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Survey on Conflict Level and Conflict Management Strategies among Nurses in General Hospitals of Tehran University of Medical Sciences
Shabnam Ghasemyani, Aboulghasem Pourreza, Mahmood Mahmoodi ,
Volume 11, Issue 1 (5-2017)
Abstract

Background and Aim: Conflict, is a natural and inevitable phenomenon in any organization. Nursing organizations, especially due to environmental stresses, nature of work, variety of interaction, responsibilities and staff are vulnerable to conflict. The purpose of this study was to determine the level of conflict, cause of conflict and conflict management strategies among nurses in selected hospitals of Tehran University of Medical Sciences (TUMS) in 2013.
Materials and Methods: This research is cross-sectional and descriptive - analytic study. The research sample included 240 nurses at four hospitals of Tehran University of Medical Sciences. In order to measure conflict level dubrins conflict level questionnaire and for measure conflict management Robins conflict management strategies were used, for survey to accept or reject the study hypothesis, Chi-square and Fisher's exact tests with SPSS software was performed.
Results: Results showed that the nurse's conflict level was located at average level. Factors relating nurse practitioner frequent cause of conflict, identified strategies of conflict management were solution orientation, non-intervention, control, In the present study  conflict level had showed significant statistical relation with age of nurses (p=0.048). 
Control strategy had showed significant statistical relation with age (p=0.006) and work experience (p=0.024). Solving oriented strategy had showed significant statistical relation with age (p=0.02).
Conclusion: Conflict is a two-dimensional phenomenon, conflict can be both positive and negative results, how to deal with conflict, it is crucial for consequences.


Determining the Effective Factors in the Incidence of Gastric Cancer by Using Data Mining Approach
Seyed Abbas Mahmoodi , Kamal Mirzaie, Seyed Mostafa Mahmoodi ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken into account. In this research, two data mining techniques such as Apriori and ID3 algorithm were used in order to investigate the effective factors in gastric cancer.
Materials and Methods: Data sets in this study were collected among 490 patients including 220 patients with gastric cancer and 270 healthy samples referred to Imam Reza hospital in Tabriz. The best rules related to this data set were extracted through Apriori algorithm and implementing it in MATLAB. ID3 algorithm was also used to investigate these factors.
Results: The results showed that having a history of gastro esophageal reflux has the greatest impact on the incidence of this disease. Some rules extracted through Apriori algorithm can be a model to predict patient status and the incidence of the disease and investigate factors affecting the disease. The prediction accuracy achieved through ID3 algorithm is 85.56 which was a very good result in the prediction of gastric cancer.
Conclusion: Using data mining, especially in medical data, is very useful due to the large volume of data and unknown relationships between systemic, personal, and Behavioral Features of patients. The results of this study could help physicians to identify the contributing factors in incidence of the disease and predict the incidence of the disease.

Required Structures for Family Physician Program to Achieving Service Quality Dimensions in Primary Health Care: a systematic review
Ali Reza Heidarian Naeini, Ghahraman Mahmoodi Alemi, Jamshid Yazdani Charati,
Volume 15, Issue 3 (Aug & Sep 2021)
Abstract
Background and Aim: In recent years, the family physician plan has been implemented as a main strategy of health system in Iran. Therefore, the necessity to reform organizational structure based on experiences of other countries is felt more than before. The aim of this study was to explore required structures of Family Physician Program to achieve service quality dimensions in Primary Health care through analyzing country experiences.
Materials and Methods: This study was a systematic review. All relevant databases were searched using appropriate search strategies and keywords (Family Physicians, Primary Health Hare, Quality of Care). To evaluate the quality of selected papers, CASP tool was applied by 4 experts, and their choices were discussed to reach a final decision.
Results: In order to achieve the quality of services in the field of family medicine, based on the findings of this study, eight important executive structures must be considered. These structures are: Organizational and managerial structures, including health system governance, Support  mechanisms and referral system, Systematic communication platform, Electronic health services, Service delivery processes,Insurance structure, Supervisory and control structure including financial control mechanisms, competitive control and quantitative control, Payment structure, quantitative and qualitative development structure of service providers, Quality structure that includes the definition and evaluation of quality and accountability mechanisms as well as incentive mechanisms for service quality, Support structure including insurance support, classified support for specific groups, and finally, the cultural structure in the two areas of culture building of the referral system and strengthening the position of family physicians.
Conclusion: Quality improvement in primary health care requires attention to executive structures. Use of executive experiences of other countries will be useful in achievement of quality health care in family physician system.

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