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Updated: Jul 31, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
Instrument development to determine student self-efficacy to present a patient to a pharmacy preceptor (4P)
Susanne G Barnett1, Marina L Maes2, Edward C Portillo3
1University of Wisconsin-Madison, 1024 Rennebohm Hall, 777 Highland Ave., Madison, WI 53705, United States.
Introduction:
Effective patient assessment is often supported through simulated experiences where students identify potential drug-related problems (DRPs) through evaluation of the patient's electronic health record and verbally present their assessment and proposed resolutions for DRPs. This research aimed to initiate validation of a Patient Presentation to a Pharmacy Preceptor (4P) tool using exploratory factor analysis (EFA) to examine underlying constructs, refine items, and improve tool conciseness. The 4P tool was designed to assess student self-efficacy to identify, assess, resolve, and verbally present DRPs to a pharmacy preceptor.
Methods:
The 4P instrument was administered to third-year doctor of pharmacy students in a performance-based skills laboratory course. EFA was conducted on student confidence data to examine underlying 4P constructs and improve survey conciseness. Laboratory faculty evaluated EFA results and came to consensus on factor extraction, item reduction and revision, and a finalized version of the 4P tool.
Results:
Faculty interpretation of EFA results suggested elimination of two constructs resulting in a four-factor solution. Item evaluation further led to renaming the four constructs based on underlying factor themes. Out of the original 34-item tool, 13 items were eliminated, eight items were revised, and 1 new item was generated to retain relevant concepts. The refined 4P instrument contained four factors and 22 items.
Conclusions:
Use of EFA was useful to determine core 4P tool constructs and improved tool conciseness. This final four-factor model including 22 items will be used for a future confirmatory factor analysis.
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