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An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta

BACKGROUND: Concordance between Common Drug Review (CDR) recommendations and provincial plans has been studied previously. However, no study has, to the best of the authors' knowledge, examined the characteristics of CDR recommendations that may be associated with concordance. METHODS: Recommen...

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Autores principales: Zoratti, Michael J., Xie, Feng, Thorlund, Kristian, Allen, Nicola, Levine, Mitchell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Longwoods Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075445/
https://www.ncbi.nlm.nih.gov/pubmed/32176613
http://dx.doi.org/10.12927/hcpol.2020.26128
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author Zoratti, Michael J.
Xie, Feng
Thorlund, Kristian
Allen, Nicola
Levine, Mitchell
author_facet Zoratti, Michael J.
Xie, Feng
Thorlund, Kristian
Allen, Nicola
Levine, Mitchell
author_sort Zoratti, Michael J.
collection PubMed
description BACKGROUND: Concordance between Common Drug Review (CDR) recommendations and provincial plans has been studied previously. However, no study has, to the best of the authors' knowledge, examined the characteristics of CDR recommendations that may be associated with concordance. METHODS: Recommendation–decision pairs were collected from the CDR and the provincial plans of Ontario, British Columbia and Alberta. Concordance was evaluated by province. Characteristics of each CDR recommendation were collected, and associations with concordance were evaluated by logistic regression. RESULTS: Recommendation–listing concordance was high. Positive references to cost and clinical outcomes compared to placebo were statistically associated with concordance. Negative references to cost and to the consistency and certainty of economic evidence were statistically associated with discordance. However, these findings were inconsistent across the jurisdictions studied. CONCLUSIONS: Although concordance was high, the ability of recommendation characteristics to explain the relationship between province and CDR listing decisions was limited. This exploratory study highlights the complexity of the reimbursement process and possible reasons for drug listing differences across jurisdictions.
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spelling pubmed-70754452021-02-01 An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta Zoratti, Michael J. Xie, Feng Thorlund, Kristian Allen, Nicola Levine, Mitchell Healthc Policy Research Paper BACKGROUND: Concordance between Common Drug Review (CDR) recommendations and provincial plans has been studied previously. However, no study has, to the best of the authors' knowledge, examined the characteristics of CDR recommendations that may be associated with concordance. METHODS: Recommendation–decision pairs were collected from the CDR and the provincial plans of Ontario, British Columbia and Alberta. Concordance was evaluated by province. Characteristics of each CDR recommendation were collected, and associations with concordance were evaluated by logistic regression. RESULTS: Recommendation–listing concordance was high. Positive references to cost and clinical outcomes compared to placebo were statistically associated with concordance. Negative references to cost and to the consistency and certainty of economic evidence were statistically associated with discordance. However, these findings were inconsistent across the jurisdictions studied. CONCLUSIONS: Although concordance was high, the ability of recommendation characteristics to explain the relationship between province and CDR listing decisions was limited. This exploratory study highlights the complexity of the reimbursement process and possible reasons for drug listing differences across jurisdictions. Longwoods Publishing 2020-02 /pmc/articles/PMC7075445/ /pubmed/32176613 http://dx.doi.org/10.12927/hcpol.2020.26128 Text en Copyright © 2020 Longwoods Publishing http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 License, which permits rights to copy and redistribute the work for non-commercial purposes only, provided the original work is given proper attribution.
spellingShingle Research Paper
Zoratti, Michael J.
Xie, Feng
Thorlund, Kristian
Allen, Nicola
Levine, Mitchell
An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title_full An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title_fullStr An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title_full_unstemmed An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title_short An Exploratory Analysis of Predictors of Concordance between Canadian Common Drug Review Reimbursement Recommendations and the Subsequent Decisions by Ontario, British Columbia and Alberta
title_sort exploratory analysis of predictors of concordance between canadian common drug review reimbursement recommendations and the subsequent decisions by ontario, british columbia and alberta
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075445/
https://www.ncbi.nlm.nih.gov/pubmed/32176613
http://dx.doi.org/10.12927/hcpol.2020.26128
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