
Factors Predicting Outcome in Group Treatment of Alcohol Use Disorders (AUDs)
Alcohol Use Disorder (AUD)Alcohol Abuse6 moreHarmful alcohol use is a global risk factor for disease, injuries and death. Research on treatment of Alcohol use disorders (AUDs) indicates that different treatment modalities are equally effective, but also that a large group of patients do not change their drinking pattern despite being in treatment. It is assumed that it is not random who benefits from treatment. Thirty to forty percent of outcome variance in treatment is probably explained by patient factors, and we need more knowledge on how different patient factors moderate treatment effects. Further, clinicians also need more knowledge about selecting patients to different therapies. The present study will investigate how patient factors predict outcome in group treatment of AUDs, and what predicts positive treatment outcomes over time. The study is designed as a quasi-experimental, multi-centre, follow-up study. Patients will be included from Vestfold Hospital Trust, Borgestadklinikken, Blue Cross Clinic, Behandlingssenteret Eina, Blue Cross Clinic and A-senteret, Oslo, Church City Mission. The Project will provide more knowledge about patients seeking treatment for AUDs, and specifically how patient factors predict outcome in group treatment. These results will in turn lead to better selection of treatment modalities, and patients will receive a more effective treatment earlier on. Main aims: 1) How do patient factors predict outcome in group treatment of alcohol use disorders (AUDs)? 2) Do positive treatment outcomes last over time? Specifically, do the following factors: a) psychiatric comorbidity b) severity of alcohol use pre-treatment c) personality disorders and d) cognitive impairments predict 1) completion of group treatment and 2) positive outcome after 1 year. As an additional aim, we will investigate if the Montreal Cognitive Assessment test (MoCa) is feasible as a brief screening instrument for mild cognitive impairments for AUD patients.

Severe Asthma, MepolizumaB and Affect: SAMBA Study
Severe Eosinophilic AsthmaPsychological Distress16 moreThis is a real-life pragmatic non-randomised study to explore the impact of mepolizumab on the emotional and affective outcomes of patients with severe eosinophilic asthma and their partners. It will be conducted in two quantitative stages (Phases 1 and 2) with an additional third qualitative component (Phase 3).

Study of Self-Recognition and Self/Other Distinction Disorders in Patients With Psychological Vulnerability...
Psychosis of Childhood BorderlinePsychotic DisorderThe main objective of this study is to establish whether there are differences in self-recognition and self/other distinction in subjects with psychological vulnerability compared to healthy volunteer controls.

Integration of Refugees Into Public Mental Health Care
Psychiatric Disorders From Chapters 3 and 4 of ICD10There are specific barriers to utilise psychotherapeutic services for refugees with mental health problems in the German public health care system. This study aims to evaluate additional organisational components that are hypothesised to improve service utilisation. In a randomised controlled trial, refugees with mental health problems are identified by peers, subsequently assessed by professional staff and referred to public psychotherapeutic health services who offer standard care. Participants are assigned to care as usual or to "coordinated and peer supported mental health care"; the latter includes several additional organisational assistance components, i.e. a coordination center, trained peers to support treatment utilisation, a support and training center for therapists, and a interpreter pool. Measures include service utilisation and symptom change after 6 months. Furthermore the study evaluates whether trained peers can correctly identify participants with mental health problems.

Artificial Intelligence in Mental Illness Diagnosis and Treatment
Artificial IntelligenceMental IllnessTo improve the quality of mental health services, we will develop a robot that includes disease screening, diagnosis, treatment, and follow-up. The effectiveness of robots will be verified in a prospective, randomized, multi-center clinical trial. We assume that the robot will reduce the differences in the experience of doctors of different years and will improve mental health care across the country, and improve the uneven distribution of mental health resources through remote resource sharing.

iKinnect2.0 for Juvenile Justice Involved Youth at Risk for Suicide
Child Behavior DisordersSuicide and Self-harmThis study is a 16-week intent-to-treat randomized controlled trial (RCT) with 120 suicidal juvenile justice (JJ)-involved transition-age (TA) youth (age 15-21 years) and a primary caregiver (dyads). Dyads will be randomly assigned to iKinnect2.0 (n=60 dyads) or Life360 (control app) plus an electronic suicide resources brochure (n=60 dyads). This design will test iKinnect2.0's new features for suicide prevention against TA youth awareness of and access to high-quality suicide prevention resources, while simultaneously testing features relating to conduct problems and parent management against parents knowing the TA youth's whereabouts in real-time and controlling for dyad member engagement in technology (Life360). Participants will be assessed at baseline, 4, 8 and 16 weeks. Primary youth-reported outcomes relating to suicide risk include: Suicidal behaviors (ideation, planning, attempts), non-suicidal self-injurious behaviors, self-efficacy in coping with distress, and use of imminent distress coping strategies (behavioral skills, use of crisis stabilization plan). Youth will also report on their criminal behavior. Primary caregiver-reported outcome variables relating to youth suicide include: Self-efficacy in applying family-based suicide-prevention strategies and reported use of those strategies; caregivers will also report on their own functioning (efficacy/confidence in parenting skills, life stress), TA youth functioning (internalizing and externalizing symptoms), parental management behaviors (expectation clarity, parental monitoring, discipline effectiveness/consistency, use of rewards), and parent-youth relationship quality (communication, conflict, support). App satisfaction and use of technology outcomes (i.e., degree of app usage, features used) will be examined and reported descriptively.

Understanding of Psychotic Disorders in Children With 22q11.2DS
22q11.2 Deletion SyndromeThe study PremiCeS22 will investigate the prodromal signals at the onset of psychotic disorders of children with 22q11.2 deletion syndrome

Developing and Pilot Testing a Remote Smoking Cessation Digital Therapeutic for Individuals With...
Smoking CessationThis is a pilot randomized clinical trial testing an implementation intervention to support delivery of a smoking cessation app tailored to the needs of those individuals with SMI who at community mental health programs.

Comparative Effectiveness of IIMR Versus CDSMP
Mental IllnessChronic DiseaseThe study will enroll 600 people with serious mental illness who receive services at Centerstone in KY or TN and will compare two different evidence-based self-management interventions: Integrated Illness Management and Recovery (I-IMR), a program developed by the study team at Dartmouth that trains people with serious mental illness on physical and mental health self-management, and the Stanford Chronic Disease Self-Management Program (CDSMP), a program largely focused on physical health self-management that has been used widely in the general population.

Impact of the Preventive Emotions Management Questionnaire on the Rates of Isolation and Mechanical...
Psychiatric DisorderThis observational study assesses whether the use of the QPGE has an impact on the rates of isolation and mechanical restraint in adult psychiatric admission units. It is supplemented by a qualitative survey that will collect the experience of caregivers using the QPGE.