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Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases

INTRODUCTION: Adverse drug events (ADEs) are common in older people and contribute significantly to emergency department (ED) visits, unplanned hospitalisations, healthcare costs, morbidity and mortality. Many ADEs are avoidable if attention is directed towards identifying and preventing inappropria...

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Autores principales: Bjerre, Lise M, Ramsay, Timothy, Cahir, Catriona, Ryan, Cristín, Halil, Roland, Farrell, Barbara, Thavorn, Kednapa, Catley, Christina, Hawken, Steven, Gillespie, Ulrika, Manuel, Douglas G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663446/
https://www.ncbi.nlm.nih.gov/pubmed/26608642
http://dx.doi.org/10.1136/bmjopen-2015-010146
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author Bjerre, Lise M
Ramsay, Timothy
Cahir, Catriona
Ryan, Cristín
Halil, Roland
Farrell, Barbara
Thavorn, Kednapa
Catley, Christina
Hawken, Steven
Gillespie, Ulrika
Manuel, Douglas G
author_facet Bjerre, Lise M
Ramsay, Timothy
Cahir, Catriona
Ryan, Cristín
Halil, Roland
Farrell, Barbara
Thavorn, Kednapa
Catley, Christina
Hawken, Steven
Gillespie, Ulrika
Manuel, Douglas G
author_sort Bjerre, Lise M
collection PubMed
description INTRODUCTION: Adverse drug events (ADEs) are common in older people and contribute significantly to emergency department (ED) visits, unplanned hospitalisations, healthcare costs, morbidity and mortality. Many ADEs are avoidable if attention is directed towards identifying and preventing inappropriate drug use and undesirable drug combinations. Tools exist to identify potentially inappropriate prescribing (PIP) in clinical settings, but they are underused. Applying PIP assessment tools to population-wide health administrative data could provide an opportunity to assess the impact of PIP on individual patients as well as on the healthcare system. This would open new possibilities for interventions to monitor and optimise medication management on a broader, population-level scale. METHODS AND ANALYSIS: The aim of this study is to describe the occurrence of PIP in Ontario's older population (aged 65 years and older), and to assess the health outcomes and health system costs associated with PIP—more specifically, the association between PIP and the occurrence of ED visits, hospitalisations and death, and their related costs. This will be done within the framework of a population-based retrospective cohort study using Ontario's large health administrative and population databases. Eligible patients aged 66 years and older who were issued at least 1 prescription between 1 April 2003 and 31 March 2014 (approximately 2 million patients) will be included. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Ottawa Health Services Network Ethical Review Board and from the Bruyère Research Institute Ethics Review Board. Dissemination will occur via publication, presentation at national and international conferences, and ongoing exchanges with regional, provincial and national stakeholders, including the Ontario Drug Policy Research Network and the Ontario Ministry of Health and Long-Term Care. TRIAL REGISTRATION NUMBER: Registered with clinicaltrials.gov (registration number: NCT02555891).
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spelling pubmed-46634462015-12-03 Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases Bjerre, Lise M Ramsay, Timothy Cahir, Catriona Ryan, Cristín Halil, Roland Farrell, Barbara Thavorn, Kednapa Catley, Christina Hawken, Steven Gillespie, Ulrika Manuel, Douglas G BMJ Open Epidemiology INTRODUCTION: Adverse drug events (ADEs) are common in older people and contribute significantly to emergency department (ED) visits, unplanned hospitalisations, healthcare costs, morbidity and mortality. Many ADEs are avoidable if attention is directed towards identifying and preventing inappropriate drug use and undesirable drug combinations. Tools exist to identify potentially inappropriate prescribing (PIP) in clinical settings, but they are underused. Applying PIP assessment tools to population-wide health administrative data could provide an opportunity to assess the impact of PIP on individual patients as well as on the healthcare system. This would open new possibilities for interventions to monitor and optimise medication management on a broader, population-level scale. METHODS AND ANALYSIS: The aim of this study is to describe the occurrence of PIP in Ontario's older population (aged 65 years and older), and to assess the health outcomes and health system costs associated with PIP—more specifically, the association between PIP and the occurrence of ED visits, hospitalisations and death, and their related costs. This will be done within the framework of a population-based retrospective cohort study using Ontario's large health administrative and population databases. Eligible patients aged 66 years and older who were issued at least 1 prescription between 1 April 2003 and 31 March 2014 (approximately 2 million patients) will be included. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Ottawa Health Services Network Ethical Review Board and from the Bruyère Research Institute Ethics Review Board. Dissemination will occur via publication, presentation at national and international conferences, and ongoing exchanges with regional, provincial and national stakeholders, including the Ontario Drug Policy Research Network and the Ontario Ministry of Health and Long-Term Care. TRIAL REGISTRATION NUMBER: Registered with clinicaltrials.gov (registration number: NCT02555891). BMJ Publishing Group 2015-11-25 /pmc/articles/PMC4663446/ /pubmed/26608642 http://dx.doi.org/10.1136/bmjopen-2015-010146 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Epidemiology
Bjerre, Lise M
Ramsay, Timothy
Cahir, Catriona
Ryan, Cristín
Halil, Roland
Farrell, Barbara
Thavorn, Kednapa
Catley, Christina
Hawken, Steven
Gillespie, Ulrika
Manuel, Douglas G
Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title_full Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title_fullStr Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title_full_unstemmed Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title_short Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario’s older population: a population-based cohort study applying subsets of the STOPP/START and Beers’ criteria in large health administrative databases
title_sort assessing potentially inappropriate prescribing (pip) and predicting patient outcomes in ontario’s older population: a population-based cohort study applying subsets of the stopp/start and beers’ criteria in large health administrative databases
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663446/
https://www.ncbi.nlm.nih.gov/pubmed/26608642
http://dx.doi.org/10.1136/bmjopen-2015-010146
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