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  • 标题:A Supervised Pattern Analysis of the Length of Stay for Hip Replacement Admissions
  • 本地全文:下载
  • 作者:Dimitrios Zikos ; Ashara Shrestha ; Taylor Colotti
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2019
  • 卷号:7
  • 期号:2
  • 页码:1-14
  • DOI:10.3390/healthcare7020058
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:hip replacement; length of stay; hospital; Medicare; pattern analysis hip replacement ; length of stay ; hospital ; Medicare ; pattern analysis
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