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Improving outcomes of youth with mental health (MH) needs as they transition into adulthood is of critical public health significance. Effective psychotherapy MH treatment is available, but can be effective only if the emerging adult (EA) attends long enough to benefit. Unfortunately, completion of psychotherapy among EAs is lower than for more mature adults (Edlund et al., 2002; Olfson, Marcus, Druss, & Pincus, 2002). To target the high attrition of EAs in MH treatment, investigators adapted a developmentally appropriate brief intervention aimed at reducing treatment attrition (TA) in psychotherapy and conducted a feasibility study of implementation. The intervention employs motivational interviewing strategies aimed at engaging and retaining EAs in outpatient MH treatment. Motivational enhancement therapy for treatment attrition, or MET-TA, takes only a few sessions at the outset of treatment as an adjunct to usual treatment. Importantly, it can be used for TA with psychotherapy for any MH condition; in other words, it is transdiagnostic. This article presents the first description of MET-TA, along with a case example that demonstrates important characteristics of the approach, and then briefly describes implementation feasibility based on a small pilot randomized controlled trial.
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http://dx.doi.org/10.1016/j.cbpra.2015.09.007 | DOI Listing |
Ther Adv Reprod Health
September 2025
Division of Endocrinology, Department of Pediatrics, McMaster Children's Hospital, McMaster University, Hamilton, Canada.
Background: Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrine system disorders affecting reproductive-aged women of all races and ethnicities. A high prevalence of obesity exists in women with PCOS, who are also vulnerable to attrition from weight management programs. Despite recommendations the implementation of multidisciplinary approaches in weight management programs, there is a lack of literature evaluating their usage in their treatment programs.
View Article and Find Full Text PDFNIHR Open Res
June 2025
Neuropsychology Service, Psychological & Mental Health Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, WC1N 3JH, UK.
Background: Medical treatments have improved survival rates for paediatric brain tumour (PBT), but the condition and treatment continue to be associated with significant cognitive morbidity. Nearly all survivors will experience some degree of cognitive impairment (neurocognitive 'late effects') that has a cascading impact on the development of intellectual and academic skills, quality of life, mental health, vocational attainment, and functional independence. Longstanding cognitive fatigue is also a prevalent symptom for survivors of PBT and further impacts engagement with therapeutic interventions and quality of life.
View Article and Find Full Text PDFNeurol Clin Pract
October 2025
Departments of Neurology and Radiology, University of Texas Southwestern Medical Center, Dallas.
Background And Objectives: With more women entering the medical workforce, caregiving challenges and family-work conflicts are of growing importance to today's neurologists. The aim of this study was to assess the impact of caregiver (CG) status on academic achievements in neurology, analyze the division of labor and time devoted to domestic responsibilities, and measure family-work conflict in US academic neurology faculty.
Methods: A total of 19 US neurology departments completed a survey on baseline demographics, academic achievements, CG status, division of domestic time and labor, and responses on a FWC scale.
PLoS Comput Biol
September 2025
School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
Drug-induced liver injury is a leading cause of high attrition rates for both candidate drugs and marketed medications. Previous in silico models may not effectively utilize biological drug property information and often lack robust model validation. In this study, we developed a graph convolutional network embedded with a biological graph learning (BioGL) module-named BioGL-GCN(Biological Graph Learning-Graph Convolutional Network)-for drug-induced liver injury prediction using toxicogenomic profiles.
View Article and Find Full Text PDFJ Int AIDS Soc
September 2025
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Introduction: We previously published a systematic review evaluating retention in care after antiretroviral therapy initiation among adults in low- and middle-income countries from 2008 to 2013. This review evaluates retention after the implementation of Universal Test and Treat (UTT) in 2015.
Methods: We searched PubMed, ISI Web of Science, Cochrane Database of Systematic Reviews and EMBASE for studies published 1 January 2017, through 31 December 2024 and searched conference abstract repositories from AIDS, IAS and CROI from 2015 to 2024.