BackgroundThe economic burden of asthma, which relates to the degree of control, is €5 billion annually in Italy. Pharmacists could help improve asthma control, reducing this burden. This study aimed to evaluate the effectiveness and cost-effectiveness of Medicines Use Reviews provided by community pharmacists in asthma.MethodsThis cluster randomised, multi-centre, controlled trial in adult patients with asthma was conducted in 15 of the 20 regions of Italy between September 2014 and July 2015. After stratification by region, community pharmacists were randomly allocated to group A (trained in and delivered the intervention at baseline) or B (training and delivery 3 months later), using computerised random number generation in blocks of 10. Each recruited up to five patients, with both groups followed for 9 months.The intervention consisted of a systematic, structured face-to-face consultation with a pharmacist, covering asthma symptoms, medicines used, attitude towards medicines and adherence, recording pharmacist-identified pharmaceutical care issues (PCIs). The primary outcome was asthma control, assessed using the Asthma-Control-Test (ACT) score (ACT ≥ 20 represents good control). Secondary outcomes were: number of active ingredients, adherence, cost-effectiveness compared with usual care. Although blinding was not possible for either pharmacists or patients, assessment of outcomes was conducted by researchers blind to group allocation.ResultsNumbers of pharmacists and patients enrolled were 283 (A = 136; B = 147) and 1263 (A = 600; B = 663), numbers completing were 201 (A = 97; B = 104) and 816 (A = 400; B = 416), respectively. Patients were similar in age and gender and 56.13% (458/816) had poor/partial asthma control. Pharmacists identified 1256 PCIs (mean 1.54/patient), mostly need for education, monitoring and potentially ineffective therapy. Median ACT score at baseline differed between groups (A = 19, B = 18; p < 0.01). Odds ratio for improved asthma control was 1.76 (95% CI 1.33–2.33) and number needed to treat 10 (95% CI 6–28). Number of active ingredients reduced by 7.9% post-intervention (p < 0.01). Adherence improved by 35.4% 3 months post-intervention and 40.0% at 6 months (p < 0.01). The probability of the intervention being more cost-effective than usual care was 100% at 9 months.ConclusionsThis community pharmacist-based intervention demonstrated both effectiveness and cost-effectiveness. It has since been implemented as the first community pharmacy cognitive service in Italy.Trial registrationTRN: ISRCTN72438848 (registered 5th January 2015, retrospectively).

Purpose: This study aimed to evaluate students’ perception of team-based learning (TBL) amongst a cohort exposed to this methodology for the first time at a university in the United Kingdom.Methods: Between November and December 2018, 26 first-year Master of Pharmacy and 90 second-year Biomedical Science students of the School of Life Sciences, University of Sussex, United Kingdom were invited to participate and requested to complete a questionnaire that contained quantitative and qualitative questions. The quantitative component was based on the Team-Based Learning Student Assessment Instrument (TBL-SAI). It additionally contained questions about key student characteristics.Results: The response rate was 60% (70 of 116); of the participants, 74% (n=52) were females and 26% (n=18) males. The percentage of agreement in the TBL-SAI suggested a favourable response to TBL. The overall mean score for the TBL-SAI was 115.6 (standard deviation, 5.6; maximum score, 140), which was above the threshold of 102, thus suggesting a preference for TBL. Statistically significant differences were not found according to demographic characteristics. Students who predicted a final grade of ≥70% strongly agreed that TBL helped improve their grades. Some students highlighted issues with working in teams, and only 56% of students agreed that they could learn better in a team setting.Conclusion: This study shows that students exposed to TBL for the first time favoured several aspects of TBL. However, more focused strategies including team-building activities and expert facilitation skills could potentially tackle resistance to working in teams.

BackgroundThe Italian Ministry of Health decided to introduce community professional services in 2010. This trial provides an opportunity to evaluate the outcomes of a new professional pharmacy service: Italian Medicines Use Review (I-MUR) aimed at reducing the severity of asthma and its associated costs.Methods/DesignThis is a cluster randomised controlled trial of the I-MUR service. Data will be collected over time before, during and after pharmacists’ intervention. Fifteen Italian regions will be involved and it is aimed to recruit 360 community pharmacists and 1800 patients. Each pharmacist will receive training in medicines use review, recruit five patients, administer the Asthma Control Test and provide the I-MUR service. Pharmacists will be allocated to different groups, one group will be trained in and provide the I-MUR service immediately after completion of the baseline ACT score, the other group will receive training in the I-MUR and provide this service three months later. Group allocation will be random, after stratification by region of Italy. The I-MUR service will involve gathering data following each patient consultation including demographic details, patients regular medications, including those used for asthma, their attitude towards their medications and self-reported adherence to treatments. In addition, pharmacists will identify and record pharmaceutical care issues and any advice given to patients during the I-MUR, or recommendations given to doctors. Pharmacists will upload trial data onto a web platform for analysis. The primary outcome measure is the severity of asthma before, during and after the I-MUR assessed using the Asthma Control Test score. Secondary measures: number of all active ingredients used by patients during and after the I-MUR, number of pharmaceutical care issues identified during the I-MUR, patients’ self-reported adherence to asthma medication during and after the I-MUR, healthcare costs based on the severity of asthma, before, during and after the I-MUR service provision.DiscussionThis study has been developed because of the need for a new way of working for pharmacists and pharmacies; it is the first trial of any community pharmacy-based pharmaceutical care intervention in Italy. The results will inform future policy and practice in Italian community pharmacy.Trial registration numberISRCTN72438848.

PurposeStudents’ satisfaction is an essential element in higher education. This study aimed to identify paths and predictive power of students’ satisfaction during team-based learning (TBL) activities in the faculty of life sciences using partial least squares structural equation modelling (PLS-SEM).MethodsIn 2018–2019, at the University of Sussex (Falmer, UK), 180 life science students exposed to TBL were invited to participate in the study. Team-Based-Learning-Student-Assessment-Instrument was used. A conceptual model was developed for testing six hypotheses. H1: What was the effect of TBL on student satisfaction? H2: What was the effect of lectures on student satisfaction? H3: What was the effect of TBL on accountability? H4: What was the effect of lectures on accountability? H5: What was the effect of accountability on student satisfaction? H6: What were the in-sample and out-of-sample predictive power of the model? The analysis was conducted using the PLS-SEM approach.ResultsNinety-nine students participated in the study giving a 55% response rate. Confirmatory tetrad analysis suggested a reflective model. Construct reliability, validity, average extracted variance, and discriminant validity were confirmed. All path coefficients were positive, and 5 were statistically significant (H1: β=0.587, P<0:001; H2: β=0.262, P<0.001; H3: β=0.532, P<0.001; H4: β=0.063, P=0.546; H5: β=0.200, P=0.002). The in-sample predictive power was weak for Accountability, (R2=0.303; 95% confidence interval [CI], 0.117–0.428; P<0.001) and substantial for student satisfaction (R2=0.678; 95% CI, 0.498–0.777; P<0.001). The out-of-sample predictive power was moderate.ConclusionThe results have demonstrated the possibility of developing and testing a TBL conceptual model using PLS-SEM for the evaluation of path coefficients and predictive power relative to students’ satisfaction.