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Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients

INTRODUCTION: Readmission is a poor outcome for both patients and healthcare systems. The association of certain sociocultural and demographic characteristics with likelihood of readmission is uncertain in general surgical patients. METHOD: A multi-centre retrospective cohort study of consecutive un...

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Autores principales: Kovoor, Joshua G., Bacchi, Stephen, Gupta, Aashray K., Nann, Silas D., Stretton, Brandon, Chong, Esther H. L., Hewitt, Joseph N., Bhanushali, Ameya, Nathin, Kayla, Aujayeb, Nidhi, Lu, Amy, Ovenden, Christopher D., John, Athul, Reid, Jessica L., Gluck, Samuel, Liew, Danny, Reddi, Benjamin A., Hugh, Thomas J., Dobbins, Christopher, Padbury, Robert T., Hewett, Peter J., Trochsler, Markus I., Maddern, Guy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694098/
https://www.ncbi.nlm.nih.gov/pubmed/37775572
http://dx.doi.org/10.1007/s00268-023-07177-0
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author Kovoor, Joshua G.
Bacchi, Stephen
Gupta, Aashray K.
Nann, Silas D.
Stretton, Brandon
Chong, Esther H. L.
Hewitt, Joseph N.
Bhanushali, Ameya
Nathin, Kayla
Aujayeb, Nidhi
Lu, Amy
Ovenden, Christopher D.
John, Athul
Reid, Jessica L.
Gluck, Samuel
Liew, Danny
Reddi, Benjamin A.
Hugh, Thomas J.
Dobbins, Christopher
Padbury, Robert T.
Hewett, Peter J.
Trochsler, Markus I.
Maddern, Guy J.
author_facet Kovoor, Joshua G.
Bacchi, Stephen
Gupta, Aashray K.
Nann, Silas D.
Stretton, Brandon
Chong, Esther H. L.
Hewitt, Joseph N.
Bhanushali, Ameya
Nathin, Kayla
Aujayeb, Nidhi
Lu, Amy
Ovenden, Christopher D.
John, Athul
Reid, Jessica L.
Gluck, Samuel
Liew, Danny
Reddi, Benjamin A.
Hugh, Thomas J.
Dobbins, Christopher
Padbury, Robert T.
Hewett, Peter J.
Trochsler, Markus I.
Maddern, Guy J.
author_sort Kovoor, Joshua G.
collection PubMed
description INTRODUCTION: Readmission is a poor outcome for both patients and healthcare systems. The association of certain sociocultural and demographic characteristics with likelihood of readmission is uncertain in general surgical patients. METHOD: A multi-centre retrospective cohort study of consecutive unique individuals who survived to discharge during general surgical admissions was conducted. Sociocultural and demographic variables were evaluated alongside clinical parameters (considered both as raw values and their proportion of change in the 1–2 days prior to admission) for their association with 7 and 30 days readmission using logistic regression. RESULTS: There were 12,701 individuals included, with 304 (2.4%) individuals readmitted within 7 days, and 921 (7.3%) readmitted within 30 days. When incorporating absolute values of clinical parameters in the model, age was the only variable significantly associated with 7-day readmission, and primary language and presence of religion were the only variables significantly associated with 30-day readmission. When incorporating change in clinical parameters between the 1–2 days prior to discharge, primary language and religion were predictive of 30-day readmission. When controlling for changes in clinical parameters, only higher comorbidity burden (represented by higher Charlson comorbidity index score) was associated with increased likelihood of 30-day readmission. CONCLUSIONS: Sociocultural and demographic patient factors such as primary language, presence of religion, age, and comorbidity burden predict the likelihood of 7 and 30-day hospital readmission after general surgery. These findings support early implementation a postoperative care model that integrates all biopsychosocial domains across multiple disciplines of healthcare. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00268-023-07177-0.
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spelling pubmed-106940982023-12-05 Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients Kovoor, Joshua G. Bacchi, Stephen Gupta, Aashray K. Nann, Silas D. Stretton, Brandon Chong, Esther H. L. Hewitt, Joseph N. Bhanushali, Ameya Nathin, Kayla Aujayeb, Nidhi Lu, Amy Ovenden, Christopher D. John, Athul Reid, Jessica L. Gluck, Samuel Liew, Danny Reddi, Benjamin A. Hugh, Thomas J. Dobbins, Christopher Padbury, Robert T. Hewett, Peter J. Trochsler, Markus I. Maddern, Guy J. World J Surg Original Scientific Report INTRODUCTION: Readmission is a poor outcome for both patients and healthcare systems. The association of certain sociocultural and demographic characteristics with likelihood of readmission is uncertain in general surgical patients. METHOD: A multi-centre retrospective cohort study of consecutive unique individuals who survived to discharge during general surgical admissions was conducted. Sociocultural and demographic variables were evaluated alongside clinical parameters (considered both as raw values and their proportion of change in the 1–2 days prior to admission) for their association with 7 and 30 days readmission using logistic regression. RESULTS: There were 12,701 individuals included, with 304 (2.4%) individuals readmitted within 7 days, and 921 (7.3%) readmitted within 30 days. When incorporating absolute values of clinical parameters in the model, age was the only variable significantly associated with 7-day readmission, and primary language and presence of religion were the only variables significantly associated with 30-day readmission. When incorporating change in clinical parameters between the 1–2 days prior to discharge, primary language and religion were predictive of 30-day readmission. When controlling for changes in clinical parameters, only higher comorbidity burden (represented by higher Charlson comorbidity index score) was associated with increased likelihood of 30-day readmission. CONCLUSIONS: Sociocultural and demographic patient factors such as primary language, presence of religion, age, and comorbidity burden predict the likelihood of 7 and 30-day hospital readmission after general surgery. These findings support early implementation a postoperative care model that integrates all biopsychosocial domains across multiple disciplines of healthcare. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00268-023-07177-0. Springer International Publishing 2023-09-29 2023 /pmc/articles/PMC10694098/ /pubmed/37775572 http://dx.doi.org/10.1007/s00268-023-07177-0 Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Scientific Report
Kovoor, Joshua G.
Bacchi, Stephen
Gupta, Aashray K.
Nann, Silas D.
Stretton, Brandon
Chong, Esther H. L.
Hewitt, Joseph N.
Bhanushali, Ameya
Nathin, Kayla
Aujayeb, Nidhi
Lu, Amy
Ovenden, Christopher D.
John, Athul
Reid, Jessica L.
Gluck, Samuel
Liew, Danny
Reddi, Benjamin A.
Hugh, Thomas J.
Dobbins, Christopher
Padbury, Robert T.
Hewett, Peter J.
Trochsler, Markus I.
Maddern, Guy J.
Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title_full Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title_fullStr Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title_full_unstemmed Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title_short Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients
title_sort sociocultural and demographic factors predict readmissions for general surgery patients
topic Original Scientific Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694098/
https://www.ncbi.nlm.nih.gov/pubmed/37775572
http://dx.doi.org/10.1007/s00268-023-07177-0
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