Browsing by Author "Gunter, Tracy D."

Now showing 1 - 6 of 6
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    Behavioral Genetics and the Forensic Mental Health Provider: An Overview
    (Wiley, 2015-10) Gunter, Tracy D.; Department of Psychiatry, IU School of Medicine
    The area of behavioral genetics has sufficiently entered the area of forensic mental health work that providers should have some working knowledge of the strengths and limitations of these exciting technical advances. Using MAOA as an example, this essay reviews some of the recurring themes in forensic behavioral genetics and suggests additional ways in which the technology might be used in legal matters.
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    Epigenetics and the Law: Introduction to this Issue
    (Wiley, 2015-10) Gunter, Tracy D.; Department of Psychiatry, IU School of Medicine
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    Navigating Work-Life Integration, Legal Issues, Patient Safety: Lessons for Work-Life Wellness in Academic Medicine: Part 1 of 3
    (University of Kansas Libraries, 2023-06-20) Hartwell, Jennifer L.; Barach, Paul; Gunter, Tracy D.; Reed, Kyra; Kelker, Heather; Welch, Julie; Olson, Kristine; Harry, Elizabeth; Meltzer-Brody, Samantha; Quinn, Mariah; Ferrand, Jennifer; Kiely, Sharon C.; Hartsock, Jane; Holmes, Emily; Schroeder, Kristin; Ahmed, Rami; Psychiatry, School of Medicine
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    Regulating Mobile Mental Health Apps
    (Wiley, 2018-03) Terry, Nicolas P.; Gunter, Tracy D.; Robert H. McKinney School of Law
    Mobile medical apps (MMAs) are a fast‐growing category of software typically installed on personal smartphones and wearable devices. A subset of MMAs are aimed at helping consumers identify mental states and/or mental illnesses. Although this is a fledgling domain, there are already enough extant mental health MMAs both to suggest a typology and to detail some of the regulatory issues they pose. As to the former, the current generation of apps includes those that facilitate self‐assessment or self‐help, connect patients with online support groups, connect patients with therapists, or predict mental health issues. Regulatory concerns with these apps include their quality, safety, and data protection. Unfortunately, the regulatory frameworks that apply have failed to provide coherent risk‐assessment models. As a result, prudent providers will need to progress with caution when it comes to recommending apps to patients or relying on app‐generated data to guide treatment.
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    Smoking, Methylation at AHRR, and Recidivism Risk in a Community Correction Sample of Individuals at High Risk for Recidivism
    (Wiley, 2015-10) Gunter, Tracy D.; Philibert, Robert A.; Department of Psychiatry, IU School of Medicine
    Individuals supervised by community correction programs have a high rate of tobacco use and high frequency of tobacco dependence. As compared with supervisees without tobacco dependence, probationers and parolees with tobacco dependence were more likely to abuse other substances and report poorer health. In this sample of 374 predominantly felon and repeat offenders, at high risk for recidivism, over 95% of subjects smoked or used other tobacco products, 87% were actively smoking at the time of interview, and 70% met criteria for lifetime tobacco dependence. Seventy-four percent had DNA demethylation, defined as methylation less than 83%, at the aryl hydrocarbon receptor repressor (AHRR) residue interrogated by cg0557592 at the time of interview. Seventy-eight percent exhibited four-year recidivism. Demethylation was associated with four-year recidivism in women, but not men. These findings suggest that methylation at cg05575921 serves as a semi-quantitative measure of both recent use and lifetime burden, that community correction populations continue to smoke at high risk, that measurement of methylation may add to the identification of female offenders at risk for recidivism, and that treatments to assist in cessation efforts are desperately needed.
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    Understanding Informational Practices and Exploring Data Collection Approaches for Quality of Life in Brain Injury Illness Management
    (2023-07) Masterson, Yamini Lalama Patnaik; Brady, Erin; Miller, Andrew D.; Toscos, Tammy; Hong, Youngbok; Gunter, Tracy D.
    Brain injury, a combination of medical injury, chronic illness, and impairment, affects more than 3.5 million people in the United States every year through an interplay of physiological, psychological, environmental, and cultural factors spanning clinical recovery, illness management, and personal recovery phases. The lack of collaborative and integrated understanding from healthcare and accessibility communities led to treating brain injury as a localized damage rather than individual response to ever-changing impairment and symptoms, focusing primarily on clinical recovery until recently. While self-tracking and management technologies have been widely successful in measuring individual symptoms, they have struggled to facilitate sensemaking and problem solving to achieve a consistent biopsychosocial awareness of illness. My dissertation addresses this gap through three aims: (1) investigate the current informational practices of individuals undergoing post-acute brain injury recovery, (2) explore technology-agnostic approaches for data collection and their impact on sensemaking processes and conceptual understanding of brain injury, and (3) develop guidelines for designing data collection tools that facilitate sensemaking in brain injury self-management. I achieve this through two longitudinal studies – an interview study that introduced participants to the framework on quality of life after traumatic brain injury (QoLIBRI) and a narrative study that used QoLIBRI framework to do structured journaling and co-design individualized data collection tools. The goal of this work is to improve self-awareness of individuals with brain injury enabling them to anticipate or recognize the occurrence of a challenge caused by impairment and then, utilize assistive technologies to bypass the limitation. It also has implications for involving neurodiverse populations in research and technology design.