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A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions

Hip replacement is the most common surgical procedure among Medicare patients in the US and worldwide. The hospital length of stay (LOS) for hip replacement admissions is therefore important to be controlled, contributing to savings for hospitals. This study combined medical claims and hospital stru...

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Autores principales: Zikos, Dimitrios, Shrestha, Ashara, Colotti, Taylor, Fegaras, Leonidas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628359/
https://www.ncbi.nlm.nih.gov/pubmed/30959926
http://dx.doi.org/10.3390/healthcare7020058
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author Zikos, Dimitrios
Shrestha, Ashara
Colotti, Taylor
Fegaras, Leonidas
author_facet Zikos, Dimitrios
Shrestha, Ashara
Colotti, Taylor
Fegaras, Leonidas
author_sort Zikos, Dimitrios
collection PubMed
description Hip replacement is the most common surgical procedure among Medicare patients in the US and worldwide. The hospital length of stay (LOS) for hip replacement admissions is therefore important to be controlled, contributing to savings for hospitals. This study combined medical claims and hospital structure and service data to examine LOS fluctuations and trends, and admission distribution patterns, during weekdays, for hip replacement cases. The study furthermore examined associations of these patterns with the LOS performance. Most hospitals were found to admit hip replacement cases at the start of the week (Monday through Wednesday). There is an upward LOS trend as we approach late weekday admissions. Multiple linear regression analysis showed that LOS weekday inconsistencies, a large proportion of hip replacement admissions on Thursday and Friday, the government ownership status, the bed size, and the critical access status are associated with an increased LOS. On the other hand, the rate of hip replacement admissions over total ones, and the hospital being accredited, are associated with a lower LOS. Findings stress out the need for hospitals to maintain an effective and balanced distribution of hip replacement admissions, evenly during the week, and the need for standardized case management, to avoid practice variability and, therefore, LOS fluctuations for their hip replacement cases.
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spelling pubmed-66283592019-07-23 A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions Zikos, Dimitrios Shrestha, Ashara Colotti, Taylor Fegaras, Leonidas Healthcare (Basel) Article Hip replacement is the most common surgical procedure among Medicare patients in the US and worldwide. The hospital length of stay (LOS) for hip replacement admissions is therefore important to be controlled, contributing to savings for hospitals. This study combined medical claims and hospital structure and service data to examine LOS fluctuations and trends, and admission distribution patterns, during weekdays, for hip replacement cases. The study furthermore examined associations of these patterns with the LOS performance. Most hospitals were found to admit hip replacement cases at the start of the week (Monday through Wednesday). There is an upward LOS trend as we approach late weekday admissions. Multiple linear regression analysis showed that LOS weekday inconsistencies, a large proportion of hip replacement admissions on Thursday and Friday, the government ownership status, the bed size, and the critical access status are associated with an increased LOS. On the other hand, the rate of hip replacement admissions over total ones, and the hospital being accredited, are associated with a lower LOS. Findings stress out the need for hospitals to maintain an effective and balanced distribution of hip replacement admissions, evenly during the week, and the need for standardized case management, to avoid practice variability and, therefore, LOS fluctuations for their hip replacement cases. MDPI 2019-04-06 /pmc/articles/PMC6628359/ /pubmed/30959926 http://dx.doi.org/10.3390/healthcare7020058 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zikos, Dimitrios
Shrestha, Ashara
Colotti, Taylor
Fegaras, Leonidas
A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title_full A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title_fullStr A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title_full_unstemmed A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title_short A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
title_sort supervised pattern analysis of the length of stay for hip replacement admissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628359/
https://www.ncbi.nlm.nih.gov/pubmed/30959926
http://dx.doi.org/10.3390/healthcare7020058
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