Elucidating experiences of faculty members in applying effective teaching strategies in the online class during the COVID-19: A qualitative study.

BACKGROUND: Despite the restrictions on providing medical courses online in medical universities, all instructors were required to provide training on virtual platforms. This study aimed to explain faculty members' experiences applying effective strategies in online class teaching. MATERIALS AND METHODS: This study has been done with a qualitative approach and using the method of conventional content analysis. Participants included 14 faculty members working at the Shiraz University of Medical Sciences. Semistructured interviews were used to collect data. Faculty members who had experience in conducting online classes were purposefully selected. Graneheim and Lundman's (2004) approach was used to analyze interview data. RESULTS: Two main categories were obtained from the data analysis: interpersonal communication and supportive behavior. The category of interpersonal communications comprises the subcategories of emotional expression and flexibility. The category of supportive behavior includes the subcategories of educational design, learner encouragement, diversity in evaluation, collaborative learning, and prompt feedback. CONCLUSION: Our findings confirmed that an appropriate teaching strategy leads to better attention to class and deep learning in learners. The cause is that in online classes, the student's attention is more minor than in daily classes due to its virtual nature. Appropriate educational strategies will motivate learners, interest them, and improve teacher interaction. These strategies increase students' participation in educational activities.

Risk Factors of Osteoporosis in Females: A Hospital-Based Case-Control Study, Yazd, Iran.

Background: The aim of this study was to evaluate the predictors of osteoporosis in women in Yazd, Iran. Methods: This hospital-based case-control study was performed on 270 women 35-65 yr old (135 case and 135 control) from Mar 2016 to Mar 2017. Case and control were matched in terms of age ± 2 (year) as a group matching. Osteoporosis is defined as a T-score of bone mineral density (BMD) below -2.5 SD. Data were analyzed using SPSS 20 software. Statistical tests included chi-square, student t test and Mann Whitney test .Multiple logistic regression (MLR) which forward method was used for modeling. Results: Odds ratio (OR) of osteoprosis were menarche age>12 yr (OR=3.37, CI:2.29-15.89), history of hysterectomy (OR=13, CI:3.81-44.82), rheumatoid arthritis (RA) (OR=6.58, CI:2.29-18.91) calcium supplements (OR=0.14, CI:0.04-0.41), menopause age <40 (OR=11.84, CI:1.54-90), second smoking (OR=3.38, CI:1.16-9.81) and increase of weight (OR=0.86, CI:0.80-0.94). Conclusion: Predictors of osteoporosis was menarche age >12 yr (3 times), history of hysterectomy (13 times), RA (6.5 times), menopause age <40 (12 times), second smoking (more than 3 times), calcium supplements and weight (protective).

Reliability and validity of the Persian version of the ACE tool: assessing medical trainees' competency in evidence-based medicine.

BACKGROUND: Evidence-based medicine (EBM) allows users to integrate evidence into decision-making alongside clinical expertise and patient values. This study aimed to evaluate the reliability and validity of the Persian version of the Assessing Competency in EBM (ACE) tool across knowledge, skills, and attitude. METHODS: This cross-sectional study was performed on medical residents (first-year residents and junior residents) of Shiraz University of Medical Sciences in 2019. The study instrument was the ACE tool which consists of 15 two-choice questions (yes-no) and each of these questions measures one of four steps in evidence-based medicine (1- asking the answerable question, 2- searching the literature, 3- critical appraisal, and 4- applying the evidence to scenario). This tool was translated into Persian according to international standards. To ensure that the original and translated ACE questionnaire can be matched accurately and conceptuality, content validity index (CVI) and content validity ratio (CVR) were determined. Cronbach's alpha was applied to determine the internal consistency for each scale and Confirmatory factor analysis (CFA) was used to survey the factor structure validity. RESULTS: One hundred sixty-three questionnaires were studied, selecting 59 first-year medical residents and 104 s-year medical residents. The results showed that using the Persian translation of the ACE tools, the content validity index (CVI) values were equal to or above 0.8 for all items. The content validity ratio (CVR) value was 0.90 for the total scale. The indicators of the confirmatory factor analysis (CFA) for the ACE tool revealed that this model had an acceptable fit. Cronbach's alpha for the overall score was 0.79. CONCLUSION: The Persian translated version of the ACE tool is a valid and reliable instrument for assessing medical trainees' competency in EBM.

Population attributable risk of risk factors for type 2 diabetes; Bayesian methods.

OBJECTIVE: Demonstrating the risk factors of diabetes can help to plan for prevention of this disease. This study aimed at quantification of the impact of physical activity, hypertension, general obesity, central obesity, high cholesterol, HDL, LDL, triglyceride, smoking, hookah, drug use, alcohol consumption on the incidence of type 2 diabetes at a population level in Yazd, Iran. And this study calculated population attributable risk (PAR) of them. METHODS: For this study, data from the first phase of the cohort study of chronic diseases in the adults of Yazd city were used, which began in 2016. Data was recorded through a cohort trained team. To calculate PAR and its the Bayesian confidence interval were performed using software R (version 3.4.3). RESULTS: Of the 9967 subjects studied, age ≥30, 14.67% (n = 1432) has type 2 diabetes. The most common risk factors for diabetes were Inadequate physical activity and central obesity (WHR). The PAR for Inadequate physical activity of diabetes in women was 17.92%, in men 18.53, And PAR for WHR in women was 57.62%, in men 43.03. CONCLUSIONS: In this study, age was the strongest determinant of diabetes. And then type 2 diabetes is mainly attributable to WHR, significantly more so in women than men. Therefore, central obesity probably should be considered as a major strategy for reducing incidence of type 2 diabetes.