Related Experiment Video
Updated: Sep 24, 2025
A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
Published on: February 13, 2020
Selection by design: Using job analysis to guide the selection of postgraduate pharmacy residents
Brent N Reed1, Sandeep Devabhakthuni1, Stormi E Gale1
1University of Maryland School of Pharmacy, Baltimore, MD, USA.
Purpose:
To help ensure that we were accurately and consistently evaluating applicants to our postgraduate year 1 (PGY1) pharmacy residency program, we performed a job analysis to inform a redesign of our selection process.
Summary:
A diverse panel of subject matter experts from our program was convened to develop a task inventory; a list of knowledge, skills, abilities, and other characteristics necessary for success in our program; and behavioral snapshots representing especially strong or weak resident performance (ie, critical incidents). After achieving a priori thresholds of consensus, these items were used to augment our application screening instrument (eg, development of anchored rating scales), build an online supplemental application consisting of a personality test and situational judgment test, develop a work sample consisting of a patient case presentation, and enhance the structure of our interviews (eg, by asking a consistent pattern of questions for all candidates). Preceptors reported that the redesigned process was more organized, easier to complete, and facilitated greater rating consistency.
Conclusion:
Job analysis represents an approach to designing selection processes that are more valid, reliable, transparent, and fair. Based on our experiences, recommendations for those who are considering changes to their selection process are provided.
More Related Videos
05:04Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
Published on: August 9, 2024
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
01:12Analysis of Population Pharmacokinetic Data
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
01:26Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
01:19Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
01:28Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...