Evidence map›Paper›PMID 38041046›Full record

ArticleBMC geriatrics2023

Development and validation of risk of CPS decline (RCD): a new prediction tool for worsening cognitive performance among home care clients in Canada.

Dawn M Guthrie, Nicole Williams, Hannah M O'Rourke, Joseph B Orange, Natalie Phillips, M Kathleen Pichora-Fuller, Marie Y Savundranayagam, Rinku Sutradhar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 1 country.

Dawn M GuthrieDepartment of Kinesiology & Physical Education, Wilfrid Laurier University, Waterloo, ON, Canada.
Nicole WilliamsDepartment of Kinesiology & Physical Education, Wilfrid Laurier University, Waterloo, ON, Canada.
Hannah M O'RourkeCollege of Health Sciences, Faculty of Nursing, University of Alberta, Edmonton, AB, Canada.
Joseph B OrangeSchool of Communication Sciences and Disorders, Western University, London, ON, Canada.
Natalie PhillipsDepartment of Psychology, Centre for Research in Human Development, Concordia University, Montreal, QC, Canada.
M Kathleen Pichora-FullerDepartment of Psychology, University of Toronto, Mississauga, ON, Canada.
Marie Y SavundranayagamSchool of Health Studies, Western University, London, ON, Canada.
Rinku SutradharInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
University of Toronto · CAWestern University · CAWilfrid Laurier University · CAConcordia University · CAUniversity of Alberta · CA

Funding

CIHR 163902
6 · The paper itself

Abstract

backgroundTo develop and validate a prediction tool, or nomogram, for the risk of a decline in cognitive performance based on the interRAI Cognitive Performance Scale (CPS).

methodsRetrospective, population-based, cohort study using Canadian Resident Assessment Instrument for Home Care (RAI-HC) data, collected between 2010 and 2018. Eligible home care clients, aged 18+, with at least two assessments were selected randomly for model derivation (75%) and validation (25%). All clients had a CPS score of zero (intact) or one (borderline intact) on intake into the home care program, out of a possible score of six. All individuals had to remain as home care recipients for the six months observation window in order to be included in the analysis. The primary outcome was any degree of worsening (i.e., increase) on the CPS score within six months. Using the derivation cohort, we developed a multivariable logistic regression model to predict the risk of a deterioration in the CPS score. Model performance was assessed on the validation cohort using discrimination and calibration plots.

resultsWe identified 39,292 eligible home care clients, with a median age of 79.0 years, 62.3% were female, 38.8% were married and 38.6% lived alone. On average, 30.3% experienced a worsening on the CPS score within the six-month window (i.e., a change from 0 or 1 to 2, 3, 4, 5, or 6). The final model had good discrimination (c-statistic of 0.65), with excellent calibration.

conclusionsThe model accurately predicted the risk of deterioration on the CPS score over six months among home care clients. This type of predictive model may provide useful information to support decisions for home care clinicians who use interRAI data internationally.

Indexed as

Home Care ServicesAgedCanadaCognitionCohort StudiesFemaleHumansMaleRetrospective StudiesCognitive Performance ScaleDecision supportHome careinterRAIPrediction toolStandardized assessment

Identifiers

PMID38041046
PMCPMC10693097
OpenAlexW4389248251

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.