This study aimed to identify the prevalence of and risk factors for poor sleep quality among medical residents in KSA. A cross-sectional study was conducted on residents in programmes supervised by the Saudi Commission for Health Specialties. An anonymous, self-administered, web-based survey using the Pittsburgh Sleep Quality Index (PSQI) was done. The study received ethical approval from the institutional review board of the King Saud University College of Medicine, Riyadh, KSA. A total of 1205 residents responded to the survey. A high prevalence of 86.3% of poor sleep quality was recorded. When grouped by specialty, anaesthesia residents had the highest prevalence of poor sleep quality (96%), whereas pathology residents had the lowest prevalence (68.7%). Increased sleep latency was the most common contributor to poor sleep quality, observed in 68.4% of residents at least once a week. Poor sleep quality was further stratified based on median PSQI scores into stages 1 (46.9%) and 2 (39.4%). Using multivariate logistic regression, the age group of those between 27 and 29 years (p = 0.012) covering on-call cases (p ≤ 0.01) or working shifts (p < 0.001) was significantly associated with stage 2 poor sleep quality. Poor sleep quality is highly prevalent among medical residents in KSA. Increased sleep latency and short sleep duration were the most reported sleep distractors. On-call scheduling and shift work were major risk factors for poor sleep quality. Training programmes should abide by the 80-hour weekly limit and integrate wellness programmes into the curriculum.

Purpose: The coronavirus disease 2019 (COVID-19) pandemic may increase demand for healthcare professionals (HCPs), either because of a HCP shortage due to illness or because of the need to increase surge capacity. Final-year medical students are one of the resources potentially available to expand the workforce. There is a need to explore the willingness of final-year medical students to meet this demand, examine their perceived competence, and determine how their overall perceived competence correlates with their willingness. Methods: A cross-sectional study using a self-administered electronic questionnaire was used. The questionnaire included demographic data, students’ self-perceived competence derived from the patient care theme of the Saudi Medical Education Directives (SaudiMED) framework, and their willingness to be measured on a 5-point Likert scale. The study targeted final-year medical students at King Saud University, Riyadh, Saudi Arabia. Results: The number of participants was 134 (56.1% response rate), of whom 47 students (34.3%) were willing to work, while 31 (23.1%) were somewhat willing. The mean total self-perceived-competence score was 58.36/88 (66.3%). Demonstration of essential clinical skills had the highest mean score 11.48/16 (71.8%) among learning outcomes. There was a positive moderate correlation between willingness and mean perceived-competence score (Spearman correlation coefficient=0.45, p< 0.001). Conclusion: Fifty-seven percent of medical students were willing to work as part of the healthcare workforce during the COVID-19 pandemic. Better overall self-perceived competence appeared to correlate with more willingness. Students perceive themselves to be more competent in essential clinical skills. Appropriate training and supervision are suggested in all tasks assigned to them, with additional care required in areas with a lower perceived competence, such as prescription writing and essential clinical procedures.

Please cite this paper as: Mohamed et al. (2011) Communicability of H1N1 and seasonal influenza among household contacts of cases in large families. Influenza and Other Respiratory Viruses 6(3), e25–e29.

Purpose: Smartphone addiction is prevalent among medical students, and there is a concern that the coronavirus disease 2019 (COVID-19) pandemic fueled a rise in smartphone addiction. Earlier studies suggest a link between excessive smartphone usage and negative outcomes such as depression, stress, and reduced academic achievement. However, there is a dearth of both local studies in Saudi Arabia and studies conducted during the COVID-19 pandemic exploring the prevalence of smartphone addiction and its association with academic performance, depression, and perceived stress, which is the purpose of the current study. Methods: In 2021, a cross-sectional research project took place among medical students at King Saud University and the Vision Colleges located in Riyadh, Saudi Arabia. An online self-administered questionnaire consisting of demographic variables, grade point average (GPA), the Patient Health Questionnaire-9 (PHQ-9), the Perceived Stress Scale-4 (PSS-4), and the Smartphone Addiction Scale—Short Version (SAS-SV) was deployed. Results: Three hundred and fifteen students participated. Around 47.9% of students reported smartphone addiction, and the mean SAS-SV score was 32.31 ± 12.01 points. Both PHQ-9 and PSS-4 scores showed a significant positive correlation with the SAS-SV score (r = 0.216, p < 0.001 and r = 247, p < 0.001, respectively), while GPA did not (r = −0.027, p = 0.639). An adjusted analysis showed that the PSS-4 score was positively associated with the SAS-SV score (odds ratio (OR) = 1.206, p < 0.001), while the PHQ-9 score was not (OR = 102, p = 0.285). Conclusions: Smartphone addiction is prevalent among medical students and associated with perceived stress. Additional research is required to gain a deeper comprehension of this issue and to assess the success of intervention initiatives aimed at encouraging healthy smartphone usage, particularly in times of crisis like the COVID-19 pandemic.

This study aims to assess the prevalence of potentially inappropriate medications (PIMs) and to analyze the relationship between the PIMs and frailty among inpatient older adults aged 65 and above in Saudi Arabia. A retrospective cross-sectional study design was utilized during the period between April 2021 and April 2022 of all patients aged 65 years and above admitted in a public tertiary hospital in Saudi Arabia. Data on the number of medications and the use of PIMs were assessed using Beers’ criteria while the frailty status was assessed using the “FRAIL Scale”. Of the 358 patient files that were reviewed, 52.2% were males, 60.9% were aged 65–74 years, and 82% were married. The prevalence of robust, prefrail, and frail patients was 5%, 36.9%, and 58.1%, respectively. According to the 2019 Beers criteria, a total of 45.8% (n = 164) participants identified as using PIMs. Compared to the non-PIMs group, the PIMs group demonstrated significant differences in the number of medications (p < 0.001), the number of comorbidities (p < 0.05), and the frailty score (p < 0.001). The strongest predictor of PIM use was a number of comorbidities, recording an odds ratio of 2.86, (95% CI 1.21–6.77, p < 0.05). Our results show that the use of PIM was significantly associated with frail older adults with multiple comorbidities and in patients with polypharmacy. A clear assessment and evaluation tool may improve the quality of drug treatment in the older adult population, particularly in frail patients.

The coronavirus disease 2019 (COVID-19) has affected millions of people worldwide, of which 5% required intensive care, especially mechanical ventilation. The prognosis depends on several factors including comorbidities. This study was conducted to identify the comorbidities associated with the intensive care unit (ICU) admission in elderly with COVID-19 admitted to a tertiary academic hospital. A retrospective cross-sectional study was conducted at KSUMC including all hospitalized patients (age ≥ 65 years) with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection admitted between March 2020 and August 2021. Data collection included sociodemographic characteristics, underlying comorbidities, and the Charlson comorbidity index. Comorbidities were compared between the elderly patients with COVID-19 admitted to the ICU and those not admitted to the ICU. The odds ratios were calculated and a P value of < .05 and 95% confidence intervals were used to report the statistical significance A total of 444 patients (ICU = 147, non-ICU = 297) were included in the study. The study revealed that elderly patients with COVID-19 admitted to ICU had a higher rate of mortality (n = 64, 67.4%; P < .0001) and a higher proportion of them had shortness of breath (n = 97, 38.3%; P = .007) compared to the elderly patients not admitted to ICU. The mean length of stay (P < .0001), and weight (P = .02) among ICU patients were higher than the values for the non-ICU group, while the mean oxygen saturation (SpO2; P = .006) was lower among the ICU group. The comorbidities that demonstrated a statistically significant association with ICU admission were heart failure (P = .004, odd ratio (OR) = 2.02, 95% confidence intervals (CI) [1.263, 3540]), chronic obstructive pulmonary disease (COPD; P = .027, OR = 3.361, 95% CI [1.080, 10.464]), and chronic kidney disease (P = .021, OR = 1.807, 95% CI [1.087, 3.006]). The current study identified that the comorbidities such as COPD, heart failure, and factors like SpO2 and length of stay are associated with an increased risk of ICU admission in elderly patients with COVID-19. These findings highlight the clinical implications of comorbidity among geriatric population.