Background: Usage of traditional-herbal medicines (THM) for various illnesses has been increased around the world, so does the adulteration of these products with hazardous compounds. There are limited Malaysian data that have been published on the characteristics trend and adverse events associated with adulterated THM products. Aim: This study described characteristics of adulterated THM products in Malaysia and aimed to quantify THM products’ safety signals of adverse reactions (ARs). Methods: THM products that were seized by Pharmacy Enforcement Division between 2008 and 2014 were extracted and analysed for 59,440 THM products. Of these, only 6452 THM products with complete information were included in the final analyses. Safety signalling tools were used to measure AR signals from AR reports obtained from the National Pharmaceutical Regulatory Agency Adverse Drug Reaction Database. Results: More than half of adulterated THM products originated from countries outside of Malaysia, with the majority were from Indonesia. The most common claimed indication of adulterated THM products was for pain and fever relief, while steroids were the most common adulterant. AR signals were generated for cough and cold products for respiratory and thoracic disorders, weight-loss products for cardiac disorders, and women’s health products for reproductive and breast disorders. Conclusion: Health authorities from various fields can work collaboratively by implementing strategic actions that include the use of safety signalling tools to curb the increasing number of adulterated THM products in the Malaysian market.

Personalised learning approaches have gained increasing attention in higher education, particularly in health sciences, due to their potential to enhance student engagement and learning outcomes. However, the implementation and effectiveness of personalised learning strategies in health professions higher education remain unclear. This scoping review aims to map the existing literature on personalised learning in health sciences higher education, identifying key concepts, gaps in knowledge, and areas for future research. We conducted a comprehensive search of five electronic databases: PubMed, Scopus, Google Scholar, Educational Research Complete, and JSTOR. The search strategy employed various combinations of keywords related to personalised learning and health sciences higher education. Studies published in English between 2000 and 2024 were included. Two independent reviewers screened titles, abstracts, and full texts. Data were extracted using a data extraction form. The review followed the methodological framework outlined by Arksey and O’Malley and adhered to the PRISMA-ScR guidelines. The initial search yielded 1,247 records, with another 15 identified through other sources. After removing duplicates, 583 records were screened, resulting in 42 full-text articles assessed for eligibility. Ultimately, 11 studies met the inclusion criteria and were included in the qualitative synthesis. The review identified various personalised learning approaches implemented across different health science disciplines, including medicine, nursing, pharmacy, and dentistry. Key themes emerged around adaptive learning technologies, individualised feedback mechanisms, and student-centred curriculum design. Challenges in the implementation and assessment of personalised learning strategies were also highlighted. This scoping review provides a comprehensive overview of personalised learning approaches in health sciences higher education. While the findings suggest potential benefits of personalised learning, they also reveal a need for more rigorous research to evaluate its effectiveness and long-term impact on student outcomes. Future studies should focus on standardising assessment methods, exploring the role of technology in facilitating personalised learning, and investigating the scalability of these approaches across different health science disciplines. https://osf.io/nu4yj/ .

Background: Personalised learning, an educational approach that tailors teaching and learning to individual needs and preferences, has gained attention in recent years, particularly in higher education. Advances in educational technology have facilitated the implementation of personalised learning in various contexts. Despite its potential benefits, the literature on personalised learning in health sciences higher education remains scattered and heterogeneous. This scoping review aims to identify and map the current literature on personalised learning in health sciences higher education and its definition, implementation strategies, benefits, and limitations. Methods: A comprehensive search of electronic databases, PubMed, Scopus, Google Scholar, Educational Research Complete, and Journal Storage (JSTOR), will be conducted to identify relevant articles. The search will be limited to articles published in the English language between 2000 and 2023. The search strategy will be designed and adapted for each database using a combination of keywords and subject headings related to personalised learning and health sciences higher education. Eligibility criteria will be applied to screen and select articles. Data extraction and quality assessment will be performed, and thematic synthesis will be used to analyse the extracted data. Discussion: The results of the scoping review will present a comprehensive and coherent overview of the literature on personalised learning in health sciences higher education. Key themes and topics related to personalised learning, its definitions, models, implementation strategies, benefits, and limitations, will be identified. The geographical and temporal distribution of research on personalised learning in health sciences higher education will also be described. This scoping review will provide a structured synthesis of the available evidence on personalised learning in health sciences higher education, highlighting potential gaps and areas for future research. The findings will contribute to ongoing scholarly and policy debates on personalised learning in higher education, informing the development of best practices, guidelines, and future research agendas.

Background Fragmented healthcare systems hinder pharmacists’ access to comprehensive patient data, limiting their clinical role and posing health risks. Enhancing system interoperability and evaluating factors influencing pharmacists' readiness for technology-driven practice change is a crucial step. Aim This systematic review aimed to investigate the digital determinants of pharmacists’ readiness for technology-oriented practice change and interoperability. Method A systematic search of PubMed, Scopus, and Cochrane Library was conducted on August 7, 2023, with registration number INPLASY202380071. Search method was developed, and quality was assessed using the Boynton and Greenhalgh Quality Checklist (BGQC) and Critical Appraisal Skills Programme (CASP). Results The review included 13 studies, of which 7 (53.8%) included the study’s setting. Of the seven studies, most discussed the community pharmacy setting (n = 3, 23.1%), followed by hospital pharmacy (n = 1, 7.6%), and both settings (n = 3, 23.1%). The studies included several countries: the United Kingdom (UK), Canada, the United States of America (USA), Australia, India, Sweden, and Saudi Arabia. The studies discussed several medical health informatic technologies such as electronic health records and e-prescribing. The three most reported technology-related influencing factors were related to digital literacy and technology-oriented tailored training (n = 9, 69.2%), followed by technical system features (n = 6, 46.2%) and technology operations (n = 5, 38.5%). The overall readiness level for technology-related practice change was intermediate (n = 7, 53.8%), high (n = 3, 23.1%), and low (n = 3, 23.1%). Conclusion Digital literacy, tailored training, and system features are crucial for enhancing pharmacists’ readiness for technology adoption, highlighting the need for improved digital infrastructure and interoperability in clinical practice.

Digital solutions can help monitor medication safety in children who are often excluded in clinical trials. The lack of reliable safety data often leads to either under- or over-dose of medications during clinical management which make them either not responding well to treatment or susceptible to adverse drug reactions (ADRs). This study investigated ADR signalling techniques to detect serious ADRs in Malaysian children aged from birth to 12 years old using an electronic ADRs’ database. Four techniques (Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN) and Multi-item Gamma Poisson Shrinker (MGPS)) were tested on ADR reports submitted to the National Pharmaceutical Regulatory Agency between 2016 and 2020. Sensitivity, Specificity, Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of the techniques were compared. A total of 31 medicine-Important Medical Event pairs were found and examined among the 3152 paediatric ADR reports. Three techniques (PRR, ROR, MGPS) signalled oculogyric crisis and dystonia for metoclopramide. BCPNN and MGPS signalled angioedema for paracetamol, amoxicillin and ibuprofen. Similar performances were found for PRR, ROR and BCPNN (sensitivity of 12%, specificity of 100%, PPV of 100% and NPV of 21%). MGPS revealed the highest sensitivity (20%) and NPV (23%), as well as similar specificity and PPV (100%). This study suggests that medication safety signalling techniques could be applied on electronic health records to monitor medication safety issues in children. Clinicians and medication safety specialist could prioritise the signals for further clinical consideration and prompt response.

The global depression burden has remained a challenge throughout the pre- and post-pandemic era. The pandemic effect has led to the spiraling of mental disorders among young people who will be the next generation of leaders. This study aims to identify university students’ sociodemographic, psychosocial and academic backgrounds and performance associated with depression symptoms for the development of primary and secondary preventive strategies for mental health. A cross-sectional study was conducted using an online questionnaire distributed to 19 institutions in Malaysia offering a Bachelor of Pharmacy degree program. The self-rated Depression Anxiety Stress Scale (DASS-42) was used to assess depression symptoms. Pearson’s chi-square test and Fisher’s exact test were used to assess the investigated variables with depression symptoms. Independent T-test and one-way ANOVA were used to compare means of depression score across variables. Binary logistic regression was employed to examine the relationship between the investigated variables and depression symptoms. A total of 610 pharmacy students participated, of which 47% (n = 289/610) were having depression symptoms. Students who smoke nicotine and those who have separated parents, family history of mental illness, and poor academic performance were associated with depression symptoms (p < 0.05). Differences in geographical areas, race and religion also showed significant associations with depression symptoms. Parental marital status, poor academic performance, history of mental illness and comorbidities were statistically predicting depression symptoms (p < 0.05). Primary preventive strategies allowing students to harness healthy coping skills for stress, nicotine-free campaigns and a holistic curriculum are warranted. Secondary measures on mindfulness and compassion skills activities to benefit students who experienced early life crises are highly recommended. Enforcing these targeted strategies in collaboration with health and social sectors should be the primary agenda of universities to ensure their uptake.