scholarly journals Determining the amount and causes of insurance deficits in selected Teaching and non-Teaching hospitals affiliated to Iran University of Medical Sciences

2021 ◽  
Vol 23 (4) ◽  
pp. 80-91
Author(s):  
mohammadreza maleki ◽  
samira bolghadr ◽  
asgar aghaeihashjin ◽  
◽  
◽  
...  
Keyword(s):  
Teaching Hospitals ◽  
Medical Sciences

scholarly journals Effectiveness of Morning Report Sessions of Cardiology Wards at Teaching Hospitals of Mashhad University of Medical Sciences (2012-2013)

2015 ◽  
Vol 4 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Abbas Makarem ◽  
Alireza Abdollahi Moghadam ◽  
Ali Emadzadeh ◽  
Muhammad Taghi Shakeri ◽  
Yadolah Zarezadeh ◽  
...  
Keyword(s):  
Teaching Hospitals ◽  
Morning Report ◽  
Medical Sciences

scholarly journals Nurses’ Knowledge, Attitude, and Performance about Disaster Management: A Case of Iran

2020 ◽  
Vol 13 (1) ◽  
pp. 441-446
Author(s):  
Sedighe S. T. Far ◽  
Milad A. Marzaleh ◽  
Nasrin Shokrpour ◽  
Ramin Ravangard
Keyword(s):  
Disaster Management ◽  
Health Care Providers ◽  
Work Experience ◽  
Three Dimensions ◽  
Teaching Hospitals ◽  
Care Providers ◽  
Medical Sciences ◽  
Significant Relationships ◽  
The Mean ◽  
And Performance

Background: Iran is a disaster-prone country in which many natural and man-made disasters happen every year. Because the health sector is vital due to its nature of treatment and rehabilitation of the injured after the disasters, all health care providers, especially hospital nurses, should be prepared to provide the services they need. Objective: The present study aimed to determine the level of knowledge, attitude, and performance of nurses about disaster management in teaching hospitals affiliated to Iran, Shiraz University of Medical Sciences in 2019. Methods: This cross-sectional and descriptive-analytical study was conducted on a sample of 230 nurses working in the teaching hospitals of Iran, Shiraz University of Medical Sciences, who were selected using the stratified sampling proportional to size and simple random sampling methods. The data were collected using a valid and reliable questionnaire containing 20 questions in three dimensions of knowledge, attitude, and performance. Then, the collected data were analyzed using SPSS 25.0 through independent samples t-test, ANOVA and Tukey tests at the significance level of 5%. Results: The results showed that the highest and lowest mean scores were related to the attitude (2.38±0.19) and knowledge (1.70±0.50) of the nurses, respectively. However, all three dimensions were at a moderate level. The results showed significant relationships between the mean score of performance and the gender, marital status, age, and work experience of the nurses. In addition, statistically significant relationships were found between the mean score of knowledge and their age and work experience (p<0.05). Conclusion: According to the findings, the following suggestions can be made to increase the knowledge and performance of the nurses for being prepared in critical situations: reducing the duration and increasing the quality of training classes and workshops on disaster preparedness; providing some incentives for nurses, especially female, married, older, and more experienced ones to attend these classes; and improving the methods of training materials related to disaster management.

scholarly journals Intellectual Capital at Two Levels of Organizational Excellence in Teaching Hospitals of Tehran University of Medical Sciences

2018 ◽  
Vol 9 (2) ◽  
pp. 215-224
Author(s):  
M Jafari ◽  
A* Dargahi ◽  
A Pourtaleb ◽  
B Delgoshaee ◽  
M Salehi ◽  
...  
Keyword(s):  
Intellectual Capital ◽  
Teaching Hospitals ◽  
Medical Sciences ◽  
Organizational Excellence ◽  
Excellence In Teaching

Studying preparedness in teaching hospitals affiliated to Iran University of Medical Sciences, 2006

2009 ◽  
Vol 18 (4) ◽  
pp. 379-387 ◽  
Author(s):  
Parisa Shojaei ◽  
Mohammad Reza Maleki ◽  
Rafat Bagherzadeh
Keyword(s):  
Teaching Hospitals ◽  
Medical Sciences

Evaluation of Depression and Stress among Nurses Working in Teaching Hospitals Affiliated with Zahedan University of Medical Sciences

2017 ◽  
Vol 8 (1) ◽  
pp. 193
Author(s):  
Zaynab Poodineh ◽  
Mahin Badakhsh ◽  
Maryam Khamari ◽  
Mehrbanoo Amirshahi ◽  
Mohammad Raesi ◽  
...  
Keyword(s):  
Teaching Hospitals ◽  
Medical Sciences

scholarly journals Assessment of Predictable Productivity of Nurses Working in Kerman University of Medical Sciences’ Teaching Hospitals via the Dimensions of Quality of Work Life

2016 ◽  
Vol 8 (10) ◽  
pp. 65 ◽  
Author(s):  
Fariba Borhani ◽  
Azizollah Arbabisarjou ◽  
Toktam Kianian ◽  
Saman Saber
Keyword(s):  
Quality Of Life ◽  
Simple Random Sampling ◽  
Work Life ◽  
Quality Of Work Life ◽  
Teaching Hospitals ◽  
Medical Sciences ◽  
Quality Of Working Life ◽  
Quality Of Work ◽  
Nursing Services

<p><strong>Introduction: </strong>Despite<strong> </strong>the existence of a large community of nurses, specific mechanisms have not been developed yet to consider their needs and the quality of their work life. Moreover, few studies have been conducted to analyze the nature of nursing, nursing places or nurses’ quality of work life. In this regard, the present study aimed to assess predictable productivity of nurses working in Kerman University of Medical Sciences’ teaching hospitals via the dimensions of Quality of Work Life.</p><p><strong>Methodology:</strong> The present descriptive-correlational study was conducted to assess predictable productivity of nurses via the dimensions of Quality of Work Life. The study’s population consisted of all nurses working in different wards of teaching hospitals associated with Kerman University of Medical Sciences. Out of the whole population, 266 nurses were selected based on the simple random sampling method. To collect data, the questionnaires of ‘Quality of Nursing Work Life’ and ‘Productivity’ were used after confirming their reliability (test-retest) and content validity. Finally, the collected data were analyzed through the SPSS software (version 16).</p><p><strong>Results: </strong>Although the quality of work life for nurses was average and their productivity was low but the results showed that quality of life is directly related to nurses’ productivity. Quality of life and its dimensions are predictive factors in the in the nurses’ productivity.</p><p><strong>Conclusions:</strong> It can conclude that by recognizing the nurses’ quality of work life situation, it can realize this group productivity and their values to the efficiency of the health system. For the quality of working life improvement and increasing nurses’ productivity more efforts are needed by authorities. The findings can be applied by managers of hospitals and nursing services along with head nurses to enhance the quality of health services and nursing profession in general.</p>

scholarly journals Evaluation of job security among operating room nurses of teaching hospitals, Kermanshah University of Medical Sciences

2020 ◽  
Author(s):  
Yahya Safari ◽  
Fatemeh Foroutanfar
Keyword(s):  
Operating Room ◽  
Simple Random Sampling ◽  
Job Security ◽  
Teaching Hospitals ◽  
Job Displacement ◽  
Medical Sciences ◽  
Chi Square ◽  
Significant Difference ◽  
Operating Room Nurses ◽  
One Way Anova

Abstract Background: This study assessed job security among operating room nurses of teaching hospitals, Kermanshah University of Medical Sciences in Kermanshah, Iran.Methods: The population of this descriptive-analytical study included all operating room nurses (n=217) of teaching hospitals affiliated to Kermanshah University of Medical Sciences in 2017, from whom 136 were chosen as study sample by simple random sampling and Kerjesi-Morgan table. Data were collected by Nissi’s job security questionnaire. The obtained data were analyzed by Pearson’schi-square and one-way ANOVA tests.Results: The findings showed the job security of the majority of nursing staff was average in low job displacement (66.9%), job satisfaction (68.5%), emotional work environment (65.5%), sense of peace (71%), organizational commitment (44.4%) and organizational defense (55.6%) domains. However, their job security was high in concentration on job (89.5%) and choosing an appropriate job (90.3%) dimensions and poor in financial satisfaction (71.8%) domain. In general, 89.5% of nurses had a high job security. The results of Pearson’s chi-square test showed a significant association between job security and gender, age, education and income variables. However, the findings of one-way ANOVA indicated no significant difference among different hospitals regarding the mean job security.Conclusion: The findings of this study demonstrated 89.5% of the studied participants were reported to have job security. Also, among the studied hospitals, Mohammad Kermanshahi hospital was found to have the highest job security.

scholarly journals Identifying the Factors Affecting the Incidence of Medication Errors of Nurses in Teaching Hospitals of Shiraz University of Medical Sciences

2021 ◽  
Author(s):  
Ali Reza Yusefi ◽  
Parnian Nikmanesh ◽  
Zahra Kavosi ◽  
Ahmad Sadeghi
Keyword(s):  
Human Factors ◽  
Medication Errors ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Employment Relationship ◽  
Teaching Hospitals ◽  
Medical Sciences ◽  
Cross Sectional ◽  
Number Of Patients ◽  
Heavy Workload

Background: Medication errors are one of the major causes of injury to patients while receiving medical care. This study aimed  to investigate the effective causes of medication errors in nurses in educational hospitals affiliated with Shiraz University of Medical Sciences. Methods: This descriptive-analytical and cross-sectional study was conducted in 2020 on 340 nurses from 10 educational  hospitals affiliated to Shiraz University of Medical Sciences. The data collection tool was a questionnaire. Data were analyzed using t-test, ANOVA and Pearson correlation coefficient were analyzed using SPSS23 software . Results: According to the results, human factors have been the most important factor in the occurrence of medication errors. The most important causes of medication errors with respect to human, managerial and environmental factors include fatigue due to overwork (3.13 ± 1.16), method of supervision (3.06 ± 0.98) ,and heavy workload (3.00 ± 1.19), respectively. There was a statistically significant relationship between human factors and  age (p = 0.024), gender (p = 0.013), employment relationship (p = 0.016), and marital status (p = 0.027), and between management factors and employment relationship (p = 0.034) and the number of patients under observation (p = 0.011). Conclusion: Considering the most important causes of medication errors, including fatigue due to overload, supervision methods, and heavy workload, using strategies to reduce fatigue due to workload, such as balancing nurses' work shifts and also holding workshops on supervision methods is recommended in order to improve the level of managerial competencies of nurses.

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