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Predicting the Performance of Faculty Members of Medical Universities in Providing Virtual Learning in the Covid-19 Pandemic in terms of Problem-Solving Methods and Their Individual Social Characteristics: A Data Mining Study
Mohammad Sattari, Rahele Samouei,
Volume 80, Issue 12 (3-2023)
Abstract
Background: In the Covid-19 Pandemic, virtual education in universities became essential and came with some challenges, especially for professors who had the role of presenters. In this regard, the study was conducted to predict the performance of professors in providing virtual training in Covid-19 in terms of problem-solving methods and their demographics.
Methods: A descriptive-analytical study was performed on 252 professors of Iranian universities of medical sciences from 2021 April to 2021. Also, demographic characteristics such as gender, field of study, position, job rank and work experience were asked. The faculty members' performance questionnaire in providing virtual training (α=0.89) and the problem-solving methods questionnaire (α=0.75) was administered virtually and the data were analyzed by Random forest, CHAID and ID3 techniques.
Results: Based on used data mining methods findings, factors related to teachers' satisfaction with their performance in providing virtual education were "the possibility of monitoring the performance of homework", "establishing order and regulations", "preparing standard educational content", "using multimedia content", "Mastery of software, educational systems, and multimedia content", and "possibility of examining the quality and quantity of students' learning". Also, interpersonal problem-solving methods, such as "believing in the role of personality traits of people in their behavior", "solving problems with effort and follow-up", "notifying people's mistakes in interpersonal interactions", "giving people the opportunity to check their behavior", "proposing solutions to solve problems for the benefit of both parties", and "dividing big problems into smaller parts" have played a big role in professors' satisfaction about their teaching methods. These characteristics are related to more basic areas such as self-regulation, pursuit and challenge, agreeableness, and realism.
Conclusion: The results of the study showed that the performance of teachers in providing virtual education is influenced by some behavioral factors and individual situational abilities. However, despite the virtual training implementation difficulties, it is a productive opportunity that can be used in the days of returning for conditions (after-covid 19 condition) without physical distance along with face-to-face training.

Studying the educational satisfaction of obstetrics and gynecology residents of Tehran University of Medical Sciences with the residency training program
Mahroo Rezaieenejad , Fedyeh Haghollahi, Nasim Eshraghi, Hossein Gholamzadeh , Marjan Ghaemi, Zinat Ghanbari,
Volume 82, Issue 1 (4-2024)
Abstract
Background: Given the significance of patient care in obstetrics and gynecology, we aimed to assess the satisfaction of Tehran University of Medical Sciences residents with their training program in this field.
Methods: In this cross-sectional descriptive study, 77 obstetrics and gynecology residents from the first to fourth year at Tehran University of Medical Sciences participated with informed consent, adhering to ethical principles, from April to October 2023 across four teaching hospitals: Imam Khomeini, Shariati, Mohib Yas, and Arash.The researcher developed a questionnaire consisting of 62 online questions, including 15 demographic questions and 47 related to satisfaction. Most of the questions are statements with five response options: strongly agree, agree no opinion, disagree, and strongly disagree. Each criterion was assessed and classified on a scale from one to five. The assistants' satisfaction levels were assessed in various areas, yielding an overall score of 47-235. Scores above 70% indicate high satisfaction, 50-69% reflects average satisfaction, and below 50% signifies dissatisfaction. It's important to clarify that the areas include clinics, with specific focus on rotation shifts for assistants in gynecology, oncology, prenatal care, and infertility. Data analysis was conducted using SPSS software, Version 22. Descriptive statistics included the median and range for continuous variables (number of surgeries and satisfaction scores) and frequency and percentage for nominal variables (quality of satisfaction) across three defined levels of desirability: appropriate, relatively appropriate, and unfavorable.
Results: Satisfaction with the number of surgeries and educational quality at Imam Khomeini Hospital was higher than at other hospitals (P=0.07). Significant differences were noted in the gynecology and pelvic surgery departments, with residents at both Imam Khomeini and Arash hospitals reporting greater satisfaction in gynecology (P=0.018) and pelvic surgery (P=0.036). Additionally, regarding the conference program and educational mornings, Shariati Hospital reported a higher level of satisfaction in this area (P=0.47).
Conclusion: The satisfaction scores in various areas indicate that 64.5% of assistants at Imam Khomeini Hospital rated their educational status as appropriate, while 60% at Arash Hospital rated it as relatively good, and 25% at Yas Hospital found it unfavorable.

Factors affecting the interest of specialized assistants to continue studying in subspecialized fields: a brief report
Ghazal Mansouri, Fatemeh Nouri Koohbanani , Fatemeh Karami Robati , Robabe Hosseinisadat,
Volume 82, Issue 2 (5-2024)
Abstract
Background: Choosing a specialty in medicine is an important decision for the individual. It is also important decision for the health system. This study aimed to investigate the factors affecting the interest of specialized assistants to continue studying in subspecialized fields.
Methods: This descriptive cross-sectional study investigated the factors affecting the interest of 261 specialized assistants to continue their studies in subspecialized fields from March 2021 to March 2022. All the specialized assistants of Kerman University of Medical Sciences (KMU), whose assistantship continued until the end of March 2022, were included in the study by census method. The data collection tool was a 4-part questionnaire. 1) demographic information including 13 questions (age, gender, marital status, city where the family lives, place of residence to complete the residency course, specialized field, level of education, grade point average, parents' education, parents' occupation and having first-degree relatives with subspecialized degrees), 2) the willingness or unwillingness to continue studying in subspecialized fields and the field of interest, 3) the reasons for the assistants' interest in continuing their education, included 14 questions, and 4) the reasons for the assistants' lack of interest in continuing their education, included 14 questions.
Results: The average age of the assistants was 31.53±3.90 years old. Most of the assistants were women (57.9%). 57.5 percent of the assistants were interested in continuing their studies in subspecialized fields. The most important reason for residents' interest in continuing their studies was "increasing practical-clinical knowledge" (80.1%). The most interest in continuing education was observed in internal assistants (17.33%). The assistant's age, specialist field and having first-degree relatives with a subspecialist degree had a significant relationship with the interest of the assistants to continue studying in subspecialist fields.
Conclusion: The results showed that a significant percentage of assistants were interested in continuing their studies in subspecialized fields. Age, the assistant's specialty and having first-degree relatives with a subspecialist degree had a significant effect on this interest.

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