Relapse prevention through health technology program reduces hospitalization in schizophrenia.

BACKGROUND: Psychiatric hospitalization is a major driver of cost in the treatment of schizophrenia. Here, we asked whether a technology-enhanced approach to relapse prevention could reduce days spent in a hospital after discharge. METHODS: The Improving Care and Reducing Cost (ICRC) study was a quasi-experimental clinical trial in outpatients with schizophrenia conducted between 26 February 2013 and 17 April 2015 at 10 different sites in the USA in an outpatient setting. Patients were between 18 and 60 years old with a diagnosis of schizophrenia, schizoaffective disorder, or psychotic disorder not otherwise specified. Patients received usual care or a technology-enhanced relapse prevention program during a 6-month period after discharge. The health technology program included in-person, individualized relapse prevention planning with treatments delivered via smartphones and computers, as well as a web-based prescriber decision support program. The main outcome measure was days spent in a psychiatric hospital during 6 months after discharge. RESULTS: The study included 462 patients, of which 438 had complete baseline data and were thus used for propensity matching and analysis. Control participants (N = 89; 37 females) were enrolled first and received usual care for relapse prevention followed by 349 participants (128 females) who received technology-enhanced relapse prevention. During 6-month follow-up, 43% of control and 24% of intervention participants were hospitalized (χ2 = 11.76, p<0.001). Days of hospitalization were reduced by 5 days (mean days: b = -4.58, 95% CI -9.03 to -0.13, p = 0.044) in the intervention condition compared to control. CONCLUSIONS: These results suggest that technology-enhanced relapse prevention is an effective and feasible way to reduce rehospitalization days among patients with schizophrenia.

Post-acute college student satisfaction with telepsychiatry during the COVID-19 pandemic.

OBJECTIVES: Patient satisfaction with telepsychiatry during the COVID-19 pandemic has generally been positive, but few studies have compared patient experiences across settings, and no study to date has investigated the experience of college students receiving post-acute mental health treatment in an outpatient setting. PARTICIPANTS: The current study surveyed college student outpatients (n = 101) to understand their experiences using telehealth during the COVID-19 pandemic. METHODS: An anonymous survey was delivered electronically and included questions regarding patients' age, treatment length, telehealth use, and their experience and satisfaction with telepsychiatry. A mixed-methods approach was used to analyze responses between groups through Chi-Square, Kruskal-Wallis, or Mann-Whitney tests, and qualitatively to understand themes across items related to the benefits and challenges of telehealth. RESULTS: College students were more likely to utilize video-based telehealth and preferred video-based care. College students receiving medication management were much more likely to endorse telehealth being as helpful as in-person treatment. Several challenges associated with telehealth were raised in both groups. CONCLUSIONS: Understanding the benefits and challenges of telepsychiatry in this high-risk college population may help enhance access to care during a critical period of development in which most psychopathology emerges.

Mental Health Care Providers' Attitudes Toward Telepsychiatry: A Systemwide, Multisite Survey During the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic has forced a rapid transition to telepsychiatry. This study examined the experience and attitudes of mental health care providers toward telehealth. METHODS: At 18 centers across the United States, 819 mental health care providers completed an electronic survey about telepsychiatry use and satisfaction. RESULTS: Overall, 73% of providers using videoconferencing and 66% using the telephone rated their experience as excellent or good. Flexible scheduling or rescheduling (77%) and timely start (69%) were frequently reported advantages for both modalities. Challenges were related to patients' inability to use conferencing devices (52%), lack of sense of closeness or connection (46%), and technical problems (39%). After the pandemic resolves, 64% of respondents would want to continue using telepsychiatry in at least 25% of their caseload. CONCLUSIONS: Telepsychiatry was very well perceived among mental health care providers, and many would like to continue using it. Access to technology and training raises concerns.

Patient Attitudes Toward Telepsychiatry During the COVID-19 Pandemic: A Nationwide, Multisite Survey.

BACKGROUND: The COVID-19 pandemic and its associated movement restrictions forced a rapid and massive transition to telepsychiatry to successfully maintain care continuity. OBJECTIVE: The aim of this study is to examine a large number of patients' experiences of, use of, and attitudes toward telepsychiatry. METHODS: An anonymous 11-question survey was delivered electronically to 14,000 patients receiving telepsychiatry care at 18 participating centers across 11 US states between the months of April and June 2020, including questions about their age and length of service use, as well as experience and satisfaction with telepsychiatry on a 5-point Likert scale. Descriptive statistics were used to analyze and report data. RESULTS: In total, 3070 patients with different age ranges participated. The overall experience using telepsychiatry was either excellent or good for 1189 (82.2%) participants using video and 2312 (81.5%) using telephone. In addition, 1922 (63.6%) patients either agreed or strongly agreed that remote treatment sessions (telephone or video) have been just as helpful as in-person treatment. Lack of commute (n=1406, 46.1%) and flexible scheduling/rescheduling (n=1389, 45.5%) were frequently reported advantages of telepsychiatry, whereas missing the clinic/hospital (n=936, 30.7%) and not feeling as connected to their doctor/nurse/therapist (n=752, 24.6%) were the most frequently reported challenges. After the current pandemic resolves, 1937 (64.2%) respondents either agreed or strongly agreed that they would consider using remote treatment sessions in the future. CONCLUSIONS: Telepsychiatry is very well perceived among a large sample of patients. After the current pandemic resolves, some patients may benefit from continued telepsychiatry, but longitudinal studies are needed to assess impact on clinical outcomes and determine whether patients' perceptions change over time.

Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.

Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people with schizophrenia. As such, behavioral rhythm sensing with smartphones and machine learning can help better understand and predict their symptoms. Our goal is to predict fine-grained symptom changes with interpretable models. We computed rhythm-based features from 61 participants with 6,132 days of data and used multi-task learning to predict their ecological momentary assessment scores for 10 different symptom items. By taking into account both the similarities and differences between different participants and symptoms, our multi-task learning models perform statistically significantly better than the models trained with single-task learning for predicting patients' individual symptom trajectories, such as feeling depressed, social, and calm and hearing voices. We also found different subtypes for each of the symptoms by applying unsupervised clustering to the feature weights in the models. Taken together, compared to the features used in the previous studies, our rhythm features not only improved models' prediction accuracy but also provided better interpretability for how patients' behavioral rhythms and the rhythms of their environments influence their symptom conditions. This will enable both the patients and clinicians to monitor how these factors affect a patient's condition and how to mitigate the influence of these factors. As such, we envision that our solution allows early detection and early intervention before a patient's condition starts deteriorating without requiring extra effort from patients and clinicians.

Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.

BACKGROUND: Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early warning signs of impending symptomatic relapses would allow clinicians to intervene before the patient's condition worsens. OBJECTIVE: In this study, we aim to create the first models, exclusively using passive sensing data from a smartphone, to predict behavioral anomalies that could indicate early warning signs of a psychotic relapse. METHODS: Data used to train and test the models were collected during the CrossCheck study. Hourly features derived from smartphone passive sensing data were extracted from 60 patients with SSDs (42 nonrelapse and 18 relapse >1 time throughout the study) and used to train models and test performance. We trained 2 types of encoder-decoder neural network models and a clustering-based local outlier factor model to predict behavioral anomalies that occurred within the 30-day period before a participant's date of relapse (the near relapse period). Models were trained to recreate participant behavior on days of relative health (DRH, outside of the near relapse period), following which a threshold to the recreation error was applied to predict anomalies. The neural network model architecture and the percentage of relapse participant data used to train all models were varied. RESULTS: A total of 20,137 days of collected data were analyzed, with 726 days of data (0.037%) within any 30-day near relapse period. The best performing model used a fully connected neural network autoencoder architecture and achieved a median sensitivity of 0.25 (IQR 0.15-1.00) and specificity of 0.88 (IQR 0.14-0.96; a median 108% increase in behavioral anomalies near relapse). We conducted a post hoc analysis using the best performing model to identify behavioral features that had a medium-to-large effect (Cohen d>0.5) in distinguishing anomalies near relapse from DRH among 4 participants who relapsed multiple times throughout the study. Qualitative validation using clinical notes collected during the original CrossCheck study showed that the identified features from our analysis were presented to clinicians during relapse events. CONCLUSIONS: Our proposed method predicted a higher rate of anomalies in patients with SSDs within the 30-day near relapse period and can be used to uncover individual-level behaviors that change before relapse. This approach will enable technologists and clinicians to build unobtrusive digital mental health tools that can predict incipient relapse in SSDs.

Capturing behavioral indicators of persecutory ideation using mobile technology.

Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with schizophrenia spectrum disorders completed momentary assessments of PI on a smartphone that also passively collected behavioral data for one year. Results suggested that PI was prevalent (n = 50, 82% of sample) but had infrequent incidence (25.2% of EMA responses). PI was also associated with changes in several passively sensed variables, including decreases in distance traveled (Mkilometers = -1.20, SD = 18.88), time spent in a vehicle (Mminutes = -4.15, SD = 49.59), length of outgoing phone calls (Mminutes = -0.79, SD = 13.13), time spent proximal to human speech (Mminutes = -6.26, SD = 153.03), and an increase in time sitting still (Mminutes = 4.04, SD = 94.69). The present study suggests changes associated with PI may be detectable by passive sensors, including reductions in moving or traveling, and time spent around others or in self-initiated phone conversations. These constructs might constitute risk for PI.

Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

Social dysfunction is a hallmark of schizophrenia. Social isolation may increase individuals' risk for psychotic symptom exacerbation and relapse. Monitoring and timely detection of shifts in social functioning are hampered by the limitations of traditional clinic-based assessment strategies. Ubiquitous mobile technologies such as smartphones introduce new opportunities to capture objective digital indicators of social behavior. The goal of this study was to evaluate whether smartphone-collected digital measures of social behavior can provide early indication of relapse events among individuals with schizophrenia. Sixty-one individuals with schizophrenia with elevated risk for relapse were given smartphones with the CrossCheck behavioral sensing system for a year of remote monitoring. CrossCheck leveraged the device's microphone, call record, and text messaging log to capture digital socialization data. Relapse events including psychiatric hospitalizations, suicidal ideation, and significant psychiatric symptom exacerbations were recorded by trained assessors. Exploratory mixed effects models examined relationships of social behavior to relapse, finding that reductions in number and duration of outgoing calls, as well as number of text messages were associated with relapses. Number and duration of incoming phone calls and in-person conversations were not. Smartphone enabled social activity may provide an important metric in determining relapse risk in schizophrenia and provide access to sensitive, meaningful and ecologically valid data streams never before available in routine care.

CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.

OBJECTIVE: This purpose of this study was to describe and demonstrate CrossCheck, a multimodal data collection system designed to aid in continuous remote monitoring and identification of subjective and objective indicators of psychotic relapse. METHOD: Individuals with schizophrenia-spectrum disorders received a smartphone with the monitoring system installed along with unlimited data plan for 12 months. Participants were instructed to carry the device with them and to complete brief self-reports multiple times a week. Multimodal behavioral sensing (i.e., physical activity, geospatials activity, speech frequency, and duration) and device use data (i.e., call and text activity, app use) were captured automatically. Five individuals who experienced psychiatric hospitalization were selected and described for instructive purposes. RESULTS: Participants had unique digital indicators of their psychotic relapse. For some, self-reports provided clear and potentially actionable description of symptom exacerbation prior to hospitalization. Others had behavioral sensing data trends (e.g., shifts in geolocation patterns, declines in physical activity) or device use patterns (e.g., increased nighttime app use, discontinuation of all smartphone use) that reflected the changes they experienced more effectively. CONCLUSION: Advancements in mobile technology are enabling collection of an abundance of information that until recently was largely inaccessible to clinical research and practice. However, remote monitoring and relapse detection is in its nascence. Development and evaluation of innovative data management, modeling, and signal-detection techniques that can identify changes within an individual over time (i.e., unique relapse signatures) will be essential if we are to capitalize on these data to improve treatment and prevention. (PsycINFO Database Record

Neuropsychological Test Performance to Enhance Identification of Subjects at Clinical High Risk for Psychosis and to Be Most Promising for Predictive Algorithms for Conversion to Psychosis: A Meta-Analysis.

OBJECTIVE: To compare neuropsychological performance in people at clinical high risk for psychosis (CHR), healthy controls (HCs), or subjects with first-episode psychosis (FEP). DATA SOURCES: Systematic PubMed/MEDLINE search through January 2014, without language restrictions, using search terms prodrome OR clinical high-risk OR ultra-high risk AND cognition OR individual test names. STUDY SELECTION: Studies reporting neuropsychological data in CHR versus a HC or FEP groups or comparing CHR subjects who converted to psychosis (CHR-P) with CHR subjects who did not convert to psychosis (CHR-NP). DATA EXTRACTION: Two authors independently extracted and compared neurocognitive test data. RESULTS: A meta-analysis was performed on 60 neuropsychological tests from 9 domains in 32 studies with 21 nonoverlapping samples (CHR = 1,684 patients, HC = 986, FEP = 405). Compared to HCs, people with CHR performed significantly worse in 7 of 9 domains (Hedges g effect size [95% confidence limit] = -0.17 [-0.30, -0.04] [attention/vigilance] to -0.42 [-0.64, -0.20] [verbal learning, speed of processing] and -0.43 [-0.68, -0.18] [social cognition]), except reasoning/problem solving and working memory (which separated in longitudinal studies). California Verbal Learning Test (-0.65 [-0.84, -0.46]) and Digit Symbol Test (-0.63 [-0.86, -0.40]) separated groups the most. Compared to FEP subjects, people with CHR performed significantly better in 5 of 6 domains (from 0.29 [0.03, 0.56] [speed of processing] to 0.39 [0.17, 0.62] [attention/vigilance, verbal learning] and -0.40 [0.18, 0.64] [working memory]), except reasoning/problem solving. CHR-P and CHR-NP performed significantly worse than HC (except visual learning, working memory in CHR-NP). Compared to CHR-NP, CHR-P performed significantly worse in 6 of 8 domains (from -0.24 [-0.44, -0.03] [attention/vigilance] to -0.49 [-0.76, -0.22] [verbal learning] and -0.54 [-0.80, -0.27] [visual learning]), without differences in reasoning/problem solving and working memory. Three individual tests (Rey-Osterrieth Complex Figure Test, Verbal Fluency Test/Controlled Oral Word Association Test, and California Verbal Learning Test) discriminated the best between CHR-P and CHR-NP (-0.49 [-0.82, -0.16], -0.45 [-0.86, -0.03], and -0.40 [-0.80, -0.00], respectively). CONCLUSIONS: CHR has mild to moderate globally distributed neuropsychological performance deficits that lie between FEP and HCs. Neuropsychological performance deficits are greater in CHR-P than in CHR-NP, but they overlap, reducing their current utility for risk stratification.

Health Technology Intervention After Hospitalization for Schizophrenia: Service Utilization and User Satisfaction.

OBJECTIVE: The authors examined patients' acceptance of the Health Technology Program (HTP), an integrative approach to relapse prevention after hospitalization of adults with schizophrenia or related disorders. The program combines use of digital tools with support from a mental health technology coach (MHTC). METHODS: Patients with schizophrenia spectrum disorders received six months of treatment that began within 60 days of a psychiatric hospitalization and included the development of a personalized relapse prevention plan, three digital tools, and contacts with MHTCs. RESULTS: A total of 200 patients (mean±SD age=34.6±10.6 years) had 28.2±2.0 contacts with the MHTC that lasted 38.3±14.2 minutes. The most discussed topic was case management (52%), and digital tools were discussed in 45% of meetings. Altogether, 87% of patients used at least one of the digital tools, with 96% of patients rating the HTP as satisfying to at least some extent. CONCLUSIONS: These data suggest very high acceptance of the HTP, a program that integrates available human support with digital tools.

Attenuated psychotic and basic symptom characteristics in adolescents with ultra-high risk criteria for psychosis, other non-psychotic psychiatric disorders and early-onset psychosis.

While attenuated psychotic symptoms (APS) and basic symptoms (BS) are the main current predictors of psychosis in adults, studies in adolescents are scarce. Thus, we (1) described the prevalence and severity of positive, negative, disorganization, general, and basic symptoms in adolescent patients at ultra-high risk for psychosis (UHR), with other non-psychotic psychiatric disorders (PC) and with early-onset psychosis (EOP); and (2) investigated BS criteria in relation to UHR criteria. Sixty-nine 12-18-year-old adolescents (15.3 ± 1.7 years, female = 58.0 %, UHR = 22, PC = 27, EOP = 20) were assessed with the structured interview for prodromal syndromes (SIPS) and the schizophrenia proneness instrument-child and youth version (SPI-CY). Despite similar current and past 12-month global functioning, both UHR and EOP had significantly higher SIPS total and subscale scores compared to PC, with moderate-large effect sizes. Expectedly, UHR had significantly lower SIPS positive symptom scores than EOP, but similar SIPS negative, disorganized, and general symptom scores. Compared to PC, both EOP and UHR had more severe basic thought and perception disturbances, and significantly more often met cognitive disturbances criteria (EOP = 50.0 %, UHR = 40.9 %, PC = 14.8 %). Compared to UHR, both EOP and PC significantly less often met cognitive-perceptive BS criteria (EOP = 35.0 %, UHR = 68.2 %, PC = 25.9 %). BS were significantly more prevalent in both EOP and UHR than PC, and UHR were similar to EOP in symptom domains. Given the uncertain outcome of adolescents at clinical high-risk of psychosis, future research is needed to determine whether the combined assessment of early subjective disturbances with observable APS can improve the accuracy of psychosis prediction.

Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia.

OBJECTIVE: This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia. METHODS: Nine outpatients and 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, and Bluetooth) collected behavioral data and ascertained the patients' location, activity, and exposure to human speech as they went about their day. Participants rated this approach by completing usability and acceptability measures. RESULTS: Sensing successfully captured individuals' activity, time spent proximal to human speech, and time spent in various locations. Participants felt comfortable using the sensing system (95%), and most were interested in receiving feedback (65%) and suggestions (65%). Approximately 20% reported that sensing made them upset. One-third of inpatients were concerned about their privacy, but no outpatients expressed this concern. CONCLUSIONS: Mobile behavioral sensing was a feasible, acceptable, and informative approach for data collection among outpatients and inpatients with schizophrenia.

Frequency and correlates of DSM-5 attenuated psychosis syndrome in a sample of adolescent inpatients with nonpsychotic psychiatric disorders.

OBJECTIVES: DSM-5 conceptualized attenuated psychosis syndrome (APS) as self-contained rather than as a risk syndrome, including it under "Conditions for Further Study," but also as a codable/billable condition in the main section. Since many major mental disorders emerge during adolescence, we assessed the frequency and characteristics of APS in adolescent psychiatric inpatients. METHODS: Consecutively recruited adolescents hospitalized for nonpsychotic disorders (September 2009-May 2013) were divided into APS youth versus non-APS youth, based on the Structured Interview of Prodromal Syndromes (SIPS) and according to DSM-5 criteria, and compared across multiple characteristics. RESULTS: Of 89 adolescents (mean ± SD age = 15.1 ± 1.6 years), 21 (23.6%) had APS. Compared to non-APS, APS was associated with more comorbid disorders (2.7 ± 1.0 vs 2.2 ± 1.3), major depressive disorder (61.9% vs 27.9%), oppositional defiant disorder/conduct disorder (52.4% vs 25.0%), and personality disorder traits (57.1% vs 7.4%, the only diagnostic category surviving Bonferroni correction). APS youth were more severely ill, having higher SIPS total positive, negative, and general symptoms; Brief Psychiatric Rating Scale total and positive scores; depression and global illness ratings; and lower Global Assessment of Functioning (GAF). Conversely, Young Mania Rating Scale scores, suicidal behavior, prescribed psychotropic medications, and mental disorder awareness were similar between APS and non-APS groups. In multivariable analysis, lowest GAF score in the past year (odds ratio [OR] = 51.15; 95% confidence interval [CI], 2.46-2,439.0) and social isolation (OR = 27.52; 95% CI, 3.36-313.87) were independently associated with APS (r(2) = 0.302, P < .0001). Although psychotic disorders were excluded, 65.2% (APS = 57.1%, non-APS = 67.7%, P = .38) received antipsychotics. CONCLUSION: One in 4 nonpsychotic adolescent inpatients met DSM-5 criteria for APS. APS youth were more impaired, showing a complex entanglement with a broad range of psychiatric symptoms and disorders, including depression, impulse-control, and, especially, emerging personality disorders. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01383915.

The Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P): description and validation in a psychiatric sample and healthy controls.

OBJECTIVE: The aim of the present study was to investigate the psychometric properties of the Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P), the first specific interview for emerging bipolar disorder (BD) symptoms. METHODS: A total of 205 youth aged 12-23 years and/or their caregivers underwent BPSS-P interviews: 129 patients with mood spectrum disorders [depression spectrum disorder (n = 77), mood disorder not otherwise specified (NOS) (n = 27), BD-NOS (n = 14), bipolar I disorder (BD-I)/bipolar II disorder (BD-II)/cyclothymia (n = 11), 34 with non-mood spectrum disorders, and 42 healthy controls (HCs)]. We used Cronbach's α to assess internal consistency; intra-class correlation (ICC) for inter-rater reliability; Spearman's rho for convergent validity with the Young Mania Rating Scale (YMRS), General Behavior Inventory-10-item Mania Form (GBI-M-10), and Cyclothymic-Hypersensitive Temperament (CHT) scale; and analysis of variance for discriminatory power between diagnostic groups. RESULTS: Internal consistency was good to very good for the BPSS-P Mania (Cronbach's α = 0.87), Depression (Cronbach's α = 0.89), and General Symptom indices (Cronbach's α = 0.74). Inter-rater reliability was high for the BPSS-P Total score (ICC = 0.939), and BPSS-P Mania (ICC = 0.934), Depression (ICC = 0.985), and General (ICC = 0.981) indices. Convergent validity was large (ρ ≥ 0.50) between the BPSS-P Mania Index and YMRS, GBI-M-10, and CHT; BPSS-P Depression Index and Montgomery-Åsberg Depression Rating Scale (MADRS) and CHT; and BPSS-P General Index and GBI-M-10 and CHT. Expectedly, convergent validity was small (ρ = 0.10 to < 0.30) between the BPSS-P Mania Index and MADRS, and BPSS-P Depression Index and YMRS. Furthermore, the BPSS-P and its subscales discriminated each patient group from HCs and from non-mood spectrum patients (except for the BPSS-P General Index). Moreover, the BPSS-P Total score discriminated BD-I/BD-II/cyclothymia from depression spectrum patients, and the BPSS-Mania Index differentiated all three bipolar spectrum groups from depression spectrum patients. CONCLUSIONS: The BPSS-P has good to excellent psychometric properties. Its use across multiple settings and predictive validity requires further investigation.

Type and duration of subsyndromal symptoms in youth with bipolar I disorder prior to their first manic episode.

OBJECTIVES: The aim of the present study was to systematically evaluate the prodrome to mania in youth. METHODS: New-onset/worsening symptoms/signs of ≥ moderate severity preceding first mania were systematically assessed in 52 youth (16.2 ± 2.8 years) with a research diagnosis of bipolar I disorder (BD-I). Youth and/or caregivers underwent semi-structured interviews, using the Bipolar Prodrome Symptom Scale-Retrospective. RESULTS: The mania prodrome was reported to start gradually in most youth (88.5%), with either slow (59.6%) or rapid (28.8%) deterioration, while a rapid-onset-and-deterioration prodrome was rare (11.5%). The manic prodrome, conservatively defined as requiring ≥ 3 symptoms, lasted 10.3 ± 14.4 months [95% confidence interval (CI): 6.3-14.4], being present for ≥ 4 months in 65.4% of subjects. Among prodromal symptoms reported in ≥ 50% of youth, three were subthreshold manic in nature (irritability: 61.5%, racing thoughts: 59.6%, increased energy/activity: 50.0%), two were nonspecific (decreased school/work functioning: 65.4%, mood swings/lability: 57.7%), and one each was depressive (depressed mood: 53.8%) or subthreshold manic/depressive (inattention: 51.9%). A decreasing number of youth had ≥ 1 (84.6%), ≥ 2 (48.1%), or ≥ 3 (26.9%) 'specific' subthreshold mania symptoms (i.e., elation, grandiosity, decreased need for sleep, racing thoughts, or hypersexuality), lasting 9.5 ± 14.9 months (95% CI: 5.0-14.0), 3.5 ± 3.5 months (95% CI: 2.0-4.9), and 3.0 ± 3.2 months (95% CI: 1.0-5.0) for ≥ 1, ≥ 2, or ≥ 3 specific symptoms, respectively. CONCLUSIONS: In youth with BD-I, a relatively long, predominantly slow-onset mania prodrome appears to be common, including subthreshold manic and depressive psychopathology symptoms. This suggests that early clinical identification and intervention may be feasible in bipolar disorder. Identifying biological markers associated with clinical symptoms of impending mania may help to increase chances for early detection and prevention before full mania.

Suicidal ideation and suicide attempts in children and adolescents with bipolar disorder: a systematic review of prevalence and incidence rates, correlates, and targeted interventions.

OBJECTIVE: Pediatric bipolar disorder (PBD) is associated with poor outcomes, including suicidal ideation (SI) and suicide attempt (SA). However, frequencies and risk factors of SI/SA and targeted intervention trials for SI/SA in PBD have not been reviewed systematically. METHODS: We conducted a systematic PubMed review, searching for articles reporting on prevalences/incidences, correlates and intervention studies targeting SI/SA in PBD. Weighted means were calculated, followed by an exploratory meta-regression of SI and SA correlates. RESULTS: Fourteen studies (n = 1595), in which 52.1% of patients were male and the mean age was 14.4 years, reported data on SI/SA prevalence (N = 13, n = 1508) and/or correlates (N = 10, n = 1348) in PBD. Weighted mean prevalences were: past SI = 57.4%, past SA = 21.3%, current SI = 50.4%, and current SA = 25.5%; incidences (mean 42 months of follow-up) were: SI = 14.6% and SA = 14.7%. Regarding significant correlates, SI (N = 3) was associated with a higher percentage of Caucasian race, narrow (as opposed to broad) PBD phenotype, younger age, and higher quality of life than SA. Significant correlates of SA (N = 10) included female sex, older age, earlier illness onset, more severe/episodic PBD, mixed episodes, comorbid disorders, past self-injurious behavior/SI/SA, physical/sexual abuse, parental depression, family history of suicidality, and poor family functioning. Race, socioeconomic status, living situation, and life events were not clearly associated with SA. In a meta-regression analysis, bipolar I disorder and comorbid attention-deficit hyperactivity disorder were significantly associated with SA. Only one open label study targeting the reduction of SI/SA in PBD was identified. CONCLUSIONS: SI and SA are very common but under-investigated in PBD. Exploration of predictors and protective factors is imperative for the establishment of effective preventive and intervention strategies, which are urgently needed.

Personal stigma in schizophrenia spectrum disorders: a systematic review of prevalence rates, correlates, impact and interventions.

A systematic electronic PubMed, Medline and Web of Science database search was conducted regarding the prevalence, correlates, and effects of personal stigma (i.e., perceived and experienced stigmatization and self-stigma) in patients with schizophrenia spectrum disorders. Of 54 studies (n=5,871), published from 1994 to 2011, 23 (42.6%) reported on prevalence rates, and 44 (81.5%) reported on correlates and/or consequences of perceived or experienced stigmatization or self-stigma. Only two specific personal stigma intervention studies were found. On average, 64.5% (range: 45.0-80.0%) of patients perceived stigma, 55.9% (range: 22.5-96.0%) actually experienced stigma, and 49.2% (range: 27.9-77.0%) reported alienation (shame) as the most common aspect of self-stigma. While socio-demographic variables were only marginally associated with stigma, psychosocial variables, especially lower quality of life, showed overall significant correlations, and illness-related factors showed heterogeneous associations, except for social anxiety that was unequivocally associated with personal stigma. The prevalence and impact of personal stigma on individual outcomes among schizophrenia spectrum disorder patients are well characterized, yet measures and methods differ significantly. By contrast, research regarding the evolution of personal stigma through the illness course and, particularly, specific intervention studies, which should be conducted utilizing standardized methods and outcomes, are sorely lacking.

The significance of at-risk or prodromal symptoms for bipolar I disorder in children and adolescents.

While in the early identification and intervention of psychosis-specific instruments and risk criteria have been generated and validated, research into indicated preventive strategies for bipolar I disorder (BD I) has only recently gained momentum. As the first signs of BD I often start before adulthood, such efforts are especially important in the vulnerable pediatric population. Data are summarized regarding the presence and nature of potentially prodromal, that is, subsyndromal, symptoms prior to BD I, defined by first-episode mania, focusing on pediatric patients. Research indicates the possibility of early identification of youth at clinical high risk for BD. Support for this proposition comes from retrospective studies of BD I patients, as well as prospective studies of community samples, offspring of BD I subjects, youth with depressive disorders, and patients at high risk for psychosis or with bipolar spectrum disorders without lifetime history of mania. These data provide essential insight into potential signs and symptoms that may enable presyndromal identification of BD I in youth. However, except for offspring studies, broader prospective approaches that focus on youth at clinical high risk for BD I and on developing specific interviews and (or) rating scales and risk criteria are mostly missing, or in their early stage. More work is needed to determine valid and sufficiently specific clinical high-risk criteria, to distinguish risk factors, endophenotypes, and comorbidities from prodromal symptomatology, and to develop phase-specific interventions that titrate the risk of intervention to the risk of transition to mania and to functional impairment or distress. Moreover, studies are needed that determine potential differences in prodromal symptoms and trajectories between children, adolescents, and adults, and the best phase-specific interventions.

Psychoeducation in subjects at elevated risk for psychosis--a critical review.

Pychoeducation is a useful and required intervention in subjects with elevated-risk state of psychosis. Psychoeducation is, however, an under-investigated area in the field of early identification and prevention. Psychoeducation with this particular patient group needs to adapt to several unique features, e.g. the diagnostic uncertainty ("say it only in subjunctive") and problems of stigmatization. More research regarding the subjective psychoeducational needs of individuals at elevated risk for psychosis as well as more explicit provision and evaluation of psychoeducation in the elevated-risk state is strongly desirable.