Evidence map›Paper›PMID 33262118›Full record

ArticleCMAJ open

A comparison of 3 frailty measures and adverse outcomes in the intake home care population: a retrospective cohort study.

Chi-Ling Joanna Sinn, George Heckman, Jeffrey W Poss, Graziano Onder, Davide Liborio Vetrano, John Hirdes

Open access · diamondAbstract readComparative Study
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  11. Before the COVID-Vaccine-Vulnerable Elderly in Homecare.Nursing reports (Pavia, Italy) · 2022
    Article
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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

6 authors at 3 institutions in 3 countries.

Chi-Ling Joanna SinnSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden cjsinn@uwaterloo.ca.
George HeckmanSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Jeffrey W PossSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Graziano OnderSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Davide Liborio VetranoSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
John HirdesSchool of Public Health and Health Systems (Sinn, Heckman, Poss, Hirdes), University of Waterloo; Research Institute for Aging (Heckman), Waterloo, Ont.; Department of Cardiovascular, Metabolic and Aging Diseases (Onder), Istituto Superiore di Sanità, Rome, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Vetrano), Università Cattolica del Sacro Cuore, Rome, Italy; Aging Research Center (Vetrano), Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
University of Waterloo · CAAgostino Gemelli University Polyclinic · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Ontario, Canada, nearly all home care patients are assessed with a brief clinical assessment (interRAI Contact Assessment [interRAI CA]) on admission. Our objective was to compare 3 frailty measures that can be operationalized using the interRAI CA.

methodsWe conducted a retrospective cohort study using linked patient-level assessment and administrative data for all Ontario adult (≥ 18 yr) home care patients assessed with the interRAI CA in 2014. We employed multivariable logistic models to compare the Changes in Health, End-stage disease and Signs and Symptoms Scale for the Contact Assessment (CHESS-CA), Assessment Urgency Algorithm (AUA) and the Frailty Index for the Contact Assessment (FI-CA) that was created for this study. Our outcomes of interest were death, hospital admission and emergency department visits within 90 days, and assessor-rated need for comprehensive geriatric assessment (CGA).

resultsIn 2014, there were 228 679 unique adult home care patients in Ontario assessed with the interRAI CA. Controlling for age, sex and health region, being in a higher frailty level defined by any measure increased the likelihood of experiencing adverse outcomes. Among all assessments, CHESS-CA was best suited for predicting death and hospital admission, and either AUA or FI-CA for predicting perceived need for CGA. Previous emergency department visits were more predictive of future visits than frailty. Model fit was independent of whether the assessment was completed over the phone or in person.

interpretationFrailty measures from the interRAI CA identified patients at higher risk for death, hospital admission and perceived need for CGA. In jurisdictions where the CHESS-CA and AUA are already built into the electronic home care platform, such as Ontario, patients identified as high risk should be prioritized for proactive referral and care planning, and may benefit from greater involvement of primary care and other health professionals in the circle of care.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHealth Status DisparitiesHome Care ServicesHospitalizationHumansLong-Term CareMaleMiddle AgedOntarioOutcome Assessment, Health Care

Identifiers

PMID33262118
PMCPMC7721251
OpenAlexW3109433748

What OpenQuestion holds

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Registered trials

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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.