Objective: New models of psychiatric intervention are needed to improve the accessibility of mental health care in the primary care setting, particularly in rural areas of the United States and especially for children and adolescents. The aim of this study was to examine the diagnostic characteristics and outcomes for children referred for eMental Health consultations at UC Davis (videoconferencing, telephone, and secure e-mail) from 10 primary care clinics in rural northern California.
Method: : A retrospective analysis was conducted on the diagnostic and clinical outcomes of 139 referred children who received a full psychiatric diagnostic evaluation via videoconferencing. Within the group, a convenience sample of 58 initial and 41 three-month follow-up Child Behavior Checklists (CBCLs) was collected.
Results: Comprehensive eMental Health programs appear to be effective for psychiatric diagnosis and assessment of children. Attention deficit (36.2%) and mood (28.1%) disorders were the most common diagnostic groupings overall. Most children were seen only once, but a statistically significant improvement between initial evaluation and 3-month follow-up in the convenience sample was seen in the Affect and Oppositional domains of the CBCL for girls and boys, respectively.
Conclusions: Versatile eMental Health programs, incorporating standardized checklists, may assist in diagnosis and treatment of rural children.
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http://dx.doi.org/10.1097/chi.0b013e31815a56a7 | DOI Listing |
Background: Many efforts to increase the uptake of e-mental health (eMH) have failed due to a lack of knowledge and skills, particularly among professionals. To train health care professionals in technology, serious gaming concepts such as educational escape rooms are increasingly used, which could also possibly be used in mental health care. However, such serious-game concepts are scarcely available for eMH training for mental health care professionals.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Clienia Schlössli AG, Psychiatry and Psychotherapy, Oetwil am See, Switzerland.
While research on blended therapy (BT), i.e. the combination of face-to-face and digital treatment, has grown rapidly, integrating BT into routine practice remains limited, especially in inpatient settings.
View Article and Find Full Text PDFBMJ Open
December 2024
Instituto Superior Miguel Torga, Coimbra, Portugal.
Introduction: Fertility patients increasingly use web-based and mobile-based apps to access psychosocial care. These digital tools may be a helpful alternative to traditional psychological interventions. Developing and evaluating patient-centred e-mental health tools rooted in evidence-based interventions is a priority.
View Article and Find Full Text PDFDigit Health
December 2024
Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
Background: Given that 'digitally native' children and young people spend much time at school, universal e-mental health interventions (ueMHIs) may have a role in supporting their wellbeing and reducing common mental health problems like anxiety and depression. However, the efficacy of school-based ueMHIs has never formally been evaluated.
Methods: During this systematic review and meta-analysis, we searched online databases MEDLINE, ERIC and ACM and the grey literature for trials of school-based ueMHIs targeted at improving wellbeing or reducing anxiety or depression in students aged 5-18.
JMIR Form Res
November 2024
Human Media Interaction group, University of Twente, Drienerlolaan 5, Enschede, 7522NB, Netherlands, 31 534893740.
Background: Artificial intelligence (AI) tools hold much promise for mental health care by increasing the scalability and accessibility of care. However, current development and evaluation practices of AI tools limit their meaningfulness for health care contexts and therefore also the practical usefulness of such tools for professionals and clients alike.
Objective: The aim of this study is to demonstrate the evaluation of an AI monitoring tool that detects the need for more intensive care in a web-based grief intervention for older mourners who have lost their spouse, with the goal of moving toward meaningful evaluation of AI tools in e-mental health.
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