Methods: A cross-sectional study was performed from January to April 2020 among students at Jahangirnagar University (JU), Bangladesh. Purposive sampling was conducted through an in-person interview using a structured questionnaire. Students from the faculties of biological sciences and non-biology background were included. The univariate ordinal regression technique was used to analyze the relationship between predictors and good knowledge about the antibiotics. A two-tailed p-value was calculated to determine statistical association.
Results: Out of 205 study participants, 92 and 113 responders were from biological science faculty and non-biology disciplines, respectively. Less than half of the students (42.4%) showed a good knowledge level (scores higher than 80%). Biology-background students possess better knowledge than non-biology students [odds ratio (OR) = 4.44, 95% confidence level (CL) (2.56, 7.70), p < 0.001]. A better attitude was noticed among all students. The self-medication rate was quite low, and more than 90% of students were found to consume antibiotics according to the physician's prescription. Lack of treatment adherence was recorded, and students admitted to stop-taking antibiotics when symptoms disappeared (48.67% biology and 36.26% non-biology). Multivariate regression analysis was unable to detect any significant association between self-medication and gender, student category or the level of knowledge about antibiotics.
Conclusion: Students of biological science background possessed better knowledge indicating the importance of appropriate curriculum imparted in knowledge buildup. Introducing a short course about the risk and development of antibiotic resistance will grow the students' awareness to avoid the resistance phenomenon.
Methods: This survey research was conducted from August to December 2018 through a pre-tested, self-administration, and cross-sectional random convenient sampling at various districts in the Klang Valley. A total of 275 registered community pharmacists were involved in this study by completing a pilot-tested questionnaire. Descriptive analysis, Mann-Whitney U test, and Kruskal-Wallis H test were used to analyze the data.
Results: The knowledge toward Zika virus infection of respondents was classified into "poor" (5.1%), "basic" (70.9%), and "broad" (24.0%). Most of the participants (n = 195, 70.9%) presented with basic knowledge toward Zika virus infection. A total of 268 (97.5%) participants presented with high awareness toward Zika virus infection. The mean score of respondents' knowledge and awareness was 15.88 ± 3.61 (maximum score = 28) and 13.96 ± 1.60 (maximum score = 16), respectively. There was a statistically significant difference between the years of practice of community pharmacists and the level of knowledge toward Zika virus infection.
Conclusions: In conclusion, our respondents demonstrated a basic level of knowledge and high awareness toward Zika virus infection. Also, we highlighted some possible pitfalls in the knowledge of Zika virus infection, including the virus transmission, symptoms, diagnosis, treatment, prevention, and complications of the disease.
METHODS: Retrospective data of 347 patients, consisting of maternal demographics and ultrasound parameters collected between the 20th and 25th gestational weeks, were studied. ML models were applied to different combinations of the parameters to predict SGA and severe SGA at birth (defined as 10th and third centile birth weight).
RESULTS: Using second-trimester measurements, ML models achieved an accuracy of 70% and 73% in predicting SGA and severe SGA whereas clinical guidelines had accuracies of 64% and 48%. Uterine PI (Ut PI) was found to be an important predictor, corroborating with existing literature, but surprisingly, so was nuchal fold thickness (NF). Logistic regression showed that Ut PI and NF were significant predictors and statistical comparisons showed that these parameters were significantly different in disease. Further, including NF was found to improve ML model performance, and vice versa.
CONCLUSION: ML could potentially improve the prediction of SGA at birth from second-trimester measurements, and demonstrated reduced NF to be an important predictor. Early prediction of SGA allows closer clinical monitoring, which provides an opportunity to discover any underlying diseases associated with SGA.
METHODS: The location and capability of hospitals to perform the Bellwether procedures was obtained from the Ministry of Health (MoH) and MoH hospital specific websites. The Malaysian population data were retrieved from the national department of statistics. Times for patients to travel to hospital were calculated by combining manual contouring and geospatial mapping.
RESULTS: There were 49 Bellwether-capable MoH hospitals serving a national population of 32.5 million. Overall 94% of Malaysia's population have access to the Bellwethers within two hours. This coverage is universal in West (Peninsular) Malaysia, but there is only 73% coverage in East Malaysia, with 1.8 million residents of Sabah and Sarawak not having timely access. Malaysia's Bellwether capacity compares well with other countries in World Health Organisation's Western Pacific region.
CONCLUSION: There is good access to essential and emergency surgical services in Malaysia. The incomplete access for 1.8 million people in East Malaysia will inform national surgical planning.