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
To investigate the differences of open reduction and internal
fixation (ORIF) of complex AO Type C distal radius fractures between
two different models of a single implant type. A total of 136 patients who received either a 2.4 mm (n = 61)
or 3.5 mm (n = 75) distal radius locking compression plate (LCP
DR) using a volar approach were followed over two years. The main
outcome measurements included motion, grip strength, pain, and the
scores of Gartland and Werley, the Short-Form 36 (SF-36) and the
Disabilities of the Arm, Shoulder, and Hand (DASH). Differences
between the treatment groups were evaluated using regression analysis
and the likelihood ratio test with significance based on the Bonferroni
corrected p-value of <
0.003.Objectives
Methods
