Showing 10 results for 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.
Mh Mehrolhassani, R Goudarzi, V Yazdi Feyzabadi , Ss Pourhosseini, A Darvishi,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Improving the efficiency and productivity of the higher education, especially in the field of research on health sciences, is one of the characteristics of sustainable development in today's societies. This study aimed to measure the efficiency and productivity of Iran's Medical Sciences Universities (MSU) in the research function.
Methods: In a descriptive study, the research function of fourty five MSUs in Iran was evaluated using data envelopment analysis (DEA) method and Malmquist index in 2010, 2013, and 2016 years. Measurement of both efficiency and Malmquist index was developed and modeled based on the assumption of variable returns to scale (VRS) and output-oriented. Also, the ranking of efficient units was done using Anderson-Patterson's model.
Results: The mean research efficiency was estimated to be 0.86. Findings of Malmquist index showed that between 2010 and 2013, there was a 6% growth in the productivity; while the performance of universities had a 12% drop in research function from 2013 to 2016. Also, the average total productivity during two periods is 0.96, indicating 4% reduction in research efficiency which technology efficiency growth has dropped by 8% and other components of total productivity had a positive growth.
Conclusion: The results of the study showed that universities do not work efficiently and average productivity has been decreasing which was mainly due to a decline in the efficiency of technology, which despite the development of technology in recent years could be the result of the lack of effective use of it.
V Yazdi Feyzabadi , Mh Mehrolhassani, Ss Pourhosseini,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Research plays an important role in solving health problems in the community. One main mission of higher education institutions is developing research tailored to the needs of the community by providing equal and fair opportunities for research sectors. The present study aimed to measure inequality in the rea of research in Iranian medical sciences universities.
Methods: In this descriptive study, the Gini Coefficient (GC) was used to measure inequality from 2010 to 2016. The indexes included the number of published papers, citations, citation per paper, self-citation, Scimago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP), Citescore, Hirsch
(h-index), number of faculty members, number of students, and educational and research budget. Stata 14 software was used for data analysis.
Results: During the study years, the GC of SJR, SNIP, and Citescore varied from 0.65 to 0.73, 0.62 to 0.73, and 0.61 to 0.72, respectively. In addition, The GC of international papers, total articles, self-citation, citation per article, Hirsch index, and total citations varied from 0.62 to 0.70, 0.56 to 0.66, 0.22 to 0.27, 0.12 to 0.28, 0.33 to 0.39, and 0.57 to 0.72, respectively. The GC of the number of faculty members and budget ranged from 0.26-0.40 and 0.34-0.67, respectively.
Conclusion: Inequality in self-citation and citation per article was relatively fair, while Hirsh and the number of faculty members had intermediate inequality. Other indicators had a high and very high inequality. To reduce inequality, developing of the balanced research infrastructures in medical universities is recommended.
Mh Mehrolhassani, R Goudarzi, V Yazdi Feyzabadi, Ss Pourhosseini, A Darvishi,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: The higher education system plays an important role in the socio-economic development of the country due to its mission in training the required human resources. Therefore, performance evaluation of different sectors of higher education is of great importance. The present study was conducted to evaluate the educational efficiency and productivity changes of Iranian medical sciences universities.
Methods: This descriptive study was conducted in 2011, 2014, and 2017 to evaluating the performance of 43 Iranian medical universities using Data Envelopment Analysis and output oriented approach. In addition, productivity changes were measured using the Malmquist index. For this purpose, Deap 2.1 software was used. The Anderson Patterson Model and EMS software were also used to rate the units accurately.
Results: The average educational efficiency of medical universities was 0.97 in the study years. The average total productivity based on the Malmquist Index was 1.05, and educational productivity of the universities showed an average growth of 5% over the study years. This growth was 1% from 2011 to 2014 and 10% from 2011 to 2017.
Conclusion: The results of the study showed the acceptable efficiency of the education sector of Iranian medical sciences universities. Moreover, a positive increasing trend was observed in the productivity of the education sector during the study years. Further research using quality and quantity measures are necessary to assess the educational performance of medical universities more accurately.
V Yazdi Feyzabadi, Mh Mehrolhassani, F Monajemi, Ss Pourhosseini,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Access to equal educational opportunities is one of the fundamental rights in each country, and elimination of inequalities, especially in the higher education system, is one of the most important priorities. This study aimed to measure educational inequality in the medical sciences sector in Iranian provinces.
Methods: In this study, educational inequality in medical sciences was measured using the Gini coefficient. The study indexes included the number of students, faculty members, staff, majors and educational budget. Data were analyzed using Stata 14 software.
Results: During the study years, the Gini coefficient of the number of female students, male students, and faculty members showed a more or less decreasing trend from 0.51 to 0.46, from 0.53 to 0.46, and from 0.59 to 0.53, respectively. However, the values of inequality in the number of personnel working in educational sector and educational budget showed a slight increasing trend from 0.49 to 0.50 and from 0.53 to 0.54, respectively. According to the academic majors, the lowest Gini coefficient was related to non-continuous bachelor’s degree that varied from 0.13 to 0.17, and the highest value was related to fellowship degree ranging from 0.66 to 0.69 in the study years.
Conclusion: Despite reduced inequality in some educational indicators, there is a high inequality in the number of academic majors of some postgraduate degrees, number of students by gender, and educational budget, which requires policy makers to focus more on balanced distribution of educational infrastructures among provinces to provide equal educational opportunities.
R Dehnavieh, Aa Haghdoost, S Noori Hekmat, M Bamir, A Masoud, A Poursheikhali, Mr Cheshmyazdan,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Before any development in scientific health activities, we have to observe its scope and compare it with health sector. Accordingly, the aim of this study was to determine the quality and quantity of the health-prioritized disciplines mentioned in the comprehensive health plan of Iran.
Methods: This scientometric cross-sectional study was done during 2010-2017. The study population was 26 prioritized areas in three categories of survival, excellence, and infrastructure according to comprehensive health plan of Iran in 2010. The data collection tool was the SCImago database. The number of documents, citation indicators, and h-index were analyzed by Excel.
Results: The findings of the research showed that the highest h-index of Iran in the excellence, survival, and infrastructure category was in Nano (90), infectious diseases (67), and systematic ecology (56), respectively. Moreover, the highest ranked citations in three categories of survival, infrastructure, and excellence were related to traditional medicine, family medicine, and dentistry with a global rank of 8, 9 and 15, respectively. In categories of excellence, survival and infrastructure; public health, bioinformatics, and infectious diseases had the highest number of products with 7045, 5371 and 5135 articles.
Conclusion: There has been a marked improvement in the quality and quantity of all the subject categories over time. The general domains of excellence, survival, and infrastructure categories had the highest mean H-index, and the highest average growth rate of scientific productions was related to excellence, infrastructure and survival categories, respectively.
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.
