Online assessment in two consequent semesters during COVID-19 pandemic: K-means clustering using data mining approach

BACKGROUND: Education and assessment have changed during the COVID-19 pandemic so that online courses replaced face-to-face classes to observe the social distance. The quality of online assessments conducted during the pandemic is an important subject to be addressed. In this study, the quality of online assessments held in two consecutive semesters was investigated. MATERIALS AND METHODS: One thousand two hundred and sixty-nine multiple-choice online examinations held in the first (n = 535) and second (n = 734) semesters in Birjand University of Medical Sciences during 2020–2021 were examined. Mean, standard deviation, number of questions, skewness, kurtosis, difficulty, and discrimination index of tests were calculated. Data mining was applied using the k-means clustering approach to classify the tests. RESULTS: The mean percentage of answers to all tests was 69.97 ± 19.16, and the number of questions was 34.48 ± 18.75. In two semesters, there was no significant difference between the difficulty of examinations (P = 0.84). However, there was a significant difference in the discrimination index, skewness, and kurtosis of tests (P < 0.001). Moreover, according to the results of the clustering analysis in the first semester, 43% of the tests were very hard, 16% hard, and 7% moderate. In the second semester, 43% were hard, 16% moderate, and 41% easy. CONCLUSION: To evaluate the tests’ quality, calculating difficulty and discrimination indices is not sufficient;many factors can affect the quality of tests. Furthermore, the experience of the first semester had changed characteristics of the second-semester examinations. To enhance the quality of online tests, establishing appropriate rules to hold the examinations and using questions with higher taxonomy are recommended.

Angiotensin-converting enzyme 1 and voltage-gated potassium channel-interacting protein 4 gene polymorphisms in COVID-19 patients from east of Iran.

BACKGROUND: Coronavirus disease 2019(COVID-19), the infectious respiratory disease caused by a newly discovered pathogen (severe acute respiratory syndrome coronavirus 2), is a pandemic that places a burden on the health care system. Recently, most research on COVID-19 has emphasized its profound impact on specific regions and ethnic groups. A possible explanation for these variations in disease presentation and severity might be differences in the gene pool of populations. This study therefore attempted to clarify possible involvements of genetic factors affecting COVID-19 pathogenesis with a focus on voltage-gated potassium channel-interacting protein 4 (KCNIP4) and angiotensin-converting enzyme 1 (ACE1) gene polymorphisms. MATERIALS AND METHODS: In this case-control study, the polymorphisms were genotyped using PCR in 194 COVID-19 patients and 194 healthy controls. RESULTS: COVID-19 susceptibility and severity appeared to be unaffected by these polymorphisms. However, this study supported the relevance of ACE1 II genotype frequency to a decreased number of deaths due to the infection. We found that COVID-19 patients with the ACE1 II genotype have a statistically significant better chance of survival (p = 0.008). CONCLUSION: This study strengthens the idea that the ACE1 I/D polymorphism can be a novel prognostic factor indicating the outcome of COVID-19.

Seroprevalence of SARS-COV-2 antibodies among health-care workers exposed to COVID-19 patients in a large reference hospital, Iran.

Background and Objectives: Health care workers (HCWs) are a high-risk group for acquiring and transmitting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Aim of the study was the evaluation of seroprevalence of SARS-CoV-2 in a random sample of HCWs at a large acute care hospital in Iran. Materials and Methods: We collected blood samples of 180 medical staffs from September 22, 2020 to January 26, 2021. The enzyme linked immunosorbent assays (ELISA) tests were used for evaluation of the presence of IgG antibodies. Participants completed a self-report questionnaire, comprising demographics, occupational, the work area, and personal protection data. Results: Of the 180 HCWs who participated in this study, 44 (24.4%) were seropositive for anti-SARS-CoV-2 IgG. The percentage of IgG positivity was higher in males than females (P<0.05). Also, there was statistically significant difference between presence of the antibodies and the occupation, location, and infecting family members with Covid -1 (P<0.05). Other factors did not associate significantly to antibody presence against SARS-CoV-2 (P>0.05). Conclusion: According to this point that the number of COVID-19 cases is still growing rapidly among HCWs. So, the epidemiological estimate of SARS-CoV-2 infection remains a major challenge that is needed to prevent the spread of infection in the hospitals.

Strategies for sharing pedagogical knowledge in clinical education in adapting to the impact of COVID-19.

BACKGROUND: The extent and complexity of knowledge in the field of medicine necessitate modern education systems. Rational performance in the education system depends on the synergy of educators through knowledge sharing as the basis of education. The aim of this study was to investigate the knowledge-sharing strategies in clinical education and its changes during the COVID-19 pandemic. MATERIALS AND METHODS: The content analysis was conducted in 2019 at Birjand University of Medical Sciences. Twenty-seven clinical instructors with enough experience and knowledge in the field of clinical education were chosen based on purposive theoretical sampling. Data collection was done by semi-structured interviews, which continued until data saturation. The interviews were recorded, transcribed, and read several times to obtain a whole understanding. Next, the meaning units and initial codes were identified, and then, they were classified into subcategories and categories. To ensure the trustworthiness of the data, Lincoln and Guba criteria were considered. RESULTS: The results of the study include five pedagogical knowledge-sharing strategies: "peer-helping, clinical education workplace," "use of cyberspace," "student mediation," "working teams," and "scientific communities." Coronavirus pandemic was identified as the "facilitator" and the "culturalization factor" of knowledge sharing. In addition, "lack of shared knowledge management," "lack of compliance with needs," and "dispersion of content" were considered as barriers to the efficiency of pedagogical knowledge sharing during the coronavirus pandemic. CONCLUSIONS: Sharing knowledge in a clinical education setting could continue by various strategies. The results can be used in planning for the professional development of professors.

Strategies for sharing pedagogical knowledge in clinical education in adapting to the impact of COVID-19

BACKGROUND: The extent and complexity of knowledge in the field of medicine necessitate modern education systems. Rational performance in the education system depends on the synergy of educators through knowledge sharing as the basis of education. The aim of this study was to investigate the knowledge-sharing strategies in clinical education and its changes during the COVID-19 pandemic. MATERIALS AND METHODS: The content analysis was conducted in 2019 at Birjand University of Medical Sciences. Twenty-seven clinical instructors with enough experience and knowledge in the field of clinical education were chosen based on purposive theoretical sampling. Data collection was done by semi-structured interviews, which continued until data saturation. The interviews were recorded, transcribed, and read several times to obtain a whole understanding. Next, the meaning units and initial codes were identified, and then, they were classified into subcategories and categories. To ensure the trustworthiness of the data, Lincoln and Guba criteria were considered. RESULTS: The results of the study include five pedagogical knowledge-sharing strategies: “peer-helping, clinical education workplace,” “use of cyberspace,” “student mediation,” “working teams,” and “scientific communities.” Coronavirus pandemic was identified as the “facilitator” and the “culturalization factor” of knowledge sharing. In addition, “lack of shared knowledge management,” “lack of compliance with needs,” and “dispersion of content” were considered as barriers to the efficiency of pedagogical knowledge sharing during the coronavirus pandemic. CONCLUSIONS: Sharing knowledge in a clinical education setting could continue by various strategies. The results can be used in planning for the professional development of professors.

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients' characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

Evaluation of the effect of sofosbuvir and daclatasvir in hospitalized COVID-19 patients: a randomized double-blind clinical trial (DISCOVER).

BACKGROUND: The combination of sofosbuvir and daclatasvir has shown preliminary efficacy for hospitalized patients with COVID-19 in four open-label studies with small sample sizes. This larger trial aimed to assess if the addition of sofosbuvir/daclatasvir to standard care improved clinical outcomes in hospitalized patients with COVID-19. METHODS: This was a placebo-controlled, double-blind, randomized clinical trial in adults hospitalized with COVID-19 at 19 hospitals in Iran. Patients were randomized to oral sofosbuvir/daclatasvir 400/60 mg once-daily or placebo in addition to standard of care. Patients were included if they had positive PCR or diagnostic chest CT, O2 saturation <95% and compatible symptoms. The primary outcome was hospital discharge within 10 days of randomization. Secondary outcomes included mortality and time to clinical events. The trial is registered on the Iran Registry of Clinical Trials under IRCT20200624047908N1. RESULTS: Between July and October 2020, 1083 patients were randomized to either the sofosbuvir/daclatasvir arm (n = 541) or the placebo arm (n = 542). No significant difference was observed in the primary outcome of hospital discharge within 10 days, which was achieved by 415/541 (77%) in the sofosbuvir/daclatasvir arm and 411/542 (76%) in the placebo arm [risk ratio (RR) 1.01, 95% CI 0.95-1.08, P = 0.734]. In-hospital mortality was 60/541 (11%) in the sofosbuvir/daclatasvir arm versus 55/542 (10%) in the placebo arm (RR 1.09, 95% CI 0.77-1.54, P = 0.615). No differences were observed in time to hospital discharge or time to in-hospital mortality. CONCLUSIONS: We observed no significant effect of sofosbuvir/daclatasvir versus placebo on hospital discharge or survival in hospitalized COVID-19 patients.

Comparison of the use of personal protective equipment and infection control in dentists and their assistants before and after the corona crisis.

BACKGROUND: Coronavirus disease 2019 is a new viral outbreak in the world. Dentists and their assistants are at greatest risk of exposure to the virus, due to close contact with patients and dealing with aerosols. Hence, the aim of this study was to compare the use of personal protective equipment (PPE) and supplementary protective equipment (SPE) and observance of the principles of infection control (PIC) in dentists and their assistants before and after the corona crisis. MATERIALS AND METHODS: This cross-sectional study was conducted using an online survey from May 6 to 20, 2020. Convenience sampling was used to select individuals. The questionnaire, consisting of four general categories about the use of PPE and SPE and the observance of PIC by dentists and their assistants before and after corona crisis, was registered at Porsline website (https://survey.porsline.ir/s/KUt7VQB). Frequencies in each subcategory were calculated and comparisons were done using Chi-square test, Fisher's exact test, and paired sample t-test. A P < 0.05 was considered statistically significant. RESULTS: There were significant differences in the frequency of use of PPE by dentists before and after corona crisis for oral and dental examination and also dental procedures (P < 0.001). There were significant differences in the frequency of use of SPE and observance of PIC before and after corona crisis, except for different types of suction types (P = 0.22), dental handpiece (P = 0.66), and dental unit (P = 1). There were significant differences in the frequency of use of PPE by dental assistants before and after corona crisis (P < 0.001). CONCLUSIONS: Although the frequency of use of PPE and observance of PIC increased among dentists and their assistants, this increase is not sufficient, especially for dental assistants, and a higher level of use of PPE and PIC observance in face of highly contagious and life-threatening viruses such as corona is required.

Possible Potential Effects of Honey and Its Main Components Against Covid-19 Infection.

Coronavirus disease 2019 (COVID-19) is a viral pneumonia that is spreading rapidly worldwide. The main feature of this disease is a severe acute respiratory syndrome and caused by coronavirus 2 (SARS-CoV-2). There are several unknowns about the pathogenesis and therapeutically treatment of COVID-19 infection. In addition, available treatment protocols have not been effective in managing COVID-19 infection. It is proposed that natural anti-oxidants such as lemon, green tea, saffron, curcuma longa, etc. with high flavonoids like safranal, crocin, crocetin, catechins, resveratrol, calebin A, curcumin have therapeutic potential against viral infections. In this context, honey and its main components are being investigated as an option for patients with COVID-19. The present study may indicate that honey and its main components inhibit the entry of the virus into the host cell and its replication as well as modulate the inflammatory cascade. This review provides basic information for the possible potential effects of honey and its main components for fighting with SARS-CoV-2.

Uncovering psychobehavioural implications of SARS-CoV-2 infection in Iran.

Iran is the country in Western Asia most impacted by the COVID-19 outbreak. A survey was conducted among the general public in Iran aimed at investigating psychobehavioural issues related to the COVID-19 outbreak, namely (a) barriers to preventive measures against SARS-CoV-2 infection; (b) negative emotions towards SARS-CoV-2 infection; and (c) anxiety levels among the general public in Iran. A cross-sectional, web-based survey using an online questionnaire was carried out between 16 March and 1 April 2020. The six-item version of the State-Trait Anxiety Inventory (STAI-6) was used to assess anxiety levels. A total of 1,789 complete responses were received. Nearly 60% reported having difficulty in wearing a face mask to protect against SARS-CoV-2 infection. The mean and standard deviation (SD) for the total prevention barrier score was 35.8 (SD ± 7.1; range 18-68) out of a possible score of 72. Male respondents [odds ratio (OR) = 1.25; 95% confidence interval (CI) 1.03-1.51] and respondents who perceived their health status as poor/fair (OR = 1.49; 95% CI 1.31-1.82) were predictors of high prevention barriers. Negative emotions such as fear (74.6%) followed by depression (43.4%) and stigma (23.0%) associated with SARS-CoV-2 infection were reported. Respondents who perceived their health as poor/fair (OR = 2.19; 95% CI 1.57-3.04) reported a higher likelihood of having higher negative emotions. Findings on anxiety level revealed 68.0% (95% CI 65.8-70.1) reported moderate to severe anxiety. Respondents who perceived their health as poor/fair (OR = 3.46; 95% CI 12.22-5.40) and who were females (OR = 1.91; 95% CI 1.55-2.36) were predictors of moderate to severe anxiety. In conclusion, psychobehavioural interventions are needed to facilitate management and control of the COVID-19 outbreak.