MATERIALS AND METHODS: A cross-sectional study was conducted among 500 pharmacists using a structured validated questionnaire between November 2020 and February 2021. The Mann-Whitney and Kruskal-Wallis tests were used to analyze the data.
RESULTS: A total of 456 pharmacists completed the questionnaire out of 500 distributed (91.2% response rate). Over 60% of participants responded with never or rarely for two out of five cardiovascular diseases (CVD) prevention practices. The lowest pharmacist-patient counseling practices were for side effects of statin medication (14.5%) and reviewing the patient's medications to avoid potential statin-drug interactions (31.8%). Participants had a high positive attitude (median = 34 out of 40). The three major barriers for risk assessment were the lack of support (74.8%), the lack of resources (70.6%), and inadequate training (48.7%). Interestingly, having ≤75 customers a day, community pharmacies, PharmD degree, age ≥30 years, and experience ≥6 years were significantly associated (p < .05) with higher CVD prevention activities and counseling practices.
CONCLUSION: Pharmacists have a high positive attitude toward CVD risk assessment. However, they had insufficient knowledge and only provided limited activities and counseling services for CVD prevention and statin therapy. Participants perceived several barriers to CVD risk assessment services in pharmacies. Therefore, it is necessary to remove these impediments for pharmacists to be more involved in CVD risk assessment and prevention. Also, continuing medical education and adequate training for pharmacists are required.
METHODS: AI-based chatbots (ie, ChatGPT-3.5, ChatGPT-4, Microsoft Bing AI, and Google Bard) were compared for their abilities to detect clinically relevant DDIs for 255 drug pairs. Descriptive statistics, such as specificity, sensitivity, accuracy, negative predictive value (NPV), and positive predictive value (PPV), were calculated for each tool.
RESULTS: When a subscription tool was used as a reference, the specificity ranged from a low of 0.372 (ChatGPT-3.5) to a high of 0.769 (Microsoft Bing AI). Also, Microsoft Bing AI had the highest performance with an accuracy score of 0.788, with ChatGPT-3.5 having the lowest accuracy rate of 0.469. There was an overall improvement in performance for all the programs when the reference tool switched to a free DDI source, but still, ChatGPT-3.5 had the lowest specificity (0.392) and accuracy (0.525), and Microsoft Bing AI demonstrated the highest specificity (0.892) and accuracy (0.890). When assessing the consistency of accuracy across two different drug classes, ChatGPT-3.5 and ChatGPT-4 showed the highest variability in accuracy. In addition, ChatGPT-3.5, ChatGPT-4, and Bard exhibited the highest fluctuations in specificity when analyzing two medications belonging to the same drug class.
CONCLUSION: Bing AI had the highest accuracy and specificity, outperforming Google's Bard, ChatGPT-3.5, and ChatGPT-4. The findings highlight the significant potential these AI tools hold in transforming patient care. While the current AI platforms evaluated are not without limitations, their ability to quickly analyze potentially significant interactions with good sensitivity suggests a promising step towards improved patient safety.
METHODS: This observational cross-sectional study was conducted over four months, from June/2021 to September/2021, in Sana'a, Yemen. A validated questionnaire was distributed face-to-face to 650 participants (350 physicians and 300 pharmacists). Physicians and pharmacists from governmental and private hospitals and those working in private clinics or community pharmacies were included in the study.
RESULTS: A total of 496 participants filled out the survey, with 22 being excluded due to incomplete data. So, the study has an overall response rate of 72.9% (474). The majority of pharmacists (81.8%) and physicians (78.7%) could not identify the patient group that needed ASCVD risk assessment before statin therapy initiation. Although a significant proportion of respondents knew of the fact that high-intensity statins are recommended for patients with ASCVD (65.4%) and primary hypercholesterolemia (58.4%), the majority of physicians and pharmacists could not identify the high (61.6% and 66.7.3%, respectively) and moderate statin-intensity doses (72.2% and 68.6%, respectively). Only 21.9% of all respondents knew that atorvastatin and rosuvastatin can be administered at any time of the day. Similarly, a low overall rate of respondents (19.6%) knew that atorvastatin does not need dose adjustment in chronic kidney diseases, with a statistically significant difference in knowledge between physicians and pharmacists (12.5% vs. 25.6%, p <0.001, respectively). Notably, only 39.2% of participants were aware that statins are not safe to use during breastfeeding. Around half of respondents (52.3%) correctly identify the duration (4 to 12 weeks) at which LD-C measuring is recommended after therapy initiation or dose change. The lowest knowledge scores for respondents were related to statin-drug interactions. Age, experience, degree, and previous guideline exposure were all significantly associated with the knowledge scores (p <0.05). The four most perceived barriers to implementing cholesterol management guidelines were no audit on adherence to the guidelines in the workplace (73.4%), insufficient resources to adequately implement and follow up on the guideline's recommendations (73.6%), patient's financial status (75.7%), and lack of familiarity about the guideline's latest recommendations (63.3%).
CONCLUSION: Physicians and pharmacists had suboptimal clinical knowledge regarding statin therapy, dose intensities, drug-drug interaction, contraindications, and monitoring parameters. Therefore, physicians' and pharmacists' educational interventions regarding the up-to-date recommendation about statins are recommended.
METHODS: 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.
RESULTS: 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
METHODS: A cross-sectional study was conducted between November 2020 and January 2021. A self-administered questionnaire was distributed to 350 physicians (GPs, residents, specialists, and consultants). Two trained pharmacists distributed the questionnaires in 5 major tertiary governmental hospitals and more than ten private hospitals. Also, private clinics were targeted so that we get a representative sample of physicians at different workplaces.
RESULTS: A total of 270 physicians filled the questionnaire out of 350 physicians approached, with 14 being excluded due to high missing data, giving a final response rate of 73%. Participants had suboptimal knowledge and practices with a high positive attitude toward atherosclerotic cardiovascular diseases risk assessment. The knowledge and practices were higher among consultants, participants from the cardiology department, those with experience years of more than nine years, and those who reported following a specific guideline for cholesterol management or using a risk calculator in their practice. Notably, the risk assessment and counseling practices were lower among physicians who reported seeing more patients per day.
CONCLUSION: Physicians had overall low knowledge, suboptimal practices, and a high positive attitude toward cardiovascular risk assessment. Therefore, physicians' training and continuing medical education regarding cholesterol management and primary prevention clinical practice guidelines are recommended. Also, the importance of adherence to clinical practice guidelines and their impact on clinical outcomes should be emphasized.
RESULTS: A total of 221 community pharmacists participated in the current study (response rate was not calculated since opt in recruitment strategies were used). Remarkably, nearly half of the pharmacists (n= 107, 48.4%) indicated a willingness to incorporate the ChatGPT into their pharmacy practice. Nearly half of the pharmacists (n=105, 47.5%) demonstrated a high perceived benefit score for ChatGPT, while around 37% of pharmacists (n= 81) expressed a high concern score about ChatGPT. More than 70% of pharmacists believed that ChatGPT lacked the ability to utilize human judgment and make complicated ethical judgements in its responses (n= 168). Finally, logistics regression analysis showed that pharmacists who had previous experience in using ChatGPT were more willing to integrate ChatGPT in their pharmacy practice than those with no previous experience in using ChatGPT (OR= 2.312, p= 0.035).
CONCLUSION: While pharmacists show a willingness to incorporate ChatGPT into their practice, especially those with prior experience, there are significant concerns. These mainly revolve around the tool's ability to make human-like judgments and ethical decisions. These findings are crucial for the future development and integration of AI tools in pharmacy practice.
METHOD: A paper-based cross-sectional survey was performed. A pilot-tested questionnaire consisting of 21 questions (demographics 5, knowledge 6, attitude 6, and preparedness 4) was administered to 900 healthcare students at different years of study. Descriptive and inferential analyses were used.
RESULTS: Out of the 900 students approached, 852 (94.7%) completed the questionnaire. The overall students' mean (SD) percentage knowledge score (PKS) was poor [46.7% (18.7)]. The mean (SD) attitude and preparedness scores for all students were 4.68 (1.32), and 1.9 (1.40), respectively, indicating overall positive attitudes, but low preparedness to apply PGx to clinical care. Pharm-D students' overall PKS was significantly higher than medical students (P
METHODS: A retrospective observational study was conducted, involving AIS cases admitted to a tertiary hospital in Jordan between 2015 and 2020. Lab data were collected upon admission, and the primary outcome was ICU admission during hospitalization. Descriptive and inferential analyses were performed using SPSS version 29.
RESULTS: In this study involving 364 AIS patients, a subset of 77 (21.2%) required admission to the ICU during their hospital stay, most frequently within the first week of admission. Univariable analysis revealed significantly higher NPAR levels in ICU-admitted ischemic stroke patients compared to those who were not admitted (23.3 vs. 15.7, p
METHODS: This pre- and post-intervention study was conducted in Sana'a, Yemen's capital city, at the University of Science and Technology Hospital. The study was done between 11/2021-12/2021, and two separate educational sessions were held. The McNemar's test and Wilcoxon signed-rank test were employed as necessary.
RESULTS: Participants' awareness of the Framingham CVD risk calculator improved significantly from 40.4% pre-intervention to 78.7% post-intervention. Similarly, understanding of the parameters used in the 10-year ASCVD Risk calculator rose from 46.8% pre-intervention to 76.6% post-intervention. The ability to identify high, moderate, and low-intensity statin therapy, for instance, increased from 34% to 63.8% post-intervention. Regarding statins' contraindications, safety, and efficacy monitoring parameters, pre-intervention knowledge was unsatisfactory, and the educational intervention improved it significantly (p <0.05). For physicians, the median ASCVD risk assessment knowledge score was significantly improved from 4 (IQR = 3-5) pre-intervention to 7 (6.25-8) immediately post-intervention, while the statin therapy clinical knowledge median score significantly improved from 3 (1.25-6.5) to 9 (7.25-14.75) post-education intervention, p-values were 0.002 and 0.003; respectively. For pharmacists, a similar significant improvement (p <0.05) in the overall knowledge scores for both ASCVD risk assessment and statin therapy was noted.
CONCLUSION: The educational intervention improved participants' knowledge of statin therapy and ASCVD risk assessment. Therefore, further education lectures and training programs through continuing medical education on the up-to-date guidelines' recommendations should be regularly implemented to raise awareness and improve the clinical knowledge and appropriateness of statins use in clinical settings..
METHODS: Healthcare workers (HCWs) from major healthcare facilities participated in this cross-sectional study. A self-administered questionnaire comprising of five main domains (demographics, knowledge, self-preparedness, counselling practice, perceived barriers) was distributed among HCWs after obtaining informed consent. A convenient sampling technique was used. Descriptive and inferential analyses were applied using SPSS software.
RESULTS: A total of 1000 participants were initially targeted to participate in the study with 514 (51.4%) responding, of which 55.3% were female. Physicians and nurses constituted the largest proportion of participants, with 39.5% and 33.3%, respectively. The median scores for knowledge, self-preparedness, and counselling practice were 8 (out of 9), 9 (out of 15), and 25 (out of 30), respectively. The physician group showed a statistically significant association with better knowledge compared to the nurse group only, P<0.001. Males had higher preparedness scores than females, p<0.001. Also, the intensive care unit (ICU) and emergency departments presented a statistically significant difference by which the participants from these departments were more prepared compared to the others (e.g. outpatients, paediatrics and surgery) with P < 0.0001. The lack of awareness among the general population about COVID-19 preventive measures was perceived as the most common barrier for the adequate prevention and control of COVID-19 in Yemen (89.1%).
CONCLUSION: The major highlight of this study is that HCWs have, overall, good knowledge, suboptimal preparedness, and adequate counselling practices prior to the outbreak of COVID-19 in Yemen, despite the high number of perceived barriers. However, urgent action and interventions are needed to improve the preparedness of HCWs to manage COVID-19. The perceived barriers also need to be fully addressed by the local healthcare authorities and international organisations working in Yemen for adequate prevention and control measures to be in place in managing COVID-19.
METHODS: A cross-sectional study was conducted in Amman, the capital and largest city of Jordan, using a validated questionnaire. It was distributed to pharmacists working in community and hospital pharmacies using a convenience sampling technique. Descriptive and inferential statistics were performed in this study.
RESULTS: A total of 340 questionnaires distributed, 300 (88%) pharmacists responded. Over 50% of pharmacists claimed that they have sufficient knowledge regarding FDI. Virtually, the overall median (interquartile range) knowledge score was 18 (15-21), approximately 60%. The highest knowledge scores were for alcohol-drug interactions section (66.6%) followed by both common food-drug interactions and the timing of drug intake to food consumption sections with a score of (58.3%) for each, reflecting a suboptimal knowledge of FDIs among the pharmacists.
CONCLUSION: Pharmacists had unsatisfactory knowledge about common FDIs, with no significant difference between hospital and community pharmacists. Therefore, more attention and efforts should be played to improve awareness about potential food-drug interactions.
METHODS: A cross-sectional study was conducted between April and May 2023 to assess PharmD students' perceptions, concerns, and experiences regarding the integration of ChatGPT into clinical pharmacy education. The study utilized a convenient sampling method through online platforms and involved a questionnaire with sections on demographics, perceived benefits, concerns, and experience with ChatGPT. Statistical analysis was performed using SPSS, including descriptive and inferential analyses.
RESULTS: The findings of the study involving 211 PharmD students revealed that the majority of participants were male (77.3%), and had prior experience with artificial intelligence (68.2%). Over two-thirds were aware of ChatGPT. Most students (n= 139, 65.9%) perceived potential benefits in using ChatGPT for various clinical tasks, with concerns including over-reliance, accuracy, and ethical considerations. Adoption of ChatGPT in clinical training varied, with some students not using it at all, while others utilized it for tasks like evaluating drug-drug interactions and developing care plans. Previous users tended to have higher perceived benefits and lower concerns, but the differences were not statistically significant.
CONCLUSION: Utilizing ChatGPT in clinical training offers opportunities, but students' lack of trust in it for clinical decisions highlights the need for collaborative human-ChatGPT decision-making. It should complement healthcare professionals' expertise and be used strategically to compensate for human limitations. Further research is essential to optimize ChatGPT's effective integration.
METHODS: A cross-sectional online survey was conducted in four major cities in Yemen. The constructed questionnaire consisted of four main sections (sociodemographic data, misinformation, perceptions (perceived susceptibility, severity, and worry), and vaccination acceptance evaluation). Subject recruitment and data collection were conducted online utilizing social websites and using the snowball sampling technique. Descriptive and inferential analyses were performed using SPSS version 27.
RESULTS: The total number of respondents was 484. Over 60% of them were males and had a university education. More than half had less than 100$ monthly income and were khat chewers, while only 18% were smokers. Misinformation prevalence ranged from 8.9% to 38.9%, depending on the statement being asked. Men, university education, higher income, employment, and living in urban areas were associated with a lower misinformation level (p <0.05). Statistically significant association (p <0.05) between university education, living in urban areas, and being employed with perceived susceptibility were observed. The acceptance rate was 61.2% for free vaccines, but it decreased to 43% if they had to purchase it. Females, respondents with lower monthly income, and those who believed that pharmaceutical companies made the virus for financial gains were more likely to reject the vaccination (p <0.05).
CONCLUSION: The study revealed that the acceptance rate to take a vaccine was suboptimal and significantly affected by gender, misinformation, cost, and income. Furthermore, being female, non-university educated, low-income, and living in rural areas were associated with higher susceptibility to misinformation about COVID-19. These findings show a clear link between misinformation susceptibility and willingness to vaccinate. Focused awareness campaigns to decrease misinformation and emphasize the vaccination's safety and efficacy might be fundamental before initiating any mass vaccination in Yemen.
METHODS: A cross-sectional survey was carried out in Yemen from December 2022 to March 2023 to investigate public perception and knowledge of mpox. Individuals were approached through social media platforms using a convenient sampling approach. Linear regression was used to determine the association between participants' knowledge (dependent variable) and explanatory variables.
RESULTS: A total of 853 individuals consented to take part in the study. A significant proportion of respondents had a low knowledge level (N=572, 67.06%). Most participants knew about the nature of the diseases (75%, n=641), transmission mode (78.1%, n=668), hand sanitizer preventive measures, and skin- related symptoms. However, only 20.8% (n= 178) knew that diarrhea is not a symptom, and 25.4% (n= 217) knew antibiotics are unnecessary for mpox management. A proportion of 57.7% (n=492) of the participants feared human mpox, and 47.7% (n= 407) thought it was a conspiracy. Most participants had a good perception of local and international health authorities controlling the disease. Age, education level, having a health-related certificate, and receiving a 2-dose vaccination for COVID-19 had statistically significant associations with mpox knowledge level (P < 0.05). Social media platforms were the most often used information source about mpox (78.3%, n= 668), followed by articles (41.1%, n=351).
CONCLUSION: The study reveals a low public knowledge about mpox in Yemen, emphasizing the need for targeted educational campaigns, especially via social media, to strengthen public health measures and disease control. Addressing Knowledge gaps and correcting misconceptions is crucial for improving preparedness and response to the disease.