Dataset Information

Addressing Microaggressions in Academic Health: A Workshop for Inclusive Excellence.

ABSTRACT:

Introduction

Health profession schools have acknowledged the need for a diverse workforce by increasing diversity in recruitment, but little has been done to build inclusive excellence in learning environments. Microaggressions and other forms of mistreatment can increase stress levels and depression and negatively impact academic performance. To increase student performance, retention, and wellness, mitigating microaggressions is needed to promote an inclusive culture.

Methods

We designed this workshop as a framework to think critically about microaggressions, how they impact the health professions academic environment, and how administrators, faculty, and students can promote inclusion excellence. The workshop included a presentation discussing microaggression theory, seven cases describing microaggressions in the health professions education environment, and discussion and facilitator guides. Cases were based on prior research conducted by the primary author and upon interactions authors shared from their professional experience. Participants completed pre- and postsurveys.

Results

During six workshops at three different institutions, 138 out of 190 participants (73% response rate), including nursing and medicine faculty, students, and leadership, completed the pre- and postsurveys. Pre- and posttraining measurements found statistically significant improvements in participants' knowledge of the impact of microaggressions, self-efficacy in responding to microaggressions, and commitment to being an active bystander in the face of microaggressions. Participants were highly satisfied with the training.

Discussion

This humanistic, case-based learning curriculum allows facilitators to guide faculty, student, and leadership conversations to build skills to promote inclusion excellence through preventing microaggressions, repairing and reestablishing relationships, and restoring reputations once microaggressions occur.

SUBMITTER: Ackerman-Barger K

PROVIDER: S-EPMC7880252 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Addressing Microaggressions in Academic Health: A Workshop for Inclusive Excellence.

Ackerman-Barger Kupiri K Jacobs N Nicole NN Orozco Regina R London Maya M

MedEdPORTAL : the journal of teaching and learning resources 20210211

<h4>Introduction</h4>Health profession schools have acknowledged the need for a diverse workforce by increasing diversity in recruitment, but little has been done to build inclusive excellence in learning environments. Microaggressions and other forms of mistreatment can increase stress levels and depression and negatively impact academic performance. To increase student performance, retention, and wellness, mitigating microaggressions is needed to promote an inclusive culture.<h4>Methods</h4>We ...[more]

PMID: 33598543

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Project description:While overt instances of harassment and violence towards LGBQ+ individuals have decreased in recent years, subtler forms of heterosexism still shape the social and academic experience of students in higher education contexts. Such forms, defined as microaggressions, frequently include environmental slights that communicate hostile and derogatory messages about one's sexual-minority status. However, there is some evidence suggesting that environmental microaggressions have deleterious effects on all students, regardless of their sexual orientation. The aim of the current study was to examine how heterosexist environmental microaggressions on campus contributed to heterosexual and non-heterosexual students' negative perceptions of campus climate. We also analyzed whether the effect of microaggressions on campus climate was mediated by student social integration on campus. Data were collected in 2018 through an anonymous web-based survey that involved students from a large university of Southern Italy. The sample consisted of 471 students from 18 to 33 years old. Thirty-eight (8.1%) students self-identified as non-heterosexual. Measures included self-reported experiences of environmental microaggressions on campus, student degree of satisfaction with peer-group and student-faculty interactions, perceptions of faculty concern for student development, and of the overall campus climate. The structural equation model showed that heterosexist environmental microaggressions on campus were associated with negative perceptions of campus climate through lowered satisfaction with peer-group interactions and perceptions of faculty concern for student development, for both heterosexual and non-heterosexual students. Overall, the findings of this study suggest that heterosexist microaggressions within campus environments are negatively associated with students' perceptions of campus climate, regardless of their sexual orientation. Both faculty and peers play an important role in creating an environment that supports the inclusivity of diversity and fosters a greater sense of belonging to the campus community.

Project description:BACKGROUND:Conventional diet assessment approaches such as the 24-hour self-reported recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy intake. Wearable sensor technology, coupled with advanced algorithms, is increasingly showing promise in its ability to capture behaviors that provide useful information for estimating calorie and macronutrient intake. OBJECTIVE:This paper aimed to summarize current technological approaches to monitoring energy intake on the basis of expert opinion from a workshop panel and to make recommendations to advance technology and algorithms to improve estimation of energy expenditure. METHODS:A 1-day invitational workshop sponsored by the National Science Foundation was held at Northwestern University. A total of 30 participants, including population health researchers, engineers, and intervention developers, from 6 universities and the National Institutes of Health participated in a panel discussing the state of evidence with regard to monitoring calorie intake and eating behaviors. RESULTS:Calorie monitoring using technological approaches can be characterized into 3 domains: (1) image-based sensing (eg, wearable and smartphone-based cameras combined with machine learning algorithms); (2) eating action unit (EAU) sensors (eg, to measure feeding gesture and chewing rate); and (3) biochemical measures (eg, serum and plasma metabolite concentrations). We discussed how each domain functions, provided examples of promising solutions, and highlighted potential challenges and opportunities in each domain. Image-based sensor research requires improved ground truth (context and known information about the foods), accurate food image segmentation and recognition algorithms, and reliable methods of estimating portion size. EAU-based domain research is limited by the understanding of when their systems (device and inference algorithm) succeed and fail, need for privacy-protecting methods of capturing ground truth, and uncertainty in food categorization. Although an exciting novel technology, the challenges of biochemical sensing range from a lack of adaptability to environmental effects (eg, temperature change) and mechanical impact, instability of wearable sensor performance over time, and single-use design. CONCLUSIONS:Conventional approaches to calorie monitoring rely predominantly on self-reports. These approaches can gain contextual information from image-based and EAU-based domains that can map automatically captured food images to a food database and detect proxies that correlate with food volume and caloric intake. Although the continued development of advanced machine learning techniques will advance the accuracy of such wearables, biochemical sensing provides an electrochemical analysis of sweat using soft bioelectronics on human skin, enabling noninvasive measures of chemical compounds that provide insight into the digestive and endocrine systems. Future computing-based researchers should focus on reducing the burden of wearable sensors, aligning data across multiple devices, automating methods of data annotation, increasing rigor in studying system acceptability, increasing battery lifetime, and rigorously testing validity of the measure. Such research requires moving promising technological solutions from the controlled laboratory setting to the field.

Dataset Information

Addressing Microaggressions in Academic Health: A Workshop for Inclusive Excellence.

Introduction

Methods

Results

Discussion

Publications

Addressing Microaggressions in Academic Health: A Workshop for Inclusive Excellence.

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