Cargando…

Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses

BACKGROUND: Although sometimes appropriate, antipsychotic medications are associated with increased risk of significant adverse events. In 2014, a series of newspaper articles describing high prescribing rates in nursing homes in Ontario, Canada, garnered substantial interest. Subsequently, an onlin...

Descripción completa

Detalles Bibliográficos
Autores principales: Ivers, Noah M, Taljaard, Monica, Giannakeas, Vasily, Reis, Catherine, Williams, Evelyn, Bronskill, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373421/
https://www.ncbi.nlm.nih.gov/pubmed/30061102
http://dx.doi.org/10.1136/bmjqs-2018-007840
_version_ 1783394990848737280
author Ivers, Noah M
Taljaard, Monica
Giannakeas, Vasily
Reis, Catherine
Williams, Evelyn
Bronskill, Susan
author_facet Ivers, Noah M
Taljaard, Monica
Giannakeas, Vasily
Reis, Catherine
Williams, Evelyn
Bronskill, Susan
author_sort Ivers, Noah M
collection PubMed
description BACKGROUND: Although sometimes appropriate, antipsychotic medications are associated with increased risk of significant adverse events. In 2014, a series of newspaper articles describing high prescribing rates in nursing homes in Ontario, Canada, garnered substantial interest. Subsequently, an online public reporting initiative with home-level data was launched. We examined the impact of these public reporting interventions on antipsychotic prescribing in nursing homes. METHODS: Time series analysis of all nursing home residents in Ontario, Canada, between 1 October 2013 and 31 March 2016. The primary outcome was the proportion of residents prescribed antipsychotics each month. Balance measures were prescriptions for common alternative sedating agents (benzodiazepines and/or trazodone). We used segmented regression to assess the effects on prescription trends of the newspaper articles and the online home-level public reporting initiative. RESULTS: We included 120 009 nursing home resident admissions across 636 nursing homes. Following the newspaper articles, the proportion of residents prescribed an antipsychotic decreased by 1.28% (95% CI 1.08% to 1.48%) and continued to decrease at a rate of 0.2% per month (95% CI 0.16% to 0.24%). The online public reporting initiative did not alter this trend. Over 3 years, there was a net absolute reduction in antipsychotic prescribing of 6.0% (95% CI 5.1% to 6.9%). Trends for benzodiazepine prescribing did not change as substantially during the period of observation. Trazodone use has been gradually increasing, but its use did not change abruptly at the time of the mass media report or the public reporting initiative. INTERPRETATION: The rapid impact of mass media on prescribing suggests both an opportunity to use this approach to invoke change and a warning to ensure that such reporting occurs responsibly.
format Online
Article
Text
id pubmed-6373421
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-63734212019-03-04 Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses Ivers, Noah M Taljaard, Monica Giannakeas, Vasily Reis, Catherine Williams, Evelyn Bronskill, Susan BMJ Qual Saf Original Research BACKGROUND: Although sometimes appropriate, antipsychotic medications are associated with increased risk of significant adverse events. In 2014, a series of newspaper articles describing high prescribing rates in nursing homes in Ontario, Canada, garnered substantial interest. Subsequently, an online public reporting initiative with home-level data was launched. We examined the impact of these public reporting interventions on antipsychotic prescribing in nursing homes. METHODS: Time series analysis of all nursing home residents in Ontario, Canada, between 1 October 2013 and 31 March 2016. The primary outcome was the proportion of residents prescribed antipsychotics each month. Balance measures were prescriptions for common alternative sedating agents (benzodiazepines and/or trazodone). We used segmented regression to assess the effects on prescription trends of the newspaper articles and the online home-level public reporting initiative. RESULTS: We included 120 009 nursing home resident admissions across 636 nursing homes. Following the newspaper articles, the proportion of residents prescribed an antipsychotic decreased by 1.28% (95% CI 1.08% to 1.48%) and continued to decrease at a rate of 0.2% per month (95% CI 0.16% to 0.24%). The online public reporting initiative did not alter this trend. Over 3 years, there was a net absolute reduction in antipsychotic prescribing of 6.0% (95% CI 5.1% to 6.9%). Trends for benzodiazepine prescribing did not change as substantially during the period of observation. Trazodone use has been gradually increasing, but its use did not change abruptly at the time of the mass media report or the public reporting initiative. INTERPRETATION: The rapid impact of mass media on prescribing suggests both an opportunity to use this approach to invoke change and a warning to ensure that such reporting occurs responsibly. BMJ Publishing Group 2019-02 2018-07-30 /pmc/articles/PMC6373421/ /pubmed/30061102 http://dx.doi.org/10.1136/bmjqs-2018-007840 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 Original Research
Ivers, Noah M
Taljaard, Monica
Giannakeas, Vasily
Reis, Catherine
Williams, Evelyn
Bronskill, Susan
Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title_full Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title_fullStr Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title_full_unstemmed Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title_short Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
title_sort public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373421/
https://www.ncbi.nlm.nih.gov/pubmed/30061102
http://dx.doi.org/10.1136/bmjqs-2018-007840
work_keys_str_mv AT iversnoahm publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses
AT taljaardmonica publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses
AT giannakeasvasily publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses
AT reiscatherine publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses
AT williamsevelyn publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses
AT bronskillsusan publicreportingofantipsychoticprescribinginnursinghomespopulationbasedinterruptedtimeseriesanalyses