Integration of a Virtual Dispensing Simulator "MyDispense" in an Experiential Education Program to Prepare Students for Community Introductory Pharmacy Practice Experience.

BACKGROUND: Technology is increasingly used to enhance pharmacy education. We sought to evaluate student learning and preparedness for community introductory pharmacy practice experiences (IPPEs) after implementation of "MyDispense" into experiential education. METHODS: Both first-year pharmacy students and assigned community IPPE preceptors were eligible. Students were stratified based on previous community pharmacy experience (< or ≥ 50 h), then randomized to complete MyDispense exercises before IPPE (group A) or after 24-32 h of IPPE (group B). We evaluated preceptors' assessment of student readiness using a 6-item Likert scale survey and students' readiness and opinion of MyDispense using an anonymous 9-item survey. Descriptive statistics were used to characterize data. The Mann-Whitney U test was used to compare groups and a p-value < 0.05 was considered statistically significant. RESULTS: Of 177 eligible students, 155 were randomized and 56 completed study. Group A included 32 students; 56.3% had prior community practice experience. Group B included 24 students; 50% had prior community practice experience. Forty-eight preceptors were enrolled. Students who completed exercises before rotation received higher preceptor scores for patient counseling of self-care and of medications (p < 0.05 for both). Students self-assessed their counseling skills lower than all other skills; 30.4% and 42.9% of students felt mostly or always prepared to counsel for self-care and medications, respectively. Students found MyDispense straightforward, realistic, and appreciated the ability to practice in a safe, electronic, community pharmacy, patient-care environment. CONCLUSION: Simulation-based software, such as MyDispense, can enhance learner understanding of the prescription fill and counseling process in a community pharmacy practice setting.

CX3CR1 deficiency impairs dendritic cell accumulation in arterial intima and reduces atherosclerotic burden.

OBJECTIVE: Dendritic cells (DCs) have recently been found in atherosclerosis-predisposed regions of arteries and have been proposed to be causal in atherosclerosis. The chemokine receptor CX3CR1 is associated with arterial injury and atherosclerosis. We sought to determine whether a link exists between arterial DC accumulation, CX3CR1, and atherosclerosis. METHODS AND RESULTS: Mouse aortas were isolated and subjected to en face immunofluorescence analysis. We found that DCs were located predominantly in the intimal regions of arterial branch points and curvatures. Consistent with the increased accumulation of intimal DCs in aged and ApoE-/- aortas compared with young WT aortas (P=0.004 and 0.05, respectively), the incidence of atherosclerosis was 88.9% for aged WT and 100% for ApoE-/- mice compared with 0% for young WT mice. CX3CR1 was expressed on intimal DCs and DC numbers were decreased in CX3CR1-deficient aortas of young, aged, and ApoE-/- mice (P=0.0008, 0.013, and 0.0099). The reduced DC accumulation in CX3CR1-deficiency was also correlated with decreased atherosclerosis in these animals. CONCLUSIONS: The accumulation of intimal DC increases in aged and ApoE-/- aortas and correlates with the generation of atherosclerosis. CX3CR1-deficiency impairs the accumulation of DC in the aortic wall and markedly reduces the atherosclerotic burden.

Reliability and construct validity of the Automated Neuropsychological Assessment Metrics (ANAM) mood scale.

The reliability and construct validity of the Automated Neuropsychological Assessment Metrics (ANAM) mood scale (AMS) were examined using concurrent, well-validated measures of mood and confirmatory factor analysis (CFA) with a sample of 210 volunteer college students. The AMS was given in computerized format with multiple adjectives using a visual analog Likert scale yielding seven dimensions of mood including vigor, restlessness, depression, anger, fatigue, anxiety, and happiness. All seven mood dimensions of the AMS demonstrated excellent test-retest reliability and internal consistency. Also, the AMS anxiety dimension correlated strongly with the Spielberger's State Anxiety Inventory (r=0.67) and the AMS depression dimension correlated strongly with the Beck Depression Inventory-II (r=0.71). CFA revealed that the AMS 7-factor mood model fit the data well and significantly better than an alternative, theoretically plausible model. When concurrent measures of mood were incorporated in the CFA model, the AMS demonstrated both convergent and discriminant validity. The AMS 7-factor model explained 55.12% of the total variance in the items. It was concluded that the AMS provides a brief yet reasonably complete and valid assessment of mood.