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Article: Describing the characteristics and healthcare use of high-cost acute care users at the end of life: a pan-Canadian population-based study

TitleDescribing the characteristics and healthcare use of high-cost acute care users at the end of life: a pan-Canadian population-based study
Authors
KeywordsAcute care
End of life
High-cost user
Issue Date2020
Citation
BMC Health Services Research, 2020, v. 20, n. 1, article no. 997 How to Cite?
AbstractBackground: A minority of individuals use a large portion of health system resources, incurring considerable costs, especially in acute-care hospitals where a significant proportion of deaths occur. We sought to describe and contrast the characteristics, acute-care use and cost in the last year of life among high users and non-high users who died in hospitals across Canada. Methods: We conducted a population-based retrospective-cohort study of Canadian adults aged ≥18 who died in hospitals across Canada between fiscal years 2011/12–2014/15. High users were defined as patients within the top 10% of highest cumulative acute-care costs in each fiscal year. Patients were categorized as: persistent high users (high-cost in death year and year prior), non-persistent high users (high-cost in death year only) and non-high users (never high-cost). Discharge abstracts were used to measure characteristics and acute-care use, including number of hospitalizations, admissions to intensive-care-unit (ICU), and alternate-level-of-care (ALC). Results: We identified 191,310 decedents, among which 6% were persistent high users, 41% were non-persistent high users, and 46% were non-high users. A larger proportion of high users were male, younger, and had multimorbidity than non-high users. In the last year of life, persistent high users had multiple hospitalizations more often than other groups. Twenty-eight percent of persistent high users had ≥2 ICU admissions, compared to 8% of non-persistent high users and only 1% of non-high users. Eleven percent of persistent high users had ≥2 ALC admissions, compared to only 2% of non-persistent high users and < 1% of non-high users. High users received an in-hospital intervention more often than non-high users (36% vs. 19%). Despite representing only 47% of the cohort, persistent and non-persistent high users accounted for 83% of acute-care costs. Conclusions: High users – persistent and non-persistent – are medically complex and use a disproportionate amount of acute-care resources at the end of life. A greater understanding of the characteristics and circumstances that lead to persistently high use of inpatient services may help inform strategies to prevent hospitalizations and off-set current healthcare costs while improving patient outcomes.
Persistent Identifierhttp://hdl.handle.net/10722/346966

 

DC FieldValueLanguage
dc.contributor.authorQureshi, Danial-
dc.contributor.authorIsenberg, Sarina-
dc.contributor.authorTanuseputro, Peter-
dc.contributor.authorMoineddin, Rahim-
dc.contributor.authorQuinn, Kieran-
dc.contributor.authorMeaney, Christopher-
dc.contributor.authorMcGrail, Kimberlyn-
dc.contributor.authorSeow, Hsien-
dc.contributor.authorWebber, Colleen-
dc.contributor.authorFowler, Robert-
dc.contributor.authorHsu, Amy-
dc.date.accessioned2024-09-17T04:14:29Z-
dc.date.available2024-09-17T04:14:29Z-
dc.date.issued2020-
dc.identifier.citationBMC Health Services Research, 2020, v. 20, n. 1, article no. 997-
dc.identifier.urihttp://hdl.handle.net/10722/346966-
dc.description.abstractBackground: A minority of individuals use a large portion of health system resources, incurring considerable costs, especially in acute-care hospitals where a significant proportion of deaths occur. We sought to describe and contrast the characteristics, acute-care use and cost in the last year of life among high users and non-high users who died in hospitals across Canada. Methods: We conducted a population-based retrospective-cohort study of Canadian adults aged ≥18 who died in hospitals across Canada between fiscal years 2011/12–2014/15. High users were defined as patients within the top 10% of highest cumulative acute-care costs in each fiscal year. Patients were categorized as: persistent high users (high-cost in death year and year prior), non-persistent high users (high-cost in death year only) and non-high users (never high-cost). Discharge abstracts were used to measure characteristics and acute-care use, including number of hospitalizations, admissions to intensive-care-unit (ICU), and alternate-level-of-care (ALC). Results: We identified 191,310 decedents, among which 6% were persistent high users, 41% were non-persistent high users, and 46% were non-high users. A larger proportion of high users were male, younger, and had multimorbidity than non-high users. In the last year of life, persistent high users had multiple hospitalizations more often than other groups. Twenty-eight percent of persistent high users had ≥2 ICU admissions, compared to 8% of non-persistent high users and only 1% of non-high users. Eleven percent of persistent high users had ≥2 ALC admissions, compared to only 2% of non-persistent high users and < 1% of non-high users. High users received an in-hospital intervention more often than non-high users (36% vs. 19%). Despite representing only 47% of the cohort, persistent and non-persistent high users accounted for 83% of acute-care costs. Conclusions: High users – persistent and non-persistent – are medically complex and use a disproportionate amount of acute-care resources at the end of life. A greater understanding of the characteristics and circumstances that lead to persistently high use of inpatient services may help inform strategies to prevent hospitalizations and off-set current healthcare costs while improving patient outcomes.-
dc.languageeng-
dc.relation.ispartofBMC Health Services Research-
dc.subjectAcute care-
dc.subjectEnd of life-
dc.subjectHigh-cost user-
dc.titleDescribing the characteristics and healthcare use of high-cost acute care users at the end of life: a pan-Canadian population-based study-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1186/s12913-020-05837-8-
dc.identifier.pmid33129316-
dc.identifier.scopuseid_2-s2.0-85095386568-
dc.identifier.volume20-
dc.identifier.issue1-
dc.identifier.spagearticle no. 997-
dc.identifier.epagearticle no. 997-
dc.identifier.eissn1472-6963-

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