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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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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. |
format | Online Article Text |
id | pubmed-10694098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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