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Polypharmacy in chronic diseases–Reduction of Inappropriate Medication and Adverse drug events in older populations by electronic Decision Support (PRIMA-eDS): study protocol for a randomized…

Overview of attention for article published in Trials, January 2016
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Title
Polypharmacy in chronic diseases–Reduction of Inappropriate Medication and Adverse drug events in older populations by electronic Decision Support (PRIMA-eDS): study protocol for a randomized controlled trial
Published in
Trials, January 2016
DOI 10.1186/s13063-016-1177-8
Pubmed ID
Authors

Andreas Sönnichsen, Ulrike S. Trampisch, Anja Rieckert, Giuliano Piccoliori, Anna Vögele, Maria Flamm, Tim Johansson, Aneez Esmail, David Reeves, Christin Löffler, Jennifer Höck, Renate Klaassen-Mielke, Hans Joachim Trampisch, Ilkka Kunnamo

Abstract

Multimorbidity is increasing in aging populations with a corresponding increase in polypharmacy as well as inappropriate prescribing. Depending on definitions, 25-50 % of patients aged 75 years or older are exposed to at least five drugs. Evidence is increasing that polypharmacy, even when guidelines advise the prescribing of each drug individually, can potentially cause more harm than benefit to older patients, due to factors such as drug-drug and drug-disease interactions. Several approaches reducing polypharmacy and inappropriate prescribing have been proposed, but evidence showing a benefit of these measures regarding clinically relevant endpoints is scarce. There is an urgent need to implement more effective strategies. We therefore set out to develop an evidence-based electronic decision support (eDS) tool to aid physicians in reducing inappropriate prescribing and test its effectiveness in a large-scale cluster-randomized controlled trial. The "Polypharmacy in chronic diseases-Reduction of Inappropriate Medication and Adverse drug events in older populations" (PRIMA)-eDS tool is a tool comprising an indication check and recommendations for the reduction of polypharmacy and inappropriate prescribing based on systematic reviews and guidelines, the European list of inappropriate medications for older people, the SFINX-database of interactions, the PHARAO-database on adverse effects, and the RENBASE-database on renal dosing. The tool will be evaluated in a cluster-randomized controlled trial involving 325 general practitioners (GPs) and around 3500 patients across five study centres in the United Kingdom, Germany, Austria and Italy. GP practices will be asked to recruit 11 patients aged 75 years or older who are taking at least eight medications and will be cluster-randomized after completion of patient recruitment. Intervention GPs will have access to the PRIMA-eDS tool, while control GPs will treat their patients according to current guidelines (usual care) without access to the PRIMA-eDS tool. After an observation time of 2 years, intervention and control groups will be compared regarding the primary composite endpoint of first non-elective hospitalization or death. The principal hypothesis is that reduction of polypharmacy and inappropriate prescribing can improve the clinical composite outcome of hospitalization or death. A positive result of the trial will contribute substantially to the improvement of care in multimorbidity. The trial is necessary to investigate not only whether the reduction of polypharmacy improves outcome, but also whether GPs and patients are willing to follow the recommendations of the PRIMA-eDS tool. This trial has been registered with Current Controlled Trials Ltd. on 31 July 2014 ( ISRCTN10137559 ).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 14%
Researcher 31 12%
Student > Bachelor 24 9%
Student > Ph. D. Student 23 9%
Student > Doctoral Student 19 7%
Other 59 23%
Unknown 67 26%
Readers by discipline Count As %
Medicine and Dentistry 65 25%
Pharmacology, Toxicology and Pharmaceutical Science 37 14%
Nursing and Health Professions 28 11%
Psychology 6 2%
Computer Science 6 2%
Other 34 13%
Unknown 82 32%