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Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano

OBJECTIVE: Application of The Community Assessment Risk Screen (CARS) tool for detection of chronic elderly patients at risk of hospital readmission and the viability study for its inclusion in health information systems. DESIGN: Retrospective cohort study. LOCATION: Health Departments 6, 10, and 11...

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Autores principales: Ródenas, Francisco, Garcés, Jorge, Doñate-Martínez, Ascensión, Zafra, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985643/
https://www.ncbi.nlm.nih.gov/pubmed/24332509
http://dx.doi.org/10.1016/j.aprim.2013.07.010
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author Ródenas, Francisco
Garcés, Jorge
Doñate-Martínez, Ascensión
Zafra, Eduardo
author_facet Ródenas, Francisco
Garcés, Jorge
Doñate-Martínez, Ascensión
Zafra, Eduardo
author_sort Ródenas, Francisco
collection PubMed
description OBJECTIVE: Application of The Community Assessment Risk Screen (CARS) tool for detection of chronic elderly patients at risk of hospital readmission and the viability study for its inclusion in health information systems. DESIGN: Retrospective cohort study. LOCATION: Health Departments 6, 10, and 11 from the Valencia Community. PARTICIPANTS: Patients of 65 and over seen in 6 Primary Care centres in December 2008. The sample consisted of 500 patients (sampling error = ± 4.37%, sampling fraction = 1/307). VARIABLES: The CARS tools includes 3 items: Diagnostics (heart diseases, diabetes, myocardial infarction, stroke, COPD, cancer), number of prescribed drugs and hospital admissions or emergency room visits in the previous 6 months. The data came from SIA-Abucasis, GAIA and MDS, and were compared by Primary Care professionals. The end-point was hospital admission in 2009. RESULTS: CARS risk levels are related to future readmission (P < .001). The value of sensitivity and specificity is 0.64; the tool accurately identifies patients with low probability of being hospitalized in the future (negative predictive value = 0.91, diagnostic efficacy = 0.67), but has a positive predictive value of 0.24. CONCLUSIONS: CARS does not properly identify the population at high risk of hospital readmission. However, if it could be revised and the positive predictive value improved, it could be incorporated into the Primary Care computer systems and be useful in the initial screening and grouping of chronic patients at risk of hospital readmission.
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spelling pubmed-69856432020-01-30 Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano Ródenas, Francisco Garcés, Jorge Doñate-Martínez, Ascensión Zafra, Eduardo Aten Primaria Originales OBJECTIVE: Application of The Community Assessment Risk Screen (CARS) tool for detection of chronic elderly patients at risk of hospital readmission and the viability study for its inclusion in health information systems. DESIGN: Retrospective cohort study. LOCATION: Health Departments 6, 10, and 11 from the Valencia Community. PARTICIPANTS: Patients of 65 and over seen in 6 Primary Care centres in December 2008. The sample consisted of 500 patients (sampling error = ± 4.37%, sampling fraction = 1/307). VARIABLES: The CARS tools includes 3 items: Diagnostics (heart diseases, diabetes, myocardial infarction, stroke, COPD, cancer), number of prescribed drugs and hospital admissions or emergency room visits in the previous 6 months. The data came from SIA-Abucasis, GAIA and MDS, and were compared by Primary Care professionals. The end-point was hospital admission in 2009. RESULTS: CARS risk levels are related to future readmission (P < .001). The value of sensitivity and specificity is 0.64; the tool accurately identifies patients with low probability of being hospitalized in the future (negative predictive value = 0.91, diagnostic efficacy = 0.67), but has a positive predictive value of 0.24. CONCLUSIONS: CARS does not properly identify the population at high risk of hospital readmission. However, if it could be revised and the positive predictive value improved, it could be incorporated into the Primary Care computer systems and be useful in the initial screening and grouping of chronic patients at risk of hospital readmission. Elsevier 2014-01 2013-12-12 /pmc/articles/PMC6985643/ /pubmed/24332509 http://dx.doi.org/10.1016/j.aprim.2013.07.010 Text en © 2013 Elsevier España, S.L. Todos los derechos reservados. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Originales
Ródenas, Francisco
Garcés, Jorge
Doñate-Martínez, Ascensión
Zafra, Eduardo
Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title_full Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title_fullStr Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title_full_unstemmed Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title_short Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano
title_sort aplicación de the community assessment risk screen en centros de atención primaria del sistema sanitario valenciano
topic Originales
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985643/
https://www.ncbi.nlm.nih.gov/pubmed/24332509
http://dx.doi.org/10.1016/j.aprim.2013.07.010
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