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Open AccessArticle

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

School of Health Sciences, Central Michigan University, Mt. Pleasant, MI 48859, USA
Computer Science Department, University of Texas at Arlington, Arlington, TX 76019, USA
Author to whom correspondence should be addressed.
Healthcare 2019, 7(2), 58;
Received: 21 March 2019 / Revised: 2 April 2019 / Accepted: 4 April 2019 / Published: 6 April 2019
(This article belongs to the Special Issue Feature Papers in Healthcare in 2019)
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. View Full-Text
Keywords: hip replacement; length of stay; hospital; Medicare; pattern analysis hip replacement; length of stay; hospital; Medicare; pattern analysis
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Zikos, D.; Shrestha, A.; Colotti, T.; Fegaras, L. A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions. Healthcare 2019, 7, 58.

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