In the current outbreak of novel coronavirus (COVID-19), healthcare professionals (HCPs) have a primary role in combating the epidemic threat. HCPs are at high risk of not only contracting the infection but also spreading it unknowingly. It is of utmost importance to evaluate their knowledge, attitudes, and practices (KAP) and the ability to assess the risks associated with the outbreak. A cross-sectional online survey involving physicians, pharmacists, and nurses was conducted. A 39-itemed questionnaire based on the World Health Organization (WHO)COVID-19 risk assessment tool was shared with healthcare professionals in three purposively selected key divisions of Punjab province. Out of 500 healthcare professionals, 385 responded to the survey. The majority (70%) were aged 22–29 years; 144 (37.4%) physicians, 113 (29.4%) nurses, and 128 (33.2%) pharmacists completed the survey. Overall, 94.8% of healthcare professionals scored adequately (>14) for COVID-19-related knowledge; 97.9% displayed an optimistic attitude (>42) and 94.5% had an adequate practice score (>28). Kruskal–Wallis and Jonckheere–Terpstra tests showed significant differences (p < 0.05) in KAP and risk assessment scores among groups; physicians and nurses scored higher as compared to pharmacists. Further research and follow-up investigations on disaster management and risk assessment can help policy-makers better tackle future epidemics.
The aim of this work was to develop, optimize and characterize a silymarin-laden polyvinylpyrrolidone (PVP)-polyethylene glycol (PEG) polymeric composite to resolve low aqueous solubility and dissolution rate problem of the drug. A number of silymarin-laden polymeric formulations were fabricated with different quantities of PVP K-30 and PEG 6000 by the solvent-evaporation method. The effect of PVP K-30 and PEG 6000 on the aqueous solubility and dissolution rate was investigated. The optimized formulation and its constituents were characterized using powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) techniques. Both the PEG 6000 and PVP K-30 positively affected the aqueous solubility and dissolution rate of the drug. In particular, a formulation consisting of silymarin, PVP K-30 and PEG 6000 (0.25/1.5/1.5, w/w/w) furnished the highest solubility (24.39±2.95 mg/mL) and an excellent dissolution profile (~100% in 40 min). The solubility enhancement with this formulation was ~1150-fold as compared to plain silymarin powder. Moreover, all the constituents existed in the amorphous state in this silymarin-laden PVP-PEG polymeric composite. Accordingly, this formulation might be a promising tool to administer silymarin with an enhanced effect via the oral route.
Antibiotic resistance (ABR) is a significant issue for public health globally. An adequate understanding of ABR and the approaches used to tackle ABR, including antibiotic stewardship programs, are vital. This study aimed to get an insight into antibiotic use, ABR, and antibiotic stewardship programs among pharmacy students of Punjab, Pakistan. This multicenter study was undertaken among final (fifth) year undergraduate pharmacy students of 7 universities of Punjab, Pakistan. A paper-based self-administered questionnaire comprising 48-items was utilized for data collection. Descriptive and inferential statistics were employed for data analysis. This study included a total of 296 respondents with a response rate of 85.8%. Most of the students had an average understanding of antibiotic use (59.8%), ABR (42.6%), ABR mechanisms (48.0%), and factors of ABR (51.7%). Only 21.6% of students have heard about antibiotic stewardship programs. More than half of the students believed that educating and training healthcare professionals (53.4%) and medical students (57.8%) about the prescribing and judicial usage of antibiotics could reduce the ABR burden. The awareness of most of the pharmacy students about certain aspects of antibiotic use, ABR, and stewardship programs was suboptimal.
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