Psychiatry and Psychology Commons^™

Phytoplankton Abundance And Methane Emissions Are Minimally Impacted By Environmentally-Relevant Glyphosate Concentrations In Small-Scale Outdoor Mesocosms, Christopher F Frazier, Ted D Harris, Tonya Delsontro, Hans-Peter Grossart, Belinda S M Sturm, Jalynn M Murry, Andrew Ising

Staff and Researcher Publications

Glyphosate is one of the most widely applied agrochemicals in North America and can be directly transported via runoff into non-target aquatic habitats. Yet, our understanding of how this herbicide affects aquatic ecosystems is limited; past studies have often focused on single species effects and/or used herbicide concentrations several orders of magnitude higher than what has been reported in contaminated aquatic systems. Further, glyphosate in aquatic systems has the potential to alter greenhouse gas emissions (methane) if it is broken down for phosphate utilization by bacteria under specific environmental conditions (i.e., oxygen, nutrient concentrations). In this study, we assessed the …

Knowledge, Attitude And Practice Of Artificial Intelligence Among Healthcare Professionals: An Online Cross-Sectional Survey, Nikhil R, Divya K L, Mahabaleshwar Mamadapur, Harshwardhan S Patil, Shashirekha B, Hema Sameera Pinnam, Purna Bansal

Digital Journal of Clinical Medicine

Background: Deep learning-powered Artificial Intelligence-driven assistance offers enormous potential to improve healthcare by facilitating administrative work, diagnosis, and the treatment of chronic diseases. The gap between clinical values and the day-to-day realities of primary care practice might widen if AI is not successfully incorporated.

Methods: A cross-sectional design was used to evaluate healthcare professionals' perceptions and understanding of AI within a clinical setting. The study was conducted among 456 Health care Workers from May to November 2024.

Results: Among 456 participants, 55.7% were MBBS students/interns, and 37.9% were postgraduates/professionals. More than 50% supported AI integration, and 62.3% of MBBS …

Biopsychosocial Profiles Following Acl Reconstruction: A Latent Class Analysis Of Barriers To Return-To-Activity, Erich Petushek, Matthew S. Harkey, Kim Santiago, Alexander Stamm, Shelby Baez, Jed A. Diekfuss, Gregory D. Myer, Christopher Kuenze

Michigan Tech Publications

Objective: Understanding of how biopsychosocial factors interrelate to affect recovery from ACL injuries is essential for improving patient outcomes. This research aimed to use Latent Class Analysis (LCA) to classify individuals post-ACL reconstruction into subgroups reflecting their particular biopsychosocial challenges to recovery. Design: Cross-Sectional. Methods: This multisite investigation included 134 ACLR patients approximately 6 months (5.6 months ± 1.8 SD) following surgery. The ACL Reasons scale, various Patient Reported Outcome (PRO), and performance-based measures were assessed. LCA was used to categorize patients into subgroups based on the ACL Reasons scale. Subgroups were then compared across demographic, PRO, and performance-based measures …

Personalised Learning In Medical Education – A Futuristic Model For Individual Learning Styles, Sujatha Mahadevarao Premnath, Ashwin Chand Ravichandran, Sivaa Rajendran

Digital Journal of Clinical Medicine

Medical education is transitioning from the traditional teacher-centred to a student-centred model, and an approach that caters to the diverse needs of the learner is necessary to meet these needs. Personalised learning is one such strategy that offers learning content based on individual profiles, learning styles, pace, and competency gaps. Here, the individual student receives content based on their preference, where the content can be created by educators leveraging technology, an adaptive learning platform, and artificial intelligence. It provides an inclusive and efficient learning platform that helps in creating more efficient medical graduates. This article explores the concept of personalized …

Institutionalized Bullying In Tertiary Institutions In Nigeria And Perceived Mental Health Impacts: A Phenomenological Qualitative Study, Chika Bosah, Casey Mace Firebaugh, Tara R. Zolnikov

The Qualitative Report

Institutionalized bullying is when bullying moves beyond individual instances of bullying and is culturally embedded in an institution, such as a school or workplace. This type of bullying has not been thoroughly examined in tertiary school settings in Nigeria. This phenomenological qualitative study examined the experiences of tertiary students (from four different institutions in Nigeria) and their experiences of institutionalized bullying to determine if and to what extent this practice is occurring. There were (n=48) tertiary students engaged in open-ended, semi-structured interviews in Nigeria in 2022. Interviews were transcribed, coded, and thematically analyzed. Overall, this study found that institutionalized bullying …

A Qualitative Analysis Of How Just Stop Oil Protests Are Framed In The Uk Online News Media, Holly Handy

The Plymouth Student Scientist

Previous research has found that when the news media reports on demonstrations, protest groups can be subject to delegitimising coverage. This body of research can be subsumed under Chan & Lee’s “protest paradigm” and is believed to consist of a set of narrative frames that journalists default to in the coverage of protests. Recent research demonstrates how the use of these framing devices may be in decline and advocates for a more integrated approach to protest coverage. However, there is little research that uses analytic frameworks specifically theorised to explore media framing. This study uses Giles and Shaw’s media framing …

Whole-Genome Sequence-Based Association Analysis Of African American Individuals With Bipolar Disorder And Schizophrenia, Runjia Li, Sarah A Gagliano Taliun, Kevin Liao, Matthew Flickinger, Janet L Sobell, Giulio Genovese, Adam E Locke, Rebeca Rothwell Chiu, Jonathon Lefaive, Jiongming Wang, Taylor Martins, Sinéad Chapman, Anna Neumann, Robert E Handsaker, Donna K Arnett, Kathleen C Barnes, Eric Boerwinkle, David Braff, Brian E Cade, Myriam Fornage, Richard A Gibbs, Karin F Hoth, Lifang Hou, Charles Kooperberg, Ruth J F Loos, Ginger A Metcalf, Courtney G Montgomery, Alanna C Morrison, Zhaohui S Qin, Susan Redline, Alexander P Reiner, Stephen S Rich, Jerome I Rotter, Kent D Taylor, Karine A Viaud-Martinez, Tim B Bigdeli, Stacey Gabriel, Sebastian Zollner, Albert V Smith, Goncalo Abecasis, Steve A Mccarroll, Michele T Pato, Carlos N Pato, Michael Boehnke, James Knowles, Hyun Min Kang, Roel A Ophoff, Jason Ernst, Laura J Scott

Faculty, Staff and Student Publications

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole-genome sequencing (∼27X) of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study). We increased power by incorporating 14,812 jointly called psychiatrically unscreened ancestry-matched controls from the Trans-Omics for Precision Medicine (TOPMed) Program for a total of …

Enhancing Collaborative Care: A Training Manual For Improving Veterans Affairs Mental Health Chaplaincy, Eddie L. Jones

Doctoral Dissertations and Projects

In 2010, the U.S. Department of Veterans Affairs (VA) and the Department of Defense (DoD) launched a study to investigate the integration of chaplains in mental health care. This research expands on that study by focusing on the critical need for enhanced collaboration between chaplaincy and mental health services at local VA facilities. While existing literature affirms the integral role of chaplains in addressing the spiritual and emotional needs of individuals, significant gaps in awareness and effective collaboration practices were identified at the Marion, IL VA Health Care System (VHCS). This study aimed to assess and address the specific training …

Low-Impact Functioning Autism And Psychotropic Medications, Angela N. Butler

Doctoral Dissertations and Projects

From the onset of the discovery of its existence, studies provided additional information pertaining to autism spectrum disorder (ASD), its influences on a child’s growth, everyday performance, including the capability to interrelate with people. Studies on appropriate medications to prescribe to ASD youth have yielded questionable results. Objective: This study’s purpose was to address adverse effects as an overall issue and re-evaluation of the psychotropic medications prescribed to Low-Impact ASD (LIASD) youth. Additionally, this study examined the process of diagnosing and supporting the reclassification of autism. Method: A mixed-methods design was employed, to review prescribed medications and determine the relationship …

Bridging Diagnostic Safety And Mental Health: A Systematic Review Highlighting Inequities In Autism Spectrum Disorder Diagnosis, Abirami Srivarathan, Andrea Bradford, Sara Shearkhani, Layla Heimlich, Sheryl Jefferson, Kristen E Miller, Kelly Smith, Helen Haskell, Traber D Giardina

Faculty, Staff and Students Publications

Introduction: There is increased recognition that diagnostic errors disproportionately affect marginalised and underserved patient populations in the USA. However, evidence on diagnostic inequities in mental disorders is sparse and not well integrated into the overall diagnostic safety literature.

Objective: We systematically reviewed and narratively synthesised evidence on inequities in diagnosis of mental disorders, guided by the Diagnostic Process Framework developed by The National Academies of Sciences, Engineering, and Medicine.

Methods: We conducted a systematic review and a narrative synthesis. Medline, Embase, PsycInfo and CINAHL were searched for studies published between 2015 and 2024. Studies were eligible if they reported on …

A Clinical Pathway For Differential Diagnosis Of Adhd Vs Trauma: Early Childhood Recognition And Intervention, Maria Neiers

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

Distinguishing Attention-Deficit/Hyperactivity Disorder (ADHD) from Complex Posttraumatic Stress Disorder (C-PTSD) presents significant diagnostic challenges due to overlapping symptom presentations, shared neurobiological impacts, and frequent comorbidities. This paper explores the nuanced clinical differentiation between ADHD and C-PTSD, and other trauma disorders, in pediatric populations, emphasizing the importance of trauma-informed assessment, early identification, and integrative clinical reasoning. The discussion highlights how structured diagnostic reasoning can reduce uncertainty, enhance diagnostic clarity, and support effective treatment planning. As a central contribution, this paper introduces an original clinical reasoning flowchart and a case conceptualization to illustrate its practical application in real-world diagnostic dilemmas. The need …

Enhancing Research Training Curricula Through The Ethical Integration Of Ai-Powered Tools: Opportunities And Challenges For Counselor Educators, Joshua C. Watson, Chris Leeth, Kevin Wong, Justen Schroeder

Journal of Counselor Preparation and Supervision

This article reviews existing training models used to teach research courses and facilitate researcher identity development in counselor education curricula and suggests how generative artificial intelligence (GenAI) can be incorporated into these courses as an instructional aid that improves researcher efficiency. Various GenAI tools used across stages of the research process are introduced with a discussion of their ethical implications and how they can be integrated into exiting lesson plans.

Counselor-In-Training Perceptions Of Artificial Intelligence: Implications For Counselor Education, Leo Gonzalez Jr., Deija Mccalla

Journal of Counselor Preparation and Supervision

This study examined the perceptions of counselors-in-training (CIT) on artificial intelligence (AI) in counseling practice and training. 31 CIT responded to three open-ended questions about the benefits, drawbacks, and overall attitudes of integrating AI into counseling practice and education. Thematic analysis was used to analyze the responses. The findings showed that CIT perceive AI as a clinical support tool, especially for tasks such as diagnosis and treatment planning. Additionally, CIT voiced concerns of potential overreliance on AI, ethical risks, confidentiality concerns, and the possible loss of human connection. Furthermore, although several CIT expressed cautious optimism regarding AI's use in counselor …

Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette

Journal of Counselor Preparation and Supervision

As artificial intelligence (AI) transforms mental health and education, counselor educators must prepare future practitioners to engage with these technologies ethically and effectively. This article presents a systematic framework for incorporating AI into counselor education through three key approaches: AI-generated content, AI analysis, and AI interactions. The framework addresses critical considerations including ethical implementation, prompt engineering, and cultural competence while maintaining alignment with professional standards. Drawing from current literature and ethical guidelines, we provide structured guidance for implementing AI across various content delivery styles, with emphasis on preserving clinical judgment and therapeutic relationships. Comprehensive appendices include implementation guides, assessment rubrics, …

A Pilot-Study Evaluating The Fidelity Of Chatgpt In Client Simulations, Eric Tod Beeson, Yusen Zhai, Russell Fulmer, Andrew M. Burck, Rakesh Maurya

Journal of Counselor Preparation and Supervision

Generative AI (genAI) is expanding in counselor education. This pilot study evaluated ChatGPT 4o's voice mode for simulating client scenarios during 53-minute mock-intake sessions with master’s-level counseling students. Analyzing eight domains (authenticity, consistency, emotional expression, empathy, cultural dynamics, self-awareness, goal setting, and role play confusion), ChatGPT’s responses showed good to excellent fidelity when compared to a typical client. Limitations such as formulaic and idealized responses raised authenticity concerns. ChatGPT offers a scalable, cost-effective tool for pre-practicum training, with potential to enhance skill development across the curriculum. Educators are encouraged to integrate genAI thoughtfully, prioritizing ethical considerations and iterative prompt refinement.

Utilizing Artificial Intelligence Therapeutic Adjuncts To Support Autistic Adults Between Counseling Sessions, Carlos J. Castaneda Jr, Nicole Noble, Afroze N. Shaikh

Journal of Counselor Preparation and Supervision

The integration of artificial intelligence (AI) into mental health care presents innovative opportunities for therapeutic interventions. This pilot study examined the use of a customized Artificial Intelligence Therapeutic Adjunct (AITA) as a supplementary counseling tool for adults with level one autism spectrum disorder who attended weekly counseling sessions. Using a Single Subject Design to review trends in mental health symptoms and perceptions of the AITA, participants engaged with the AITA over four weeks, completed weekly anxiety and depression assessments, and post-intervention and satisfaction surveys. Thematic Analysis identified common counseling concerns and the AITA’s use of counseling techniques. Although findings suggest …

Reimagining The Counseling Profession: Preparing Counselors For Ai And Digital Health Integration, Carl J. Sheperis, Dusti L. Annan-Coultas, Caronne C. C. Rush

Journal of Counselor Preparation and Supervision

Digital health technologies including artificial intelligence (AI) are transforming mental healthcare delivery, creating new opportunities and challenges for counseling practice. This article examines digital health applications in counseling, including telehealth, mobile apps, digital therapeutics, virtual reality, and AI-powered tools. We explore key implications for practice, including enhanced accessibility, impacts on therapeutic relationships, and ethical considerations. The article presents a six-domain competency framework covering privacy and security, technical proficiency, ethical literacy, clinical integration, therapeutic adaptability, and administrative management. A case study illustrates the practical application of hybrid digital care, while a discussion of counselor education highlights the need for curriculum updates. …

Letter From The Editors: Special Issue: Artificial Intelligence In Professional Counseling And Counselor Preparation, Rachel Jacoby, Sandra Logan-Mckibben

Journal of Counselor Preparation and Supervision

No abstract provided.

Enhancing Interprofessional Competence Among Speech Pathology, Nursing, Social Work, And Psychology Students Using Simulated Case Presentations, Elizabeth Oommen, Emily Helder, Kayla Johnson, Stacia L. Hoeksema, Laura Schipper

University Faculty Publications and Creative Works

Background: This study assesses the impact of an Interprofessional Education (IPE) program (which included simulated case presentations), on the perceived competence and quality of interprofessional (IP) work products of undergraduate social work, nursing, psychology students, and graduate students in speech-language pathology.

Methods: Participants included 123 students who participated in IP colloquiums through reviewing clinical cases, developing IP assessment and treatment goals, and presenting these to fellow students and faculty. Pre- and post-testing using IPEC Competency Self-Assessment Tool was used for assessment. For each colloquium, the students from all disciplines also submitted a single worksheet for their assigned case, …

Understanding And Predicting Flossing Behavior In A Rural Appalachian Community Using The Multi-Theory Model, Rahib K. Islam, Manoj Sharma, Amanda H. Wilkerson, Bradford Layman, Clyde Dunn, Shamima A. Somi, Ratnesh Sharma, Karen Gruszynski, Syed S. Quadri, Vinayak K. Nahar, Robert E. Davis

School of Medicine Faculty Publications

Effective flossing is essential for preventing periodontal disease. However, in a rural Appalachian community, adherence to flossing routines remains low, contributing to significant oral health disparities. The purpose of this study was to conceptualize intention of initiation and sustenance of flossing behaviors using the multi-theory model (MTM) of health behavior change. A cross-sectional survey was administered to individuals recruited from a shopping mall in rural Appalachia. The MTM constructs were measured and data were analyzed using multiple linear regression models. Of the 228 participants, 55% did not floss daily. Behavioral confidence (β = 0.571, p < 0.001) was a significant predictor for the intention of initiation of flossing among non-daily flossers, while emotional transformation (β = 0.377, p = 0.836) significantly explained sustenance among non-daily flossers. For daily flossers, changes in the physical environment (β = 0.432, p = 0.003) significantly predicted the intention of initiation of flossing, whereas emotional transformation (β = 0.344, p = 0.008) and practice for change (β = 0.594, p < 0.001) significantly predicted sustenance of flossing behavior. The MTM appears to be a robust framework for understanding and predicting flossing behaviors in rural Appalachian populations. Interventions designed to enhance behavioral confidence, physical environment changes, emotional transformation, and practice for change could improve flossing adherence. Further research should explore these constructs to develop targeted public health strategies.