Dispositional factors in the explanation of symptoms of depression, anxiety, health anxiety and COVID-19 Phobia.

Maladaptive personality, the motivational systems, and intolerance of uncertainty play important roles in the statistical explanation of depression and anxiety. Here, we notably examined for the first time whether symptoms of depression, anxiety, health anxiety, and fear of COVID-19 share similar associations (e.g., variance explained) with these important dispositional dimensions. For this cross-sectional study, data from 1001 participants recruited in Germany (50% women; mean age = 47.26) were collected. In separate models, we examined the cross-sectional associations of the symptoms of depression, anxiety, health anxiety, and fear of COVID-19 with the Personality Inventory for DSM Short Form Plus scales, the Behavioral Inhibition System / Flight-Fight-Freeze System / Behavioral Activation System scales, and Intolerance of Uncertainty scales. Relative weight analyses were used to determine the within-model importance of the different scales in the prediction of the symptoms. All in all, our study showed that maladaptive personality and intolerance of uncertainty dimensions are more important sets of predictors of the studied outcomes (with which depressive and anxious symptomatology feature very similar associations) than are the motivational system dimensions. Within predictor sets, the scales with the most important predictors were: Negative Affectivity, the Behavioral Inhibition System, and Burden due to Intolerance of Uncertainty. Our findings highlight the relevance of focusing behavioral targets of psychotherapy on these within-set traits and identify potential research priorities (maladaptive personality and intolerance of uncertainty) in relation to the symptoms of interest.

Comparing the latent state-trait structure of the PANSS in cariprazine-medicated and placebo-controlled patients with acute schizophrenia.

After over a hundred years of research, the question whether the symptoms of schizophrenia are rather trait-like (being a relatively stable quality of individuals) or state-like (being substance to change) is still unanswered. To assess the trait and the state component in patients with acute schizophrenia, one group receiving antipsychotic treatment, the other not. Data from four phase II/III, 6-week, randomized, double-blind, placebo-controlled trials of similar design that included patients with acute exacerbation of schizophrenia were pooled. In every trial, one treatment group received a third-generation antipsychotic, cariprazine, and the other group placebo. To assess symptoms of schizophrenia, the Positive and Negative Symptom Scale (PANSS) was applied. Further analyses were conducted using the five subscales as proposed by Wallwork and colleagues. A latent state-trait (LST) model was developed to estimate the trait and state components of the total variance of the observed scores. All symptom dimensions behaved more in a trait-like manner. The proportions of all sources of variability changed over the course of the observational period, with a bent around weeks 3 and 4. Visually inspected, no major differences were found between the two treatment groups regarding the LST structure of symptom dimensions. This high proportion of inter-individual stability may represent an inherent part of symptomatology that behaves independently from treatment status.

Evaluating the clinical utility of an easily applicable prediction model of suicide attempts, newly developed and validated with a general community sample of adults.

BACKGROUND: A suicide attempt (SA) is a clinically serious action. Researchers have argued that reducing long-term SA risk may be possible, provided that at-risk individuals are identified and receive adequate treatment. Algorithms may accurately identify at-risk individuals. However, the clinical utility of algorithmically estimated long-term SA risk has never been the predominant focus of any study. METHODS: The data of this report stem from CoLaus|PsyCoLaus, a prospective longitudinal study of general community adults from Lausanne, Switzerland. Participants (N = 4,097; Mage = 54 years, range: 36-86; 54% female) were assessed up to four times, starting in 2003, approximately every 4-5 years. Long-term individual SA risk was prospectively predicted, using logistic regression. This algorithm's clinical utility was assessed by net benefit (NB). Clinical utility expresses a tool's benefit after having taken this tool's potential harm into account. Net benefit is obtained, first, by weighing the false positives, e.g., 400 individuals, at the risk threshold, e.g., 1%, using its odds (odds of 1% yields 1/(100-1) = 1/99), then by subtracting the result (400*1/99 = 4.04) from the true positives, e.g., 5 individuals (5-4.04), and by dividing the result (0.96) by the sample size, e.g., 800 (0.96/800). All results are based on 100 internal cross-validations. The predictors used in this study were: lifetime SA, any lifetime mental disorder, sex, and age. RESULTS: SA at any of the three follow-up study assessments was reported by 1.2%. For a range of seven a priori selected threshold probabilities, ranging between 0.5% and 2%, logistic regression showed highest overall NB in 97.4% of all 700 internal cross-validations (100 for each selected threshold probability). CONCLUSION: Despite the strong class imbalance of the outcome (98.8% no, 1.2% yes) and only four predictors, clinical utility was observed. That is, using the logistic regression model for clinical decision making provided the most true positives, without an increase of false positives, compared to all competing decision strategies. Clinical utility is one among several important prerequisites of implementing an algorithm in routine practice, and may possibly guide a clinicians' treatment decision making to reduce long-term individual SA risk. The novel metric NB may become a standard performance measure, because the a priori invested clinical considerations enable clinicians to interpret the results directly.

Just Not Enough: Utilization of Outpatient Psychotherapy Provided by Clinical Psychologists for Patients With Psychosis and Bipolar Disorder in Switzerland.

Treatment guidelines state that evidence-based psychotherapy is effective for people with psychosis and bipolar disorder and should be offered during every phase of the treatment process. However, research has indicated a lack of outpatient psychotherapeutic services for this patient group, for example, in the United States or Germany. We extend this finding by presenting survey data from Switzerland. We surveyed 112 inpatients with a diagnosis of a schizophrenia spectrum disorder or bipolar disorder and assessed outpatient treatment over the 5 years prior to their index hospitalization by using retrospective self-reports. The survey focused on psychotherapy provided by clinical psychologists. Results indicate that only 23.2% of participants retrospectively reported having utilized any outpatient psychotherapy within the reporting period and only 8% of participants reported having received a number of outpatient sessions that reaches recommended levels of psychotherapy. Exploratory analyses did not detect a significant association between self-reported utilization of outpatient psychotherapy sessions and most demographic, psychiatric, and psychological attributes, but patients with a bipolar disorder diagnosis (vs schizophrenia spectrum diagnosis) reported having utilized outpatient treatment more often. These findings are preliminary. When replicated they highlight the need for increased access to outpatient psychotherapy and better alignment between guideline recommendations and outpatient supply.

The association between the admission to wards with open- vs. closed-door policy and the use of coercive measures.

Introduction: Psychiatric treatment on a ward with open-door policy is associated with reduced numbers of coercive measures. The effect of the door policy of previous stays, however, has not been investigated. Methods: The data set consisted of 22,172 stays by adult inpatients in a psychiatric university hospital between 2010 and 2019. Pairs of consecutive stays were built. The outcome variable was the occurrence of coercive measures during the second stay. Results: Compared to treatments on wards with a closed-door policy at both stays, treatments on wards with an open-door policy at the second stay had smaller odds for coercive measures (OR ranging between 0.09 and 0.33, p < 0.01). In addition, coercive measures were more frequent in treatment histories where patients previously treated on a closed ward were admitted to a ward with an open-door policy and subsequently transferred to a ward with a closed-door policy at the second stay (OR=2.97, p = 0.046). Discussion: Treatment under open-door policy is associated with fewer coercive measures, even in patients with previous experience of closed-door settings. The group of patients who were admitted to a ward with an open-door, then transmitted to a ward with a closed-door policy seem to be prone to experience coercive measures. Clinical strategies to keep these patients in treatment in an open-door setting could further reduce coercive measures.

Treatment-associated network dynamics in patients with globus sensations: a proof-of-concept study.

In this proof-of-concept study, we used a systems perspective to conceptualize and investigate treatment-related dynamics (temporal and cross-sectional associations) of symptoms and elements related to the manifestation of a common functional somatic syndrome (FSS), Globus Sensations (GS). We analyzed data from 100 patients (M = 47.1 years, SD = 14.4 years; 64% female) with GS who received eight sessions of group psychotherapy in the context of a randomized controlled trial (RCT). Symptoms and elements were assessed after each treatment session. We applied a multilevel graphical vector-autoregression (ml GVAR) model approach resulting in three separate, complementary networks (temporal, contemporaneous, and between-subject) for an affective, cognitive, and behavioral dimension, respectively. GS were not temporally associated with any affective, cognitive, and behavioral elements. Temporally, catastrophizing cognitions predicted bodily weakness (r = 0.14, p < 0.01, 95% confidence interval (CI) [0.04-0.23]) and GS predicted somatic distress (r = 0.18, p < 0.05, 95% CI [0.04-0.33]). Potential causal pathways between catastrophizing cognitions and bodily weakness as well as GS and somatic distress may reflect treatment-related temporal change processes in patients with GS. Our study illustrates how dynamic NA can be used in the context of outcome research.

Effects of abstract versus concrete rumination about anger on affect.

BACKGROUND: The processing-mode theory of rumination proposes that an abstract mode of rumination results in more maladaptive consequences than a concrete ruminative mode. It is supported by evidence mostly from the area of depression and little is known of the relative consequences of abstract versus concrete rumination for anger. AIMS: We investigated the differential effects of abstract versus concrete rumination about anger on individuals' current affect. We hypothesized that abstract rumination would increase current anger and negative affect, and decrease positive affect, to a greater extent than concrete rumination. METHOD: In a within-subject design, 120 participants were instructed to focus on a past social event that resulted in intense anger and then to ruminate about the event in both an abstract and a concrete mode, in a randomly assigned order. Current anger, negative and positive affect were assessed before and after each rumination phase. RESULTS: Anger and negative affect increased and positive affect decreased from pre- to post-rumination. Contrary to expectations, these patterns were observed irrespective of the ruminative mode induced. CONCLUSIONS: This initial study does not support the hypothesis that abstract and concrete rumination about anger have different consequences for current affect. Replications and more extensive designs are needed.

Rethinking paranoid ideation and reasoning: A pilot study based on the argumentative theory of reasoning.

BACKGROUND AND OBJECTIVES: Cognitive theories assume an imbalance of intuitive and analytical reasoning in paranoid ideation. The argumentative theory of reasoning offers an approach on the primary function of reasoning and its flaws. It assumes social exchange as main purpose of reasoning. We applied this theory to delusion research and tested experimentally whether social exchange in the form of production and evaluation of arguments influences subsequent reflective reasoning. Additionally, we examined whether the social network and the frequency/preference for discussions are associated with distorted reflective reasoning and paranoid ideation. METHODS: 327 participants completed the Social Network Index (SNI), the Paranoia Checklist (PCL), and the Cognitive Reflection Test-2 (CRT2). Moreover, preference and frequency of discussions were assessed. In the discussion group (N = 165), participants produced arguments and evaluated counterarguments on two socially relevant topics. The control group (N = 162) watched a nature video instead. RESULTS: The discussion group showed lower distorted reflective reasoning than the control group. Discussion preference and/or frequency was associated with frequency and disturbance of paranoid thoughts, as well as overall paranoid ideation. LIMITATIONS: Due to the online format environmental factors could not be held constant and no intrasubject comparison of the CRT2 could be computed in the trial. Furthermore, the sample mainly consisted of psychology students. CONCLUSION: The results contribute to the understanding of distorted reflective reasoning and provides preliminary evidence that the argumentative theory of reasoning may offer a promising perspective for delusion research.

Therapeutic leave and direct inpatient healthcare costs in inpatients with mental illness.

AIMS: Balancing the economic costs related to mental illness is a pressing matter globally. Scarce monetary and staff resources impose an ongoing challenge. Therapeutic leaves (TL) are an established clinical tool in psychiatry possibly improving therapy outcome and potentially lowering direct mental healthcare costs in the long term. We thus examined the association between TL and direct inpatient healthcare costs. METHODS: We analyzed the association between the number of TL and direct inpatient healthcare costs in a sample of 3151 inpatients, using a tweedie multiple regression model, including eleven confounders. Using multiple linear (bootstrap) and logistic regression models we assessed the robustness of our results. RESULTS: The tweedie model showed that the number of TL was associated with lower costs following the initial inpatient stay (B = -.141, CI 95% = [-0.225, -.057], p < 0.001). Results of the multiple linear and the logistic regression models matched those of the tweedie model. CONCLUSION: Our findings suggest a link between TL and direct inpatient healthcare costs. TL might lower direct inpatient healthcare costs. In the future RCTs might examine whether an increased utilization of TL leads to a reduction of outpatient treatment costs and evaluate the association of TL with outpatient treatment costs and indirect costs. The systematic use of TL during inpatient treatment could reduce healthcare costs following the initial inpatient stay which is highly relevant due to global rise of mental illness and the associated financial pressure on healthcare systems.

Reasoning biases and delusional ideation in the general population: A longitudinal study.

BACKGROUND: Reasoning biases have been suggested as risk factors for delusional ideation in both patients and non-clinical individuals. Still, it is unclear how these biases are longitudinally related to delusions in the general population. We hence aimed to investigate longitudinal associations between reasoning biases and delusional ideation in the general population. METHODS: We conducted an online cohort study with 1184 adults from the German and Swiss general population. Participants completed measures on reasoning biases (jumping-to-conclusion bias [JTC], liberal acceptance bias [LA], bias against disconfirmatory evidence [BADE], possibility of being mistaken [PM]) and delusional ideation at baseline, and delusional ideation 7 to 8 months later. RESULTS: A greater JTC bias was associated with a greater increase in delusional ideation over the following months. This association was better described by a positive quadratic relationship. Neither BADE, LA nor PM were associated with subsequent changes in delusional ideation. CONCLUSIONS: This study suggests that jumping-to-conclusions predicts delusional ideation in the general population but that this association may follow a quadratic trajectory. While no other associations turned significant, future studies with shorter temporal distances may shed further light on the role of reasoning biases as risk factors for delusional ideation in non-clinical samples.

General and Case-Specific Approval of Coercion in Psychiatry in the Public Opinion.

BACKGROUND: Psychiatric patients are subjected to considerable stigmatization, in particular, because they are considered aggressive, uncontrollable, and dangerous. This stigmatization might influence the approval of coercive measures in psychiatry by the public and healthcare professionals and might have an influence on the clinical practice of coercive measures. We examined whether the general approval of coercive measures for psychiatric patients with dangerous behaviors differs from case-specific approval. METHOD: We conducted a representative survey of the general population (n = 2207) in the canton of Basel-Stadt, Switzerland. In total, 1107 participants assessed a case vignette depicting a fictitious character with a mental illness and indicated whether they would accept coercive measures (involuntary hospitalization, involuntary medication, and seclusion) for the person in the vignette. It was explicitly stated that within the last month, the fictitious character displayed no dangerous behavior (Vignette ND) or dangerous behavior (Vignette D). Another 1100 participants were asked whether they would approve coercive measures (involuntary hospitalization, involuntary medication, and seclusion) for psychiatric patients with dangerous behavior in general (General D), i.e., without having received or referring to a specific case vignette. FINDINGS: The logistic regression model containing all variables explained 45% of the variance in approval of any type of coercive measures. Assessment of case vignettes without dangerous behavior (Vignette ND) was associated with significantly reduced approval of coercive measures compared to assessment of a case vignette with dangerousness (Vignette D), while approval for coercive measures in a person with mental health disorder with dangerous behavior in general (General D) was significantly higher than for the case vignette with dangerousness. CONCLUSIONS: The general approval of coercive measures for people with mental disorders seems to differ depending on if the respondents are asked to give a general assessment or to examine a specific and detailed clinical case vignette, indicating an increased role of stigmatization when asking about generalized assessments. This may contribute to diverging findings on the acceptance of coercive measures in the literature and should be considered when designing future studies.

Is helping you helping me? The assessment of helping others using event sampling methodology in a clinical and a non-clinical sample.

Individuals diagnosed with major depressive disorder (MDD) and social phobia (SP) have difficulties in social interactions. It is unknown, however, whether such difficulties prevent them from helping others, thereby depriving them of the natural benefits of helping, such as receiving gratitude. Using event sampling methodology (ESM), individuals (MDD, n = 118; SP, n = 47; and control group, n = 119) responded to questions about the frequency of helping, in total at 5333 time points, and their well-being. Contrary to our hypothesis, individuals in the MDD, SP and control group did not differ in their helping frequency. Results did show an association between helping and well-being, such that helping is related to well-being and well-being to helping. Understanding the complex relation of helping others and well-being and how this might be used during therapy and prevention programmes are discussed.

Transdiagnostic symptom networks in relation to mental health service use in community youth.

OBJECTIVE: The objective of this study is to scrutinize whether psychopathology symptom networks differ between those with and without lifetime: treatment seeking, treatment and treatment of longer duration. METHODS: We created non-exclusive groups of subjects with versus without lifetime treatment seeking, treatment and treatment of mid-long-term duration. We estimated Ising models and carried out network comparison tests (NCTs) to compare (a) overall connectivity and (b) network structure. Furthermore, we examined node strength. We used propensity score matching (PSM) to minimize potential confounding by indication for service use. RESULTS: Based on data from 9,172 participants, there were no statistically significant differences in overall connectivity and network structure in those with versus without lifetime: treatment seeking (p = .75 and p = .82, respectively), treatment (p = .63 and p = .49, respectively) and treatment of mid-longterm duration (p = .15 and p = .62, respectively). Notably, comparing networks with versus without service use consistently revealed higher node strength in 'obsessions' and 'aggression' and lower node strength in 'elevated mood' in all networks with service use. CONCLUSIONS: Findings suggest that after adjusting for potential confounding by indication for service use, there was no indication of an association in overall connectivity or network structure for lifetime treatment seeking, treatment and treatment of longer duration. However, selected structurally important symptoms differed consistently in all three comparisons. Our findings highlight the potential of network analysis methods to examine treatment mechanisms and outcomes. Specifically, more granular network characteristics on the node level may complement and enrich traditional outcomes in clinical research.

Associations between emotions expressed in internet news and subsequent emotional content on twitter.

We report on the first investigation of large-scale temporal associations between emotions expressed in online news media and those expressed on social media (Twitter). This issue has received little attention in previous research, although the study of emotions expressed on social media has bloomed owing to its importance in the study of mental health at the population level. Relying on automatically emotion-coded data from almost 1 million online news articles on disease and the coronavirus and more than 6 million tweets, we examined such associations. We found that prior changes in generic emotional categories (positive and negative emotions) in the news on the topic of disease were associated with lagged changes in these categories in tweets. Discrete negative emotions did not robustly feature this pattern. Emotional categories coded in online news stories on the coronavirus generally featured weaker and more disparate lagged associations with emotional categories coded in subsequent tweets.

Fluctuations of psychological states on Twitter before and during COVID-19.

The COVID-19 pandemic has been repeatedly associated with poor mental health. Previous studies have mostly focused on short time frames such as around the first lockdown periods, and the majority of research is based on self-report questionnaires. Less is known about the fluctuations of psychological states over longer time frames across the pandemic. Twitter timelines of 4,735 users from London and New York were investigated to shed light on potential fluctuations of several psychological states and constructs related to the pandemic. Moving averages are presented for the years 2020 and 2019. Further, mixed negative binomial regression models were fitted to estimate monthly word counts for the time before and during the pandemic. Several psychological states and constructs fluctuated heavily on Twitter during 2020 but not during 2019. Substantial increases in levels of sadness, anxiety, anger, and concerns about home and health were observed around the first lockdown periods in both cities. The levels of most constructs decreased after the initial spike, but negative emotions such as sadness, anxiety, and anger remained elevated throughout 2020 compared to the year prior to the pandemic. Tweets from both cities showed remarkably similar temporal patterns, and there are similarities to reactions found on Twitter following other previous traumatic events.

Validity of the counter-app method in the assessment of intrusions.

BACKGROUND AND OBJECTIVES: The counter-app method is often used to assess the frequency of intrusions. The method requires the participants to press a button on a smartphone whenever an intrusion occurs during a predefined time period. We evaluated the convergent, discriminant, and predictive validity of the counter-app method in two studies. METHODS: In the first study, we assessed the frequency of intrusions with a counter-app method, thought-sampling method, and a retrospective measure in N = 77 students. Additionally, we assessed retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions. The second study (N = 65) was identical to the first except the thinking-aloud method replaced the thought-sampling method, and additionally we assessed behavioral neutralizing. RESULTS: The counter-app frequency was positively correlated with the convergent (thought-sampling and thinking-aloud frequencies, and retrospectively-estimated frequencies of intrusions) and predictive (behavioral neutralizing) validity criteria. The correlations between counter-app frequency and discriminant validity criteria (retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions) were not smaller than the correlations between counter-app frequency and convergent validity criteria. LIMITATIONS: We evaluated the predictive validity of the counter-app method using a criterion typical of obsessive-compulsive disorder research. Thus, the result for predictive validity might not transfer to other areas. CONCLUSIONS: Our findings support convergent and predictive, but not discriminant, validity of the counter-app method. The counter-app method can validly assess the frequency of intrusions but is not appropriate if the study requires the differentiation of frequency from other constructs such as duration.

Exam-related unwanted intrusive thoughts and related neutralizing behaviors: Analogues to obsessions and compulsions.

Exam-related unwanted intrusive thoughts (UITs) and related neutralizing behaviors are common experiences among students. The present study investigated in what ways these UITs and behaviors are analogues to clinical obsessions and compulsions. Twenty-nine students completed three ecological momentary assessment surveys per day over 7 consecutive days, assessing the severity of exam-related UITs and related neutralizing behaviors, obsessive-compulsive (OC) symptoms, anxiety, distress, urge to neutralize, depressed mood, and stress in the week immediately before an exam period. Multilevel analysis demonstrated that the severity of exam-related UITs and related neutralizing behaviors was positively associated with OC symptoms, anxiety, distress, urge to neutralize, and stress but was not related to depressed mood. During the study period, the exam-related UITs occurred on average 7 times, and the related neutralizing behaviors on average 6 times. Overall, they were experienced with mild severity, low distress, and low urge to neutralize. Findings indicate that some aspects of exam-related UITs and related neutralizing behaviors (e.g., association with distress and urge to neutralize) might be analogous to OC symptoms but not all (e.g., no relation to depressed mood). We discuss how research on obsessive-compulsive disorder could benefit from considering exam-related UITs and related behaviors.

Personality, self-esteem, familiarity, and mental health stigmatization: a cross-sectional vignette-based study.

There has been little research exploring the relationship between personality traits, self-esteem, and stigmatizing attitudes toward those with mental disorders. Furthermore, the mechanisms through which the beholder's personality influence mental illness stigma have not been tested. The aim of this study is to examine the relationship between Big Five personality traits, self-esteem, familiarity, being a healthcare professional, and stigmatization. Moreover, this study aims to explore the mediating effect of perceived dangerousness on the relationship between personality traits and desire for social distance. We conducted a vignette-based representative population survey (N = 2207) in the canton of Basel-Stadt, Switzerland. Multiple regression analyses were employed to examine the associations between personality traits, self-esteem, familiarity, and being a healthcare professional with the desire for social distance and perceived dangerousness. The mediation analyses were performed using the PROCESS macro by Hayes. Analyses showed associations between personality traits and stigmatization towards mental illness. Those who scored higher on openness to experience (ß = - 0.13, p < 0.001), (ß = - 0.14, p < 0.001), and those who scored higher on agreeableness (ß = - 0.15, p < 0.001), (ß = - 0.12, p < 0.001) showed a lower desire for social distance and lower perceived dangerousness, respectively. Neuroticism (ß = - 0.06, p = 0.012) was inversely associated with perceived dangerousness. Additionally, high self-esteem was associated with increased stigmatization. Personal contact or familiarity with people having mental disorders was associated with decreased stigmatization. Contrarily, healthcare professionals showed higher perceived dangerousness (ß = 0.04, p = 0.040). Finally, perceived dangerousness partially mediated the association between openness to experience (indirect effect = -  .57, 95% CI [- .71, - 0.43]) as well as agreeableness (indirect effect = - 0.57, 95% CI [- 0.74, - 0.39]) and desire for social distance. Although the explained variance in all analyses is < 10%, the current findings highlight the role of personality traits and self-esteem in areas of stigma. Therefore, future stigma research and anti-stigma campaigns should take individual differences into consideration. Moreover, the current study suggests that perceived dangerousness mediates the relationship between personality traits and desire for social distance. Further studies are needed to explore the underlying mechanisms of such relationship. Finally, our results once more underline the necessity of increasing familiarity with mentally ill people and of improving the attitude of healthcare professionals towards persons with mental disorders.

The relationship between psychological characteristics of patients and their utilization of psychiatric inpatient treatment: A cross-sectional study, using machine learning.

High utilizers (HU) are patients with an above-average use of psychiatric inpatient treatment. A precise characterization of this patient group is important when tailoring specific treatment approaches for them. While the current literature reports evidence of sociodemographic, and socio-clinical characteristics of HU, knowledge regarding their psychological characteristics is sparse. This study aimed to investigate the association between patients' psychological characteristics and their utilization of psychiatric inpatient treatment. Patients from the University Psychiatric Clinics (UPK) Basel diagnosed with schizophrenia spectrum or bipolar affective disorders participated in a survey at the end of their inpatient treatment stay. The survey included assessments of psychological characteristics such as quality of life, self-esteem, self-stigma, subjective experience and meaning of psychoses, insight into the disease, and patients' utilization of psychiatric inpatient treatment in the last 30 months. The outcome variables were two indicators of utilization of psychiatric inpatient treatment, viz. "utilization pattern" (defined as HU vs. Non-HU [NHU]) and "length of stay" (number of inpatient treatment days in the last 30 months). Statistical analyses included multiple regression models, the least absolute shrinkage and selection operator (lasso) method, and the random forest model. We included 112 inpatients, of which 50 were classified as HU and 62 as NHU. The low performance of all statistical models used after cross-validation suggests that none of the estimated psychological variables showed predictive accuracy and hence clinical relevance regarding these two outcomes. Results indicate no link between psychological characteristics and inpatient treatment utilization in patients diagnosed with schizophrenia spectrum or bipolar affective disorders. Thus, in this study, the examined psychological variables do not seem to play an important role in patients' use of psychiatric inpatient treatment; this highlights the need for additional research to further examine underlying mechanisms of high utilization of psychiatric inpatient treatment.

Corrigendum: Approval of Coercion in Psychiatry in Public Perception and the Role of Stigmatization.

[This corrects the article DOI: 10.3389/fpsyt.2021.819573.].