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The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada
OBJECTIVE: The aim of this study was to determine the health system costs from hospitalizations, emergency department (ED) visits, and medications due to potentially inappropriate prescribing (PIP) in Ontario, Canada, at the population-level. METHODS: A retrospective cohort of individuals ≥ 66 years...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018908/ https://www.ncbi.nlm.nih.gov/pubmed/31218653 http://dx.doi.org/10.1007/s41669-019-0143-2 |
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author | Black, Cody D. Thavorn, Kednapa Coyle, Doug Bjerre, Lise M. |
author_facet | Black, Cody D. Thavorn, Kednapa Coyle, Doug Bjerre, Lise M. |
author_sort | Black, Cody D. |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to determine the health system costs from hospitalizations, emergency department (ED) visits, and medications due to potentially inappropriate prescribing (PIP) in Ontario, Canada, at the population-level. METHODS: A retrospective cohort of individuals ≥ 66 years of age and prescribed at least one medication from April 2002 to March 2015 was identified using linked population-level health administrative databases from Ontario, Canada. Patients were identified as having PIP or no PIP by applying a subset of the Screening Tool of Older Persons’ Potentially Inappropriate Prescribing/Screening Tool to Alert Doctors to Right Treatment (STOPP/START) criteria. The number of days spent in hospital, new medications prescribed, and ED visits in the 90 days following PIP or patient index date were captured, as well as the total costs from each of these health services. Count regression models were used to generate incidence rate ratios (IRRs) for each outcome given the presence of PIP versus no PIP and combined with the prevalence of PIP to generate population attributable fractions (PAFs). The PAF was then multiplied by the cost for each health service to obtain the costs attributable to PIP in the whole cohort, and by age and sex. RESULTS: PIP was associated with an increased rate of hospitalization (IRR 2.77, 95% confidence interval [CI] 2.72–2.82), ED visits (IRR 1.87, 95% CI 1.82–1.92), and newly prescribed medications (IRR 1.13, 95% CI 1.13–1.14), resulting in PAFs of 55.7, 37.9, and 5.0% for each outcome, respectively. PIP was associated with 38.8% of the total spent on these healthcare services ($1.22 billion) in the 90 days after PIP. Costs attributable to PIP decreased with age despite increasing prevalence. CONCLUSIONS: PIP in older adults is a significant source of health system costs from healthcare service use beyond medication costs, with a significant portion of hospitalizations and ED visit costs attributable to PIP. Future work should focus on identifying strategies and priorities for intervention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0143-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7018908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-70189082020-02-28 The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada Black, Cody D. Thavorn, Kednapa Coyle, Doug Bjerre, Lise M. Pharmacoecon Open Original Research Article OBJECTIVE: The aim of this study was to determine the health system costs from hospitalizations, emergency department (ED) visits, and medications due to potentially inappropriate prescribing (PIP) in Ontario, Canada, at the population-level. METHODS: A retrospective cohort of individuals ≥ 66 years of age and prescribed at least one medication from April 2002 to March 2015 was identified using linked population-level health administrative databases from Ontario, Canada. Patients were identified as having PIP or no PIP by applying a subset of the Screening Tool of Older Persons’ Potentially Inappropriate Prescribing/Screening Tool to Alert Doctors to Right Treatment (STOPP/START) criteria. The number of days spent in hospital, new medications prescribed, and ED visits in the 90 days following PIP or patient index date were captured, as well as the total costs from each of these health services. Count regression models were used to generate incidence rate ratios (IRRs) for each outcome given the presence of PIP versus no PIP and combined with the prevalence of PIP to generate population attributable fractions (PAFs). The PAF was then multiplied by the cost for each health service to obtain the costs attributable to PIP in the whole cohort, and by age and sex. RESULTS: PIP was associated with an increased rate of hospitalization (IRR 2.77, 95% confidence interval [CI] 2.72–2.82), ED visits (IRR 1.87, 95% CI 1.82–1.92), and newly prescribed medications (IRR 1.13, 95% CI 1.13–1.14), resulting in PAFs of 55.7, 37.9, and 5.0% for each outcome, respectively. PIP was associated with 38.8% of the total spent on these healthcare services ($1.22 billion) in the 90 days after PIP. Costs attributable to PIP decreased with age despite increasing prevalence. CONCLUSIONS: PIP in older adults is a significant source of health system costs from healthcare service use beyond medication costs, with a significant portion of hospitalizations and ED visit costs attributable to PIP. Future work should focus on identifying strategies and priorities for intervention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0143-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-06-19 /pmc/articles/PMC7018908/ /pubmed/31218653 http://dx.doi.org/10.1007/s41669-019-0143-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Black, Cody D. Thavorn, Kednapa Coyle, Doug Bjerre, Lise M. The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title | The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title_full | The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title_fullStr | The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title_full_unstemmed | The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title_short | The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada |
title_sort | health system costs of potentially inappropriate prescribing: a population-based, retrospective cohort study using linked health administrative databases in ontario, canada |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018908/ https://www.ncbi.nlm.nih.gov/pubmed/31218653 http://dx.doi.org/10.1007/s41669-019-0143-2 |
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