The supply chain management of medical equipment and consumer goods is full of uncertainties and unexpected issues and one of the major challenges of hospitals is the suppliers’ evaluation and selection. study aimed to provide a model for selecting the best supplier in a hospital using a combination of artificial neural network and fuzzy VIKOR. This was a descriptive study conducted in a military hospital in three phases in 2016. The results showed that the most effective factor in supplier selection was ‘quality’ (weight = 0.165). After that, the highest weights were, respectively, related to ‘price’, ‘timely delivery’, ‘packaging and transporting quality’, ‘the supplier's background’ and ‘payment terms’. According to the results of the present study, the most important factor influencing the supplier selection was ‘quality’. Given the direct impact of medical equipment and consumer goods on patients’ recovery and nurses and physicians’ proper functioning and performance, it can be recommended that the hospital managers and the staff of purchasing unit should develop the quality assessment protocol of equipment and supplies and it should be evaluated periodically by nurses, physicians and patients.

Background Workplace violence is one of the factors which can strongly reduce job satisfaction and the quality of working life of nurses. The aim of this study was to measure nurses’ exposure to workplace violence in one of the major teaching hospitals in Tehran in 2010. Methods We surveyed the nurses in a cross-sectional design in 2010. The questionnaire was adapted from a standardized questionnaire designed collaboratively by the International Labor Office (ILO), the International Health Organization (IHO), the International Council of Nurses (ICN), and the Public Services International (PSI). Finally, in order to analyze the relationships among different variables in the study, T-test and Chi-Square test were used. Results Three hundred and one nurses responded to the questionnaire (a response rate of 73%). Over 70% of the nurses felt worried about workplace violence. The participants reported exposure to verbal abuse (64% CI: 59-70%), bullying-mobbing (29% CI: 24-34%) and physical violence (12% CI: 9-16%) at least once during the previous year. Relatives of hospital patients were responsible for most of the violence. Nurses working in the emergency department and outpatient clinics were more likely to report having experienced violence. Nurses were unlikely to report violence to hospital managers, and 40% of nurses were unaware of any existing policies within the hospital for reducing violence. Conclusion We observed a considerable level of nurse exposure to workplace violence. The high rate of reported workplace violence demonstrates that the existing safeguards that aim to protect the staff from abusive patients and relatives are inadequate.

Background: Hospital pharmacy is responsible for controlling and monitoring the medication use process and ensures the timely access to safe, effective and economical use of drugs and medicines for patients and hospital staff. Objectives: This study aimed to optimize the management of studied outpatient pharmacy by developing suitable queuing theory and simulation technique. Patients and Methods: A descriptive-analytical study conducted in a military hospital in Iran, Tehran in 2013. A sample of 220 patients referred to the outpatient pharmacy of the hospital in two shifts, morning and evening, was selected to collect the necessary data to determine the arrival rate, service rate, and other data needed to calculate the patients flow and queuing network performance variables. After the initial analysis of collected data using the software SPSS 18, the pharmacy queuing network performance indicators were calculated for both shifts. Then, based on collected data and to provide appropriate solutions, the queuing system of current situation for both shifts was modeled and simulated using the software ARENA 12 and 4 scenarios were explored. Results: Results showed that the queue characteristics of the studied pharmacy during the situation analysis were very undesirable in both morning and evening shifts. The average numbers of patients in the pharmacy were 19.21 and 14.66 in the morning and evening, respectively. The average times spent in the system by clients were 39 minutes in the morning and 35 minutes in the evening. The system utilization in the morning and evening were, respectively, 25% and 21%. The simulation results showed that reducing the staff in the morning from 2 to 1 in the receiving prescriptions stage didn't change the queue performance indicators. Increasing one staff in filling prescription drugs could cause a decrease of 10 persons in the average queue length and 18 minutes and 14 seconds in the average waiting time. On the other hand, simulation results showed that in the evening, decreasing the staff from 2 to 1 in the delivery of prescription drugs, changed the queue performance indicators very little. Increasing a staff to fill prescription drugs could cause a decrease of 5 persons in the average queue length and 8 minutes and 44 seconds in the average waiting time. Conclusions: The patients' waiting times and the number of patients waiting to receive services in both shifts could be reduced by using multitasking persons and reallocating them to the time-consuming stage of filling prescriptions, using queuing theory and simulation techniques. Keywords: Queuing Theory; Patient Simulation; Pharmacy; Hospitals

Factors contributing towards patient’s choice of a hospital clinic from the patients’ and managers’ perspective

Background: The expansion of outpatient services and the desire to provide more outpatient care than inpatient care create some problems such as the overcrowding in the outpatient clinics. Given the importance of overcrowding in the outpatient clinics, this qualitative study aimed to determine the factors influencing the overcrowding in the specialty and subspecialty clinic of a teaching hospital. Materials and Methods: This was a qualitative study conducted in the specialty and subspecialty clinic of a hospital using content analysis method in the period of January to March 2014. The study population was all managers and heads of the outpatient wards. The studied sample consisted of 22 managers of the clinic wards who were selected using the purposive sampling method. The required data was collected using semi-structured interviews. The collected data was analyzed using conventional content analysis and the MAXQDA 10.0 software. Results: Three themes were identified as the main factors affecting the overcrowding including the internal positive factors, internal negative factors, and external factors. Conclusions: Despite the efforts made to eliminate overcrowding, and reduce waiting times and increase access to the services for patients, the problem of overcrowding still has remained unresolved. In addition, the use of some strategies such as clarifying the working processes of the clinic for staff and patients and the relationships between the clinic and other wards especially emergency department, as well as using a simple triage system on the patients’ arrival at the clinic are recommended.

Objectives To determine the percentage of non-urgent (NU) visits in an Iranian emergency department (ED), to explore why patients with NU conditions refer to EDs and also to assess the association between patients’ characteristics and their visits. Design A cross sectional study based on face to face survey. Setting A territorial, teaching and military hospital in Tehran province, Iran. Participants and data collection All patients who visited the ED during the 2-week period were recruited. Data were collected using a validated questionnaire. Results Of 1884 patients who visited the ED, 1217 (64.6%) patients were triaged as NU while 667 (35.4%) were urgent and semiurgent visits cases. The most important reasons for NU visits were seeking prompt (36.6%) and less costly care (35.9%). We found that NU visits have increased with younger patients, during weekends and night shifts, and with patients suffering from recurrent symptoms lasting in 1 week or less. Conclusions EDs are a common source of care for NU problems in Iran. The most invaluable solution is building up special clinics for providing healthcare services to NU patients during the weekends and, in the busy and night shifts. Receiving higher fees from NU patients could also be adopted with caution. Promoting awareness and knowledge of both healthcare providers and patients about the main role of EDs will contribute in improving their performance. As a long-term solution, adopting the family physician programme and ameliorating the referral system are recommended.