3q29 deletion syndrome (3q29del) is a rare (~1:30 000) genomic disorder associated with a wide array of neurodevelopmental and psychiatric phenotypes. Prior work by our team identified clinically significant executive function (EF) deficits in 47% of individuals with 3q29del; however, the nuances of EF in this population have not been described.

We used the Behavior Rating Inventory of Executive Function (BRIEF) to perform the first in-depth assessment of real-world EF in a cohort of 32 individuals with 3q29del (62.5% male, mean age = 14.5 ± 8.3 years). All participants were also evaluated with gold-standard neuropsychiatric and cognitive assessments. High-resolution structural magnetic resonance imaging was performed on a subset of participants (n = 24).

We found global deficits in EF; individuals with 3q29del scored higher than the population mean on the BRIEF global executive composite (GEC) and all subscales. In total, 81.3% of study subjects (n = 26) scored in the clinical range on at least one BRIEF subscale. BRIEF GEC T scores were higher among 3q29del participants with a diagnosis of attention deficit/hyperactivity disorder (ADHD), and BRIEF GEC T scores were associated with schizophrenia spectrum symptoms as measured by the Structured Interview for Psychosis-Risk Syndromes. BRIEF GEC T scores were not associated with cognitive ability. The BRIEF-2 ADHD form accurately (sensitivity = 86.7%) classified individuals with 3q29del based on ADHD diagnosis status. BRIEF GEC T scores were correlated with cerebellar white matter and subregional cerebellar cortex volumes.

Together, these data expand our understanding of the phenotypic spectrum of 3q29del and identify EF as a core feature linked to both psychiatric and neuroanatomical features of the syndrome.

Chronic pain patients often contend with insomnia symptoms, creating a reciprocal relationship that adds complexity to their condition. Evaluating interventions targeting insomnia in this population becomes paramount, given the intertwined nature of pain and sleep disturbances.

This retrospective pretest design aimed to assess the efficacy of an Internet-delivered sound healing intervention in reducing insomnia severity and addressing sleep- and pain-related parameters among individuals with chronic pain.

Conducted as a community-based project, Tuning for Health provided support to individuals grappling with long-term illnesses. The intervention involved the virtual delivery of a specially crafted sound track using tuning forks over a 6-week period, supervised by an experienced therapist and administered weekly for an hour. Participants were instructed to play the track daily at a time convenient for them. A total of 68 participants (mean age 59.3 years) completed the intervention. Outcome measures, including the Insomnia Severity Index (ISI), a sleep diary, and assessments for anxiety, depression, and pain-related parameters, were collected at the end of the 6-week intervention and repeated after a 6-month follow-up. Negative effects were monitored and reported.

Significant immediate interaction effects (time by treatment) were observed for the pain severity, ISI and various sleep parameters, such as sleep efficiency, sleep onset latency, early morning awakenings, and wake time after sleep onset. A time effect for anxiety and depression was noted at the 6-month follow-up. The group exhibited highly significant improvements in pain-related parameters. At the 6-month follow-up, sustained enhancements in sleep parameters and mental health were reported, with no reported side effects.

These unique results suggest the potential efficacy of sound healing in alleviating chronic pain and associated insomnia. Further research with a larger sample size is warranted to validate these findings. Combining sound healing with other treatments may offer enhanced outcomes for individuals dealing with both chronic pain and comorbid insomnia. This study lays the groundwork for future investigations into the promising intersection of sound healing, chronic pain management, and sleep improvement.

None Declared

The European Alliance for Sport and Mental Health (EASMH) is a partnership of scientific institutions, charity associations and sport organizations, funded by EU-Erasmus+. It aimed at developing good clinical practice in psychiatric rehabilitation through sport-based interventions as an integration of pharmacological and psychological therapies. Within the framework of the EASMH projects, several actions have been promoted including an assessment of the dissemination of sport-based interventions, a training course for specialized coaches and the implementation of pilot actions in four European Countries.

To briefly describe EASMH pilot actions performed in Finland, Italy, Romania and United Kingdom, where trained coaches delivered sport-based interventions to patients with severe mental disorders.

After completing pilot actions, charity associations and sport organizations belonging to EASMH network described general and specific aims, sport activities, composition of staff, timing and tools for assessing the outcomes.

In Italy, “Crazy for Rugby”, including adolescents and young patients, and “Not only headshots”, a football project for adults with severe mental disorders were performed. In UK, a football-based activity called “Imagine Your Goal” and a walking-football program for participants aged more than 40 were delivered. In Romania, two courses including gymnastics, yoga and pilates called “Get fit!” were provided. Different team sport-based activities were implemented in Finland, where “Multiple Sport Group” and “Rehabilitating Sports” aimed at increasing patients’ autonomy. Assessment of psychopathological, social, cognitive and sport/fitness outcomes confirmed the overall beneficial effects of sport on mental health.

Pilot actions represent the final step of EASMH project, which showed improvement of mental health outcomes by also delivering sport-based rehabilitation to patients with severe mental disorders. Institutions and stakeholders are now called to promote the implementation of such initiatives on a broader scale.

None Declared

Although over 100 million pregnant women worldwide are at risk of infection with SARS-CoV-2, little data exists on the impact of COVID-19 and related treatments on maternal/neonatal health.

1) To quantify the prevalence of medication use in pregnancy to treat COVID-19; 2) To quantify and compare the risk of adverse pregnancy/neonatal outcomes in those with and without COVID-19.

In the Canadian Mother-Child population-based cohort (CAMCCO), two key sub-cohorts were identified using prospective data collection of medical services, prescription drugs, hospitalization archives data, and COVID-19 surveillance testing program (02/28/2020-2021). The first cohort included all pregnant women with at least one completed trimester of pregnancy during the study period regardless of pregnancy status (delivery, induced/planned or spontaneous abortion); this cohort was further stratified on COVID-19 status. The second cohort included all non-pregnant women (aged 15-45) with a positive COVID-19 test. COVID-19 infection in pregnant or non-pregnant women was assessed using COVID-19 test results or ICD-10CM codeU07.1 from hospital data. COVID-19 severity was categorized based on hospital admission. Women were considered exposed to COVID-19 medications if they filled at least one prescription for a medicine included in the WHO list in the 30 days pre- or 30 days post-COVID-19 positive test/diagnosis. Considering potential confounders, association between COVID-19 during pregnancy, treated vs not, and perinatal outcomes were quantified using log-binomial regression models.

150,345 pregnant women (3,464 (2.3%) had COVID-19), and 112,073 non-pregnant women with COVID-19 diagnoses were included. Pregnant women with COVID-19 were more likely to have severe infections compared to non-pregnant women with COVID-19 (11.4% vs 1.6%, p< 0.001). The most frequent medications used in pregnancy to treat COVID-19 were antibacterials (13.96%), psychoanaleptics (7.35%), and medicines for obstructive airway disease (3.20%). In pregnancy COVID-19 was associated with spontaneous abortions (adjRR 1.76, 95%CI 1.3, 2.25), gestational diabetes (adjRR 1.52, 95%CI 1.18, 1.97), prematurity (adjRR 1.30, 95%CI 1.01, 1.67), NICU admissions (adjRR 1.32, 95%CI 1.10, 1.59); COVID-19 severity was increasing these risks but COVID-19 treatment with study medications reduced all risks.

Severity of COVID-19 was greater in pregnancy. Antibacterials, psychoanaleptics, and medicines for obstructive airway disease were the most used overall. Severe COVID-19 in pregnancy was associated with higher risks of adverse maternal, and neonatal outcomes.

None Declared

The 2014 US National Strategy for Combating Antibiotic-Resistant Bacteria (CARB) aimed to reduce inappropriate inpatient antibiotic use by 20% for monitored conditions, such as community-acquired pneumonia (CAP), by 2020. We evaluated annual trends in length of therapy (LOT) in adults hospitalized with uncomplicated CAP from 2013 through 2020.

We conducted a retrospective cohort study among adults with a primary diagnosis of bacterial or unspecified pneumonia using International Classification of Diseases Ninth and Tenth Revision codes in MarketScan and the Centers for Medicare & Medicaid Services databases. We included patients with length of stay (LOS) of 2–10 days, discharged home with self-care, and not rehospitalized in the 3 days following discharge. We estimated inpatient LOT based on LOS from the PINC AI Healthcare Database. The total LOT was calculated by summing estimated inpatient LOT and actual postdischarge LOT. We examined trends from 2013 to 2020 in patients with total LOT >7 days, which was considered an indicator of likely excessive LOT.

There were 44,976 and 400,928 uncomplicated CAP hospitalizations among patients aged 18–64 years and ≥65 years, respectively. From 2013 to 2020, the proportion of patients with total LOT >7 days decreased by 25% (68% to 51%) among patients aged 18–64 years and by 27% (68%–50%) among patients aged ≥65 years.

Although likely excessive LOT for uncomplicated CAP patients decreased since 2013, the proportion of patients treated with LOT >7 days still exceeded 50% in 2020. Antibiotic stewardship programs should continue to pursue interventions to reduce likely excessive LOT for common infections.

Population studies have shown that Black individuals are at higher risk for MCI and dementia than White individuals but are more likely to be underdiagnosed or misdiagnosed. Although multiple contributory factors have been identified in relation to neurocognitive diagnostic disparities among persons of color, few studies have investigated race-associated differences in MCI and dementia classification across diagnostic methods. The current study examined the agreement of cognitive classification made via semi-structured interview and neuropsychological assessment.

Only participants assigned normal cognitive status or cognitive impairment with presumed Alzheimer’s etiology were included in the study. Baseline visit data in the National Alzheimer’s Coordinating Center (NACC) dataset was collected to compare correspondence of cognitive classification (normal cognition, MCI, dementia) via semi-structured interview (Clinical Dementia Rating; CDR) with formal NACC diagnostic determination. NACC diagnostic determination was further separated by single clinician and consensus diagnostic methods. Inter-rater agreement was evaluated using chi-squared tests, and respective analyses were stratified for race (Black vs White), ethnicity (Hispanic vs Non-Hispanic), and education (<12 years vs. >12 years).

The sample size included 4,739 Black and 26,393 White participants across 43 Alzheimer’s Disease Research Centers (ADRCs). Inter-rater analyses between CDR (semi-structured interview) versus single-clinician and formal consensus NACC diagnostic methods showed strong (all (pc>.70) consistency in cognitive diagnoses overall, irrespective of race, ethnicity, and education. The percentage of agreement between diagnostic methods was nearly 100% for those categorized as cognitively normal or with dementia. However, the agreement for MCI was considerably lower (ranging from 28-74%) and revealed a disparity in diagnostic method between Black and White individuals. White individuals diagnosed with MCI via CDR (CDR total =0.5) were more likely to be labeled as having dementia regardless of NACC diagnostic method. However, Black individuals diagnosed with MCI via CDR were equally likely to be diagnosed as cognitively normal or with dementia via the formal consensus method.

Irrespective of race and other demographic variables, diagnostic methods had high agreement for groups labeled with normal cognition and dementia. Agreement was consistently lower for the group labeled with MCI, with Black individuals having greater variability in diagnostic differentials when diagnosed via formal consensus method. The results of the study suggest that neuropsychological assessment continues to be an integral component of diagnosing individuals with MCI, reducing possible sources of bias.

Cohort studies demonstrate that people who later develop schizophrenia, on average, present with mild cognitive deficits in childhood and endure a decline in adolescence and adulthood. Yet, tremendous heterogeneity exists during the course of psychotic disorders, including the prodromal period. Individuals identified to be in this period (known as CHR-P) are at heightened risk for developing psychosis (~35%) and begin to exhibit cognitive deficits. Cognitive impairments in CHR-P (as a singular group) appear to be relatively stable or ameliorate over time. A sizeable proportion has been described to decline on measures related to processing speed or verbal learning. The purpose of this analysis is to use data-driven approaches to identify latent subgroups among CHR-P based on cognitive trajectories. This will yield a clearer understanding of the timing and presentation of both general and domain-specific deficits.

Participants included 684 young people at CHR-P (ages 12–35) from the second cohort of the North American Prodromal Longitudinal Study. Performance on the MATRICS Consensus Cognitive Battery (MCCB) and the Wechsler Abbreviated Scale of Intelligence (WASI-I) was assessed at baseline, 12-, and 24-months. Tested MCCB domains include verbal learning, speed of processing, working memory, and reasoning & problem-solving. Sex- and age-based norms were utilized. The Oral Reading subtest on the Wide Range Achievement Test (WRAT4) indexed pre-morbid IQ at baseline. Latent class mixture models were used to identify distinct trajectories of cognitive performance across two years. One- to 5-class solutions were compared to decide the best solution. This determination depended on goodness-of-fit metrics, interpretability of latent trajectories, and proportion of subgroup membership (>5%).

A one-class solution was found for WASI-I Full-Scale IQ, as people at CHR-P predominantly demonstrated an average IQ that increased gradually over time. For individual domains, one-class solutions also best fit the trajectories for speed of processing, verbal learning, and working memory domains. Two distinct subgroups were identified on one of the executive functioning domains, reasoning and problem-solving (NAB Mazes). The sample divided into unimpaired performance with mild improvement over time (Class I, 74%) and persistent performance two standard deviations below average (Class II, 26%). Between these classes, no significant differences were found for biological sex, age, years of education, or likelihood of conversion to psychosis (OR = 1.68, 95% CI 0.86 to 3.14). Individuals assigned to Class II did demonstrate a lower WASI-I IQ at baseline (96.3 vs. 106.3) and a lower premorbid IQ (100.8 vs. 106.2).

Youth at CHR-P demonstrate relatively homogeneous trajectories across time in terms of general cognition and most individual domains. In contrast, two distinct subgroups were observed with higher cognitive skills involving planning and foresight, and they notably exist independent of conversion outcome. Overall, these findings replicate and extend results from a recently published latent class analysis that examined 12-month trajectories among CHR-P using a different cognitive battery (Allott et al., 2022). Findings inform which individuals at CHR-P may be most likely to benefit from cognitive remediation and can inform about the substrates of deficits by establishing meaningful subtypes.

Daily driving behavior is ultimate measure of cognitive functioning requiring multiple cognitive domains working synergistically to complete this complex instrumental activity of daily living. As the world’s population continues to grow and age older, motor vehicle crashes become more frequent. Cognitive and brain reserve are developing constructs that are frequently assessed in aging research. Cognitive reserve preserves functioning in the face of greater loss of brain structure as experienced during cognitive impairment or dementia. This study determined whether cognitive reserve and brain reserve predict changes in adverse driving behaviors in cognitively normal older adults.

Cognitively normal participants (Clinical Dementia Rating 0) were enrolled from longitudinal studies at the Knight Alzheimer’s Disease Research Center at Washington University. Participants (n=186) were ≥ 65 years of age, required to have Magnetic Resonance Imaging (MRI) data, neuropsychological testing data, as well as one full year of naturalistic driving data prior to the beginning of COVID-19 lockdown in the United States (March 2020). Naturalistic driving behavior data was collected via the Driving Real World In-vehicle Evaluation System (DRIVES). DRIVES variables included idle time, over speeding, aggression, number of trips, including those at day and night. MRI was performed on 3T Tesla using a research imaging protocol based upon ADNI that includes a high-resolution T1 MPRAGE for assessment of brain structures to produce normalized whole brain volume (WBV) and hippocampal volume (HV). WBV and HV were each assessed using tertiles comparing the top 66% with the bottom 33% where the bottom represented increased atrophy. The Word Reading subtest of the Wide Range Achievement Test 4 (WRAT 4) was utilized as a proxy for cognitive reserve. WRAT 4 scores were compared with the top 66% and the bottom 33% where the bottom were poor performers. Linear-mixed-effect models adjusted for age, education, and sex.

Participants on average were older (73.7±4.9), college educated (16.6±2.2), and similar sex distribution (males=100, females=86). Analyses showed statistically significant differences in slopes where participants with increased hippocampal and whole brain atrophy were less likely to overspeed (p=0.0035; p=0.0003), drive aggressively (p=0.0016; p<0.0001), and drive during the daytime (p<0.0001; p<0.0001). However, they were more likely to spend more time idling (p=0.0005; p<0.0001) and drive during the nighttime (p=0.003; p=0.0002). Similar findings occurred with the WRAT 4 where participants with lower scores were less likely to overspeed (p=0.0035), drive aggressively (p=0.0024), hard brake (p=0.0180), and drive during the daytime (p<0.0001) while they were more likely to also spend more time idling (p=0.0012) and drive during the nighttime (p=0.0004).

Numerous changes in driving behaviors over time were predicted by increased hippocampal and whole brain atrophy as well as lower cognitive reserve scores proxied by the WRAT 4. These changes show that those with lower brain and cognitive reserve are more likely to restrict their driving behavior and adapt their daily behaviors as they age. These results suggest older adults with lower brain and cognitive reserve are more likely to avoid highways where speeding and aggressive maneuvers are more frequent.

Repetitive transcranial magnetic stimulation (TMS) is an evidenced based treatment for adults with treatment resistant depression (TRD). The standard clinical protocol for TMS is to stimulate the left dorsolateral prefrontal cortex (DLPFC). Although the DLPFC is a defining region in the cognitive control network of the brain and implicated in executive functions such as attention and working memory, we lack knowledge about whether TMS improves cognitive function independent of depression symptoms. This exploratory analysis sought to address this gap in knowledge by assessing changes in attention before and after completion of a standard treatment with TMS in Veterans with TRD.

Participants consisted of 7 Veterans (14.3% female; age M = 46.14, SD = 7.15; years education M = 16.86, SD = 3.02) who completed a full 30-session course of TMS treatment and had significant depressive symptoms at baseline (Patient Health Questionnaire-9; PHQ-9 score >5). Participants were given neurocognitive assessments measuring aspects of attention [Wechsler Adult Intelligence Scale 4th Edition (WAIS-IV) subtests: Digits Forward, Digits Backward, and Number Sequencing) at baseline and again after completion of TMS treatment. The relationship between pre and post scores were examined using paired-samples t-test for continuous variables and a linear regression to covary for depression and posttraumatic stress disorder (PTSD), which is often comorbid with depression in Veteran populations.

There was a significant improvement in Digit Span Forward (p=.01, d=-.53), but not Digit Span Backward (p=.06) and Number Sequencing (p=.54) post-TMS treatment. Depression severity was not a significant predictor of performance on Digit Span Forward (f(1,5)=.29, p=.61) after TMS treatment. PTSD severity was also not a significant predictor of performance on Digit Span Forward (f(1,5)=1.31, p=.32).

Findings suggested that a standard course of TMS improves less demanding measures of working memory after a full course of TMS, but possibly not the more demanding aspects of working memory. This improvement in cognitive function was independent of improvements in depression and PTSD symptoms. Further investigation in a larger sample and with direct neuroimaging measures of cognitive function is warranted.

The long-term cumulative impact of exposure to childhood adversity is well documented. There is an increasing body of literature examining protective factors following childhood adversity. However, no known reviews have summarised studies examining protective factors for broad psychosocial outcomes following childhood adversity.

To summarise the current evidence from longitudinal studies of protective factors for adult psychosocial outcomes following cumulative exposure to childhood adversity.

We conducted a formal systematic review of studies that were longitudinal; were published in a peer-reviewed journal; examined social, environmental or psychological factors that were measured following a cumulative measure of childhood adversity; and resulted in more positive adult psychosocial outcomes.

A total of 28 studies from 23 cohorts were included. Because of significant heterogeneity and conceptual differences in the final sample of articles, a meta-analysis was not conducted. The narrative review identified that social support is a protective factor specifically for mental health outcomes following childhood adversity. Findings also suggest that aspects of education are protective factors to adult socioeconomic, mental health and social outcomes following childhood adversity. Personality factors were protective for a variety of outcomes, particularly mental health. The personality factors were too various to summarise into meaningful combined effects. Overall GRADE quality assessments were low and very low, although these scores mostly reflect that all observational studies are low quality by default.

These findings support strategies that improve connection and access to education following childhood adversity exposure. Further research is needed for the roles of personality and dispositional factors, romantic relationship factors and the combined influences of multiple protective factors.

The construct of a clinical high-risk (CHR) state of psychosis has been established to describe potentially prodromal symptoms which typically appear during adolescence and young adulthood. This is a very sensitive developmental period and the clinical high risk (CHR) is associated with increased functional impairment. To address the specialities in the care for this patient population a specialized outpatient care unit for early intervention in psychosis at the Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital, of the University Zürich (CAPS) is established. The interdisciplinary team (psychiatrists and psychologists) supports children and adolescents with psychotic disorders or at clinical high risk for developing psychosis. The early intervention service offers specialized assessment, treatment and case management for minors with a first psychosis or CHR-state in an outpatient or inpatient setting as well as by day clinic care.

The evaluation main objective was to get a better understanding about this vulnerable patient group. Therefore we analysed the clinical data about CHR-state, comorbid diagnosis, treatment, medication and hospitalisation of the patients who entered the service for early intervention in psychosis.

Participants who entered the service for early intervention in psychosis were followed up in the years 2017-2021 and descriptive analysis was used to summarize the data. For the evaluation of the risk construct the participants have been classified in “no increased risk”, “CHR” or “early onset psychosis” (EOP). Additionally, ICD diagnosis, demographics and treatment (medication, psychotherapy, treatment setting) were assessed. Therapy was either psychotherapy and/or group training called DBT2P (Dialectical behavioral group training for adolescents, to prevent psychiatric disorders). Additionally, the use of a smartphone application “Robin Z”(add-on treatment tool to support the patients between the sessions) was assessed.

In the last five years we saw 300 patients (112 female, mean age 15.7) who sought the care unit for early intervention. The evaluation of the risk showed that 44 patients had no increased risk, 205 were classified with a CHR and 51 fulfilled the criteria of an early onset psychosis (18.5%). Most of the patients showed comorbid diagnosis, mainly depressive disorders (42%). The data about the treatment will be analyzed for the congress.

Despite clinical implications, there is little data about early detection and early intervention in psychosis for children and adolescent. Therefore, the evaluation of the clinical data of the CAPS is of clinical importance and expected to add essential information in the fields of prevention and early intervention in psychosis.

None Declared

Interest in the development of innovative technologies in the health sector has increased due to their potential to improve accessibility, efficacy, quality, and cost-effectiveness of treatment. Based on these considerations, we developed the app Robin Z to support adolescents in psychiatric treatment. Robin Z is intended as an add on therapy-tool. It aims to assess symptoms in real time, offer help in coping with symptoms and everyday life and to support medication adherence. Despite initial encouraging research findings supporting the use of smartphone technology in psychotherapy, it remains unclear whether the consistent use of smartphone technology in outpatient clinics is practical outside of research projects. Thus, it is uncertain whether patients will engage with this technology over an extended period of time and whether clinicians will be willing to integrate this new technology into their routine. In view of these factors, it is crucial to evaluate the use of smartphone apps for their applicability, effectiveness, and efficiency in clinical routine. In our investigation, we want to address these questions and fill the gap between research and clinical practice.

The aim of our evaluation is to identify barriers in clinical implementation plus to assess the usability and applicability of the Robin Z app in clinical practice.

We started the clinical implementation of Robin Z in four community-based outpatient services. We collected data of 27 adolescent patients and their caregivers (N=15) over a six-week period. They all completed questionnaires on user-friendliness and satisfaction. Further, user data about mood logs, symptom trajectories, achieved weekly goals and entries for positive reinforcement were gathered to examine the clinical impact of using the app.

The clinical implementation and evaluation will provide data on feasibility, user-friendliness, clinical implication and satisfaction of patients and therapists with the smartphone app Robin Z.

Although many apps are available for young people with mental health problems, most of these have not been developed by professionals, and their effectiveness has not been evaluated. To the best of our knowledge, Robin Z is one of the first apps of its kind to be specifically developed by clinical experts as an additional tool to support psychotherapy for adolescent patients. The results of this evaluation are of clinical importance to the field of eMental Health. They will provide preliminary evidence of the clinical utility of the app. In addition, the results will improve our understanding of potential barriers and facilitators to using Robin Z for both patients and therapists.

None Declared

The goal of psychotic disorders has led researchers to focus on early identification of individuals at clinical high risk (CHR) for psychosis and treatment of CHR symptoms. CHR symptoms typically occur in adolescence and young adulthood. This is a very sensitive developmental period, and CHR-state is associated with increased functional impairment. Age-appropriate treatment approaches that address youth-specific interests, complex symptomatology, associated distress, and functional impairment are needed. However, there is a lack of research on treatment strategies for this vulnerable age group. To address this gap, we developed the combined treatment program “Robin” (standardized manual and smartphone app). The treatment program targets CHR symptoms, comorbid symptoms, and improvement of quality of life and daily functioning. The smartphone app “Robin Z” is an add-on treatment tool to support patients between their sessions. While a number of studies using smartphone apps in therapy have shown promising effects with adult psychosis patients, little is known about their use in therapy with minor patients. “Robin Z” is one of the first smartphone apps targeting adolescent patients with CHR or full-blown psychotic symptoms.

The investigation of efficacy of this specific intervention versus treatment as usual

Our study was designed as a naturalistic clinical intervention study with a matched controlled design (treatment as usual). A total of 40 help-seeking adolescents (67% female) with CHR symptoms aged 13-18 years (mean age 15.86) were recruited to the intervention condition between September 2017 and May 2022. For the control group, data from 62 patients from a previous study are available and will be matched for age and gender. CHR symptoms, comorbid symptoms, functioning, self-efficacy, and quality of life will be monitored at six time points (baseline, during the treatment phase, immediately after the intervention, and 6, 12, and 24 months later).

All participants have now completed the intervention phase. In Paris, the first results on treatment effects will be presented at the symposium. This will include baseline data for the intervention group and their intraindividual changes in symptomatology, well-being, and level of functioning during and immediately after treatment. In addition, the results of the first follow up examinations compared to the control group will be presented.

To our knowledge, this is the first controlled trial to evaluate the effectiveness of a specific treatment for adolescents with early psychosis combined with a smartphone app. The results of our evaluation are of clinical importance and should provide essential information for both the field of eMental Health and the topic of early intervention in psychosis.

None Declared