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⮚ Coronavirus Disease 2019 was declared a pandemic on March 11, 2020. ⮚ Facemasks are recommended by the WHO to prevent droplet and aerosol transmission even in vaccinated persons ⮚ The study aims to investigate the knowledge, attitudes, and practices of mask use for COVID-19 among the student population of The University of West Indies, St. Augustine.

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OBJECTIVES: To review the modified Canadian Triage and Acuity Scale used in an accident and emergency department in Trinidad and Tobago. DESIGN AND METHODS: A cross-sectional study was carried out. Times from assignment of triage category to being seen by a physician were collected from the patient notes on the days of presentation and compared to the reference standards. Times from decision to admit to obtaining a bed were also recorded. RESULTS: 200 patients were included in the study. The median waiting time for patients in the immediate/blue category was 3 minutes (range = 3); for the red category, it was 31.2 minutes (range = 121.8); in the yellow category, it was 61.8 minutes (range = 805.2). The overall admission rate was 30.5%, with an admission rate of 25% for the blue category; 20% of patients in the red category waited more than 4 hours for a hospital bed. CONCLUSION: The patients assigned to the blue category were being seen almost immediately. Less critical persons wait longer than the reference times and this may be due to structural factors such as staffing. The admission rates per category highlighted a low admission rate for the blue category (25%), which is unusual. This study highlights the need for a further study to review clinical presentation, assignment to triage category, and outcomes.

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Preterm neonatal mortality contributes significantly to the high incidence of death among children under five years of age. Neonatal mortality also serves as an indicator of maternal health in society. The aim of the study is to examine the risk factors for preterm neonatal mortality at the neonatal intensive care unit (NICU) at Mount Hope Women's Hospital in Trinidad and Tobago (MHWH). In this retrospective study, we included infants (N = 129), born < 37 weeks gestational age, between 1 January and 31 December 2015. Two binary logistic regression models (infant and maternal variables) were constructed to identify predictors of preterm neonatal mortality. Roughly 12% of the infants died after being admitted to the NICU. The binary logistic regression (infant model) had an excellent fit (area under the curve (AUC): 0.904, misclassification rate: 11.7%) whilst the maternal binary logistic model had a fair fit (AUC: 0.698). Birth weight, length of time on the ventilator and obstetric complications proved to significantly influence the odds of preterm neonatal death. The estimated models show that improvement in neonatal as well as maternal variables has direct impact on preterm neonatal mortality.

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BACKGROUND: Alzheimer's disease is most common among the dementias and is characterized by gradual declines in functional and cognitive abilities. Caregivers including family members play a key role in providing critically needed care for these patients. OBJECTIVE: This study compared the knowledge and attitudes of pre-healthcare and non-medical undergraduate students towards patients with Alzheimer's disease. MATERIALS AND METHODS: A cross-sectional study was conducted involving quota sampling of 691 undergraduate students (369 pre-healthcare and 322 non-medical). A 28-item questionnaire was utilised comprising of closed-ended questions and some based on a scale rating. The students' knowledge of Alzheimer's disease was arranged into categories such as: 0 for no knowledge about Alzheimer's disease, 1 for very little knowledge about Alzheimer's disease, 2 for fair knowledge about Alzheimer's disease and 3 for great knowledge about Alzheimer's disease. STATISTICAL ANALYSIS: The data was analysed using the computer software SPSS and the Chi squared test of independence was also used to determine which knowledge variables were independent of student's status. RESULTS: Overall, 40.01% of the students have great or fair knowledge of Alzheimer's disease, with that of pre-healthcare students being satisfactory (54.47%). Pre-healthcare students have a more positive attitude towards Alzheimer's disease and 82.2% of students wished to take advantage of predictive test for Alzheimer's disease. Age and genetics were identified as risk factors of the disease. CONCLUSION: Pre-healthcare students had greater understanding of Alzheimer's disease and depicted a more empathetic and caring attitude towards patients. This can be attributed mainly to their knowledge and exposure toward the disease.