Which part of a short, global risk assessment, the Risk Instrument for Screening in the Community, predicts adverse healthcare outcomes?

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dc.contributor.author O'Caoimh, Rónán
dc.contributor.author Fitzgerald, Carol
dc.contributor.author Cronin, Una
dc.contributor.author Svendrovski, Anton
dc.contributor.author Gao, Yang
dc.contributor.author Healy, Elizabeth
dc.contributor.author O'Connell, Elizabeth
dc.contributor.author O'Keeffe, Gabrielle
dc.contributor.author O'Herlihy, Eileen
dc.contributor.author Weathers, Elizabeth
dc.contributor.author Cornally, Nicola
dc.contributor.author Leahy-Warren, Patricia
dc.contributor.author Orfila, Francesc
dc.contributor.author Paul, Constanca
dc.contributor.author Clarnette, Roger
dc.contributor.author Molloy, D. William
dc.date.accessioned 2019-03-06T16:01:49Z
dc.date.available 2019-03-06T16:01:49Z
dc.date.issued 2015
dc.identifier.citation O'Caoimh, R., FitzGerald, C., Cronin, U., Svendrovski, A., Gao, Y., Healy, E., O'Connell, E., O'Keeffe, G., O'Herlihy, E., Weathers, E., Cornally, N., Leahy-Warren, P., Orfila, F., Paúl, C., Clarnette, R. and Molloy, D. W. (2015) 'Which Part of a Short, Global Risk Assessment, the Risk Instrument for Screening in the Community, Predicts Adverse Healthcare Outcomes?', Journal of Aging Research, 2015, 256414 (7 pp). doi: 10.1155/2015/256414 en
dc.identifier.volume 2015 en
dc.identifier.startpage 1 en
dc.identifier.endpage 7 en
dc.identifier.issn 2090-2204
dc.identifier.uri http://hdl.handle.net/10468/7567
dc.identifier.doi 10.1155/2015/256414
dc.description.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. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Hindawi Publishing en
dc.relation.uri https://www.hindawi.com/journals/jar/2015/256414/cta/
dc.rights © 2015 Rónán O’Caoimh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en
dc.subject Aged en
dc.subject Barthel index en
dc.subject Charlson Comorbidity Index en
dc.subject Clinical Frailty Scale en
dc.subject Community assessment en
dc.subject Controlled study en
dc.subject Daily life activity en
dc.subject Health care system en
dc.subject High risk population en
dc.subject Hospitalization en
dc.subject Institutionalization en
dc.subject Medical care en
dc.subject Mental health en
dc.subject Mortality en
dc.subject Prediction en
dc.subject Risk assessment en
dc.subject Risk Instrument for Screening in the Community en
dc.subject Sensitivity and specificity en
dc.title Which part of a short, global risk assessment, the Risk Instrument for Screening in the Community, predicts adverse healthcare outcomes? en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother David Molloy, Clinical Gerontology & Rehabilitation, University College Cork, Cork, Ireland. +353-21-490-3000 Email: w.molloy@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-03-06T15:55:20Z
dc.description.version Accepted Version en
dc.internal.rssid 476497532
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal Of Aging Research en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress w.molloy@ucc.ie en
dc.internal.IRISemailaddress ronan.ocaoimh@ucc.ie en
dc.identifier.articleid 256414

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