Assessing Confidence and Competence of Student Pharmacists in a Virtual Medication Adherence Training Program.

OBJECTIVE: To assess the impact of a virtual medication adherence training (VMAT) program on students' perceived confidence and perceived competency in delivering medication adherence services via telehealth. METHODS: This pilot pre-/post-observational study consisted of 2 subsequent sections: (1) 4 asynchronous self-study modules via Canvas (Instructure, Inc.) learning management system, and (2) 2 live application-based sessions involving virtual and telephonic standardized patients. A pre-/post-survey was given to first-, second-, and third-year Doctor of Pharmacy students to assess perceived confidence and perceived competence. Participants completed a 5-question multiple-choice quiz before and after each module to assess knowledge. RESULTS: Students' overall perceived confidence and perceived competency significantly increased upon completing VMAT. Knowledge in each module assessment also significantly improved. During the assessment of performance throughout the live sessions, most participants lost points when resolving issues within the interaction, addressing the need for patient follow-up, and assessing patient knowledge of medication adherence. CONCLUSION: This novel VMAT suggests that this or similar programs would be beneficial to improve pharmacy students' perceived confidence, perceived competence, and knowledge in delivering virtual medication adherence services in the telehealth setting. The incorporation of such training within the didactic curriculum of doctoral pharmacy programs should be considered to improve patient care skills for future medication experts.

Impact of pharmacy-supported interventions on proportion of patients receiving non-indicated acid suppressive therapy upon discharge: A systematic review and meta-analysis.

OBJECTIVE: Conduct a systematic review and meta-analysis to estimate the impact of pharmacy-supported interventions on the proportion of patients discharged from the hospital on inappropriate acid suppressive therapy (AST). METHODS: To identify studies, the following databases were systematically searched on October 14th, 2018 and repeated on September 12th, 2019: Ovid MEDLINE(R) and In-Process & Other Non-Indexed Citations and Daily, Embase.com, CINAHL, Web of Science, Cochrane CENTRAL (EBSCO), and ClinicalTrials.gov. Eligible studies consisted of adults, intervention and historical/usual care groups, description of active pharmacy-supported intervention, and proportion of patients discharged on inappropriate AST. Qualitative assessments and quantitative analyses were performed. Modified funnel plot analysis assessed heterogeneity. Preferred reporting items of systematic reviews and meta-analyses (PRISMA) methodology was used to evaluate studies in this review. RESULTS: Seventeen publications resulting in 16 studies were included in the review. Using random effects model, meta-analysis showed a significant reduction in the odds of being discharged on inappropriate AST from the hospital in the pharmacist-supported intervention arm versus comparator (Odds Ratio 0.33 [95%CI 0.20 to 0.53]), with significant heterogeneity (I2 = 86%). Eleven studies favored pharmacy-supported interventions, four were inconclusive and one favored usual care. Using modified funnel plot analysis, our final evaluation was distilled to 11 studies and revealed a similar outcome (OR 0.36 [95%CI 0.27 to 0.48]), but with less heterogeneity (I2 = 36%). CONCLUSION: This systematic review and meta-analysis showed that pharmacy-supported interventions were associated with a significantly reduced probability of patients discharged on inappropriate AST. However, heterogeneity was high and may affect interpretation of results. Using funnel plot optimization method, three positive and two negative studies were objectively removed from analyses, resulting in a similar effect size, but with less heterogeneity. To improve study quality, future researchers should consider utilizing a pre-post, multi-arm, prospective design with sampling randomization, training of data extractors (preferably two extractors), re-evaluating a small dataset to check for agreement and providing a comprehensive methodology in subsequent publications.