White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls - exploring associations with disease course and polygenic risk.

Patients with bipolar disorder (BD) show alterations in both gray matter volume (GMV) and white matter (WM) integrity compared with healthy controls (HC). However, it remains unclear whether the phenotypically distinct BD subtypes (BD-I and BD-II) also exhibit brain structural differences. This study investigated GMV and WM differences between HC, BD-I, and BD-II, along with clinical and genetic associations. N = 73 BD-I, n = 63 BD-II patients and n = 136 matched HC were included. Using voxel-based morphometry and tract-based spatial statistics, main effects of group in GMV and fractional anisotropy (FA) were analyzed. Associations between clinical and genetic features and GMV or FA were calculated using regression models. For FA but not GMV, we found significant differences between groups. BD-I patients showed lower FA compared with BD-II patients (ptfce-FWE = 0.006), primarily in the anterior corpus callosum. Compared with HC, BD-I patients exhibited lower FA in widespread clusters (ptfce-FWE < 0.001), including almost all major projection, association, and commissural fiber tracts. BD-II patients also demonstrated lower FA compared with HC, although less pronounced (ptfce-FWE = 0.049). The results remained unchanged after controlling for clinical and genetic features, for which no independent associations with FA or GMV emerged. Our findings suggest that, at a neurobiological level, BD subtypes may reflect distinct degrees of disease expression, with increasing WM microstructure disruption from BD-II to BD-I. This differential magnitude of microstructural alterations was not clearly linked to clinical and genetic variables. These findings should be considered when discussing the classification of BD subtypes within the spectrum of affective disorders.

Changes in patient care through flexible and integrated treatment programs in German psychiatric hospitals: meta-analyses based on a series of controlled claims-based cohort studies.

BACKGROUND: Global treatment budgets, i.e. predefined budgets for patients treated in hospital independent of the setting within the hospital, together with flexible and integrated treatment (FIT) have been introduced in some German psychiatric hospitals since 2013. We investigated pooled changes in inpatient, day-care, outpatient treatment, and continuity of care for patients with mental disorders in 12 FIT-hospitals. METHODS: We conducted a series of 12 controlled cohort studies regarding FIT hospitals using anonymized patient claims data from more than 70 German statutory health insurance funds. Each study compared one FIT-hospital to matched patients from equivalent non-FIT-hospitals (routine care). We included only those patients without treatment in the respective hospital within two years prior to first hospital treatment (either FIT or routine care). We contrasted results between the year prior to with the first and second year after patient's first treatment (treatment continuity: only group comparison) using multivariate multi-level models. To approximate the difference-in-difference effect in the meta-analysis, we used the interaction terms group (FIT hospital vs. routine care) x time (year before vs. first or second patient year after study inclusion) in the Poisson models. RESULTS: The 12 studies included 36,069 patients with 2,358 patients from a Department of child and adolescent psychiatry. The pooled effect revealed a 5.1 days lower increase in inpatient treatment in FIT-hospitals during the first patient year compared to routine care. Results were statistically significant for adult care FIT-hospitals but not for child and adolescent FIT-hospitals. Utilization of day-care treatment increased more in most FIT-hospitals during the first year, while outpatient contacts increased in some and decreased in others. The odds of treatment continuity increased by 1.4 in FIT-hospitals compared to non-FIT-hospitals. CONCLUSIONS: Global treatment budgets lead to the intended changes in mental health care in the majority of FIT-hospitals compared to routine care in this large real-world evidence study from Germany. For child and adolescent psychiatry, more evidence is needed to draw firm conclusions. TRIAL REGISTRATION: This study was registered in the database "Health Services Research Germany" (trial number: VVfD_EVA64_15_003713).

Prediction of estimated risk for bipolar disorder using machine learning and structural MRI features.

BACKGROUND: Individuals with bipolar disorder are commonly correctly diagnosed a decade after symptom onset. Machine learning techniques may aid in early recognition and reduce the disease burden. As both individuals at risk and those with a manifest disease display structural brain markers, structural magnetic resonance imaging may provide relevant classification features. METHODS: Following a pre-registered protocol, we trained linear support vector machine (SVM) to classify individuals according to their estimated risk for bipolar disorder using regional cortical thickness of help-seeking individuals from seven study sites (N = 276). We estimated the risk using three state-of-the-art assessment instruments (BPSS-P, BARS, EPIbipolar). RESULTS: For BPSS-P, SVM achieved a fair performance of Cohen's κ of 0.235 (95% CI 0.11-0.361) and a balanced accuracy of 63.1% (95% CI 55.9-70.3) in the 10-fold cross-validation. In the leave-one-site-out cross-validation, the model performed with a Cohen's κ of 0.128 (95% CI -0.069 to 0.325) and a balanced accuracy of 56.2% (95% CI 44.6-67.8). BARS and EPIbipolar could not be predicted. In post hoc analyses, regional surface area, subcortical volumes as well as hyperparameter optimization did not improve the performance. CONCLUSIONS: Individuals at risk for bipolar disorder, as assessed by BPSS-P, display brain structural alterations that can be detected using machine learning. The achieved performance is comparable to previous studies which attempted to classify patients with manifest disease and healthy controls. Unlike previous studies of bipolar risk, our multicenter design permitted a leave-one-site-out cross-validation. Whole-brain cortical thickness seems to be superior to other structural brain features.

Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife study.

Early identification and intervention of individuals with an increased risk for bipolar disorder (BD) may improve the course of illness and prevent long­term consequences. Early-BipoLife, a multicenter, prospective, naturalistic study, examined risk factors of BD beyond family history in participants aged 15-35 years. At baseline, positively screened help-seeking participants (screenBD at-risk) were recruited at Early Detection Centers and in- and outpatient depression and attention-deficit/hyperactivity disorder (ADHD) settings, references (Ref) drawn from a representative cohort. Participants reported sociodemographics and medical history and were repeatedly examined regarding psychopathology and the course of risk factors. N = 1,083 screenBD at-risk and n = 172 Ref were eligible for baseline assessment. Within the first two years, n = 31 screenBD at-risk (2.9 %) and none of Ref developed a manifest BD. The cumulative transition risk was 0.0028 at the end of multistep assessment, 0.0169 at 12 and 0.0317 at 24 months (p = 0.021). The transition rate with a BD family history was 6.0 %, 4.7 % in the Early Phase Inventory for bipolar disorders (EPIbipolar), 6.6 % in the Bipolar Prodrome Interview and Symptom Scale-Prospective (BPSS-FP) and 3.2 % with extended Bipolar At-Risk - BARS criteria). In comparison to help-seeking young patients from psychosis detection services, transition rates in screenBD at-risk participants were lower. The findings of Early-BipoLife underscore the importance of considering risk factors beyond family history in order to improved early detection and interventions to prevent/ameliorate related impairment in the course of BD. Large long-term cohort studies are crucial to understand the developmental pathways and long-term course of BD, especially in people at- risk.

[How Successful is the Participation of People with Mental Illness and Family Members in the Development of Evidence- and Consensus-Based Clinical Practice Guidelines? Results of a Survey in Psychiatry]. / Wie gelingt die Einbindung von Betroffenen- und Angehörigenvertreter:innen in die Entwicklung von evidenz- und konsensbasierten Behandlungsleitlinien? Ergebnisse einer Umfrage im Fachbereich Psychiatrie.

OBJECTIVE: The study examines how successful the participation of people with mental illness and family members is currently in the development of psychiatric guidelines. METHODS: Survey results of N=561 (Response 37%) guideline developers are analyzed. RESULTS: Involvement of affected individuals succeeds more often than that of family members (61% vs. 55%). 68% felt that this participation was central to successful guideline development. 51% perceived discrepancies between empirical evidence and experience perspective. 33-36% perceived a lack of appreciation of experience expertise, 37% an insufficient representation and 46% an inequality in consensus building. 45% did not see barriers effectively removed. CONCLUSION: There remain challenges in the participation of people with mental illness and family members. There is an increasing awareness that their participation is central.

Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders.

BACKGROUND: Data on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of results. We sought to ascertain the degree of agreement between self-reports and statutory health insurance (SHI) fund claims data from patients with mental disorders. METHODS: Claims data from six German SHI and self-reports were obtained along with a cost-effectiveness analysis performed as a part of a controlled prospective multicenter cohort study conducted in 18 psychiatric hospitals in Germany (PsychCare), including patients with pre-defined psychiatric disorders. Self-reports were collected using the German adaption of the Client Sociodemographic and Service Receipt Inventory (CSSRI) questionnaire with a 6-month recall period. Data linkage was performed using a unique pseudonymized identifier. Missing responses were coded as non-use for all analyses. HCU was calculated for inpatient and outpatient care, day-care services, home treatment, and pharmaceuticals. Concordance was measured using Cohen's Kappa (κ) and intraclass correlation coefficient (ICC). Regression approaches were used to investigate the effect of independent variables on the agreements. RESULTS: In total 274 participants (mean age 47.8 [SD = 14.2] years; 47.08% women) were included in the analysis. No significant differences were observed between the linked and unlinked patients in terms of baseline characteristics. Total agreements values were 63.9% (κ = 0.03; PABAK = 0.28) for outpatient contacts, 69.3% (κ = 0.25; PABAK = 0.39) for medication use, 81.0% (κ = 0.56; PABAK = 0.62) for inpatient days and 86.1% (κ = 0.67; PABAK = 0.72) for day-care services. There was varied quantitative agreement between data sources, with the poorest agreement for outpatient care (ICC [95% CI] = 0.22 [0.10-0.33]) and the best for psychiatric day-care services (ICC [95% CI] = 0.72 [0.66-0.78]). Marital status and time since first treatment positively affected the chance of agreement on utilization of outpatient services. CONCLUSIONS: Although there were high levels of absolute agreement, the measures of concordance between administrative records and self-reports were generally minimal to moderate. Healthcare investigations should consider using linked or at least different data sources to estimate HCU for specific utilization areas, where unbiased information can be expected. TRIAL REGISTRATION: This study was part of the multi-center controlled PsychCare trial (German Clinical Trials Register No. DRKS00022535; Date of registration: 2020-10-02).

Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years.

INTRODUCTION: Longitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the widespread acceptance of home computers in the early 2000s, automated tools were developed for patient mood charting, such as ChronoRecord, a software validated by patients with bipolar disorder. The purpose of this study was to summarize the daily mood, sleep, and medication data collected with ChronoRecord, and highlight some of the key research findings. Lessons learned from implementing a computerized tool for patient self-reporting are also discussed. METHODS: After a brief training session, ChronoRecord software for daily mood charting was installed on a home computer and used by 609 patients with affective disorders. RESULTS: The mean age of the patients was 40.3±11.8 years, a mean age of onset was 22±11.2 years, and 71.4% were female. Patients were euthymic for 70.8% of days, 15.1% had mild depression, 6.6% had severe depression, 6.6% had hypomania, and 0.8% had mania. Among all mood groups, 22.4% took 1-2 medications, 37.2% took 3-4 medications, 25.7 took 5-6 medications, 11.6% took 7-8 medications, and 3.1% took >8 medications. CONCLUSION: The daily mood charting tool is a useful tool for increasing patient involvement in their care, providing detailed patient data to the physician, and increasing understanding of the course of illness. Longitudinal data from patient mood charting was helpful in both clinical and research settings.

Experiencing (Shared) Decision Making: Results from a Qualitative Study of People with Mental Illness and Their Family Members.

(1) Background: There is a fundamental shift in healthcare toward shared decision making (SDM). This study explores SDM from the perspective of individuals affected by mental illness and their family members and investigates factors which promote and hinder the process. (2) Methods: We conducted N = 15 telephone interviews (n = 4 adults affected by mental illness, n = 5 family members, n = 6 both applicable, the majority reporting experiences with affective and anxiety disorders). Data were recorded, transcribed, and analyzed according to procedures established by Mayring. (3) Results: Individuals affected by mental illness and their family members have a strong desire to be involved in treatment decisions and to participate in finding a diagnosis. Often these stakeholders are denied the opportunity to participate; sometimes enabling behaviors impede participation. The stigmatization of mental illnesses is a major barrier. There are also structural barriers to SDM within the healthcare system. Peer support, self-help associations, and psychosocial counseling services are important to empowering individuals and promoting SDM. (4) Conclusions: SDM has the potential to improve the quality of mental healthcare. Barriers can be mitigated and new approaches for interventions in the psychiatric sector have been identified. This study has also shown the importance of understanding SDM as a process that should begin at the diagnostic phase.

The associations of Positive and Negative Valence Systems, Cognitive Systems and Social Processes on disease severity in anxiety and depressive disorders.

Background: Anxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders. Methods: Within the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affective disorders: Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP). Results: The results confirmed a transdiagnostic relationship for all four domains, as we found significant main effects on disease severity within domain-specific models (PVS: ß = -0.35; NVS: ß = 0.39; CS: ß = -0.12; SP: ß = -0.32). We also found three significant interaction effects with main diagnosis showing a disease-specific association. Limitations: The cross-sectional study design prevents causal conclusions. Further limitations include possible outliers and heteroskedasticity in all regression models which we appropriately controlled for. Conclusion: Our key results show that symptom burden in anxiety and depressive disorders is associated with latent RDoC indicators in transdiagnostic and disease-specific ways.

Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei Volumes.

The pathophysiology of bipolar disorder (BD) remains mostly unclear. Yet, a valid biomarker is necessary to improve upon the early detection of this serious disorder. Patients with manifest BD display reduced volumes of the hippocampal subfields and amygdala nuclei. In this pre-registered analysis, we used structural MRI (n = 271, 7 sites) to compare volumes of hippocampus, amygdala and their subfields/nuclei between help-seeking subjects divided into risk groups for BD as estimated by BPSS-P, BARS and EPIbipolar. We performed between-group comparisons using linear mixed effects models for all three risk assessment tools. Additionally, we aimed to differentiate the risk groups using a linear support vector machine. We found no significant volume differences between the risk groups for all limbic structures during the main analysis. However, the SVM could still classify subjects at risk according to BPSS-P criteria with a balanced accuracy of 66.90% (95% CI 59.2-74.6) for 10-fold cross-validation and 61.9% (95% CI 52.0-71.9) for leave-one-site-out. Structural alterations of the hippocampus and amygdala may not be as pronounced in young people at risk; nonetheless, machine learning can predict the estimated risk for BD above chance. This suggests that neural changes may not merely be a consequence of BD and may have prognostic clinical value.

[Challenges and current approaches in the development of psychiatric living guidelines in Germany]. / Herausforderungen und aktuelle Ansätze der Entwicklung psychiatrischer Living Guidelines in Deutschland.

Outdated guidelines can cause inadequate care. To counter this problem a dynamic updating process for guidelines is being internationally discussed (living guidelines). This process has specific challenges. The rhythm of updating has to be determined and a priori criteria have to be defined, which indicate that a substantial change of the medical practice is needed in order to then update individual recommendations. Digital tools have to be identified that can support a dynamic updating. Their (further) development has to be oriented to the specific requirements and needs of the trialogically composed guideline development teams. Recommendations have to be examined from the user perspective. The current guideline development methods that are still divergent, have to be harmonized and specific needs with respect to the cross-linking of guidelines have to be taken into account. The German Association for Psychiatry, Psychotherapy and Psychosomatics (DGPPN) supports and accompanies scientific projects dealing with the challenges of the dynamics of guideline development. From the first results of "Guide2Guide", a project funded by the Innovation Fund, it can be summarized that the development of living guidelines is a complex dynamic process that has only just started internationally and in Germany. It demands a special engagement of the guideline developers including representatives of patients and relatives, to responsibly work long term and flexibly. Digital tools can be useful in various process steps but at present they still have to be meaningfully linked into the process. Central elements of the development of S3 guidelines will continue to require substantial working time of the experts in the trialogue. In order for living guidelines to be actually used dissemination and implementation have to be integrated into the dynamic process.

[Concepts to support dynamic updating processes of guidelines and their practical implementation-Systematic literature review]. / Konzepte zur Unterstützung dynamischer Aktualisierungsprozesse von Leitlinien und ihre Implementierung in der Praxis ­ systematische Literaturrecherche.

BACKGROUND: Clinical practice guidelines (CPG), which are crucial for evidence-based healthcare, should be kept up to date, especially on topics where emerging evidence could modify one of the recommendations with implications for the healthcare service; however, an updating process, which is practicable for guideline developers as well as users represents a challenge. OBJECTIVE: This article provides an overview of the currently discussed methodological approaches for the dynamic updating of guidelines and systematic reviews. MATERIAL AND METHODS: As part of a scoping review, a literature search was conducted in the databases MEDLINE, EMBASE (via Ovid), Scopus, Epistemonikos, medRxiv, as well as in study and guideline registers. Concepts on the dynamic updating of guidelines and systematic reviews or dynamically updated guidelines and systematic reviews or their protocols published in English or German were included. RESULTS: The publications included most frequently described the following main processes that must be adapted in dynamic updating processes 1) the establishment of continuously working guideline groups, 2) networking between guidelines, 3) the formulation and application of prioritization criteria, 4) the adaptation of the systematic literature search and 5) the use of software tools for increased efficiency and digitalization of the guidelines. CONCLUSION: The transformation to living guidelines requires a change in the needs for temporal, personnel and structural resources. The digitalization of guidelines and the use of software to increase efficiency are necessary instruments, but alone do not guarantee the realization of living guidelines. A process in which dissemination and implementation must also be integrated is necessary. Standardized best practice recommendations on the updating process are still lacking.

[Expectations of guideline developers on living guidelines]. / Erwartungen der Leitlinienentwickler*innen an "living guidelines".

BACKGROUND: Guidelines are central pillars of high-quality care and care planning. The quality requirements for the development of guidelines and the associated effort are very high. Therefore, more efficient approaches are being forced. OBJECTIVE: The opportunities and challenges in the introduction of a dynamic updating concept within the framework of the digitalization of guidelines were explored from the perspective of guideline developers in the field of psychiatry. This perspective should be included in the implementation. MATERIAL AND METHODS: Between January and May 2022 a cross-sectional survey was conducted among guideline developers (N = 561, response 39%) based on a questionnaire developed and tested in advance. Data were analyzed descriptively. RESULTS: A total of 60% were familiar with the concept of living guidelines. A large proportion endorsed a dynamic updating (83%) and digitalization (88%) of guidelines; however, various challenges are associated with the concept of living guidelines: the risk of inflationary changes (34%), the need for continuity of all actors (53%), involvement of patient and family representatives (37%) and definition of criteria regarding the decision what to change (38%). The vast majority (85%) thought it necessary that guideline development should be followed by implementation projects. CONCLUSION: German guideline developers are very receptive regarding the implementation of living guidelines; however, they named numerous challenges, which need to be addressed in this approach.

Health-related quality of life among patients with treated alcohol use disorders, schizophreniform disorders or affective disorders and the influence of flexible and integrative psychiatric care models in Germany (PsychCare).

Introduction: Flexible and integrated treatment options (FIT) have been established in German psychiatric hospitals to enhance continuous and patient-centered treatment for patients with mental disorders. We hypothesized that patients with experience in FIT treatment showed higher health-related quality of life (HRQoL) and comparable symptom severity compared with patients treated as usual (TAU). Further, we expected that some sub-dimensions of HRQoL determined HRQoL results clearer than others, while certain factors influenced HRQoL and symptom severity stronger in the FIT compared to the TAU group. In addition, we hypothesized that HRQoL is correlated with symptom severity. Methods: We undertook a controlled, prospective, multicenter cohort study (PsychCare) conducted in 18 psychiatric hospitals in Germany, using the questionnaires Quality of Well Being Self-Administered (QWB-SA) (HRQoL) and Symptom-Checklist-K-9 (SCL-K-9) (symptom severity) at recruitment (measurement I) and 15 months later (measurement II). We assessed overall HRQoL (measured in health utility weights (HUW) and symptom severity score for patients from FIT and TAU treatment. We investigated the QWB-SA dimensions and separated the results by diagnosis. We used beta regressions to estimate the effect of multiple co-variates on both outcomes. To investigate the correlation between HRQoL and symptom severity, we used Pearson correlation. Results: During measurement I, 1,150 patients were recruited; while 359 patients participated during measurement II. FIT patients reported higher HUWs at measurement I compared to TAU patients (0.530 vs. 0.481, p = 0.003) and comparable HUWs at measurement II (0.581 vs. 0.586, p = 0.584). Symptom severity was comparable between both groups (I: 21.4 vs. 21.1, p = 0.936; II: 18.8 vs. 19.8, p = 0.122). We found lowest HRQoL and highest symptom severity in participants with affective disorders. HRQoL increased and symptom severity decreased over time in both groups. The QWB-SA dimension acute and chronic symptoms was associated with highest detriments in HRQoL. We identified risk/protective factors that were associated with lower quality of life and higher symptom severity in both groups. We confirmed that HRQoL was negatively associated with symptom severity. Discussion: Health-related quality of life (during hospital treatment) was higher among patients treated in FIT hospitals compared to patients in routine care, while symptom severity was comparable between both groups.

[Evidence-based inpatient psychotherapy of bipolar disorders]. / Evidenzbasierte stationäre Psychotherapie bipolarer Störungen.

BACKGROUND: Although psychotherapy is an important pillar in the treatment of bipolar disorders, alongside pharmacotherapy, non-drug and complementary procedures, there is no up to date evidence synthesis for inpatient psychotherapeutic treatment and work with caregivers. OBJECTIVE: To review and evaluate the current study situation on evidence-based inpatient psychotherapy for bipolar disorders. MATERIAL AND METHODS: 1.Summary of the evidence for inpatient psychotherapy in adolescents and adults with bipolar disorders from current review articles and guidelines (German S3 guidelines, Australian, Canadian, and British NICE guidelines). 2. Systematic literature search (PRISMA) in Cochrane trials and Medline (via PubMed). 2a. Identification of original articles using the following search term: "bipolar fft" OR "bipolar ipsrt" OR "bipolar cbt" OR "bipolar cognitive remediation" OR "bipolar psychotherapy inpatient". 2b. Screening of n = 942 publications on the following inclusion criteria: randomized controlled efficacy trials, inpatient treatment/recruitment in the inpatient setting, adolescent or adult patients with bipolar disorder or caregivers. RESULTS: The guidelines recommend a combination of pharmacotherapy and psychotherapy for the treatment of patients with bipolar disorders (so far no evidence-based presentation of inpatient psychotherapy). The results from reviews and original papers are heterogeneous. Recently described evidence-based psychotherapeutic approaches for inpatient treatment are family focused therapy (FFT), interpersonal and social rhythm therapy (IPSRT) and psychoeducation. CONCLUSION: Although the current evidence is heterogeneous and further systematic studies are necessary, the results indicate that psychotherapy should be started or initiated in the inpatient setting with inclusion of caregivers.

[Experience-based items of quality in psychiatric treatment: A first multivariate construct]. / Erlebensbezogene Qualitätsmerkmale für die psychiatrische Behandlung: Vorstellung eines vorläufigen multivariaten Konstrukts.

In the context of psychiatric care, user-generated measurement instruments may contribute to quality development and assurance. An explorative construct of experience-related quality components was developed in participative-collaborative cooperation that grasps the users' experiences of psychiatric care. After developing the components using a grounded theory methodology, they were quantified, and their interrelations were investigated using a multidimensional scaling method to explore their internal cohesion. The construct makes it possible to separate structural from interpersonal requirements of the quality components. It further indicated which components are more feasible for the home treatment setting, and which ones for an institutional setting. The components and the construct may be perceived as first steps towards the development of user-generated quality indicators; however, further validation steps are necessary.

Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis.

This study aimed to build on the relationship of well-established self-report and behavioral assessments to the latent constructs positive (PVS) and negative valence systems (NVS), cognitive systems (CS), and social processes (SP) of the Research Domain Criteria (RDoC) framework in a large transnosological population which cuts across DSM/ICD-10 disorder criteria categories. One thousand four hundred and thirty one participants (42.1% suffering from anxiety/fear-related, 18.2% from depressive, 7.9% from schizophrenia spectrum, 7.5% from bipolar, 3.4% from autism spectrum, 2.2% from other disorders, 18.4% healthy controls, and 0.2% with no diagnosis specified) recruited in studies within the German research network for mental disorders for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) were examined with a Mini-RDoC-Assessment including behavioral and self-report measures. The respective data was analyzed with confirmatory factor analysis (CFA) to delineate the underlying latent RDoC-structure. A revised four-factor model reflecting the core domains positive and negative valence systems as well as cognitive systems and social processes showed a good fit across this sample and showed significantly better fit compared to a one factor solution. The connections between the domains PVS, NVS and SP could be substantiated, indicating a universal latent structure spanning across known nosological entities. This study is the first to give an impression on the latent structure and intercorrelations between four core Research Domain Criteria in a transnosological sample. We emphasize the possibility of using already existing and well validated self-report and behavioral measurements to capture aspects of the latent structure informed by the RDoC matrix.

Demands on Health Information and Clinical Practice Guidelines for Patients from the Perspective of Adults with Mental Illness and Family Members: A Qualitative Study with In-Depth Interviews.

(1) Background: "Patient health information" promote health literacy. "Patient guidelines" as a sub group reflect the current evidence about illnesses and treatment options adapted to the needs of laypersons. Little is known about factors promoting and hindering their use by people affected by mental illness and their relatives. (2) Methods: Telephone interviews (N = 15; n = 4 adults affected by mental illness, n = 5 relatives, n = 6 both applicable) were conducted according to the Sørensen model of health literacy. Data were recorded, transcribed and content-analyzed following Mayring. (3) Results: Health information is used regularly by individuals affected by mental illness and their relatives, but "patient guidelines" are largely unknown. Yet, there is a great willingness to use them. Main barriers are a lack of statistical knowledge, the complexity of health-related topics and cognitive impairment sometimes accompanying mental illnesses. Target group-oriented adaptation as well as transparent and even-handed presentation of (dis-)advantages of treatment options can increase trust. (4) Conclusions: Health information and guidelines can help affected persons and relatives to make treatment decisions by conveying unbiased, up-to-date knowledge. Target group-specific adaptations should be made for psychiatric illnesses and features specific to mental illnesses compared to physical illnesses should be included. Clinical practice guidelines must be distributed more widely to increase their impact.

[Willingness to get vaccinated among hospital staff in Germany: What is the role of COVID-19 conspiracy assumptions?] / Impfbereitschaft von Krankenhauspersonal in Deutschland: Welche Rolle spielen Verschwörungsannahmen zu COVID-19?

BACKGROUND: A critical factor in achieving widespread immunity against COVID-19 is the willingness of previously unvaccinated individuals to get vaccinated. Medical staff play a key role in this, as they ensure healthcare during the pandemic and for many serve as a source of information about vaccinations. Among the factors that negatively influence the general willingness to get vaccinated are conspiracy assumptions and the spread of misinformation. OBJECTIVE: The willingness of hospital staff in Germany to get vaccinated and various influencing variables were examined to obtain indicators that could help increase the general willingness to get vaccinated. METHODS: Between January and June 2021, a voluntary and anonymous online survey conducted as part of the egePan joint project of the national network for university medicine (funded by the Federal Ministry of Education and Research) was used to assess the willingness to be vaccinated, individual social characteristics, the belief in conspiracy assumptions, and communication items in German hospitals. RESULTS: In comparison with the general population, physicians and scientific staff in particular indicated an increased willingness to get vaccinated. Conspiracy assumptions were not very widespread but most frequent among administrative and nursing staff. Conspiracy assumptions were negatively associated with the willingness to get vaccinated. Predictors for a higher willingness to get vaccinated were the perceived safety and effectiveness of vaccinations and a higher age. DISCUSSION: Since the perceived safety and effectiveness of vaccinations have a positive effect on the willingness to get vaccinated, educational work and transparent information transfer could counteract the spread of conspiracy assumptions and increase vaccination rates among hospital staff.