@article{64b9858166204a8a9d50780d9e7aef56,
title = "Development of a standardized chart review method to identify drug-related hospital admissions in older people",
abstract = "Aims: We aimed to develop a standardized chart review method to identify drug-related hospital admissions (DRA) in older people caused by non-preventable adverse drug reactions and preventable medication errors including overuse, underuse and misuse of medications: the DRA adjudication guide. Methods: The DRA adjudication guide was developed based on design and test iterations with international and multidisciplinary input in four subsequent steps: literature review; evaluation of content validity using a Delphi consensus technique; a pilot test; and a reliability study. Results: The DRA adjudication guide provides definitions, examples and step-by-step instructions to measure DRA. A three-step standardized chart review method was elaborated including: (i) data abstraction; (ii) explicit screening with a newly developed trigger tool for DRA in older people; and (iii) consensus adjudication for causality by a pharmacist and a physician using the World Health Organization-Uppsala Monitoring Centre and Hallas criteria. A 15-member international Delphi panel reached consensus agreement on 26 triggers for DRA in older people. The DRA adjudication guide showed good feasibility of use and achieved moderate inter-rater reliability for the evaluation of 16 cases by four European adjudication pairs (71% agreement, κ = 0.41). Disagreements arose mainly for cases with potential underuse. Conclusions: The DRA adjudication guide is the first standardized chart review method to identify DRA in older persons. Content validity, feasibility of use and inter-rater reliability were found to be satisfactory. The method can be used as an outcome measure for interventions targeted at improving quality and safety of medication use in older people.",
keywords = "adverse drug reactions, elderly, medication errors, medication safety, patient safety",
author = "Stefanie Thevelin and Anne Spinewine and Beuscart, {Jean Baptiste} and Benoit Boland and Sophie Marien and Fanny Vaillant and Ingeborg Wilting and Ariel Vondeling and Carmen Floriani and Claudio Schneider and Jacques Donz{\'e} and Nicolas Rodondi and Shane Cullinan and Denis O'Mahony and Olivia Dalleur",
note = "Funding Information: There are no competing interests to declare. This work is part of the project {\textquoteleft}OPERAM: OPtimising thERapy to prevent Avoidable hospital admissions in the Multi-morbid elderly{\textquoteright} supported by the European Union's Horizon 2020 research and innovation programme under the grant agreement No 6342388, and by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0137. The opinions expressed and arguments employed herein are those of the authors and do not necessarily reflect the official views of the EC and the Swiss government. We gratefully acknowledge the valuable input of the expert panel in the validation of the trigger tool. Participating experts included: Christine Baumgartner, University of Bern; Manuel Blum, University of Bern; Dominique Bonnet-Zamponi, Assistance Publique H{\^o}pitaux de Paris, Centre of Pharmaco-epidemiology; Pascale Cornette, Universit{\'e} catholique de Louvain; Paul Jansen, University Medical Centre Utrecht; Louise Mallet, Universit{\'e} de Montr{\'e}al; Zachary Marcum, University of Washington; Ariane Mouzon, Universit{\'e} catholique de Louvain; Denis O'Mahony, University College Cork; Mirko Petrovic, Ghent University; Sarah Slight, Newcastle University; Annemie Somers, Ghent University; Stephane Steurbaut, Vrije Universiteit Brussel; Patricia van den Bemt, Erasmus University Medical Centre; Tischa van der Cammen, Delft University of Technology. We thank Stefanie Hossmann and Sven Trelle from the Clinical Trials Unit of the University of Bern, for the work performed to embed the DRA adjudication method in the electronic data collection for the OPERAM trial. We also thank S{\'e}verine Henrard from the Universit{\'e} catholique de Louvain for her advice in statistical analysis. Funding Information: This work is part of the project {\textquoteleft}OPERAM: OPtimising thERapy to prevent Avoidable hospital admissions in the Multi-morbid elderly{\textquoteright} supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the grant agreement No 6342388, and by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0137. The opinions expressed and arguments employed herein are those of the authors and do not necessarily reflect the official views of the EC and the Swiss government. Publisher Copyright: {\textcopyright} 2018 The British Pharmacological Society",
year = "2018",
month = nov,
day = "1",
doi = "10.1111/bcp.13716",
language = "English",
volume = "84",
pages = "2600--2614",
journal = "British Journal of Clinical Pharmacology",
issn = "0306-5251",
publisher = "Wiley-Blackwell",
number = "11",
}