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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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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. |
format | Online Article Text |
id | pubmed-6985643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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