Counseling psychologists are a cogent fit to lead the movement toward a sex-positive professional psychology (Burnes et al., 2017a). Though centralizing training in human sexuality (HS; Mollen & Abbott, 2021) and sexual and reproductive health (Grzanka & Frantell, 2017) is congruent with counseling psychologists' values, training programs rarely require or integrate comprehensive sexuality training for their students (Mollen et al., 2020). We employed a critical mixed-methods design in the interest of centering the missing voices of doctoral-level graduate students in counseling psychology in the discussion of the importance of human sexuality competence for counseling psychologists. Using focus groups to ascertain students' perspectives on their human sexuality training (HST) in counseling psychology, responses yielded five themes: (a) HST is integral to counseling psychology training, (b) few opportunities to gain human sexuality competence, (c) inconsistent training and self-directed learning, (d) varying levels of human sexuality comfort and competence, and (e) desire for integration of HST. Survey responses suggested students were trained on the vast majority of human sexuality topics at low levels, consistent with prior studies surveying training directors in counseling psychology and at internship training sites (Abbott et al., 2021; Mollen et al., 2020). Taken together, results suggested students see HST as aligned with the social justice emphasis in counseling psychology but found their current training was inconsistent, incidental rather than intentional, and lacked depth. Recommendations, contextualized within counseling psychology values, are offered to increase opportunities for and strengthen HST in counseling psychology training programs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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PLoS One
January 2025
Kaiser Permanente San Jose Psychiatry, San Jose, California, United States of America.
The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.
View Article and Find Full Text PDFInt J Nurs Health Care Res (Lisle)
October 2024
Helfgott Research Institute, National University of Natural Medicine, Portland, OR, USA.
Introduction: Binge Eating Disorder (BED) has high lifetime prevalence rates, low treatment success rates, and high rates of treatment dissatisfaction, early discontinuation of care, and recurrence. Complementary and integrative health (CIH) interventions (non-mainstream practices used with conventional approaches for whole-person treatment) hold potential to overcome many treatment barriers and improve BED treatment outcomes. Some CIH interventions have empirical support for use in eating disorders.
View Article and Find Full Text PDFBr J Educ Psychol
January 2025
School of Psychology and Counselling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Background: The transition from primary to secondary school presents a challenging developmental milestone which often marks a decline in academic performance. Social-emotional skills are recognized as fundamental to academic success but longitudinal research is needed to determine the extent of their association over this transition period.
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View Article and Find Full Text PDFJ Med Syst
January 2025
Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, 255, Civic Square Building 33 Livingston Ave #400, New Brunswick, NJ, 08901, USA.
Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train healthcare professionals, and advance medical research. This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
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