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Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study

BACKGROUND: Health interventions and policies for high-cost health care users (HCUs) who are older adults need to be informed by a better understanding of their multimorbidity and medication use. This study aims to determine the financial contribution of medications to HCU expenditures and explore w...

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Autores principales: Lee, Justin, Muratov, Sergei, Tarride, Jean-Eric, Paterson, J. Michael, Thavorn, Kednapa, Mbuagbaw, Lawrence, Gomes, Tara, Khuu, Wayne, Seow, Hsien, Thabane, Lehana, Holbrook, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Joule Inc. or its licensors 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843076/
https://www.ncbi.nlm.nih.gov/pubmed/33436455
http://dx.doi.org/10.9778/cmajo.20190196
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author Lee, Justin
Muratov, Sergei
Tarride, Jean-Eric
Paterson, J. Michael
Thavorn, Kednapa
Mbuagbaw, Lawrence
Gomes, Tara
Khuu, Wayne
Seow, Hsien
Thabane, Lehana
Holbrook, Anne
author_facet Lee, Justin
Muratov, Sergei
Tarride, Jean-Eric
Paterson, J. Michael
Thavorn, Kednapa
Mbuagbaw, Lawrence
Gomes, Tara
Khuu, Wayne
Seow, Hsien
Thabane, Lehana
Holbrook, Anne
author_sort Lee, Justin
collection PubMed
description BACKGROUND: Health interventions and policies for high-cost health care users (HCUs) who are older adults need to be informed by a better understanding of their multimorbidity and medication use. This study aims to determine the financial contribution of medications to HCU expenditures and explore whether potentially inappropriate prescribing is associated with incident HCU development. METHODS: This is a protocol for a retrospective population-based matched cohort analysis of incident older adult HCUs (those with the highest 5% of costs and 66 years of age or older) in Ontario during fiscal year 2013. We will obtain person-level data for the index year and year before HCU status from health administrative databases and match each HCU to 3 non-HCUs based on age, sex and geographic location. Average annual medication costs (per patient) and the ratio of medication to total health care costs (at population level) will be examined over the HCU transition period and compared with non-HCUs. We will explore potential quality improvement areas for prescribing by analyzing chronic conditions and the use of medications with a strong evidence base for either clinical benefit or risk of harms outweighing benefits in older adults with these diagnoses. The relation between these medication classes and incident HCU status will be explored using logistic regression. INTERPRETATION: Using a matched cohort design and focusing on incident rather than prevalent HCUs, this protocol will explore our hypotheses that medications and the quality of their prescribing may be important triggers of HCU status and facilitate the identification of potential preventive clinical interventions or policies. Dissemination of results will occur via publications in peer-reviewed journals, presentations at conferences and academic settings, and knowledge translation activities with relevant health system and patient stakeholder groups. STUDY REGISTRATION: Clinicaltrials.gov, no. NCT02815930
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spelling pubmed-78430762021-01-30 Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study Lee, Justin Muratov, Sergei Tarride, Jean-Eric Paterson, J. Michael Thavorn, Kednapa Mbuagbaw, Lawrence Gomes, Tara Khuu, Wayne Seow, Hsien Thabane, Lehana Holbrook, Anne CMAJ Open Research BACKGROUND: Health interventions and policies for high-cost health care users (HCUs) who are older adults need to be informed by a better understanding of their multimorbidity and medication use. This study aims to determine the financial contribution of medications to HCU expenditures and explore whether potentially inappropriate prescribing is associated with incident HCU development. METHODS: This is a protocol for a retrospective population-based matched cohort analysis of incident older adult HCUs (those with the highest 5% of costs and 66 years of age or older) in Ontario during fiscal year 2013. We will obtain person-level data for the index year and year before HCU status from health administrative databases and match each HCU to 3 non-HCUs based on age, sex and geographic location. Average annual medication costs (per patient) and the ratio of medication to total health care costs (at population level) will be examined over the HCU transition period and compared with non-HCUs. We will explore potential quality improvement areas for prescribing by analyzing chronic conditions and the use of medications with a strong evidence base for either clinical benefit or risk of harms outweighing benefits in older adults with these diagnoses. The relation between these medication classes and incident HCU status will be explored using logistic regression. INTERPRETATION: Using a matched cohort design and focusing on incident rather than prevalent HCUs, this protocol will explore our hypotheses that medications and the quality of their prescribing may be important triggers of HCU status and facilitate the identification of potential preventive clinical interventions or policies. Dissemination of results will occur via publications in peer-reviewed journals, presentations at conferences and academic settings, and knowledge translation activities with relevant health system and patient stakeholder groups. STUDY REGISTRATION: Clinicaltrials.gov, no. NCT02815930 Joule Inc. or its licensors 2021-01-12 /pmc/articles/PMC7843076/ /pubmed/33436455 http://dx.doi.org/10.9778/cmajo.20190196 Text en Copyright 2021, Joule Inc. or its licensors This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Research
Lee, Justin
Muratov, Sergei
Tarride, Jean-Eric
Paterson, J. Michael
Thavorn, Kednapa
Mbuagbaw, Lawrence
Gomes, Tara
Khuu, Wayne
Seow, Hsien
Thabane, Lehana
Holbrook, Anne
Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title_full Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title_fullStr Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title_full_unstemmed Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title_short Medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort HiCOSTT study
title_sort medication use and its impact on high-cost health care users among older adults: protocol for the population-based matched cohort hicostt study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843076/
https://www.ncbi.nlm.nih.gov/pubmed/33436455
http://dx.doi.org/10.9778/cmajo.20190196
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