Objective: The study is to evaluate Yemeni medical and pharmacy students’ knowledge and attitude regarding generic medicines. Method: A cross-sectional survey was used to collect data from final-year medical and pharmacy students at six public and private universities in Yemen. The questionnaire was distributed among the students through their course coordinators. Students were clearly informed about the objective of the study and their written consents were taken before the survey. The responses were entered in SPSS, and descriptive and inferential analyses were carried out. Results: The response rate was 60.1%. Overall the half of participants’ perception regarding generic medicine was positive. Perceptions of pharmacy students’ regarding generic medicines were better than those of the medical students. Conclusion: The present study concluded that both studied groups had insufficient knowledge about quality, safety and bioequivalence of generic medicines. The medical students showed poorer knowledge than pharmacy students which need to give more attention from educators regarding the use of generic medicines. Key words: Generic drugs, Medical students, Perception, Pharmacy students, Yemen.

Background: Lack of adherence to anti-diabetic medications use is linked with suboptimal glycemic control which in turn leads to increase rate of diabetic complications. The adherence to anti-diabetic medications among adult diabetic patients in Sana'a city has not been yet evaluated. Objective: This study, therefore, assessed the extent to which diabetic patients are adherent to their antidiabetic medications and explored the factors underlying such adherence attitude in Sana’a City, Yemen. Methods: A cross-sectional method was conducted among a sample of 365 diabetic patients attending public and private hospitals from March to April 2017 in Sana'a City-Yemen. Random patients were selected and data regarding their treatment adherence were obtained using a questionnaire. Adherence to diabetes medications was measured using medication adherence index followed by structured interviews. Descriptive analysis was used to compare between different groups of diabetic patients. Bivariate analyses were conducted to evaluate the associations between clinical variables. Results: The cross-sectional study included 365 patients (263 males; 102 females). A high level of medication adherence rate to anti-diabetic drugs in the present study was (70%). The adherence rate was not similar in both genders where males were more adherent than females. The most common reason for non-adherence was forgetfulness (n= 67; 61%). While the lowest factor for non-adherence was associated with ineffective (n= 7; 6%). Adherence was strongly associated with diabetes duration, monthly income, blood sugar monitoring, communication with physician, and patient’s knowledge regarding importance of medication use (p <0.05). Conclusions: The degree of adherence in patients with diabetes in Sana’a to anti-diabetic medication was shown to be mostly suboptimal. The medication adherence levels are still crucial strategy for optimal treatment against diabetes. However, additional studies on strategies to improve adherence rate and health care should be carried out in the future.

The purpose of this study is to find out how much pharmacists know and have used ChatGPT in their practice. We investigated the advantages and disadvantages of utilizing ChatGPT in a pharmacy context, the amount of training necessary to use it proficiently, and the influence on patient care using a survey. This cross-sectional study was carried out between May and June 2023 to assess the potential and problems that pharmacists observed while integrating chatbots powered by AI (ChatGPT) in pharmacy practice. The correlation between perceived benefits and concerns was evaluated using Spearman's rho correlation due to the data's non-normal distribution.Any pharmacists licensed by the Jordanian Pharmacists Association were included in the study. A convenient sampling technique was used to choose the participants, and the study questionnaire was distributed utilizing an online medium (Facebook and WhatsApp). Anyone who expressed interest in taking part was given a link to the study's instructions so they may read them before giving their electronic consent and accessing the survey. The potential advantages of ChatGPT in the pharmacy practice were widely acknowledged by the participants. The majority of participants (69.9%) concurred that educational material about pharmacy items or therapeutic areas can be provided using ChatGPT, with 66.9% of respondents believing that ChatGPT is a machine learning algorithm. Concerns about the accuracy of AI-generated responses were also prevalent. More than half of the participants (55.7%) raised the possibility that AI systems such as ChatGPT could pick up on and replicate prejudices and discriminatory patterns from the data they were trained on. Analysis shows a statistically significant positive link, albeit a minor one, between the perceived advantages of ChatGPT and its drawbacks (r = 0.255, p < 0.001). However, concerns were strongly correlated with knowledge of ChatGPT. In contrast to those who were either unsure or had not heard of ChatGPT (64.2%), individuals who had heard of it were more likely to have strong concerns (79.8%) (p = 0.002). Finally, the results show a statistically significant association between the frequency of ChatGPT use and positive perceptions of the tool (p < 0.001). Although ChatGPT has shown promise in health and pharmaceutical practice, its application should be rigorously regulated by evidence-based law. According to the study's findings, pharmacists support the use of ChatGPT in pharmacy practice but have concerns about its use due to ethical reasons, legal problems, privacy concerns, worries about the accuracy of the data generated, data learning, and bias risk.

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