How can the utilisation of help for mental disorders be improved? A quasi-experimental online study on the changeability of stigmatising attitudes and intermediate variables in the process of utilisation.

BACKGROUND: Epidemiological studies show that even in highly developed countries many people with depression do not seek help for their mental health issues, despite promising prevention approaches encouraging people to seek help and reduce self-stigma. Therefore, an anti-stigma intervention study to support help-seeking behaviour will be developed on the basis of the newly explicated "Seeking Mental Health Care Model". METHODS: A quasi-experimental online study will be carried out to assess the effect of different intervention variables relevant for the help-seeking process. The study is conceived as a fractional factorial design. Participants will be screened for depressive complaints (PHQ-9 sum score ≥ 8) and current psychiatric/psychotherapeutic treatment. After baseline assessment the participants will be randomly allocated into one of the 24 study groups receiving different combinations of the vignette-based intervention aiming to reduce stigma and support help-seeking. Next, relevant outcome measures will be administered a second time. In a 3- and 6-month follow-up help-seeking behaviour will be measured. Gamified elements and avatar-choice techniques will be used to heighten study immersion and adherence. DISCUSSION: On the basis of the project results, promising research and intervention perspectives can be developed. Results, firstly, allow for a more detailed empirical investigation and conceptualisation of the stages of mental health care utilisation, as well as an examination of theoretical approaches to stigmatisation. Secondly, our online study could provide insights for an evidence-based design and evaluation of online interventions for people with a mental illness. TRIAL REGISTRATION: German Clinical Trials Register: DRKS00023557 . Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111-1264-9954. Registered 16 February 2021.

Attention Deficit Hyperactivity Disorder in Children and Adults: A Population Survey on Public Beliefs.

Objective: To investigate beliefs and attitudes of the public toward attention deficit hyperactivity disorder (ADHD) in children and adults. Method: In a representative population survey in Germany (N = 1,008) using computer-assisted telephone interviews, we asked participants about causal beliefs, illness recognition, treatment recommendations, and beliefs about ADHD, presenting an unlabelled vignette of a child or an adult with ADHD. Results: The most frequently endorsed causal beliefs for the depicted child with ADHD were "TV or Internet," "lack of parental affection," and "broken home." In comparison with the child vignette, biological causal beliefs were endorsed more often after the adult vignette. In the child vignette, 66% advised against a treatment with stimulant medication. About 90% of respondents had heard of ADHD. Of those, 20% said they believed ADHD to be not a real disease. Conclusion: Beliefs of the German public partly contradict evidence and should be considered in therapeutical and public contexts.

Self-labeling as having a mental or physical illness: the effects of stigma and implications for help-seeking.

PURPOSE: Personal and perceived stigma can hinder persons in appraising their symptoms as constituting part of a mental illness (self-labeling), an important early step in the help-seeking process. This study examines the impact of personal and perceived stigma on self-labeling and provides prospective data on the possible connections between self-labeling and help-seeking behavior. METHODS: Personal stigmatizing attitudes, perceived stigma and self-labeling behavior as well as their statistical connections were cross-sectionally investigated in a community sample of 207 participants with a present untreated mental health problem. We further conducted prospective analyses to investigate possible associations between self-labeling and help-seeking behavior at 3 and 6 month follow-ups. Socio-demographics, previous treatment and depression symptoms were also measured as potential confounders. RESULTS: Personal stigmatizing attitudes were significantly more pronounced in respondents who self-labeled as physically compared to mentally ill, while group differences in levels of perceived stigma were not. Self-labeling as physically or mentally ill increased the likelihood of seeking help from the health service provider deemed most suitable for that label (physical: GP, p <0.05; mental: MHP, p < 0.1) compared to persons who applied no self-label. CONCLUSIONS: The findings suggest that personal stigmatizing attitudes-rather than perceived stigma-impact on self-labeling, and highlight the need for interventions that assist persons with mental illness in overcoming those attitudes. They also underscore the possible impact of self-labeling in the help-seeking process and underline the important role of GPs in mental health care. Further, preferably epidemiological research into the matter would be desirable.

ADHD, stigma and continuum beliefs: A population survey on public attitudes towards children and adults with attention deficit hyperactivity disorder.

ADHD is a mental illness of high epidemiological and clinical importance, embedded in a complex socio-cultural context. We estimated the prevalence of attitudes related to ADHD in a representative population survey in Germany (n = 1008) after presenting an unlabelled vignette of a child or an adult with ADHD. Relations of personal experience, interpersonal contact and continuum beliefs with emotions and social distance were calculated using path models. About two-thirds of the German public indicated they believe in a continuum of ADHD symptoms, and half stated that they know somebody among family or close friends with a comparable problem. About one-quarter of respondents felt annoyed by the depicted person. While an adult with ADHD was most frequently accepted as a work colleague or neighbor, about one-quarter of the German general population rejected renting a room or giving a job recommendation. Personal Experience (both vignettes) and contact (adult vignette) were related to a higher belief in a continuum of symptoms, while explanation of variance was low. A belief in a continuum of symptoms was related to more pro-social reactions and less social distance. This study indicates that emphasizing aspects of a continuum of symptoms should be considered within the disorder model of ADHD.

Validity and psychometric properties of the Self-Identification as Having a Mental Illness Scale (SELF-I) among currently untreated persons with mental health problems.

Conceptualizing own symptoms as potential signs of a mental illness is an important, yet under-researched step towards appropriate help. Few validated measures address recognition and identification of own mental illness. Aim of this study is to investigate performance and correlates of the 'Self-Identification as Having a Mental Illness' scale (SELF-I) in a group of 229 currently untreated individuals with mental health problems, predominantly depression. Measures included: self-identification with having a mental illness (SELF-I), depressive and somatic symptom severity (PHQ-9 and PHQ-15), illness perceptions (B-IPQ-R-C), and sociodemographic variables. Principal-component analysis revealed in a unidimensional factor structure. The SELF-I showed good reliability in terms of internal consistency (Cronbach's alpha, 0.85-0.87) and re-test reliability over three months (Intraclass correlation coefficient, 0.74). Associations with depressive symptoms, previous treatment experiences and self-labelling demonstrated construct and criterion validity. Low associations with somatic symptoms and with illness-perceptions as measured by the B-IPQ-R-C indicated discriminant validity. We did not observe any floor or ceiling effects. The SELF-I scale is a brief, unidimensional and reliable measure of self-identification as having a mental illness that offers useful research perspectives.

Title: Brief Implicit Association Tests of Stigmatizing Attitudes, Awareness of Mental Distress and Label-Avoidance: A Study in People with Depressive Symptoms.

This study aims to develop and implement brief implicit association tests (BIATs) assessing stigmatizing attitudes towards mental illness, awareness of mental distress and self-identification as having a mental illness. We recruited 229 people (age range 18-80 years) with currently untreated depressive symptoms. In addition to BIATs, explicit measures assessed depression severity, contact experience and self-identification as having a mental illness. BIATs showed good feasibility. Age and educational differences were observed for each BIAT. Regarding depression severity, people with mild depression severity showed stronger implicit label-avoidance. Novel BIATs proved feasible and future research should investigate the predictive value of implicit measures on help seeking in people with mental illness.

Substance Abuse-Related Self-Stigma in Women with Substance Use Disorder and Comorbid Posttraumatic Stress Disorder.

BACKGROUND: Self-stigma is a result of internalizing negative stereotypes by the affected person. Research on self-stigma in substance use disorders (SUD) is still scarce, especially regarding the role of childhood trauma and subsequent posttraumatic disorders. OBJECTIVES: The present study investigated the progressive model of self-stigma in women with SUD and posttraumatic stress disorder (PTSD), and the predictive value of PTSD severity and childhood trauma experiences on self-stigma. METHOD: In a cross-sectional study with 343 women with SUD and PTSD, we used the Self-Stigma in Alcohol Dependency Scale, the Childhood Trauma Questionnaire (CTQ), the PTSD Symptom Scale Interview (PSS-I), and to control for SUD severity and depression, the Addiction Severity Index Lite and the Beck Depression Inventory-II. Hierarchical regression analyses were conducted for each stage of self-stigma (aware-agree-apply-harm). RESULTS: The interrelated successive stages of self-stigma were largely confirmed. In the regression models, no significant effects of the PSS-I- and the CTQ-scores were observed at any stage of self-stigma. Agreeing with negative stereotypes was solely predicted by younger age, applying these stereotypes to oneself was higher in women with younger age, higher depression and SUD severity, and suffering from the application (harm) was only predicted by depression. CONCLUSIONS: The progressive model of self-stigma could be confirmed in women with SUD and PTSD, but PTSD severity and childhood trauma did not directly affect this process. Self-stigma appears to be related to depression in a stronger way than PTSD is related to women with SUD and PTSD.

Stigma as a barrier to recognizing personal mental illness and seeking help: a prospective study among untreated persons with mental illness.

It is unclear to what extent failure to recognize symptoms as potential sign of a mental illness is impeding service use, and how stigmatizing attitudes interfere with this process. In a prospective study, we followed a community sample of 188 currently untreated persons with mental illness (predominantly depression) over 6 months. We examined how lack of knowledge, prejudice and discrimination impacted on self-identification as having a mental illness, perceived need, intention to seek help, and help-seeking, both with respect to primary care (visiting a general practitioner, GP) and specialist care (seeing a mental health professional, MHP). 67% sought professional help within 6 months. Fully saturated path models accounting for baseline depressive symptoms, previous treatment experience, age and gender showed that self-identification predicted need (beta 0.32, p < 0.001), and need predicted intention (GP: beta 0.45, p < 0.001; MHP: beta 0.38, p < 0.001). Intention predicted service use with a MHP after 6 months (beta 0.31, p < 0.01; GP: beta 0.17, p = 0.093). More knowledge was associated with more self-identification (beta 0.21, p < 0.01), while support for discrimination was associated with lower self-identification (beta - 0.14, p < 0.05). Blaming persons with mental illness for their problem was associated with lower perceived need (beta - 0.16, p < 0.05). Our models explained 37% of the variance of seeking help with a MHP, and 33% of help-seeking with a GP. Recognizing one's own mental illness and perceiving a need for help are impaired by lack of knowledge, prejudice, and discrimination. Self-identification is a relevant first step when seeking help for mental disorders.

Psychometric validation of the self-identification of having a mental illness (SELF-I) scale and the relationship with stigma and help-seeking among young people.

PURPOSE: Self-identification of having a mental illness has been shown to be an important factor underpinning help-seeking behaviour and may mediate the relationship between personal stigma and mental health service use. This study validates a new scale for the self-identification of having a mental illness among a non-clinical, community cohort of young people in the UK. METHODS: Following consultation with a group of young person experts with experience of mental health problems, we evaluated the psychometric properties of the self-identification of mental illness scale (SELF-I) among 423 young people aged 13-24 years who are part of an ongoing prospective community cohort. We performed test retest reliability among a subset of 53 participants. Psychometric validation for the scale used measures of Cronbach's alpha and Pearson's correlation coefficient. Item performance was assessed along and in relation with each covariate. RESULTS: The SELF-I demonstrated robust psychometric properties including high test-retest reliability (0.95) and good internal consistency (0.87 as determined by the Cronbach's alpha). The inter-total correlations for each item, which ranged from 0.62 to 0.74, supported keeping all items in the scale. Reporting greater psychiatric symptomatology via the SDQ (ß: 0.82 95% confidence interval 0.40, 1.23), psychotic-like experiences (ß: 0.37 95% confidence interval 0.14, 0.59), and use of mental health services (ß: 0.92 95% confidence interval 0.71, 1.13) were associated with a greater self-perception as having a mental illness (p < 0.05), providing evidence of convergent validity. As expected, we found that less intended stigmatising behaviour was associated with greater self-perceptions of having a mental illness (B: 0.18, 95% CI 0.07, 0.28). CONCLUSIONS: The SELF-I scale provides a method to gather insight into how young people, who may not identify as service users, perceive their own mental state and potential risk for developing a mental illness. This can be important for understanding perceived need for help and likelihood of using services among those with mental health problems.

Associations between causal attributions and personal stigmatizing attitudes in untreated persons with current mental health problems.

Past research has shown that among the general public, certain causal explanations like biomedical causes are associated with stronger desire for social distance from persons with mental illness. Aim of this study was to find out how different causal attributions of persons with untreated mental health problems regarding their own complaints are associated with stigmatizing attitudes, anticipated self-stigma when seeking help and perceived stigma-stress. Altogether, 207 untreated persons with a current depressive syndrome were interviewed. Biomedical causes, but also belief in childhood trauma or unhealthy behavior as a cause of the problem, were associated with stronger personal stigma and with more stigma-stress. Similarities and differences to findings among the general population and implications for future research are discussed.

[Depression Literacy - German Translation and Testing of the Depression Literacy Scale]. / Depressionswissen ­ Deutsche Übersetzung und Testung der Depression Literacy Scale.

OBJECTIVE: Translation and psychometric testing of a German adaptation of the Australian Depression Literacy Scale. METHODS: Translation of the Depression Literacy Scale by Griffith et al. (2004) into German and testing for depression literacy in a sample of 229 people with depressive syndrome. RESULTS: The investigated sample had a mean age of 49.4 years (18 - 80 years). On average, 51 % of the 22 questions were correctly answered. The scale showed a satisfactory internal consistency with α = .74. The first-time application of the translated D-Lit German scale showed significant differences in subgroup analyzes of sex, age, and education. Hence, women, younger persons and persons with a higher school education reported higher values on the Depression Literacy Scale. CONCLUSION: The translation of the Depression Literacy Scale (D-Lit German) resulted in an easy-to-understand and applicable questionnaire. Items relating to therapeutic and drug-related treatments of depressen were more difficult to answer. The D-Lit scale proved to be a reliable and economic instrument for the investigation of depression literacy. Future studies should include depression literacy in investigations on the demands and help-seeking behaviour of people with depression.

The Stigma of Mental Illness as a Barrier to Self Labeling as Having a Mental Illness.

The aim of this study was to investigate whether personal stigma decreases self-identification as having a mental illness in individuals with untreated mental health problems. We interviewed 207 persons with a currently untreated mental health problem as confirmed by a structured diagnostic interview. Measures included symptom appraisal, self-identification as having a mental illness (SELFI), self-labeling (open-ended question on the nature of their problem) stigma-related variables (explicit and implicit), as well as sociodemographics, current symptom severity, and previous treatment. Support for discrimination and implicit stigmatizing attitude were both associated with lower likelihood of self-identification. More social distance and support for discrimination were associated with less self-labeling. Previous treatment was the strongest predictor of symptom appraisal, SELFI, and self-labeling. Destigmatizing mental illness could increase awareness of personal mental health problems, potentially leading to lower rates of untreated mental illness.

Shifting blame? Impact of reports of violence and mental illness in the context of terrorism on population attitudes towards persons with mental illness in Germany.

We examine whether reporting on violent and terrorist acts committed in July 2016 by persons who, among other characteristics, were suspected to have mental health issues did impact on mental illness stigma, and whether any changes added to changes observed after the Germanwings plane crash in 2015. Three identical online surveys (in 2014, 2015 and 2016) were conducted among persons >15 years old from an established market research panel in Germany (N=2195). Participants answered questions about a woman ("Anne") with either depression or schizophrenia as described in an unlabeled vignette. In the 2016 survey (<4 weeks after the attacks), we also elicited perceived causes of the violent incidents. Compared to 2014, the predicted probability to rate Anne as dangerous increased from 7% to 11%. Perceived unpredictability increased from 17% to 23%. Other stigma measures did not change significantly. No significant changes were visible between 2015 and 2016. Mental illness ranked third among the most important perceived causes for the attacks in 2016, after 'religious beliefs' and 'being manipulated by others'. Overall, the observed attitude changes were small. We discuss how the context of the attacks may have prevented further attitude change regarding persons with mental illness.