Timing of Hip Fracture Surgery and 30-Day Outcomes

Orthopedics. 2016 Nov 1;39(6):361-368. doi: 10.3928/01477447-20160719-07. Epub 2016 Jul 27.

Abstract

The goal of this study was to determine the proportion of patients admitted with a hip fracture to participating American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) hospitals who were treated within the United Kingdom's National Institute for Health and Care Excellence (NICE) time-to-hip-fracture-surgery benchmark. The secondary goals were to identify factors associated with missing the benchmark and to determine whether the benchmark was associated with improved 30-day patient outcomes. Patients aged 60 years or older who underwent hip fracture surgery between 2005 and 2013 were identified from the ACS-NSQIP database. Of the 26,066 patients who met the enrollment criteria, 71.4% were treated within the NICE benchmark. Many variables, including sex, race, procedure type, and hip fracture diagnosis, were statistically significant predictors of missing the benchmark (P<.001). Meeting the NICE benchmark was not associated with reductions in major complications (odds ratio [OR], 0.93; 95% confidence interval [CI], 0.83-1.05; P=.234); however, it was associated with reductions in 30-day mortality (OR, 0.88; 95% CI, 0.78-0.99; P=.028), minor complications (OR, 0.92; 95% CI, 0.84-0.995; P=.038), and postoperative length of stay (beta=-0.77; P<.001). Current practice at participating ACS-NSQIP hospitals is compatible with the NICE time-to-surgery benchmark. However, the findings highlight the importance of further prospective investigation to monitor the effect of early-treatment benchmarks on 30-day patient outcomes. [Orthopedics. 2016; 39(6):361-368.].

MeSH terms

  • Aged
  • Aged, 80 and over
  • Benchmarking
  • Databases, Factual
  • Female
  • Hip Fractures / surgery*
  • Humans
  • Male
  • Middle Aged
  • Orthopedic Procedures / adverse effects*
  • Orthopedic Procedures / mortality
  • Postoperative Complications / mortality*
  • Quality Improvement
  • Time Factors
  • Time-to-Treatment
  • United Kingdom