Mohammad Ali Nadi, Mohammad Hossein Yarmohammadian,
Volume 6, Issue 6 (17 2013)
Abstract
Background and Aim: Based on theories and researches, two variables effective in the continuous improvement of services are trust in and identification with hospital goals. The present study aims to explore the relationship between such variables among nursing staff members in private hospitals of Shiraz.
Materials and Methods: This research is a cross-sectional correlation study. Some 340 nurses(58 males and 282 females) were selected using the stratified sampling technique.
Three questionnaires for the assessment of identification with hospital goals, measurement of continuous improvement, and determination of trust in hospital were used. The reliability of data collection devices turned out to be 0.70, 0.70 and 0.79, respectively. Besides, the construct validity was confirmed through factor analysis. Data were analyzed inferentially using Pearson's correlation test and hierarchical regression analysis.
Results: The findings show that the relationship between identification with hospital goals and trust and nurses' effort to improve continuously is positive and significant. Moreover, the results of hierarchical regression analysis show that after controlling gender, age, experience and education, first identification with hospital goals and then trust in hospital play a significant role in the effort to improve continuously.
Conclusion: Nurses' effort to improve continuously is mostly influenced by identification with hospital goals rather than trust in hospital.
Sajjad Mohammadian , Esmaeil Vaziri,
Volume 11, Issue 1 (5-2017)
Abstract
Background and Aim: Research in the medical field requires large budgets, specialist human resources and modern equipment and instruments. Scientific collaboration is a way to overcome such problems. Main goal of this study was analyzing scientific collaboration of universities of medical sciences in different aspects.
Materials and Methods: In this research, by using scientometrics methods and social network analysis techniques, the Universities of Medical Sciences co-authorship network was mapped. Source of collecting Data, was Web Of Science database. For mapping and analyzing of scientific networks, we used Bibexcel, VOSviewer, Pajek and UCINET software.
Results: Shahid Beheshti University of Medical Sciences and Tehran University of Medical Sciences, with 933 co-authorship papers are in the first place in scientific collaboration among Iranian Universities of Medical Sciences. And at the international level, Shahid Beheshti University of Medical Sciences has more scientific collaboration than other Iranian universities with the University of Malaya. Tehran University of Medical Sciences, Shahid Beheshti University of Medical Sciences, Isfahan University of Medical Sciences, Tabriz University of Medical Sciences and Shiraz University of Medical Sciences, have significant position in terms of centrality index in co-authorship network.
Conclusion: Medical sciences researchers have very strong tendency to make scientific collaboration with Tehran University of Medical Sciences researchers. For this reason, scientific collaboration network has become a monopoly network around Tehran University of Medical Sciences. This form of collaboration prevents creation of opportunities for collaboration.
Reza Dehkhodaei, Mazyar Karamali, Mohammad Mohammadian, Mohammadkarim Bahadori, Mohsen Abbasifarajzadeh,
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Considering the importance of knowledge management in the current era and the emphasis on the implementation of knowledge management in the health system in the knowledge management system of the Ministry of Health, Treatment and Medical Education, and since it is one of the first steps in the implementation of knowledge management, Drawing the knowledge tree of the organization, the purpose of the current research is to review the process of publishing the knowledge tree and examine it in the field of health.
Materials and Methods: The current research is a type of applied and descriptive review study that was carried out with the method of scientometrics and co-occurrence analysis of keywords. For this purpose, the term “Knowledge tree” OR “knowledge trees” was searched in Scopus reference database. For data analysis, the analyzes provided by the database itself were used, and VOSviewer software was used to visualize the data.
Results: The growth of scientific productions related to the field of the tree of knowledge in general in the mentioned base has started since 1979 and has had a growing trend until 2023. In the field of knowledge tree, among the authors Yang, Y, among the organizations, machine intelligence institute, iona college, and among the countries, China, America, and England have been at the top of the most productive in this field. Among the subjects, the most related articles are primarily related to the field of computer science (32.2 percent) and then to the field of engineering (22.1 percent) and mathematics (10.1 percent), which is significant. that medicine is in the sixth place and this is a sign of the weakness of producing resources in this field and the clustering resulting from the co-occurrence of keywords led to the identification of five clusters respectively with the titles of data mining and information processing, artificial intelligence and expert systems. , knowledge structure and decision support systems, semantics and knowledge representation, and finally learning and teaching systems.
Conclusion: The study of the thematic structure of scientific productions in the field of Knowledge Tree showed that the field of health has a weakness in the production of resources in this field. Therefore, it is necessary for future researches to pay special attention to the development and explanation of this concept and modeling its drawing, especially in the health system, in order to identify and prevent diseases.
