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

A "Self-Milieux" perspective on help-seeking: examining the impact of a person's sociocultural background on help-seeking in people with untreated depressive symptoms

BACKGROUND

Mental illness is a global concern and the leading cause of years lived with disability. Research on help-seeking behaviour has focused on individual factors, but there is still much unexplained variance. Suggesting complex interactions between determinants of human behaviour a new framework called Self-Milieux is proposed to represent a person's sociocultural background. The article introduces a statistical approach to determine Self-Milieux and exemplarily examines its predictive validity for health-related research.

METHODS

Self-Milieux are determined through a two-stage clustering method based on the determinants socioeconomic status and self-construal profile. Descriptive analyses are used to compare Self-Milieux characteristics. Hierarchical binary logistic regression models test the association between Self-Milieux and help-seeking behaviour, while controlling for socioeconomic status as an established predictor.

RESULTS

The sample size was N = 1535 (Mage = 43.17 and 64.89% female participants). Average depression severity was M = 12.22, indicating mild to moderate symptoms. Six Self-Milieux were determined and named. Participants from privileged (aOR = 0.38) and self-sufficient (aOR = 0.37) milieux were less likely to seek help from a general practitioner than those from the entitled milieu. Participants from privileged (aOR = 0.30), collaborators (aOR = 0.50), disadvantaged (aOR = 0.33), and self-sufficient (aOR = 0.21) milieux were less likely to seek help from family members than those from the entitled and family-bound milieux.

DISCUSSION

The study's strengths and limitations, as well as the cluster methodology, are discussed. The comparative results for the six Self-Milieux are interpreted based on current research. For example, participants from some milieux follow a help-seeking process proposed in previous research, while participants from other milieux seem to show a different process, one that ends in informal help-seeking.

Psychometric validation of the continuum beliefs of mental illness scale (CB-MIS) and its associations with stigma

BACKGROUND

Continuum beliefs of mental health and illness are robustly negatively correlated with mental illness stigma. However, there is a lack of multidimensional and validated measures, not entirely relying on vignettes.

METHODS

To develop such a scale, a pool of 37 items adapted from other studies on continuum beliefs, was initially examined in expert discussions and a convenience sample (N = 227, Mage=32 years, 80.6% female). Items were selected based on theoretical tenability and assigned to pre-defined facets of "State", "Person", and nosological "Concept" in relation to mental illness. In a second sample (N = 1375; Mage=42 years; 65.2% female), the Continuum Beliefs of Mental Illness Scale (CB-MIS) was psychometrically tested (i.e. factorial, convergent, discriminant validity).

RESULTS

The scale comprises three subscales with three items, and one optional vignette-based item each, rated on a 5-point Likert scale. It showed very good factorial and discriminant validity, associations with stigma were moderately negative. The scale exhibited good test-retest reliability over a period of six months.

CONCLUSIONS

A validated, practical, multifaceted measure is offered to evaluate beliefs regarding the continuum of mental health and illness. Future studies should conduct subgroup-specific investigations regarding sociodemographic and illness variables, and could apply this measure to anti-stigma interventions.

TRIAL REGISTRATION

German Clinical Trials Register: DRKS00023557. Registered 11/12/2020. World Health Organization, Universal Trial Number: U1111-1264-9954. Registered 16/02/2021.

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach

Purpose

The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health behaviors, stigma, and motivation to predict the help-seeking process variables from a wide range of personal factors and attitudes.

Methods

A sample of 1,368 adults with untreated depressive symptoms participated in an online survey with three-and six-month follow-ups. We conducted multiple linear regressions for (a) help-seeking attitudes, and (b) help-seeking intentions, and logistic regression for (c) help-seeking behavior with machine learning methods.

Results

While self-stigma and treatment experience are important influences on help-seeking attitudes, complaint perception is relevant for intention. The best predictor for healthcare use remains the intention. Along the help-seeking process, we detected a shift of relevant factors from broader perceptions of mental illness and help-seeking to concrete suffering, i.e., subjective symptom perception.

Conclusion

The results suggest a spectrum of influencing factors ranging from personal, self-determined factors to socially normalized factors. We discuss social influences on professional help-seeking and the use of combined public health programs and tailored help-seeking interventions.

Clinical trial registration

German Clinical Trials Register (https://drks.de/search/en): Identifier DRKS00023557.

Addressing mental illness stigma in German higher education: study protocol for a mixed-methods evaluation of a psychosocial setting-based intervention

INTRODUCTION

Mental illness stigma is associated with a range of negative consequences, such as reduced help-seeking for mental health problems. Since stigma affects individual, social, and structural aspects, multilevel interventions such as the Canadian programme The Working Mind have been proven to be the most effective. Given the solid evidence base for The Working Mind, it is our aim to implement and evaluate culturally adapted versions of the programme in German higher education, targeting students, employees and managers.

METHODS AND ANALYSIS

We will evaluate the programme with regard to its effect on mental illness stigma, openness to mental health problems, willingness to seek help, and positive mental health outcomes. Further, we will investigate the programme's effectiveness dependent on gender and personal values, various mechanisms of change, and factors facilitating and hindering implementation. The study uses a sequential explanatory mixed-methods evaluation design (QUAN → qual) that consists of three steps: (1) quasi-experimental online survey with programme participants, (2) focus groups with programme participants, and (3) qualitative interviews with programme stakeholders. The quantitative data collected in step 1 will be analysed using 2×3 analysis of variances and a parallel multiple mediation analysis. The results will inform the qualitative data to be collected in steps 2 and 3, which will be analysed using qualitative content analysis.

ETHICS AND DISSEMINATION

The study was approved by the local Ethics Committee (Ethics Committee of University Medicine Greifswald; BB 098/23). Participants have to provide written consent before taking part in a focus group or interview. As for the online survey, participants have to give their consent by agreeing to an online data protection form before they can start completing the survey. We will publish central results and the anonymised data in an Open Access Journal. Further, the statistical code will be included as a supplement to the paper(s) documenting the results of the study.

TRIAL REGISTRATION NUMBER

DRKS00033523.

Distributive randomization: a pragmatic fractional factorial design to screen or evaluate multiple simultaneous interventions in a clinical trial

BACKGROUND

In some medical indications, numerous interventions have a weak presumption of efficacy, but a good track record or presumption of safety. This makes it feasible to evaluate them simultaneously. This study evaluates a pragmatic fractional factorial trial design that randomly allocates a pre-specified number of interventions to each participant, and statistically tests main intervention effects. We compare it to factorial trials, parallel-arm trials and multiple head-to-head trials, and derive some good practices for its design and analysis.

METHODS

We simulated various scenarios involving 4 to 20 candidate interventions among which 2 to 8 could be simultaneously allocated. A binary outcome was assumed. One or two interventions were assumed effective, with various interactions (positive, negative, none). Efficient combinatorics algorithms were created. Sample sizes and power were obtained by simulations in which the statistical test was either difference of proportions or multivariate logistic regression Wald test with or without interaction terms for adjustment, with Bonferroni multiplicity-adjusted alpha risk for both. Native R code is provided without need for compiling or packages.

RESULTS

Distributive trials reduce sample sizes 2- to sevenfold compared to parallel arm trials, and increase them 1- to twofold compared to factorial trials, mostly when fewer allocations than for the factorial design are possible. An unexpectedly effective intervention causes small decreases in power (< 10%) if its effect is additive, but large decreases (possibly down to 0) if not, as for factorial designs. These large decreases are prevented by using interaction terms to adjust the analysis, but these additional estimands have a sample size cost and are better pre-specified. The issue can also be managed by adding a true control arm without any intervention.

CONCLUSION

Distributive randomization is a viable design for mass parallel evaluation of interventions in constrained trial populations. It should be introduced first in clinical settings where many undercharacterized interventions are potentially available, such as disease prevention strategies, digital behavioral interventions, dietary supplements for chronic conditions, or emerging diseases. Pre-trial simulations are recommended, for which tools are provided.

The differential influence of self-construal on the effect of self-efficacy on the help-seeking process: A quasi-experimental online study among people with untreated depressive symptoms

BACKGROUND

Despite available professional healthcare, people often delay or avoid help-seeking. Understanding the underlying reasons is crucial and research has explored the role of self-efficacy in this context. Additionally, studies have highlighted the significance of culturally influenced self-construals in individuals' health behaviour. There seems to be a relationship between self-efficacy and self-construal. The aim of the study is to explore the influence of self-efficacy on help-seeking, considering self-construal as a moderator. Differential experiences of self-efficacy and varying associations among help-seeking variables based on self-construal are posited.

METHODS

A quasi-experimental online study is conducted with a baseline assessment, including self-efficacy interventions, and follow-ups at three and six months. Self-construal groups are compared, i.e., independent vs. interdependent individuals. A series of multi-group path analyses are conducted to examine potential variations in the interventional effects and among the help-seeking variables respective of help-seeking instance, i.e. professional mental health care or informal care. Self-construal functions as the global moderator.

RESULTS

The study included N = 1'368 participants, 65.6 % identifying as female and an average age of 42.38 (SD = 15.22). More independent compared to more interdependent individuals were older, more frequently identified as male, had higher socioeconomic status, fewer depressive symptoms, and greater self-efficacy. Multi-group path analyses for professional mental health care (CFI = 0.992, RMSEA = 0.018, SRMR = 0.004) and informal help (CFI = 0.999, RMSEA = 0.004, SRMR = 0.006) demonstrated excellent model fits. The analysis for informal help was interpretable, as the unconstrained model had a significantly better fit than the constrained model. There were varying associations among help-seeking variables based on self-construals. The intervention effect was differential, with independent participants benefiting significantly (β = 0.203), while the effect was non-significant for interdependent participants.

DISCUSSION

The study's findings, strengths, and limitations are discussed in relation to current research. Results indicate differential experiences of self-efficacy interventions based on individuals' self-construal. Moreover, varying associations among help-seeking variables suggest self-construal-based differences in their interrelationships. These findings highlight the importance of considering self-construal in health related research.

The effects of causal and self-efficacy beliefs on help-seeking for people with depressive complaints: a quasi-experimental online study

Background

Only approximately a third of people with depressive symptoms seek professional health care. Furthermore, people labelled as mentally ill may experience stigmatisation, which can impede help-seeking behaviour.

Aim

To examine the effects of three vignette-based interventions endorsing biopsychosocial causal beliefs and strengthening self-efficacy on help-seeking intention and behaviour, as well as the predictive values of these variables and previous treatment experience.

Method

A quasi-experimental online study utilising a fractioned factorial design was carried out. People were screened for depressive symptoms and their current treatment status. After baseline assessment, they were randomly allocated into one of 24 groups receiving a combination of interventional messages. Actual help-seeking behaviour was measured at follow-ups 3 and 6 months after baseline.

Results

Altogether, N = 1,368 participants were included in the final analyses and N = 983 provided data on their help-seeking behaviour within 3 to 6 months after the baseline assessment. The intention to seek help from a general practitioner or a mental health professional was significantly influenced by the interventions. However, help-seeking behaviour was not influenced by the interventions. On a conceptual level, biopsychosocial causal beliefs (β = 0.09-0.23) and self-efficacy to seek help (β = 0.16-0.25) predicted help-seeking intention. There was a negative interaction effect of both self-efficacy beliefs on intention and behaviour, which changed depending on depression severity. In all models, the intention was the main predictor of actual behaviour. Treatment experience predicted both help-seeking intention and behaviour.

Conclusion

Biopsychosocial causal beliefs and self-efficacy have a direct effect on help-seeking intention. Interventions should include information on how to actually seek help as a means to strengthen self-efficacy beliefs and simulate previous treatment experience. Further research is needed to investigate the respective interaction effects on intention and behaviour.

Clinical Trial Registration

https://drks.de/search/de/trial/DRKS00023557, German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111-1264-9954. Registered 16 February 2021.

The Seeking Mental Health Care model: prediction of help-seeking for depressive symptoms by stigma and mental illness representations

BACKGROUND

Only about half the people with depression seek professional health care services. To constitute the different predictors and associating variables of health care utilisation, we model the process and aim to test our hypothesised Seeking Mental Health Care Model. The model includes empirical influences on the help-seeking process to predict actual behaviour and incorporates superordinate (stigma, treatment experiences) as well as intermediate attitudinal variables (continuum and causal beliefs, depression literacy and self-efficacy).

METHOD

All variables are examined in an online study (baseline, three- and six-month follow-up). The sample consisted of adults with depressive symptoms (PHQ-9 sum score ≥ 8), currently not receiving mental health care treatment. To examine the prediction of variables explaining help-seeking behaviour, a path model analysis was carried out (lavaan package, software R).

RESULTS

Altogether, 1368 participants (Mage = 42.38, SDage = 15.22, 65.6% female) were included, 983 participating in at least one follow-up. Model fit was excellent (i.e., RMSEA = 0.059, CFI = 0.989), and the model confirmed most of the hypothesised predictions. Intermediary variables were significantly associated with stigma and experiences. Depression literacy (ß = .28), continuum beliefs (ß = .11) and openness to a balanced biopsychosocial causal model (ß = .21) significantly influenced self-identification (R2 = .35), which among the causal beliefs and self-efficacy influenced help-seeking intention (R2 = .10). Intention (ß = .40) prospectively predicted help-seeking behaviour (R2 = .16).

CONCLUSION

The Seeking Mental Health Care Model provides an empirically validated conceptualisation of the help-seeking process of people with untreated depressive symptoms as a comprehensive approach considering internal influences. Implications and open questions are discussed, e.g., regarding differentiated assessment of self-efficacy, usefulness of continuum beliefs and causal beliefs in anti-stigma work, and replication of the model for other mental illnesses.

TRIAL REGISTRATION

German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111-1264-9954. Registered 16 February 2021.

Application of the unified protocol for the transdiagnostic treatment of comorbid emotional disorders in patients with ultra-high risk of developing psychosis: A randomized trial study protocol

Background

Cognitive Behavioral Therapy is delivered in most of the early intervention services for psychosis in different countries around the world. This approach has been demonstrated to be effective in decreasing or at least delaying the onset of psychosis. However, none of them directly affect the comorbidity of these types of patients that is often the main cause of distress and dysfunctionality. The Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders (UP) is a psychological intervention that combines cognitive-behavioral and third-generation techniques that address emotional dysregulation as an underlying mechanism that these disorders have in common. The application of this intervention could improve the comorbid emotional symptoms of these patients.

Materials and methods

The study is a randomized controlled trial in which one group receives immediate UP plus standard intervention and the other is placed on a waiting list to receive UP 7 months later, in addition to standard care in one of our early psychosis programs. The sample will be 42 patients with UHR for psychosis with comorbid emotional symptoms. The assessment is performed at baseline, at the end of treatment, and at 3-months’ follow-up, and includes: general psychopathology, anxiety and depression, positive and negative emotions, emotional dysregulation, personality, functionality, quality of life, cognitive distortions, insight, and satisfaction with the UP intervention.

Discussion

This will be the first study of the efficacy, acceptability, and viability of the UP in a sample of young adults with UHR. The results of this study may have clinical implications, contributing to improving the model of care for young people who consult for underlying psychotic, anxiety, and/or depressive symptoms that can lead to high distress and dysfunctionality.

Clinical trial registration

[https://clinicaltrials.gov/], identifier [NCT04929938].