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Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial

INTRODUCTION: Multimorbidity and polypharmacy are important risk factors for drug-related hospital admissions (DRAs). DRAs are often linked to prescribing problems (overprescribing and underprescribing), as well as non-adherence with drug regimens for different reasons. In this trial, we aim to asse...

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Autores principales: Adam, Luise, Moutzouri, Elisavet, Baumgartner, Christine, Loewe, Axel Lennart, Feller, Martin, M’Rabet-Bensalah, Khadija, Schwab, Nathalie, Hossmann, Stefanie, Schneider, Claudio, Jegerlehner, Sabrina, Floriani, Carmen, Limacher, Andreas, Jungo, Katharina Tabea, Huibers, Corlina Johanna Alida, Streit, Sven, Schwenkglenks, Matthias, Spruit, Marco, Van Dorland, Anette, Donzé, Jacques, Kearney, Patricia M, Jüni, Peter, Aujesky, Drahomir, Jansen, Paul, Boland, Benoit, Dalleur, Olivia, Byrne, Stephen, Knol, Wilma, Spinewine, Anne, O’Mahony, Denis, Trelle, Sven, Rodondi, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561415/
https://www.ncbi.nlm.nih.gov/pubmed/31164366
http://dx.doi.org/10.1136/bmjopen-2018-026769
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author Adam, Luise
Moutzouri, Elisavet
Baumgartner, Christine
Loewe, Axel Lennart
Feller, Martin
M’Rabet-Bensalah, Khadija
Schwab, Nathalie
Hossmann, Stefanie
Schneider, Claudio
Jegerlehner, Sabrina
Floriani, Carmen
Limacher, Andreas
Jungo, Katharina Tabea
Huibers, Corlina Johanna Alida
Streit, Sven
Schwenkglenks, Matthias
Spruit, Marco
Van Dorland, Anette
Donzé, Jacques
Kearney, Patricia M
Jüni, Peter
Aujesky, Drahomir
Jansen, Paul
Boland, Benoit
Dalleur, Olivia
Byrne, Stephen
Knol, Wilma
Spinewine, Anne
O’Mahony, Denis
Trelle, Sven
Rodondi, Nicolas
author_facet Adam, Luise
Moutzouri, Elisavet
Baumgartner, Christine
Loewe, Axel Lennart
Feller, Martin
M’Rabet-Bensalah, Khadija
Schwab, Nathalie
Hossmann, Stefanie
Schneider, Claudio
Jegerlehner, Sabrina
Floriani, Carmen
Limacher, Andreas
Jungo, Katharina Tabea
Huibers, Corlina Johanna Alida
Streit, Sven
Schwenkglenks, Matthias
Spruit, Marco
Van Dorland, Anette
Donzé, Jacques
Kearney, Patricia M
Jüni, Peter
Aujesky, Drahomir
Jansen, Paul
Boland, Benoit
Dalleur, Olivia
Byrne, Stephen
Knol, Wilma
Spinewine, Anne
O’Mahony, Denis
Trelle, Sven
Rodondi, Nicolas
author_sort Adam, Luise
collection PubMed
description INTRODUCTION: Multimorbidity and polypharmacy are important risk factors for drug-related hospital admissions (DRAs). DRAs are often linked to prescribing problems (overprescribing and underprescribing), as well as non-adherence with drug regimens for different reasons. In this trial, we aim to assess whether a structured medication review compared with standard care can reduce DRAs in multimorbid older patients with polypharmacy. METHODS AND ANALYSIS: OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people is a European multicentre, cluster randomised, controlled trial. Hospitalised patients ≥70 years with ≥3 chronic medical conditions and concurrent use of ≥5 chronic medications are included in the four participating study centres of Bern (Switzerland), Utrecht (The Netherlands), Brussels (Belgium) and Cork (Ireland). Patients treated by the same prescribing physician constitute a cluster, and clusters are randomised 1:1 to either standard care or Systematic Tool to Reduce Inappropriate Prescribing (STRIP) intervention with the help of a clinical decision support system, the STRIP Assistant. STRIP is a structured method performing customised medication reviews, based on Screening Tool of Older People’s Prescriptions/Screening  Tool to Alert to Right Treatment criteria to detect potentially inappropriate prescribing. The primary endpoint is any DRA where the main reason or a contributory reason for the patient’s admission is caused by overtreatment or undertreatment, and/or inappropriate treatment. Secondary endpoints include number of any hospitalisations, all-cause mortality, number of falls, quality of life, degree of polypharmacy, activities of daily living, patient’s drug compliance, the number of significant drug–drug interactions, drug overuse and underuse and potentially inappropriate medication. ETHICS AND DISSEMINATION: The local Ethics Committees in Switzerland, Ireland, The Netherlands and Belgium approved this trial protocol. We will publish the results of this trial in a peer-reviewed journal. MAIN FUNDING: European Union’s Horizon 2020 programme. TRIAL REGISTRATION NUMBER: NCT02986425, SNCTP000002183, NTR6012, U1111-1181-9400.
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spelling pubmed-65614152019-06-28 Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial Adam, Luise Moutzouri, Elisavet Baumgartner, Christine Loewe, Axel Lennart Feller, Martin M’Rabet-Bensalah, Khadija Schwab, Nathalie Hossmann, Stefanie Schneider, Claudio Jegerlehner, Sabrina Floriani, Carmen Limacher, Andreas Jungo, Katharina Tabea Huibers, Corlina Johanna Alida Streit, Sven Schwenkglenks, Matthias Spruit, Marco Van Dorland, Anette Donzé, Jacques Kearney, Patricia M Jüni, Peter Aujesky, Drahomir Jansen, Paul Boland, Benoit Dalleur, Olivia Byrne, Stephen Knol, Wilma Spinewine, Anne O’Mahony, Denis Trelle, Sven Rodondi, Nicolas BMJ Open Geriatric Medicine INTRODUCTION: Multimorbidity and polypharmacy are important risk factors for drug-related hospital admissions (DRAs). DRAs are often linked to prescribing problems (overprescribing and underprescribing), as well as non-adherence with drug regimens for different reasons. In this trial, we aim to assess whether a structured medication review compared with standard care can reduce DRAs in multimorbid older patients with polypharmacy. METHODS AND ANALYSIS: OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people is a European multicentre, cluster randomised, controlled trial. Hospitalised patients ≥70 years with ≥3 chronic medical conditions and concurrent use of ≥5 chronic medications are included in the four participating study centres of Bern (Switzerland), Utrecht (The Netherlands), Brussels (Belgium) and Cork (Ireland). Patients treated by the same prescribing physician constitute a cluster, and clusters are randomised 1:1 to either standard care or Systematic Tool to Reduce Inappropriate Prescribing (STRIP) intervention with the help of a clinical decision support system, the STRIP Assistant. STRIP is a structured method performing customised medication reviews, based on Screening Tool of Older People’s Prescriptions/Screening  Tool to Alert to Right Treatment criteria to detect potentially inappropriate prescribing. The primary endpoint is any DRA where the main reason or a contributory reason for the patient’s admission is caused by overtreatment or undertreatment, and/or inappropriate treatment. Secondary endpoints include number of any hospitalisations, all-cause mortality, number of falls, quality of life, degree of polypharmacy, activities of daily living, patient’s drug compliance, the number of significant drug–drug interactions, drug overuse and underuse and potentially inappropriate medication. ETHICS AND DISSEMINATION: The local Ethics Committees in Switzerland, Ireland, The Netherlands and Belgium approved this trial protocol. We will publish the results of this trial in a peer-reviewed journal. MAIN FUNDING: European Union’s Horizon 2020 programme. TRIAL REGISTRATION NUMBER: NCT02986425, SNCTP000002183, NTR6012, U1111-1181-9400. BMJ Publishing Group 2019-06-03 /pmc/articles/PMC6561415/ /pubmed/31164366 http://dx.doi.org/10.1136/bmjopen-2018-026769 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Geriatric Medicine
Adam, Luise
Moutzouri, Elisavet
Baumgartner, Christine
Loewe, Axel Lennart
Feller, Martin
M’Rabet-Bensalah, Khadija
Schwab, Nathalie
Hossmann, Stefanie
Schneider, Claudio
Jegerlehner, Sabrina
Floriani, Carmen
Limacher, Andreas
Jungo, Katharina Tabea
Huibers, Corlina Johanna Alida
Streit, Sven
Schwenkglenks, Matthias
Spruit, Marco
Van Dorland, Anette
Donzé, Jacques
Kearney, Patricia M
Jüni, Peter
Aujesky, Drahomir
Jansen, Paul
Boland, Benoit
Dalleur, Olivia
Byrne, Stephen
Knol, Wilma
Spinewine, Anne
O’Mahony, Denis
Trelle, Sven
Rodondi, Nicolas
Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title_full Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title_fullStr Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title_full_unstemmed Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title_short Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial
title_sort rationale and design of optimising therapy to prevent avoidable hospital admissions in multimorbid older people (operam): a cluster randomised controlled trial
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561415/
https://www.ncbi.nlm.nih.gov/pubmed/31164366
http://dx.doi.org/10.1136/bmjopen-2018-026769
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