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Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy

BACKGROUND: One quality indicator of hospital care, which can be used to judge the process of care, is the prevalence of hospital readmission because it reflects the impact of hospital care on the patient’s condition after discharge. The purposes of the study were to measure the prevalence of hospit...

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Autores principales: Bianco, Aida, Molè, Antonio, Nobile, Carmelo G. A., Di Giuseppe, Gabriella, Pileggi, Claudia, Angelillo, Italo F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487865/
https://www.ncbi.nlm.nih.gov/pubmed/23133624
http://dx.doi.org/10.1371/journal.pone.0048263
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author Bianco, Aida
Molè, Antonio
Nobile, Carmelo G. A.
Di Giuseppe, Gabriella
Pileggi, Claudia
Angelillo, Italo F.
author_facet Bianco, Aida
Molè, Antonio
Nobile, Carmelo G. A.
Di Giuseppe, Gabriella
Pileggi, Claudia
Angelillo, Italo F.
author_sort Bianco, Aida
collection PubMed
description BACKGROUND: One quality indicator of hospital care, which can be used to judge the process of care, is the prevalence of hospital readmission because it reflects the impact of hospital care on the patient’s condition after discharge. The purposes of the study were to measure the prevalence of hospital readmissions, to identify possible factors that influence such readmission and to measure the prevalence of readmissions potentially avoidable in Italy. METHODS: A sample of 2289 medical records of patients aged 18 and over admitted for medical or surgical illness at one 502-bed community non-teaching hospital were randomly selected. RESULTS: A total of 2252 patients were included in the final analysis, equaling a response rate of 98.4%. The overall hospital readmission prevalence within 30 days of discharge was 10.2%. Multivariate logistic regression analysis revealed that the proportion of patients readmitted within 30 days of discharge significantly increased regardless of Charlson et al. comorbidity score, among unemployed or retired patients, and in patients in general surgery. A total of 43.7% hospital readmissions were judged to be potentially avoidable. Multivariate logistic regression analysis showed that potentially avoidable readmissions were significantly higher in general surgery, in patients referred to hospital by an emergency department physician, and in those with a shortened time between discharge and readmission. CONCLUSION: Additional research on intervention or bundle of interventions applicable to acute inpatient populations that aim to reduce potentially avoidable readmissions is strongly needed, and health care providers are urged to implement evidence-based programs for more cost-effective delivery of health care.
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spelling pubmed-34878652012-11-06 Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy Bianco, Aida Molè, Antonio Nobile, Carmelo G. A. Di Giuseppe, Gabriella Pileggi, Claudia Angelillo, Italo F. PLoS One Research Article BACKGROUND: One quality indicator of hospital care, which can be used to judge the process of care, is the prevalence of hospital readmission because it reflects the impact of hospital care on the patient’s condition after discharge. The purposes of the study were to measure the prevalence of hospital readmissions, to identify possible factors that influence such readmission and to measure the prevalence of readmissions potentially avoidable in Italy. METHODS: A sample of 2289 medical records of patients aged 18 and over admitted for medical or surgical illness at one 502-bed community non-teaching hospital were randomly selected. RESULTS: A total of 2252 patients were included in the final analysis, equaling a response rate of 98.4%. The overall hospital readmission prevalence within 30 days of discharge was 10.2%. Multivariate logistic regression analysis revealed that the proportion of patients readmitted within 30 days of discharge significantly increased regardless of Charlson et al. comorbidity score, among unemployed or retired patients, and in patients in general surgery. A total of 43.7% hospital readmissions were judged to be potentially avoidable. Multivariate logistic regression analysis showed that potentially avoidable readmissions were significantly higher in general surgery, in patients referred to hospital by an emergency department physician, and in those with a shortened time between discharge and readmission. CONCLUSION: Additional research on intervention or bundle of interventions applicable to acute inpatient populations that aim to reduce potentially avoidable readmissions is strongly needed, and health care providers are urged to implement evidence-based programs for more cost-effective delivery of health care. Public Library of Science 2012-11-02 /pmc/articles/PMC3487865/ /pubmed/23133624 http://dx.doi.org/10.1371/journal.pone.0048263 Text en © 2012 Bianco et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bianco, Aida
Molè, Antonio
Nobile, Carmelo G. A.
Di Giuseppe, Gabriella
Pileggi, Claudia
Angelillo, Italo F.
Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title_full Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title_fullStr Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title_full_unstemmed Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title_short Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy
title_sort hospital readmission prevalence and analysis of those potentially avoidable in southern italy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487865/
https://www.ncbi.nlm.nih.gov/pubmed/23133624
http://dx.doi.org/10.1371/journal.pone.0048263
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