Around 65 million individuals suffer from epilepsy worldwide, and when it is not properly treated, it is linked to higher rates of physical harm and mortality. Due to the requirement for long‐term therapy and the side effects of many medications, medication compliance is a significant issue. The purpose of this review was to summarize the findings of previous studies examining the quality of life (QOL), adherence, patient education, and medication knowledge, as well as the impact of a pharmacist‐led educational intervention. Additionally, to find out if these studies benefit epileptic patients, to find the appropriate method used to help them in all aspects of their lives, and to use these in future studies. A systematic and comprehensive search was conducted using specific keywords from PubMed, Google Scholar, and Research Gate. A significantly poorer QOL was linked to prolonged antiepileptic drug use or poor adherence as well as psychiatric problems. Neglect was the most frequent reason for nonadherence. The frequency of seizures was greatly reduced, and the adherence was significantly increased by patient education and medication understanding. Patient awareness, adherence, QOL, and seizure frequency were dramatically improved following the intervention. In the absence of optimal treatment, epilepsy is associated with increased rates of bodily injuries and mortality. It is crucial to increase patient education and knowledge about disease and treatment in order to improve adherence, and QOL. Intervention by a chemist is required to achieve these results.
Objective: Since the vaccination rate is largely affected by low knowledge and negative attitudes ofhealthcare professionals, so this study aimed to weigh up the vaccination knowledge and attitudes ofpharmacy students.Method: A pilot study using a survey to investigate demographic data, knowledge (20 questions), andattitudes (5 questions) of 156 fifth year and 121 third year pharmacy students from College of Pharmacy/University of Baghdad.Results: The mean score of knowledge and attitudes was intermediate (16.654 and 14.917 out of 25 for thefifth and the third grades, respectively) with a significant difference between the two groups, the studentsshown to have favorable attitudes about vaccination. The score of the students is not i
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Biosimilars are non-innovative copy versions of biologic medicines which are proven to be clinically equivalent to, as effective and as safe as their reference biologics. Biosimilars creates opportunities for cost savings for payers, governments, and patients compared with the reference products. Pharmacist plays an essential role in developing biosimilar medicines from manufacturing to post-marketing pharmacovigilance monitoring. The aim of the current study was to explore the level of knowledge, behaviors and practices of a sample of Iraqi pharmacists towards biosimilar medicines. The current study was a cross sectional, carried out during May 2020. A total of 2
... Show MoreThe intervention in the military institute represents a great role in the Nigerian
political life since 1960. There are many reasons behind this domination. The First is that
many African militants participated in liberating their countries from colonization. The
second is that they tried to stay in power as long as they could stay through the rule of one
party.
There fore, they depend on the process of political and economic reform to get rid of
military rule that dominated the Nigerian Political life to be a civilian state
Background: It is important to achieve good glycemic control to avoid long-term diabetic complications. It has been largely debated about the role of correct way of insulin administration to get the desired glycemic control.
Objective: To evaluate the effect of teaching diabetic patients who are on insulin therapy the correct way of injecting insulin and its effect on glycemic control.
Methods: A non randomized clinical trial with 820 diabetic patients on insulin therapy on whom A1 c estimation was performed before and after three months of teaching them the right injection technique.
Results : Sixty seven patients (8.17%) had A1 c 6.5% before they were enrolled in the study while the majority (753 patents, 91.82%) had A1 c 6.5%
Background: It is important to achieve good glycemic control to avoid long-term diabetic complications. It has been largely debated about the role of correct way of insulin administration to get the desired glycemic control.
Objective: To evaluate the effect of teaching diabetic patients who are on insulin therapy the correct way of injecting insulin and its effect on glycemic control.
Methods: A non randomized clinical trial with 820 diabetic patients on insulin therapy on whom A1 c estimation was performed before and after three months of teaching them the right injection technique.
Results : Sixty seven patients (8.17%) had A1 c 6.5% before they were enrolled in the study while the majority (753 patents, 91.82%) had A1 c 6.5%
One of the most common public liver diseases over the world is fatty liver which contain alcoholic and non-alcoholic fatty liver. One-fourth among general population are impact Non-Alcoholic Fatty Liver Disease (NAFLD) in the worldwide.Retinol binding protein 4 (RBP4) is known as an adipokine, mainly synthesized and secreted from the liver and form adipose tissues. RBP4 acts as a transporter and specifically bound to retinol from liver to others tissues. Visfatin is an adipocytokine and mainly produced from visceral fat tissue, skeletal muscles as well as liver. Vitamin A absorbed, transported as retinyl esters to the liver then hydrolyzed to the retinol form and storage in hepatic stellate cells (HSCs) after reesterified with rigly
... Show MoreThe field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field. In recent years, the processing of Arabian image databases by deep learning architectures has experienced a remarkable development. However, this remains insufficient to satisfy the enormous wealth of Arabic manuscripts. In this research, a deep learning architecture is used to address the issue of classifying Arabic letters written by hand. The method based on a convolutional neural network (CNN) architecture as a self-extractor and classifier. Considering the nature of the dataset images (binary images), the contours of the alphabet
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