METHODS: A cross-sectional study was conducted among doctors and nurses in the medical department in Pusat Perubatan Universiti Kebangsaan Malaysia between November 18, 2020 and December 18, 2020 during the third wave of COVID-19 epidemic in Malaysia. We studied the knowledge and practice of preventive measures of COVID-19 among doctors and nurses in the COVID-19 or sudden acute respiratory infection (SARI) wards and general medical wards. Data was collected using a validated self-designed google form online-questionnaire.
RESULTS: A total of 407 subjects completed the study and 80.8% were females; 55.8% were aged between 30-39 years; 46.4% were medical doctors. The main source of COVID-19 knowledge was the Ministry of Health Malaysia (MOH) website (35.1%). Majority (97%) had sufficient knowledge and 82% practiced proper preventive measures. Doctors had a higher mean knowledge score compared to nurses (p < 0.001). HCWs working in COVID-19 or SARI wards scored higher in knowledge questions compared to those in the general medical wards (p = 0.020). Nurses practiced better preventive measures (p < 0.001). Good knowledge could not be predicted based on professions (OR: 0.222, 95% CI: 0.048 - 1.028, p = 0.054). Majority were unable to recall the proper steps of donning (85.8%) and doffing (98.5%).
CONCLUSIONS: Although majority had good knowledge and practiced proper preventive measures, there was a poor recall in donning and doffing steps regardless of place of practice. The MOH website is a useful platform for tailored continuous medical education and regular updates on COVID-19. Regular training and retraining on donning and doffing of PPE is needed to bridge this gap.
METHODS: This was a single-center, open-label study on patients undergoing bronchoscopy, randomized into the control and interventional (VR) groups. The control group received standard care during FB. The interventional group was given a VR device during FB showing nature videos with soothing instrumental music. Pain, breathlessness, and cough were evaluated using a 10 cm visual analogue scale administered before and after FB. Anxiety was assessed using the State-Trait Anxiety Inventory. Satisfaction questionnaire (5-point Likert scale) was given to participants post FB.
RESULTS: Eighty participants enrolled, 40 in each arm. Median (IQR) satisfaction score in the VR group was 5.0 (3.0-5.0), and in the control group was 4.0 (3.0-5.0); (p
METHODS: A cross-sectional study on 284 epilepsy patients was performed in a local tertiary centre. The demographic and clinical epilepsy data were collected. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires were utilised to determine the quality of life and daytime hypersomnolence of epilepsy patients, respectively.
RESULTS: Poor sleep quality was reported in 78 (27.5%) patients while daytime hypersomnolence was present in 17 (6%) patients. The predictors of poor sleep quality include structural causes (OR = 2.749; 95% CI: 1.436, 5.264, p = 0.002), generalised seizures (OR = 1.959, 95% CI: 1.04, 3.689, p = 0.037), and antiseizure medications such as Carbamazepine (OR = 2.34; 95% CI: 1.095, 5.001, p = 0.028) and Topiramate (OR 2.487; 95% CI: 1.028, 6.014, p = 0.043). Females are 3.797 times more likely score higher in ESS assessment (OR 3.797; 95% CI: 1.064, 13.555 p = 0.04).
DISCUSSION: Sleep disturbances frequently coexist with epilepsy. Patients should be actively evaluated using the PSQI and ESS questionnaires. It is imperative to identify the key factors that lead to reduced sleep quality and heightened daytime sleepiness in patients with epilepsy, as this is essential to properly manage their condition.