IntroductionThe length of stay (LOS) in hospitals is a widely used and important criteria for evaluating hospital performance. The aim of this study was to determine factors affecting LOS in teaching hospitals of Qazvin Providence.MethodsIn this cross-sectional study, patients’ health records were randomly selected from archives in teaching hospitals of Qazvin in 2013. Data were collected through a data entry form and were analyzed using Kolmogorov–Smirnov, Kruskal–Wallis, and Mann–Whitney U tests at the significant level of 0.05.ResultsThe mean of hospital LOS was 5.45 ± 6.14 days. Age, employment, marital status, history of previous admission, patient condition at discharge, method of payment, and type of treatment had an impact on LOS (p<0.05). Other factors, including gender, place of residence, and type of admission, did not affect LOS.ConclusionBecause hospitals consume a perceptible part of resources in a health system, controlled and optimized use of its resources help to save a lot. Therefore, this study showed many clinical and nonclinical factors affect LOS in evaluating these factors, which may reduce inappropriate hospital stays and decrease costs.
BackgroundIn today’s transforming world, increased productivity and efficient use of existing facilities are practically beyond a choice and become a necessity. In this line, attention to change and transformation is one of the affecting factors on the growth of productivity in organizations, especially in hospitals.AimTo examine the effect of transformational leadership on the productivity of employees in teaching hospitals affiliated to Iran University of Medical Sciences.MethodsThis cross-sectional study was conducted on 254 participants from educational and medical centers affiliated to Iran University of Medical Sciences (Tehran, Iran) in 2016. The standard questionnaires of Bass & Avolio and of Hersi & Goldsmith were used to respectively assess transformational leadership and level of productivity. The research assumptions were tested in a significance level of 0.05 by applying descriptive statistics and structural equations modeling (SEM) using SPSS 19 and Amos 24.ResultsResults of the fitting indicators of the assessing model after amending includes Chi-square two to degrees of freedom of 2.756, CFI indicator 0.95, IFI indicator 0.92, Root mean square error of approximation (RMSEA) indicator 0.10. These results indicate that the assessing model is well fitting after the amendment. Also, analysis of the model’s assumptions and the final model of the research reveals the effect of transformational leadership on employees’ productivity with a significance level of 0.83 (p=0.001).ConclusionThis research indicates that the more the leadership and decision-making style in hospitals lean towards transformational mode, the more positive outcomes it brings among employees and the organization due to increased productivity. Therefore, it is essential to pay focused attention to training/educational programs in organizations to create and encourage transformational leadership behaviors which hopefully lead to more productive employees.
Background: Human resources, especially medical staff is one of the main components of health care system and organizational development. The purpose of this study was to estimate the required nurses for hospitals affiliated to Tehran University of Medical Sciences based on the models of the World Health Organization and Levine. Methods: This study was cross-sectional and descriptive. Seven hospitals affiliated to Tehran University of Medical Sciences were selected as research sample. After collecting data of the number and distribution of the nurses, the data were entered into Excel software. Then, according to the WHO and Levine formula, estimated numbers of hospital nurses were compared with the current situation. Results: According to the models, the number of nurses in all hospitals was different with standard values. According to WHO model, the correlation was negative and most hospitals but Amir Alam, Baharloo, and Farabi hospitals had insufficient number of nurses. Also, according to Levine model, all hospitals except Bahrami and Amir Alam hospitals had insufficient number of nurses. Conclusion: According to the World Health Organization and Levine model, the number of nurses in the studied hospitals was inadequate. This imbalance requires proper planning and standards to rectify the shortage of manpower, especially nurses in studied hospitals.
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