CJEM Articles: Eric Grafstein

Objective: Our primary objective was to determine the effectiveness of 3 immobilization methods (circumferential casting [CC], volar–dorsal splinting [VDS] and modified sugartong [MST] splinting) in maintaining the position of displaced distal radius fractures after successful closed reduction. Our secondary objective was to assess longterm functional outcomes associated with immobilization with fibreglass splinting versus standard CC in patients maintaining initial nonoperative reductions.

Methods: We conducted a prospective randomized singleblind controlled trial in patients over 18 years of age who presented to the emergency department with a displaced fracture of the distal radius requiring closed reduction. The primary outcome was loss of reduction (defined as radiologic slippage or the need for surgical fixation during the 3–4 week primary immobilization period after initial successful reduction). Secondary outcomes included DASH (disabilities of the arm, shoulder and hand) score, return to work, activities of daily living, wrist pain, range of motion and grip strength assessed at 8 weeks and 6 months.

Results: Thirty participants were randomly assigned to receive MST splinting, 31 to receive VDS and 40 to receive CC. Baseline characteristics were similar among groups. Radiographic loss of reduction occurred in 16% (95% confidence interval [CI] 3.1%–28.9%) of participants in the VDS group, 20% (95% CI 7.6%–32.4%) in the CC group and 30% (95% CI 13.6%–46.4%) in the MST splinting group (p = 0.17). Based on multivariate analysis of variance, functional outcomes at 8 weeks were similar among groups (p = 0.89). DASH scores at 8 weeks and 6 months were similar among groups, based on 1way analysis of variance (p > 0.25).

Conclusion: Rates of loss in anatomic position were not statistically significant among the 3 types of dressings used. However, there was a clinically important trend of increased loss of reduction with the use of MST splinting. Functional outcomes at 8 weeks and 6 months were not significantly different between CC, VDS and MDS splinting. Ease of application and familiarity with use should guide clinical decisions when choosing a dressing type for displaced Colles fractures.

Background: A reliable emergency department (ED) workload measurement tool would provide a method of quantifying clinical productivity for performance evaluation and physician incentive programs; it would enable health administrators to measure ED outputs; and it could provide the basis for an equitable formula to estimate ED physician staffing requirements. Our objectives were to identify predictors that correlate with physician time needed to treat patients and to develop a multivariable model to predict physician workload.

Methods: During 31 day, evening, night and weekend shifts, a research assistant (RA) shadowed 20 emergency physicians, documenting time spent performing clinical and non-clinical functions for 585 patient visits. The RA recorded key predictors including patient gender, age, vital signs and Glasgow Coma Scale (GCS) score, and the mode of arrival, triage level assigned, comorbidity and procedures performed. Multiple linear regression was used to describe the associations between predictor variables and total physician time per patient visit (TPPV), and to derive an equation for physician workload. Model derivation was based on 16 shifts and 314 patient visits; model validation was based on 15 shifts and 271 additional patient visits.

Results: The strongest predictor variables were: procedure required, triage level, arrival by ambulance, GCS, age, any comorbidity, and number of prior visits. The derived regression equation is: TPPV = 29.7 + 8.6 (procedure required [Yes]) - 3.8 (triage level [1-5]) + 7.1 (ambulance arrival) - 1.1 (GCS [3-15]) + 0.1 (age in years) - 0.05 (n of previous visits) + 3.1 (any comorbidity). This model predicted 31.3% of the variance in physician TPPV (F [12, 29] = 13.2; p < 0.0001).

Conclusions: This study clarifies important determinants of emergency physician workload. If validated in other settings, the predictive formula derived and internally validated here is a potential alternative to current simplistic models based solely on patient volume and perceived acuity. An evidence-based workload estimation tool like that described here could facilitate ED productivity measurement, benchmarking, physician performance evaluation, and provide the substrate for an equitable formula to estimate ED physician staffing requirements.