for such admissions in the following year, we performed binomial multivariate logistic regression with a preceding lasso regression for variable selection among people with polypharmacy (i.e., simultaneous use of 5 or more drugs at cohort entry).

Results: Our preliminary results found that the overall incidence of AC-H, AE-H and ADE-H was 913.8, 251.4 and 91.6 per 10,000 residents, respectively. Falls and fall-related injuries were the most commonly documented reason for AE-H as well as ADE-H with a respective incidence of 102.8 and 31.8 per 10,000 residents. The predictors included in multivariate regression models explained 11.6% of variation in the risk of AE-H (R²=49,168.08) and 10.3% in the risk of ADE-H (R²=27,087.16) among people with polypharmacy. AE-H as well as ADE-H were most strongly associated with increased age (≥ 80 years vs. 40-64 years; multivariate OR: AE-H: 4.03; 95% CI 3.75 – 4.33; ADE-H: 3.72; 95% CI 3.35 – 4.14) and length of stay in hospital in previous year (> 30 days vs. 0 days; multivariate OR: AE-H: 3.27; 95% CI 2.49 – 4.28; ADE-H: 2.79; 95% CI 1.94 – 4.01).

Conclusion: Our finding of a much lower incidence of drug-related (ADE-H) vs. other cause (AC-H or AE-H) hospital admissions suggests that this novel approach may be a more specific method for evaluating the impact of quality improvement interventions targeting polypharmacy in primary care. Strategies to improve targeting of patients at high risk of drug-related outcomes may be improved by estimating risk of specific ADE-H (such as falls and fall-related injuries or gastrointestinal bleeding) rather than any ADE-H.