Data on student experience of the clinical learning environment in Ghana are scarce. We therefore aimed to assess students' evaluation of the clinical learning environment and the factors that influence their learning experience. This was a cross-sectional survey of 225 undergraduate nursing and midwifery students. We used the Clinical Learning Environment and Supervision + Nurse Teacher (CLES +T) evaluation scale to assess students' experience of their clinical placement. The association between student demographic characteristics and clinical placement experience was determined using t-test or ANOVA. Most of the sampled students were Nurses (67%) and in the third year of training (81%). More students received supervision from a nurse (57%) during clinical placement and team supervision (67%) was the most common during clinical placement. Almonertinib mw Nursing students were more likely to rate their clinical experience better than midwifery students (p=0.002). Students who had increased contact with private supervisors were also more likely to rate their experience higher (p=0.002). Clinical experience was also rated higher by students who received successful supervision compared to those who had unsuccessful or team supervision (p=0.001). Team supervision is high in health facilities where students undertake clinical placement in Ghana. Frequent contact with private supervisor and successful supervision are associated with better rating of clinical experience among Ghanaian undergraduate nursing and midwifery students.Team supervision is high in health facilities where students undertake clinical placement in Ghana. Frequent contact with private supervisor and successful supervision are associated with better rating of clinical experience among Ghanaian undergraduate nursing and midwifery students. As health systems transition to value-based care, improving transitional care (TC) remains a priority. Hospitals implementing evidence-based TC models often adapt them to local contexts. However, limited research has evaluated which groups of TC strategies, or transitional care activities, commonly implemented by hospitals correspond with improved patient outcomes. In order to identify TC strategy groups for evaluation, we applied a data-driven approach informed by literature review and expert opinion. Based on a review of evidence-based TC models and the literature, focus groups with patients and family caregivers identifying what matters most to them during care transitions, and expert review, the Project ACHIEVE team identified 22 TC strategies to evaluate. Patient exposure to TC strategies was measured through a hospital survey (N = 42) and prospective survey of patients discharged from those hospitals (N = 8080). To define groups of TC strategies for evaluation, we performed a multistep process inclualed that TC strategies patients reported receiving were more important in predicting readmissions than TC strategies that hospitals reported delivering, and that other key co-variates, such as patient comorbidities, were the most important variables. Sophisticated statistical tools can help identify underlying patterns of hospitals' TC efforts. Using such tools, this study identified five groups of TC strategies that have potential to improve patient outcomes.Sophisticated statistical tools can help identify underlying patterns of hospitals' TC efforts. Using such tools, this study identified five groups of TC strategies that have potential to improve patient outcomes. Use of tobacco is a serious public health problem in Indonesia that requires a multidisciplinary approach by healthcare providers to address it. The study assessed the intentions of undergraduate students in dental schools to provide tobacco cessation counseling (TCC) and their association with the constructs of the theory of planned behavior (TPB). A cross sectional study was conducted in October 2019 using an electronic survey for dental students in Indonesian dental schools (n = 30). The survey assessed schools and students' characteristics and eleven statements assessed their perspectives toward TCC based on the TPB using a 5-point Likert scale. Principal component analysis (PCA) was used to identify components within the items of perspective. Multilevel linear regression analysis was used to assess the association between intention to provide TCC and the constructs of the TPB as identified in the perspectives' items using TPB controlling for confounders. About 1288 students participated from 30 dentudents' intention to provide TCC can be explained by the constructs of the TPB. Development of dental curricula promoting professional responsibility toward TCC should be given attention. Improving students' attitude and confidence potentially may support their patients' efforts to quit smoking. Distractor efficiency and the optimum number of functional distractors per item in One Best Answer Questions have been debated. The prevalence of non-functional distractors has led to a reduction in the number of distractors per item with the advantage of adding more items in the test. The existing literature eludes a definite answer to the question of what distractor efficiency best matches excellent psychometric indices. We examined the relationship between distractor efficiency and the psychometric indices of One Best Answer Questions in search of an answer. We analysed 350 items used in 7 professional examinations and determined their distractor efficiency and the number of functional distractors per item. The items were sorted into five groups - excellent, good, fair, remediable and discarded based on their discrimination index. We studied how the distractor efficiency and functional distractors per item correlated with these five groups. Correlation of distractor efficiency with psychometric indices was significant but far from perfect. The excellent group topped in distractor efficiency in 3 tests, the good group in one test, the remediable group equalled excellent group in one test, and the discarded group topped in 2 tests. The distractor efficiency did not correlate in a consistent pattern with the discrimination index. Fifty per cent or higher distractor efficiency, not hundred percent, was found to be the optimum.The distractor efficiency did not correlate in a consistent pattern with the discrimination index. Fifty per cent or higher distractor efficiency, not hundred percent, was found to be the optimum.