Evidence map›Paper›PMID 33129316›Full record

ArticleBMC health services research2020

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

Danial Qureshi, Sarina Isenberg, Peter Tanuseputro, Rahim Moineddin, Kieran Quinn, Christopher Meaney, Kimberlyn McGrail, Hsien Seow, Colleen Webber, Robert Fowler and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Danial QureshiClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada. qureshdt@mcmaster.ca.ORCID http://orcid.org/0000-0001-5703-2220
Sarina IsenbergInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Peter TanuseputroClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Rahim MoineddinDepartment of Medicine, Division of Internal Medicine, University of Toronto, Toronto, ON, Canada.
Kieran QuinnInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Christopher MeaneyDepartment of Medicine, Division of Internal Medicine, University of Toronto, Toronto, ON, Canada.
Kimberlyn McGrailCentre for Health Services and Policy Research, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Hsien SeowDepartment of Oncology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Colleen WebberClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Robert FowlerDepartment of Medicine, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Amy HsuClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.

Funding

CIHR CIHR SDA-156943
6 · The paper itself

Abstract

backgroundA 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.

methodsWe 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).

resultsWe 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.

conclusionsHigh 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.

Indexed as

Critical CareTerminal CareAdolescentAdultAgedAged, 80 and overCanadaFemaleHealth Care CostsHospitalizationHumansInpatientsIntensive Care UnitsMaleMiddle AgedPatient DischargeAcute careEnd of lifeHigh-cost user

Identifiers

PMID33129316
PMCPMC7603700

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.