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DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.

Nearly 50% of U.S. elders are prefrail and at risk for frailty. Identifying prefrail elders and escalating care could attenuate frailty progression. Screening tools are seldom used in practice. Thus, clinical judgment may be a realistic way to ensure widespread frailty screening. No studies, however...

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Autores principales: Hu, Yi-Ling, Fritz, Heather A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846558/
http://dx.doi.org/10.1093/geroni/igz038.3280
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author Hu, Yi-Ling
Fritz, Heather A
author_facet Hu, Yi-Ling
Fritz, Heather A
author_sort Hu, Yi-Ling
collection PubMed
description Nearly 50% of U.S. elders are prefrail and at risk for frailty. Identifying prefrail elders and escalating care could attenuate frailty progression. Screening tools are seldom used in practice. Thus, clinical judgment may be a realistic way to ensure widespread frailty screening. No studies, however, have assessed the validity of clinicians’ judgment in identifying prefrail elders. This study explored the level of agreement between clinical judgments of frailty status and status categorizations made using the validated Paulson Lichtenberg Frailty Index (PLFI). Older Blacks (n = 202) recruited from a primary care clinic were first categorized as healthy, pre-frail, or frail using the PLFI. Next, geriatric physicians and nurses categorized participants into one of the same categories based on clinical judgment. Clinicians could use medical records to make determinations. We used Cohen’s Kappa to determine the level of agreement of both approaches. We used descriptive statistics to explore if any of the 5 PLFI indicators explained discordant categorizations. Of the 202 participants (mean age: 76.7 8.6), 52 (26%) were prefrail and 57 (28%) were frail based on the PLFI. Physicians’ judgments aligned with the PLFI in 43% of prefrail and 65.7% of frail cases. Nurse judgments aligned with the PLFI in 43.9% of prefrail and 17% of frail cases. There was slight to fair agreement between clinical judgments and PLFI (physicians Cohen’s κ = .23; Nurses Cohen’s κ = .59). No specific PLFI indicators independently explained discordant categorizations. Findings suggest that clinical judgments did not align well with PLFI categorizations.
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spelling pubmed-68465582019-11-18 DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX. Hu, Yi-Ling Fritz, Heather A Innov Aging Session Lb1545 (Late Breaking Poster) Nearly 50% of U.S. elders are prefrail and at risk for frailty. Identifying prefrail elders and escalating care could attenuate frailty progression. Screening tools are seldom used in practice. Thus, clinical judgment may be a realistic way to ensure widespread frailty screening. No studies, however, have assessed the validity of clinicians’ judgment in identifying prefrail elders. This study explored the level of agreement between clinical judgments of frailty status and status categorizations made using the validated Paulson Lichtenberg Frailty Index (PLFI). Older Blacks (n = 202) recruited from a primary care clinic were first categorized as healthy, pre-frail, or frail using the PLFI. Next, geriatric physicians and nurses categorized participants into one of the same categories based on clinical judgment. Clinicians could use medical records to make determinations. We used Cohen’s Kappa to determine the level of agreement of both approaches. We used descriptive statistics to explore if any of the 5 PLFI indicators explained discordant categorizations. Of the 202 participants (mean age: 76.7 8.6), 52 (26%) were prefrail and 57 (28%) were frail based on the PLFI. Physicians’ judgments aligned with the PLFI in 43% of prefrail and 65.7% of frail cases. Nurse judgments aligned with the PLFI in 43.9% of prefrail and 17% of frail cases. There was slight to fair agreement between clinical judgments and PLFI (physicians Cohen’s κ = .23; Nurses Cohen’s κ = .59). No specific PLFI indicators independently explained discordant categorizations. Findings suggest that clinical judgments did not align well with PLFI categorizations. Oxford University Press 2019-11-08 /pmc/articles/PMC6846558/ http://dx.doi.org/10.1093/geroni/igz038.3280 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session Lb1545 (Late Breaking Poster)
Hu, Yi-Ling
Fritz, Heather A
DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title_full DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title_fullStr DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title_full_unstemmed DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title_short DETECTING PRE-FRAILTY STATUS: COMPARISON OF CLINICAL JUDGMENTS AND THE PAULSON LICHTENBERG FRAILTY INDEX.
title_sort detecting pre-frailty status: comparison of clinical judgments and the paulson lichtenberg frailty index.
topic Session Lb1545 (Late Breaking Poster)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846558/
http://dx.doi.org/10.1093/geroni/igz038.3280
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