Hip fracture care is complex multi-disciplinary. We hypothesise that quality of care is affected by variance in resources between ‘in-hours’ (Monday-Friday, 0800–1700) and ‘out-of-hours’ services. This prospective multicentre national cohort study assessed quality of care by evaluating adherence to the evidence-based Scottish Standards of Care for Hip Fracture Patients. Data was collected by the Scottish Hip Fracture Audit for 15174 patients admitted to any of 22 Scottish hospitals from January 2014-April 2018. 11197/15174 (73.8%) patients were admitted out-of-hours. They were significantly less likely to meet the following Standards: ED Big-6-Bundle (OR 0.85, p= 0.002); Time in ED <4 hours (OR 0.76, p< 0.001); avoidance of repeated fasting (OR 0.80, p< 0.001), and avoidance of prolonged fluid fasting (OR 0.83, p< 0.001). Out-of-hours admissions were more likely to receive: geriatric assessment <3 days (OR 1.16, p< 0.001); OT input <3 days (OR 1.10, p= 0.013), and PT input <2 days (OR 1.44, p< 0.001). There were no significant differences for: Time to Theatre <36 hours; Inpatient Care Bundle <24 hours, and Post-op Day 1 Mobilisation. Quality of hip fracture care is affected by time of admission. ED care is poorer out-of-hours, which may reflect limited resources, and out-of-hours admissions are more likely to be excessive fasted excessively. Weekday in-hours admissions are less likely to receive geriatric and allied health professional input in the days following admission, which may reflect the reduced weekend services. Examination of out-of-hours service organisation is required for the pursuit of consistent, equitable care for hip fracture patients.
We investigated the excess mortality risk associated with fractures of the hip. Data related to 29 134 patients who underwent surgery following a fracture of the hip were obtained from the Scottish Hip Fracture Audit database. Fractures due to primary or metastatic malignancy were excluded. An independent database (General Register Office (Scotland)) was used to validate dates of death. The observed deaths per 100 000 of the population were then calculated for each group (gender, age and fracture type) at various time intervals up to eight years. A second database (Interim Life Tables for Scotland, Scottish Government) was then used to create standardised mortality ratios. Analysis showed that mortality in patients aged >
85 years with a fracture of the hip tended to return to the level of the background population between two and five years after the fracture. In those patients aged <
85 years excess mortality associated with hip fracture persisted beyond eight years. Extracapsular hip fractures and male gender also conferred increased risk.
We have investigated how medical postponement, the time to surgery and the correction of medical abnormalities, according to McLaughlin criteria, before operation affected peri-operative mortality after fracture of the hip. From February to December 2007, in addition to core data, the Scottish Hip Fracture Audit collected information relating to surgical delay. Data were available for 4284 patients which allowed 30-day survival analysis to be performed. Multivariable logistic regression models were used to control for differences in case-mix. Patients with major clinical abnormalities were more likely to have a postponement and had a lower unadjusted 30-day survival. The time to operation and postponement were not associated with higher mortality after adjustment for case-mix. Correction of major clinical abnormalities before surgery improved the adjusted survival, but this improvement was not significant (p = 0.10). Postponement without correction of a medical abnormality before surgery was associated with a significantly lower (p = 0.006) 30-day adjusted survival. The possible benefits of postponement need to be weighed against prolonged discomfort for the patient and the possibility of the development of other complications.
We investigated the relationship between a number of patient and management variables and mortality after surgery for fracture of the hip. Data relating to 18 817 patients were obtained from the Scottish Hip Fracture Audit database. We divided variables into two categories, depending on whether they were case-mix (age; gender; fracture type; pre-fracture residence; pre-fracture mobility and ASA scores) or management variables (time from fracture to surgery; time from admission to surgery; grade of surgical and anaesthetic staff undertaking the procedure and anaesthetic technique). Multivariate logistic regression analysis showed that all case-mix variables were strongly associated with post-operative mortality, even when controlling for the effects of the remaining variables. Inclusion of the management variables into the case-mix base regression model provided no significant improvement to the model. Patient case-mix variables have the most significant effect on post-operative mortality and unfortunately such variables cannot be modified by pre-operative medical interventions.
We report gender differences in the epidemiology and outcome after hip fracture from the Scottish Hip Fracture Audit, with data on admission and at 120 days follow-up from 22 orthopaedic units across the country between 1998 and 2005. Outcome measures included early mortality, length of hospital stay, 120-day residence and mobility. A multivariate logistic regression model compared outcomes between genders. The study comprised 25 649 patients of whom 5674 (22%) were men and 19 975 (78%) were women. The men were in poorer pre-operative health, despite being younger at presentation (mean 77 years (60 to 101) Multivariate analysis indicated that the men were less likely to return to their home or mobilise independently at the 120-day follow-up. Mortality at 30 and 120 days was higher for men, even after differences in case-mix variables between genders were considered.