Hospital

Assessment of job satisfaction among staff at Yas Hospital complex and its relation with demographic factors: Validation of the Yas Job Satisfaction Questionnaire

Naser Yousefzadeh kandovani

Background and Objectives: the purpose of this study was to assess the validity and reliability of the Yas Job Satisfaction Questionnaire in order to develop a useful tool for measuring and evaluating job satisfaction among Yas Hospital Complex staff.
Materials and Methods: Face validity, content validity ratio, and content validity index were used to evaluate the questionnaire's validity and reliability. Cronbach's alpha and the halving technique were used among 150 medical personnel in this cross-sectional study The key elements of the final questionnaire were four dimensions of leadership style, job nature, reward system, performance appraisal, and organizational climate.To report the mean of quantitative variables at different levels, qualitative factors were evaluated and analyzed using analysis of variance (ANOVA).
Results: There were 111 females and 39 males among the 150 participants. The content validity ratio and content validity index were both acceptable.Cronbach's alpha method reported a reliability of 0.92 for the questionnaire, indicating that the internal reliability is acceptable.The lowest level of satisfaction was in the leadership style dimension, with an average of 10.53 4.91, while the highest level of satisfaction was in the job nature dimension, with an average of 21.24 7.05.

Conclusion: The Yas Job Satisfaction Questionnaire has acceptable validity and reliability to assess the level of job satisfaction among medical staff, according to the findings of this study. Furthermore, job satisfaction was moderate in most of the dimentions surveyed.

Evaluation of Compliance with Accreditation Standards during Corona Virus Pandemic among Staff of Masih Daneshvari Hospital

Elham GHazanchaei

Introduction: After the increase in the incidence and global spread of Covid-19 virus, medical centers faced a number of problems and challenges following this crisis. In order to increase the quality and safety of medical services and their optimal management, both in critical and non-critical situations, health care providers in different countries of the world have used various methods that increase the organizational commitment to improve quality.
Method: This study is a cross-sectional analytical research. Data were collected through a researcher-made questionnaire based on 903 accreditation standards notified by the Ministry of Health by available sampling method from 326 employees of Masih Daneshvari Center in 2021. Data were analyzed using SPSS software version 22.
Results: The results showed that out of an average of 8 areas related to accreditation standards, participants in the areas of professional ethics and compliance with the recipient of services, infection control, environmental health and waste management mentioned the most compliance in the emergency situation caused by Covid-19 and areas of clinical management and patient safety were ranked next.
Discussion and conclusion: According to the participants, observing the areas of environmental health and waste, service recipients and infection control has been more practical during Corona pandemic. The principles of accreditation seem to be accepted as quality improvement standards and can be an effective guide in preparing medical centers for emergency conditions.

The Correlation between demographic characteristics, emotional intelligence and conflict management strategies in managers of different organizational levels in hospitals affiliated to Tehran University of Medical Sciences

Mohammad Hadi Mousavi

Introduction: Hospitals have conflicts because of their complex nature, so they need managers with high emotional intelligence for effective conflict management. There are contradictory results in the correlations between demographic characteristics, emotional intelligence and conflict management; therefore, this study was conducted to investigate the correlation between them in different managerial levels of the hospitals.
Material & Methods: This analytical observational study was conducted on 100 senior and middle level managers (samples) of 8 selected hospitals affiliated to Tehran University of Medical Sciences in 2019. We used a three-part questionnaire: Demographic characteristics, Emotional intelligence and Conflict management strategies, to collect data. SPSS 20 and statistical correlation tests including Pearson, t-test and analysis of variance were used for data analysis.
Findings: There was a significant direct relationship between the mean score of emotional intelligence and its domains with problem-solving strategy (P <0.001). Also, statistically significant correlations were observed between age, marital status, major, organizational position, and work experience in a managerial position with emotional intelligence (P <0.05). In addition, there was a direct and statistically significant relationship between avoiding and problem-solving strategies with age and work experience, respectively (P <0.05).
Discussion& Conclusion: It is necessary to take appropriate action to raise emotional intelligence and improve conflict management in hospitals, and according to the significant and direct relationships that observed, we can pay attention to select relevant managers for the hospitals.

Study of the Relationship between Burnout and Resilience among Nurses at the Outbreak of COVID-19

Farzaneh Fouladi

Background: Covid-19 pandemic peak put additional strains on healthcare system. In this crisis, the resilience of nursing staff is critical. This study aimed to investigate the relationship between burnout and resilience in frontline nursing staff working in high-risk areas during the outbreak of Covid-19 pandemic.
Materials and Methods: The present study is a Descriptive-analytical survey, and the target group is Iranian nurses. According to the Ministry of Health statistics, 125369 people are participated in this study. information is collected from 384 people by cluster distribution using questionnaire. The statistical analysis in this study is performed by SPSS and SMART-PLS software
Results: According to the study, all the collected information is normal. Based on factor analysis, there is an inverse significant relationship between resilience and burnout, and also, the sense of success has a significant effect on resilience as part of burnout.
Conclusion: In order to increase the resilience of nursing staff in such conditions, it is necessary to pay more attention to the factors affecting their burnout and plan to minimize it. Developing educational programs and adding diversity in service delivery might be useful to enhance personal feelings and also reduce burnout.

Identification and assessment of risk factors in the supply chain of the pharmaceutical industry using artificial intelligence.

Farzad Firouzi Jahantigh

Background and Aim: As difficulties increase, the level of uncertainty and risk in the supply chain increases. Medicine is a strategic product and is directly related to community health. The aim of this study is to evaluate the risk factors of pharmaceutical supply chain with artificial intelligence methods.
Materials and Methods: By reviewing the texts and interviewed 6 adept experts who had a Master’s degree and Ph.D. and had experience between 7 and 15 years in the field of risk and pharmaceutical supply chain, risk factors were identified. Finally, using multilayered perceptron neural networks and support vector machines with polynomial linear kernel functions and radial base in two low-risk and high-risk classes were classified in Python software.
Results: 22 factors were identified and classified using neural networks in 5 categories: assets, network and transportation, government and market, strategy and supplier. Shift in interest and inflation, Changes in exchange rates, Inflexibility in production and disruption of customer service are the most important risks in the pharmaceutical supply chain, respectively. The results of evaluation criteria showed that the multilayer perceptron model had better performance than the support vector machines with linear, polynomial and radial basis functions.
Conclusion: The results showed that artificial neural networks are able to classify pharmaceutical supply chain risk factors with acceptable accuracy. As a result, classification of risk factors with an accuracy of 97/07% indicates the high ability of multilayer perceptron network in risk assessment of pharmaceutical supply chain.

Application of root cause analysis technique in surgery: A qualitative study of weaknesses, strengths and challenges

Aidin Aryankhesal

Introduction: Root cause analysis is one of the most important tools in disaster management that aims to identify the real causes of an issue and find ways to eliminate them. Surgery is one of the areas in which the possibility of clinical error is significant. Therefore, the study aims to explain the weaknesses and challenges of root cause analysis in surgical events and identify the experience of staff around the technology.
Materials and methods: This qualitative study was conducted through interviews in 2021. Twenty members of the root cause analysis team working in teaching hospitals affiliated to Iran University of Medical Sciences were interviewed. After conducting the interviews, MAXQDA software version 10 was used to analyze the thematic content and extract concepts related to the research objectives.
Results: The majority of participants were female, head nurse, aged 30 to 40, work experience of 11 to 15, and employed in Hasheminejad Hospital. The most important weaknesses identified for root cause analysis included the lack of proper implementation of the root cause analysis process and the lack of participation of individuals, hospitals and universities in this process.
Conclusion: Health managers and policymakers should address the weaknesses of root cause analysis by explaining the necessity of the process, root cause analysis immediately after each clinical event, evaluating the effectiveness of root cause analysis, and providing adequate feedback from the authorities. Upstream therapy, creating a culture of root cause analysis, providing the necessary facilities to perform these analyzes, providing clear instructions to encourage and punish employees.

Analyzing the effects of non-medical services quality on caregivers satisfaction

SHahin Ebrahimbabaei

   Introduction: The concept of patient satisfaction has become very important in the field of healthcare and the major part of this satisfaction is affected by the quality and variety of hospital hotel services.

The main purpose of this study is to analyzing the effect of quality of non-medical services (hoteling) of hospitals on satisfaction considering the mediating role of satisfaction with health services in Shahid Fayyaz Bakhsh, Shahid Hasheminejad and Masih Daneshvari hospitals.
Method: The type of this study is of applied and descriptive-correlational. The statistical population of this study included 48043 recipients of services in the mentioned hospitals. The sampling method is simple relative random judgment and Krejcie and Morgan table was used to determine the sample size.  information collected through a researcher-made questionnaire. In order to analyze the data and test the hypotheses from descriptive and inferential statistics through SPSS22 software and also to check the model fit and confirmatory factor analysis from Lee software. Shannon entropy method was used to measure the importance and weight of the studied variables.
Results: The weight and priority of each of the research variables implied that the views of service recipients in the field of non-medical services of hospitals, services during treatment, cleaning services, welfare services, human resources, buildings and facilities, and patient nutrition were respectively high to low priorities.
Conclusion: Recipients satisfaction of non-medical services was average. Establishing partnership management system and determining their medical priorities and needs might increase their satisfaction .

The Effect of Organizational Bullying on Emotional Exhaustion Mediating by Psychological Distress (Case Study: Shariati Hospital Nurses in Tehran)

Mahdieh Vishlaghi

Objective: Organizational bullying leads to uncontrollable stressful situations in which people cannot perform their tasks properly and relax and this may lead to fatigue and exhaustion. The aim of this study is to determine the effect of organizational bullying on emotional exhaustion mediated by nurses' psychological distress.
Methodology: This study is applied research and descriptive. The population of the study is the nurses of Shariati Hospital in Tehran. 148 questionnaires returned Based on simple random sampling and the research data analyzed using SPSS and AMOS software. Research variables measured using the questionnaire of organizational bullying of Inerson et al. (2009), psychological distress of Kessler et al. (2003) and emotional Exhaustion of Maslaj and Jackson (1981).
Results: Organizational bullying has effect on nurses' emotional Exhaustion directly and also effect on nurses' emotional Exhaustion through mediation of psychological distress indirectly.
Conclusion: The results of the present study have brought innovations in the field of organizational bullying and psychological distress of nurses and also help hospital managers to understand the effect of organizational bullying on nurses' emotional Exhaustion by providing comfortable working conditions to prevent emotional Exhaustion. Also because of the effect of organizational bullying on psychological distress, managers have to create a friendly atmosphere to prevent such psychological states so that they can provide appropriate services.