Bedside ultrasonography (BUS) has been widely used in many emergency evaluations, but the technique was not thoroughly evaluated for use in adult fractures. The water bath technique (WBT) is a modality which overcomes some important limitations of using BUS in extremity fractures. The study aims to evaluate and compare diagnostic values of BUS and WBT. The sensitivity, specificity, positive and negative predictive values (PPV and NPV), positive and negative likelihood ratios (LR+ and LR-), and accuracy of BUS and WBT were calculated and compared by the McNemar chi-square test. BUS had the highest sensitivity, specificity, PPV, and LR+ in the distal forearm. The highest NPV and LR- of BUS were seen in phalangeal and wrist injuries, respectively. The WBT examination had the highest sensitivity in phalangeal injuries and the highest specificity, PPV, and LR+ in the distal forearm. The highest NPV and LR- of the WBT examination were seen in phalangeal and wrist injuries, respectively. The McNemar χ (2) values for the comparison of BUS and WBT indicate that the two techniques provide statistically different results. The ultrasound revealed excellent diagnostic values which make it a favorable alternative in evaluating upper extremity fractures in adults. The WBT provides even better results.

BackgroundPicture archiving and communication system (PACS) has allowed the medical images to be transmitted, stored, retrieved, and displayed in different locations of a hospital or health system. Using PACS in the emergency department will eventually result in improved efficiency and patient care. In spite of the abundant benefits of employing PACS, there are some challenges in implementing this technology like users’ resistance to accept the technology, which has a critical role in PACS success.ObjectivesIn this study, we will assess and compare user acceptance of PACS in the emergency departments of three different hospitals and investigate the effect of socio-demographic factors on this acceptance.Materials and MethodsA variant of technology acceptance model (TAM) has been used in order to measure the acceptance level of PACS in the emergency department of three educational hospitals in Iran. A previously used questionnaire was validated and utilized to collect the study data. A stepwise multiple regression model was used to predict factors influencing acceptance score as the dependent variable.ResultsMean age of participants was 32.9 years (standard deviation [SD] = 6.08). Participants with the specialty degree got a higher acceptance score than the three other groups (Mean ± SD = 4.17 ± 0.20). Age, gender, degree of PACS usage and participant’s occupation (profession) did not influence the acceptance score. In our multiple regression model, all three variables of perceived usefulness (PU), perceived ease of use (PEU) and the effect of PACS (change) had a significant effect in the prediction of acceptance. The most influencing factor was change with the beta of 0.22 (P value < 0.001).ConclusionPACS is highly accepted in all three emergency departments especially among specialists. PU, PEU and change are factors influencing PACS acceptance. Our study can be used as an evidence of PACS acceptance in emergency wards.

BackgroundHospital readmission places a high burden on both health care systems and patients. Most readmissions are thought to be related to the quality of the health care system.ObjectivesThe aim of this study was to examine the causes and rates of early readmission in emergency department in a Tehran hospital.Patients and MethodsA cross-sectional investigation was performed to study readmission of inpatients at a large academic hospital in Tehran, Iran. Patients admitted to hospital from July 1, 2014 to December 30, 2014 via the emergency department were enrolled. Descriptive statistics were used to summarize the distribution demographics in the sample. Data was analyzed by chi2 test using SPSS 20 software.ResultsThe main cause of readmission was complications related to surgical procedures (31.0%). Discharge from hospital based on patient request at the patient's own risk was a risk factor for emergency readmission in 8.5%, a very small number were readmitted after complete treatment (0.6%). The only direct complication of treatment was infection (17%).ConclusionsPostoperative complications increase the probability of patients returning to hospital. Physicians, nurses, etc., should focus on these specific patient populations to minimize the risk of postoperative complications. Future studies should assess the relative connections of various types of patient information (e.g., social and psychosocial factors) to readmission risk prediction by comparing the performance of models with and without this information in a specific population.

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Objective: Chloride is the major plasma anion. There are several methods available for the determination of serum chloride levels. Unfortunately these methods are sometimes not available in the urgent setting where values are needed. Here we describe a formula for estimating plasma chloride levels. Methods: Fifty-two consecutive patients were enrolled for which serum chloride levels were estimated using the formula CL -= (Na + + 10 -TBB), and also measured directly through the colorimetric method. Correlation between the two values was analyzed using Pearson correlation coefficient and agreement was shown in the Bland-Altman plot. Results:Comparing the values achieved through estimation and laboratory determination of plasma chloride revealed a significant correlation (r = 0.97). Consistent agreement was described within -4.8 and +6.6 on the Bland-Altman plot throughout the measurements. Conclusion:The formula presented here may be a reliable alternative to direct measurement of serum chloride when direct results are not available