Evidence map›Paper›PMID 30595781›Full record

ArticleCanadian geriatrics journal : CGJ2018

Improving Prediction of Risk of Admission to Long-Term Care or Mortality Among Home Care Users With IDD.

Hélène Ouellette-Kuntz, Elizabeth Stankiewicz, Michael McIsaac, Lynn Martin

Open access · diamondAbstract read
In one paragraph

Article in Canadian geriatrics journal : CGJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Hélène Ouellette-KuntzDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Elizabeth StankiewiczDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Michael McIsaacDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Lynn MartinDepartment of Health Sciences, Lakehead University, Thunder Bay, ON, Canada.
Queen's University · CALakehead University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is an established predictor of admission into long-term care (LTC) and mortality in the elderly population. Assessment of frailty among adults with intellectual and developmental disabilities (IDD) using a generic frailty marker may not be as predictive, as some lifelong disabilities associated with IDD may be interpreted as a sign of frailty. This study set out to determine if adding the Home Care-Intellectual and Developmental Disabilities Frailty Index (HC-IDD Frailty Index), developed for use in home care users with IDD, to a basic list of predictors (age, sex, rural status, and the Johns Hopkins Frailty Marker) increases the ability to predict admission to long-term care or death within one year.

methodsA retrospective cohort study was conducted using Residential Assessment Instrument for Home Care (RAI-HC) data for adult home care users with IDD who had a home care assessment between January 1, 2010 and December 31, 2013 (N = 6,169).

resultsThe HC-IDD Frailty Index was found to significantly improve prediction of transitions into LTC or death by explaining an additional 5.95% of the variance in such transitions among home care users with IDD (

conclusionsWe recommend the use of the HC-IDD Frailty Index in care planning and in further research related to the effectiveness of interventions to reduce or delay adverse age-related outcomes among adults with IDD.

Indexed as

agingdevelopmental disabilityfrailtyhome careintellectual disabilitylong-term caremortality

Identifiers

PMID30595781
PMCPMC6281379
OpenAlexW2904063131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.