2017
DOI: 10.5688/ajpe81114
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Blended Simulation Progress Testing for Assessment of Practice Readiness

Abstract: Objective. To design an assessment of practice readiness using blended-simulation progress testing. Design. A five-station, blended simulation assessment was developed to evaluate patient care outcomes in first-and third-year pharmacy (P1 and P3) students, as well as first-year postgraduate (PGY1) pharmacy residents. This assessment of practice readiness included knowledge and performance evaluations administered as a progress test. Assessment. Eighteen PGY1 residents, 108 P3 students, and 106 P1 students comp… Show more

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Cited by 26 publications
(19 citation statements)
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“…students at WISER in clinical pharmacy knowledge and skills. Beginning with learner satisfaction of a critical care pharmacy course, high‐fidelity simulation has enhanced the development and assessment of patient‐centered care skills in the acute care setting as well as in chronic disease management over the past 15 years …”
Section: Human Patient Simulationmentioning
confidence: 99%
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“…students at WISER in clinical pharmacy knowledge and skills. Beginning with learner satisfaction of a critical care pharmacy course, high‐fidelity simulation has enhanced the development and assessment of patient‐centered care skills in the acute care setting as well as in chronic disease management over the past 15 years …”
Section: Human Patient Simulationmentioning
confidence: 99%
“…These learning platforms have focused on clinical pharmacy education including the provision of medication therapy management; clinical decision‐making in acute care, oncology, and diabetes, and antibiotic administration; patient communication and interprofessional competency; patient assessment and recommendation development; and substance misuse education . Software has included vpSim and Decision Sim (Decision Simulation LLC, Chadsford, Pennsylvania), PharmaCAL (University of Pittsburgh, Pennsylvania), and TheraSim (TheraSim, Durham, North Carolina).…”
Section: Computer‐based Simulation and Virtual Patientsmentioning
confidence: 99%
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