Showing 5 results for University of Medical Sciences
M Rafiei, M Kalantari,
Volume 8, Issue 2 (9-2012)
Abstract
Background & Objectives: Misconceptions of mental models are phenomena that very with accepted scientific models. The assessment of misconception in statistics could (would) be very helpful in learning statistics. The probability is one of the important concept in statistics. The purpose of this study was to assess the misconception about probability in students of Arak University of Medical Sciences in 2011.
Methods: This descriptive-analytical study was carried out on 267 medical sciences students enrolled in Arak University of Medical Sciences students during 2011 year. We used a stratified random method in order to collect data and also a standard questionnaire was employed in this study. The data were analyzed by SPSS software with using ANOVA, Chi-Square test, logistic regression, Kruskal-Wallis Test and on proportion test.
Results: The mean score of perception of probability in students was 10.47 with standard deviation 3.47 respectively. The prevalence of probability misconception was 26.2%. There was statistically significance relationship between the prevalence probability misconception and the field of students.
Conclusion: Misconception of (in) probability in teaching biostatistics should be paid more attention in future curriculum development in medical universities.
Mh Mehrolhassani, M Emami, Aa Haghdoost, R Dehnavieh, S Amanpour, F Sabbah, M Bazrafshan,
Volume 12, Issue 0 (3-2017)
Abstract
Background and Objectives: Universities of medical sciences play a vital role in promoting population health and without a doubt, their performance should be measured and evaluated.
Methods: The study was a mixed method study (consecutive combination) and the universities were examined by census. In the qualitative phase of the study, by examining the documents and focused group discussions, the basic framework of the performance evaluation model and its associated challenges were elicited. Then, the policies, objectives, and strategies related to each dimension were extracted and finally, key indicators were selected. Finally, by running Analytic Hierarchy Process method, the weight of dimensions and their key aspects were calculated and the model was implemented.
Results: BSC was designed in accordance with the universities. In this model, four main aspects including population health, services, finance, and development were identified. Then, by reviewing the documents, key policies and strategies, key policies and criteria, primary and secondary strategies were extracted. 13 key indicators were chosen as the final indexes. Moreover, 3 main challenges and 11 secondary challenges were identified. The results of the AHP-BSC model indicated that categorizing (ranking) universities had an impact on their functional status.
Conclusion: The main challenge for evaluating the performance of universities was the presence of a logical connection between policies, strategies, and criteria to have comprehensive and concise indexes for evaluation and ranking.
F Ebrahimzadeh, E Hajizadeh, M Birjandi, S Feli, Sh Ghazi,
Volume 14, Issue 3 (12-2018)
Abstract
Background and Objectives: Academic failure is of paramount importance for medical students because it might lead to a decline in scientific level of the community of physicians in the future. This study was conducted to investigate the predictors of academic failure in medical students of Lorestan University of Medical Sciences using classification tree.
Methods: In this cohort study, academic records of all medical students of Lorestan University of Medical Sciences during the academic years of 1999-2008 were selected by census and were followed up until September 2016. Academic failure was defined as having at least one of the components of appropriate grade point average, prolonged graduation, academic probation, dropout, expulsion, and any failure in ccomprehensive exams and the CART classification tree was adopted using the SPSS 22 software to predict it.
Results: The cumulative incidence of academic failure was 26.4% and the most prevalent components were prolonged graduation (21.7%) and academic probation (15.0%). The probability of academic failure was 0.449 in subjects taking guest courses, 0.220 in subjects with no history of guest courses admitted to courses with less than 40 students and admission quotas of zone 1 or 3, and 0.456 in subjects with no history of guest courses admitted to courses with more than 40 students and males.
Conclusion: With respect to identifying the predictors of academic failure, it is suggested that these students be referred to consulting centers of the university or educational supervisors’ moreover, the regulations of taking guest courses in other universities should be revised.
Z Cheraghi, H Mahjub, A Ghalehiha, S Bashirian, H Tayybeenia, A Rahmani, B Naghsh Tabrizi , N Shir Mohammadi , A Farhadi, M Asgarinia, M Karami,
Volume 14, Issue 4 (3-2019)
Abstract
Background and Objectives: Prioritizing the list of required research, taking into account the real needs and problems of the health sector, provides a ground for justice; strengthens the link between research, action, and policy; and addresses the needs of vulnerable groups. The present study was done to formulate research priorities of Hamadan University of Medical Sciences using the opinions of experts in the field of health as a positive step towards proper allocation of research resources of the University to solve the problem.
Methods: In this study, the research priorities of Hamadan University of Medical Sciences in 13 domains during 2017 were ranked using 10 standard criteria according to the Essential National Health Research (ENHR) approach.
Results: Forty inter and intra beneficiaries were participated in this study. During the sessions, using group training techniques (brain storming), the topics were discussed, resulting in identifying 122 topics in 13 domains. In each of these domains, top 10 topics with the highest ranks were determined as the research priorities of Hamadan University of Medical Sciences.
Conclusion: Determination of research priorities at a provincial level based on the ENHR approach was conducted in Hamadan University of Medical Sciences with the cooperation of all health stakeholders for the first time. The result of this study will play an important role in optimum use of resources of the research and technology domain of Hamadan University of Medical Sciences by directing research projects according to the identified priorities.
Z Naghibifar, H Soori, S Eskandari, A Razzaghi, S Khodajarim,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: Quality of life is a valuable indicator for measuring people's health. The purpose of this study was to determine the predictors of quality of life in the staff of Shahid Beheshti University of Medical Sciences, Tehran, Iran using the path analysis model.
Methods: This cross-sectional study was performed on subjects participating in the Health Cohort Study of Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2018. A demographic information form and standard quality of life, general health, physical activity and burnout scales were used for data collection. The SPSS version 24 and Amos version 24 were used for data analysis.
Results: A total of 770 individuals were selected for the study, of whom 345 (44.8%) were male. The mean age ± standard deviation of the participants was 42.6±8.4. Analysis of the quality of life pathway of the participants showed an appropriate model (RMSEA= 0.014, CFI=0.999, NFI = 0.991, TLI = 0.994, CMIN/DF = 1.146). In addition, general health (0.560) and physical activity (0.078) had a direct correlation and occupational burnout (-0.178) and age (-0.082) had an inverse correlation with quality of life.
Conclusion: The results of this study suggest that factors such as general health, physical activity, and burnout have an impact on the participants. Therefore, it is necessary to consider the factors affecting the quality of life.
