As with other fields, medical sciences are subject to different sources of bias. While understanding sources of bias is a key element for drawing valid conclusions, bias in health research continues to be a very sensitive issue that can affect the focus and outcome of investigations. Information bias, otherwise known as misclassification, is one of the most common sources of bias that affects the validity of health research. It originates from the approach that is utilized to obtain or confirm study measurements. This paper seeks to raise awareness of information bias in observational and experimental research study designs as well as to enrich discussions concerning bias problems. Specifying the types of bias can be essential to limit its effects and, the use of adjustment methods might serve to improve clinical evaluation and health care practice.

Although sample size calculations play an essential role in health research, published research often fails to report sample size selection. This study aims to explain the importance of sample size calculation and to provide considerations for determining sample size in a simplified manner. Approaches to sample size calculation according to study design are presented with examples in health research. For sample size estimation, researchers need to (1) provide information regarding the statistical analysis to be applied, (2) determine acceptable precision levels, (3) decide on study power, (4) specify the confidence level, and (5) determine the magnitude of practical significance differences (effect size). Most importantly, research team members need to engage in an open and realistic dialog on the appropriateness of the calculated sample size for the research question(s), available data records, research timeline, and cost. This study aims to further inform researchers and health practitioners interested in quantitative research, so as to improve their knowledge of sample size calculation.

Background. Medical education is rated as one of the most difficult trainings to endure. Throughout their undergraduate years, medical students face numerous stressors. Coping with these stressors requires access to a variety of resources, varying from personal strengths to social support. We aimed to explore the perceived stress, stressors, and coping strategies employed by medical students studying in a problem-based learning curriculum.Methodology. This is a cross-sectional study of randomly selected medical students that explored demographics, perceived stress scale, sources of stress, and coping strategies.Results. Of the 378 medical students that participated in the study, males were 59.3% and females 40.7%. Nearly 53% of the students often felt stressed, and a third felt that they could not cope with stress. Over 82% found studying stressful and 64.3% were not sleeping well. Half of the students reported low self-esteem. Perceived stress scores were statistically significantly high for specific stressors of studying in general, worrying about future, interpersonal conflict, and having low self-esteem. Coping strategies that were statistically significantly applied more often were blaming oneself and being self-critical, seeking advice and help from others, and finding comfort in religion. Female students were more stressed than males but they employ more coping strategies as well.Conclusions. Stress is very common among medical students. Most of the stressors are from coursework and interpersonal relationships. Low self-esteem coupled with self-blame and self-criticism is quite common.

Epidural analgesia represents one of the most effective pharmacological ways to relieve labour pain. Women’s awareness regarding the use of epidurals is increasing. As the decision to use epidural analgesia during labour is affected by many social, personal and medical factors, this study aimed to explore the factors contributing to a pregnant women’s decision to use epidurals and to understand the benefit of implementing a health education program regarding epidural analgesia. A cross-sectional study was conducted with primigravid women visiting the Obstetric Clinics for their routine antenatal care at King Abdul-Aziz Medical City in Riyadh from October 2014 to December 2016. The participating pregnant women were educated on the use of epidural analgesia during labour by a professional health educator utilizing specially designed educational materials. We assessed the relationship between the women’s decision to request epidural analgesia and their age, place of residence, occupation, income and education level using a questionnaire. A total of 81 primigravid women were included in the study. Employed pregnant women were more likely to request epidural analgesia than non-employed women (46.7% vs. 18.2%, P = 0.019). After education, significantly more pregnant women were planning to request epidurals (mean score for answers before education was 2.12 ± 0.578 vs. 2.27 ± 0.592 after education, P = 0.013). Other variables, such as age, level of education, income and place of residence were not significantly associated with the participants’ decision to request epidural analgesia. Health education on epidural analgesia is an important factor in increasing primigravid women’s desire to request epidural analgesia. Education on epidural analgesia during antenatal care is needed for better decision making regarding the use of epidural analgesia during labour.

Digital transformation has become inseparable from education, and its implementation has broadly increased due to the increased adoption of e-learning during the COVID-19 pandemic. The present study evaluated the levels and influence of computer anxiety and digital readiness for academic engagement among undergraduate students. A cross-sectional study was conducted on 272 medical students enrolled in a medicine program. Two previously validated instruments were adopted. We examined the association between students’ sociodemographic variables, internet use, and perceived academic performance during e-learning and their computer anxiety and digital readiness. The results show a significant effect of gender, age, and internet use on students’ computer anxiety and digital readiness. Males’ information-sharing behavior and skills outperformed those of females, and students’ computer anxiety decreased with increasing age. In addition, the results indicate that the greater the students’ internet use, the better their digital readiness for academic engagement. Furthermore, computer anxiety and digital readiness affect students’ perceptions of their academic performance in e-learning. The rapid rate of technological advancements and the integration of e-learning into education means that careful attention must be paid to student characteristics as well as their skills. This will allow educators to create a successful, personalized learning framework.