The increase in prescription opioid misuse and dependence is now a public health crisis in the UK. It is recognized as a whole-person problem that involves both the medical and the psychosocial needs of patients. Analyzing aspects of pathophysiology, emotional health, and social wellbeing associated with persistent opioid use after injury may inform safe and effective alleviation of pain while minimizing risk of misuse or dependence. Our objectives were to investigate patient factors associated with opioid use two to four weeks and six to nine months after an upper limb fracture. A total of 734 patients recovering from an isolated upper limb fracture were recruited in this study. Opioid prescription was documented retrospectively for the period preceding the injury, and prospectively at the two- to four-week post-injury visit and six- to nine-month post-injury visit. Bivariate and multivariate analysis sought factors associated with opioid prescription from demographics, injury-specific data, Patient Reported Outcome Measurement Instrumentation System (PROMIS), Depression computer adaptive test (CAT), PROMIS Anxiety CAT, PROMIS Instrumental Support CAT, the Pain Catastrophizing Scale (PCS), the Pain Self-efficacy Questionnaire (PSEQ-2), Tampa Scale for Kinesiophobia (TSK-11), and measures that investigate levels of social support.Aims
Methods
There is growing clinical and policy emphasis on minimizing transfusion use in elective joint arthroplasty, but little is known about the degree to which transfusion rates vary across US hospitals. This study aimed to assess hospital-level variation in use of allogeneic blood transfusion in patients undergoing elective joint arthroplasty, and to characterize the extent to which variability is attributable to differences in patient and hospital characteristics. The study population included 228,316 patients undergoing total knee arthroplasty (TKA) at 922 hospitals and 88,081 patients undergoing total hip arthroplasty (THA) at 606 hospitals from January 1, 2009, to December 31, 2011, in the Nationwide Inpatient Sample database, a 20% stratified sample of US community hospitals.Background
Methods
Inpatient dislocation after total hip arthroplasty (THA) is considered a non-reimbursable “never event” by the Centers for Medicare and Medicaid Services. There is extensive evidence that technical procedural factors affect dislocation risk, but less is known about the influence of non-technical factors. We evaluated inpatient dislocation trends following elective primary THA, and identified patient and hospital characteristics associated with the occurrence of dislocation. We used discharge records from the Nationwide Inpatient Sample (2002–2011). Temporal trends were assessed and multivariable logistic regression modeling was used to identify factors associated with dislocation.Background
Methods
Using inaccurate quotations can propagate misleading
information, which might affect the management of patients. The
aim of this study was to determine the predictors of quotation inaccuracy
in the peer-reviewed orthopaedic literature related to the scaphoid.
We randomly selected 100 papers from ten orthopaedic journals. All references
were retrieved in full text when available or otherwise excluded.
Two observers independently rated all quotations from the selected
papers by comparing the claims made by the authors with the data
and expressed opinions of the reference source. A statistical analysis
determined which article-related factors were predictors of quotation
inaccuracy. The mean total inaccuracy rate of the 3840 verified
quotes was 7.6%. There was no correlation between the rate of inaccuracy
and the impact factor of the journal. Multivariable analysis identified
the journal and the type of study (clinical, biomechanical, methodological,
case report or review) as important predictors of the total quotation
inaccuracy rate. We concluded that inaccurate quotations in the peer-reviewed
orthopaedic literature related to the scaphoid were common and slightly
more so for certain journals and certain study types. Authors, reviewers
and editorial staff play an important role in reducing this inaccuracy.
