Literature DB >> 24866847

Determinants of time to surgery for patients with hip fracture.

Justin Zeltzer1, Rebecca J Mitchell, Barbara Toson, Ian A Harris, Jacqueline Close.   

Abstract

BACKGROUND: Guidelines for hip fracture care suggest that patients with hip fracture should undergo surgery on the day of or day after admission to hospital. This study examined factors affecting time to surgery for hip fracture extracted from existing administrative datasets in New South Wales (NSW), Australia.
METHOD: A retrospective analysis of patients with hip fracture aged 65 years and over undergoing surgical intervention in NSW public hospitals between 1 July 2000 and 30 June 2011. A multinomial logistic model was used to identify factors impacting on time to surgery from 1 July 2006 to 30 June 2011.
RESULTS: A total of 49,317 hip fracture procedures were recorded during 2000-2001 to 2010-2011. Sixty-four per cent of patients received operative treatment on the day of or day after admission. Co-morbidity, type of surgical procedure and day of presentation all impacted significantly on time to surgery. Fourteen per cent required an inter-hospital transfer prior to receiving operative intervention. Transferred patients were 2.6 (95% confidence interval (CI): 2.31-2.85) times more likely to wait 2-4 days and 3.2 times more likely to wait 5 or more days (95% CI: 2.77-3.76) for surgery compared with patients presenting to an operating hospital.
CONCLUSION: Significant variation exists between hospitals in the time to surgery that is not solely explained by measures of case mix or geography. Opportunities exist to consider other factors contributing to this variation and to ensure timely access to surgical intervention in the future.
© 2014 Royal Australasian College of Surgeons.

Entities:  

Keywords:  accidental falls; co-morbidity; geriatrics; hip fractures; patient care management

Mesh:

Year:  2014        PMID: 24866847     DOI: 10.1111/ans.12671

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  8 in total

1.  In-hospital mortality after hip fracture by treatment setting.

Authors:  Katie J Sheehan; Boris Sobolev; Pierre Guy; Lisa Kuramoto; Suzanne N Morin; Jason M Sutherland; Lauren Beaupre; Donald Griesdale; Michael Dunbar; Eric Bohm; Edward Harvey
Journal:  CMAJ       Date:  2016-10-17       Impact factor: 8.262

2.  Analysis of the effects of a delay of surgery in patients with hip fractures: outcome and causes.

Authors:  S Lieten; A Herrtwich; B Bravenboer; T Scheerlinck; S Van Laere; J Vanlauwe
Journal:  Osteoporos Int       Date:  2021-05-14       Impact factor: 4.507

3.  Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?

Authors:  Sanjit R Konda; Joseph R Johnson; Erin A Kelly; Jeffrey Chan; Thomas Lyon; Kenneth A Egol
Journal:  Geriatr Orthop Surg Rehabil       Date:  2020-08-05

4.  Temporal Trends in Hip Fractures: How Has Time-to-Surgery Changed?

Authors:  Suresh K Nayar; Majd Marrache; Jarred A Bressner; Micheal Raad; Babar Shafiq; Uma Srikumaran
Journal:  Arch Bone Jt Surg       Date:  2021-03

Review 5.  Patient and system factors of time to surgery after hip fracture: a scoping review.

Authors:  Katie J Sheehan; Boris Sobolev; Yuri F Villán Villán; Pierre Guy
Journal:  BMJ Open       Date:  2017-08-21       Impact factor: 2.692

6.  The Tyranny of Distance: How Hospital Transfer Affects Time to Surgery for Hip Fracture Patients.

Authors:  Melanie A Marley; Anton Lambers; Ian Marley; Lisa Welthy; Hannah Seymour
Journal:  Cureus       Date:  2022-02-27

7.  Evaluation of Systemwide Improvement Programs to Optimize Time to Surgery for Patients With Hip Fractures: A Systematic Review.

Authors:  Pariswi Tewari; Brian F Sweeney; Jacie L Lemos; Lauren Shapiro; Michael J Gardner; Arden M Morris; Laurence C Baker; Alex S Harris; Robin N Kamal
Journal:  JAMA Netw Open       Date:  2022-09-01

8.  Deepening our Understanding of Quality in Australia (DUQuA): a study protocol for a nationwide, multilevel analysis of relationships between hospital quality management systems and patient factors.

Authors:  Natalie Taylor; Robyn Clay-Williams; Emily Hogden; Victoria Pye; Zhicheng Li; Oliver Groene; Rosa Suñol; Jeffrey Braithwaite
Journal:  BMJ Open       Date:  2015-12-07       Impact factor: 2.692

  8 in total

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