Zeev Rotstein, MD, MHA, Rachel Wilf-Miron, MD, MPH, Bruno Lavi BA, Daniel S. Seidman, MD, MMSc, Poriah Shahaf, MD, MBA, Amir Shahar, MD, MPH, Uri Gabay, MD, MPH and Shlomo Noy, MD, MBA
Background: The emergency department is one of the hospital’s busiest facilities and is frequently described as a bottleneck. Management by constraint is a managerial methodology that helps to focus on the most critical issues by identifying such bottlenecks. Based on this theory, the benefit of adding medical staff may depend on whether or not physician availability is the bottleneck in the system.
Objective: To formulate a dynamic statistical model to forecast the need for allocating additional medical staff to improve the efficacy of work in the emergency department, taking into account patient volume.
Methods: The daily number of non-trauma admissions to the general ED was assessed for the period 1 January 1992 to 1 December 1995 using the hospital computerized database. The marginal benefit to shortening patient length of stay in the ED by adding a physician during the evening shift was examined for different patient volumes. Data were analyzed with the SAS software package using a Gross Linear Model.
Results: The addition of a physician to the ED staff from noon to midnight significantly shortened patient LOS: an average decrease of 6.61 minutes for 80–119 admissions (P<0.001). However, for less than 80 or more than 120 admissions, adding a physician did not have a significant effect on LOS in the ED.
Conclusions: The dynamic model formulated in this study shows that patient volume determines the effectiveness of investing manpower in the ED. Identifying bottleneck critical factors, as suggested by the theory of constraints, may be useful for planning and coordinating emergency services that operate under stressful and unpredictable conditions. Consideration of patient volume may also provide ED managers with a logical basis for staffing and resource allocation.
Moshe Wald, MD, Sarel Halachmi, MD, Gilad Amiel, MD, Shahar Madjar, MD, Michael Mullerad, MD, Ines Miselevitz, MD, Boaz Moskovitz, MD and Ofer Nativ, MD
Background: The bladder tumor antigen stat is a simple and fast one-step immunochromatographic assay for the detection of bladder tumor-associated antigen in urine.
Objectives: To evaluate the BTA stat in non-bladder cancer patients in order to identify the categories contributing to its low specificity.
Methods: A single voided urine sample was collected from 45 patients treated in the urology clinic for conditions not related to bladder cancer. Each urine sample was examined by BTA stat test and cytology.
Results: The overall specificity of the BTA stat test was 44%, which was significantly lower than that of urine cytology, 90%. The false positive rates for BTA stat test vary among the different clinical categories, being highest in cases of urinary tract calculi (90%), and benign prostatic hypertrophy (73%). Exclusion of these categories from data analysis improved BTA stat specificity to 66%.
Conclusions: Clinical categories contributing to low BTA stat specificity can be identified, and their exclusion improves the specificity of this test.