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BACKGROUND: In terms of missions, hospitals are divided into teaching and nonteaching. In addition, differences in health-care systems in countries will lead to differences in hospitals' operation. Iran, as a specific health-care system, is different from other countries. Hence, the present study investigated differences between teaching and nonteaching hospitals and their differences in Iran and the world. MATERIALS AND METHODS: A concurrent mixed-methods study was conducted in two stages. The first stage was a narrative review of studies (2000-2020). Using narrative inquiry and reflective analysis, the content was analyzed and the categories were extracted. The second stage was a qualitative study conducted using semi-structured interviews with forty Iranian hospital managers and policymakers through a purposive sampling in 2020. Content analysis was made using deductive approach, and MAXQDA 12 was used for data analysis. RESULTS: According to the first stage, categories were extracted as follows: service quality, type of cases, patient satisfaction, efficiency, performance indicators, patient safety, personnel, use of drugs, access to services, technologies, justice in the type of services received, using guidelines, processes, and number of services. In the second stage, 8 main categories, 17 categories, and 45 subcategories were extracted. The extracted main categories were as follows: mission and target, management and behavioral organizations, supply chain and chain of results, human resources, costs and budget, policy demands, clients' satisfaction and patients' right, and integration of medical education. CONCLUSION: Unlike other countries, in Iran, the combination of missions and the complete dependence of teaching hospitals on the government has caused differences. Reducing the treatment mission of teaching hospitals; differences in the budget and development of its indicators; lower tariffs for teaching hospitals; developing a cost-income management model and supply chain; preventing uncertainty other than medical students except medicine; considering the clients' right to choose hospital; and organizing research missions in hospitals were the solutions for decrease differences.
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CONTEXT: Selecting variables is a fundamental step in evaluating comparative efficiency because the results of measuring efficiency depend on the used variables. AIMS: The aim of this study is to provide a comprehensive set of input and output variables for measuring efficiency with an emphasis on application in general hospitals in Iran. MATERIALS AND METHODS: This study comprised a literature review followed by a Delphi survey process. After extracting the variables from the literature review in order to reach consensus on them and identify the native variables, the researchers used the Delphi technique in three rounds. Thirty Iranian hospital managers, in Alborz, Saveh, Qazvin, Qom, and Hamadan universities, participated in this study. For analysis, the interquartile range (IQR) and median were used. IQR was used to assess the agreement of Delphi panel members. RESULTS: After literature review, nine indicators were identified as input variables and 11 indicators were identified as output variables. After the proposed changes by Delphi members, 24 input variables and 24 output variables were identified to measure hospital efficacy. Finally, ten variables were selected as inputs and ten variables were selected as outputs to measure the performance of public hospitals in Iran by using the consensus of the members in the Delphi panel. CONCLUSIONS: This study proposes a framework for selecting the most appropriate variables for measuring the hospital efficiency with an emphasis on nonparametric methods. Choosing variables to measure hospital efficiency requires infrastructure such as an intelligent information system.
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BACKGROUND & OBJECTIVE: Because of social progress, population growth, industrialization, and the requirements of some jobs, a significant percentage of employees are working in shifts. Shift work is considered a threat to health that could have unfavorable effects on various aspects of human life. This study investigated the relationship between shift work and the personality traits of nurses and their coping strategies in a selection of non-governmental hospitals in Tehran in 2014. METHODS: This applied cross-sectional descriptive research employed the Standard Shift work Index and Eysenck Personality Questionnaire (EPQ) which, after confirmation of its validity and reliability (Cronbach's alpha 0.73), were distributed among 305 nurses from 6 non-governmental hospitals in Tehran selected through cluster random sampling. Data was analyzed in two statistical levels: descriptive and inferential. RESULTS: Results revealed that 43.6% of the nurses participating in the study were introverted and 56.4% were extroverted. There are significant relationships between age and physical health (P=0.008), sex and physical health (P=0.015), educational level and physical health (P=0.014), sex and cognitive, somatic anxiety (P=0.006), age and social-family status (P=0.001), marital status and social-family status (P=0.001), having a second job and social-family status (P=0.001), educational level and sleep and fatigue (P=0.002), work experience and coping strategies (P=0.044), and sleep and fatigue and personality traits (P=0.032). CONCLUSION: Complying with the standards of working hours for nurses and avoiding overtime when scheduling, especially for nurses with more work experience, can prevent the severe complications of shift work, enhance health, and ultimately enhance the quality of care. By improving the physical, psychological, and social health of nurses, the quality of patient care can be expected to improve, too.