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Effects of behavioural risk factors on high-cost users of healthcare: a population-based study

OBJECTIVES: High-cost users (HCUs) are known to disproportionally incur the majority of healthcare utilization costs relative to their counterparts. A number of studies have highlighted the detrimental effects of risky health behaviours; however, only a few have demonstrated the link to HCUs, a mean...

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Autores principales: Alberga, Amanda, Holder, Laura, Kornas, Kathy, Bornbaum, Catherine, Rosella, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182334/
https://www.ncbi.nlm.nih.gov/pubmed/30232715
http://dx.doi.org/10.17269/s41997-018-0127-5
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author Alberga, Amanda
Holder, Laura
Kornas, Kathy
Bornbaum, Catherine
Rosella, Laura
author_facet Alberga, Amanda
Holder, Laura
Kornas, Kathy
Bornbaum, Catherine
Rosella, Laura
author_sort Alberga, Amanda
collection PubMed
description OBJECTIVES: High-cost users (HCUs) are known to disproportionally incur the majority of healthcare utilization costs relative to their counterparts. A number of studies have highlighted the detrimental effects of risky health behaviours; however, only a few have demonstrated the link to HCUs, a meaningful endpoint for program and policy decision-makers. We investigated the association between health behaviour risks and downstream high-cost healthcare utilization. METHODS: A combined cohort of participants from the Canadian Community Health Survey (CCHS) cycles 2005–2009 was linked to future population-based health administrative data in Ontario. Using person-centered costing methodology, CCHS respondents were ranked according to healthcare utilization costs and categorized as ever having HCU status in the 4 years following interview. Logistic regression models were used to estimate the association between various health behaviours on future HCU status. RESULTS: Models estimated that smoking and physical inactivity were associated with a significant increase in the odds of becoming an HCU. Compared to individual behaviours, increasing the number of health behaviour risks significantly strengthened the odds of becoming an HCU in subsequent years. CONCLUSION: The analyses provide evidence that upstream health behaviours affect high-cost healthcare utilization. Health behaviours are a meaningful target for health promotion programs and policies. These findings can inform decision-makers on appropriate behavioural targets for those on an HCU trajectory and promote public health efforts to support healthcare system sustainability.
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spelling pubmed-61823342018-10-22 Effects of behavioural risk factors on high-cost users of healthcare: a population-based study Alberga, Amanda Holder, Laura Kornas, Kathy Bornbaum, Catherine Rosella, Laura Can J Public Health Special Section on Epidemiology and Biostatistics: Quantitative Research OBJECTIVES: High-cost users (HCUs) are known to disproportionally incur the majority of healthcare utilization costs relative to their counterparts. A number of studies have highlighted the detrimental effects of risky health behaviours; however, only a few have demonstrated the link to HCUs, a meaningful endpoint for program and policy decision-makers. We investigated the association between health behaviour risks and downstream high-cost healthcare utilization. METHODS: A combined cohort of participants from the Canadian Community Health Survey (CCHS) cycles 2005–2009 was linked to future population-based health administrative data in Ontario. Using person-centered costing methodology, CCHS respondents were ranked according to healthcare utilization costs and categorized as ever having HCU status in the 4 years following interview. Logistic regression models were used to estimate the association between various health behaviours on future HCU status. RESULTS: Models estimated that smoking and physical inactivity were associated with a significant increase in the odds of becoming an HCU. Compared to individual behaviours, increasing the number of health behaviour risks significantly strengthened the odds of becoming an HCU in subsequent years. CONCLUSION: The analyses provide evidence that upstream health behaviours affect high-cost healthcare utilization. Health behaviours are a meaningful target for health promotion programs and policies. These findings can inform decision-makers on appropriate behavioural targets for those on an HCU trajectory and promote public health efforts to support healthcare system sustainability. Springer International Publishing 2018-09-19 /pmc/articles/PMC6182334/ /pubmed/30232715 http://dx.doi.org/10.17269/s41997-018-0127-5 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted 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 Special Section on Epidemiology and Biostatistics: Quantitative Research
Alberga, Amanda
Holder, Laura
Kornas, Kathy
Bornbaum, Catherine
Rosella, Laura
Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title_full Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title_fullStr Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title_full_unstemmed Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title_short Effects of behavioural risk factors on high-cost users of healthcare: a population-based study
title_sort effects of behavioural risk factors on high-cost users of healthcare: a population-based study
topic Special Section on Epidemiology and Biostatistics: Quantitative Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182334/
https://www.ncbi.nlm.nih.gov/pubmed/30232715
http://dx.doi.org/10.17269/s41997-018-0127-5
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