Dataset: Knowledge and Attitude Retention Following an Implicit Bias Classroom Workshop

Authors

Yuanyuan Zhou
Joel Purkiss
Malvika Juneja
Jocelyn Greely
Anitra Beasley
Anne Gill

Publication Date

1-1-2022

Journal

F1000Research

DOI

10.12688/f1000research.74442.1

PMID

35265323

PMCID

PMC8874035

PubMedCentral® Posted Date

1-11-2022

PubMedCentral® Full Text Version

Post-Print

Published Open-Access

yes

Keywords

Attitude of Health Personnel, Bias, Implicit, Humans, Students, Medical, Surveys and Questionnaires, Universities, implicit bias, classroom workshop, repeated measures, Likert scales survey, unconscious bias

Abstract

Background: Baylor College of Medicine provides a classroom-based implicit bias workshop to all third-year medical students to increase students’ awareness of their unconscious bias and develop strategies for reducing health care disparities. The workshop meets our immediate goals and objectives. However, we are unsure if the benefit would be long-term or diminish over time.

Methods: To examine the concept retention from the implicit bias classroom workshop, we administered a self-developed seven-item seven-point Likert-scale survey to our medical students at pre-, post-, and one-year post-workshop attendance.

Results: The data set was comprised of survey results from two cohorts of our third and fourth-year medical students from 2018 to 2020 and included 289 completed records at three measurement points. The data included: Student Identifiers, Sex, Race/Ethnicity, Student Enrollment Type, Cohort, and three repeated measures results for each of the seven items, which were documented in wide format. The data may be of interest to those who wish to examine how factors including elapsed time, race, and sex may associate with attitudes and understandings of implicit bias following related training, and those interested in analytical methods on longitudinal research in general.

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