Evidence map›Paper›PMID 26346934›Full record

ArticleJournal of aging research2015

Which Part of a Short, Global Risk Assessment, the Risk Instrument for Screening in the Community, Predicts Adverse Healthcare Outcomes?

Rónán O'Caoimh, Carol FitzGerald, Una Cronin, Anton Svendrovski, Yang Gao, Elizabeth Healy, Elizabeth O'Connell, Gabrielle O'Keeffe, Eileen O'Herlihy, Elizabeth Weathers and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of aging research, 2015. 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
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Validation of the Risk Instrument for Screening in the Community (International journal of environmental research and public health · 2023
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Perceived Risk of Mental Health Problems in Primary Care.Frontiers in aging neuroscience · 2015
    Article
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

16 authors at 5 institutions in 4 countries.

Rónán O'CaoimhCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland ; COLLAGE (Collaboration on Ageing), University College Cork, Cork City and Louth Age Friendly County Initiative, County Louth, Ireland.
Carol FitzGeraldCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland.
Una CroninCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland.
Anton SvendrovskiUZIK Consulting Inc., 86 Gerrard Street E, Unit 12D, Toronto, ON, Canada M5B 2J1.
Yang GaoCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland.
Elizabeth HealyCentre for Public Health Nursing, Ballincollig and Bishopstown, County Cork, Ireland.
Elizabeth O'ConnellCentre for Public Health Nursing, Mahon and Ballintemple, Cork, Ireland.
Gabrielle O'KeeffeHealth Service Executive, South Lee, St. Finbarr's Hospital, Cork, Ireland.
Eileen O'HerlihyCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland.
Elizabeth WeathersCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland ; School of Nursing & Midwifery, University College Cork, Brookfield Health Sciences Complex, College Road, Cork, Ireland.
Nicola CornallyCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland ; School of Nursing & Midwifery, University College Cork, Brookfield Health Sciences Complex, College Road, Cork, Ireland.
Patricia Leahy-WarrenSchool of Nursing & Midwifery, University College Cork, Brookfield Health Sciences Complex, College Road, Cork, Ireland.
Francesc OrfilaPrimary Healthcare University Research Institute, IDIAP Jordi Gol, Barcelona, Spain.
Constança PaúlUNIFAI/ICBAS, Institute of Biomedical Sciences Abel Salazar, University of Porto, 4050-313 Porto, Portugal.
Roger ClarnetteSchool of Medicine and Pharmacology, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia.
D William MolloyCentre for Gerontology and Rehabilitation, University College Cork, St. Finbarr's Hospital, Douglas Road, Cork, Ireland ; COLLAGE (Collaboration on Ageing), University College Cork, Cork City and Louth Age Friendly County Initiative, County Louth, Ireland.
University College Cork · IESt. Finbarr's Hospital · IEInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESUniversidade do Porto · PTUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Risk Instrument for Screening in the Community (RISC) is a short, global risk assessment to identify community-dwelling older adults' one-year risk of institutionalisation, hospitalisation, and death. We investigated the contribution that the three components of the RISC (concern, its severity, and the ability of the caregiver network to manage concern) make to the accuracy of the instrument, across its three domains (mental state, activities of daily living (ADL), and medical state), by comparing their accuracy to other assessment instruments in the prospective Community Assessment of Risk and Treatment Strategies study. RISC scores were available for 782 patients. Across all three domains each subtest more accurately predicted institutionalisation compared to hospitalisation or death. The caregiver network's ability to manage ADL more accurately predicted institutionalisation (AUC 0.68) compared to hospitalisation (AUC 0.57, P = 0.01) or death (AUC 0.59, P = 0.046), comparing favourably with the Barthel Index (AUC 0.67). The severity of ADL (AUC 0.63), medical state (AUC 0.62), Clinical Frailty Scale (AUC 0.67), and Charlson Comorbidity Index (AUC 0.66) scores had similar accuracy in predicting mortality. Risk of hospitalisation was difficult to predict. Thus, each component, and particularly the caregiver network, had reasonable accuracy in predicting institutionalisation. No subtest or assessment instrument accurately predicted risk of hospitalisation.

Identifiers

PMID26346934
PMCPMC4540996
OpenAlexW1636813661

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.