Psychological treatment of adult depression in primary care compared with outpatient mental health care: A meta-analysis

The outcomes of mental health care for depression over time: A meta-regression analysis of response rates in usual care

BACKGROUND

Over the past decades dozens of randomized trials have shown that psychological treatments are more effective than care-as-usual (CAU). It could be expected that these treatments are implemented in routine care and that the response rates in usual care improve over time. The aim of the current meta-analysis is to examine if response and remission rates in usual care have improved over time.

METHODS

We used an existing meta-analytic database of randomized controlled trials examining the effects of psychological treatments of depression and selected CAU control groups from these trials. We only included CAU conditions in primary care, specialized mental health care, perinatal care and general medical care. The response rate (50 % symptom reduction) was the primary outcome.

RESULTS

We included 125 CAU control groups (8542 participants). The response rate for all CAU control groups was 0.22 (95 % CI: 0.19; 0.24) with high heterogeneity (I2 = 83; 95 % CI: 80; 85), with somewhat higher rates in primary care (0.27; 95 % CI: 0.23; 0.31). We found hardly any indications that the outcomes have improved over the years. The meta-regression analysis with publication year as predictor in the full dataset resulted in a coefficient of 0.1 (SE = 0.01; p = 0.0.35). A series of sensitivity analyses supported the main findings. Remission rates and pre-post effect sizes also did not significantly improve over time.

CONCLUSIONS

Response and remission rates in usual care are low, with the large majority of patients not responding or remitting, and the outcomes have probably not improved over time.

No pain, no gain revisited: the impact of positive and negative psychotherapy experiences on treatment outcome

Objective

Psychotherapy may have many benefits for patients with mental health problems, but patients may also have negative experiences related to the therapy. Not much is known about these negative psychotherapy experiences and their impact on treatment outcome. The aim of this study was to examine the association between positive and negative psychotherapy experiences and treatment outcome.

Methods

A total of 130 patients participated in the study. They received treatment as usual and were assessed for positive and negative psychotherapy experiences at mid-treatment and post-treatment using the Positive and Negative Experiences of Psychotherapy Questionnaire (PNEP). Treatment outcome was measured by the Outcome Questionnaire - 45 (OQ-45). Multiple linear regression was used to analyze the data.

Results

All patients reported positive psychotherapy experiences at mid-treatment. At least one negative experience was reported by 69% of participants. After correction for baseline severity (i.e., OQ-45 at baseline) and relevant demographic variables, positive psychotherapy experiences at mid-treatment emerged as a predictor for treatment outcome. In contrast, negative psychotherapy experiences did not predict treatment outcome. However, reporting more negative experiences was associated with reporting fewer positive experiences at mid- and end of treatment.

Conclusion

Both positive and negative psychotherapy experiences commonly occur. Although in this study negative psychotherapy experiences did not predict treatment outcome in terms of symptom reduction, the findings do suggest that negative experiences may influence the way in which patients evaluate their treatment. Although positive experiences outweigh negative experiences, patients should be informed that negative experiences may also occur.

The revision and factor analytic evaluation of the German version of the depression literacy scale (D-Lit-R German)

BACKGROUND

Depression is a common mental health disorder and the second leading cause of disability worldwide. In people with depression, low depression literacy, which could be characterized by a poor recognition of depressive symptoms and less knowledge about the availability of treatment options, can hinder adequate therapy for depression. Nevertheless, questionnaires measuring depression literacy in Germany are rare. Consequently, for the present study, the German Depression Literacy Scale (D-Lit) has been revised and evaluated.

METHODS

First, a team of clinical psychologists revised the D-Lit German scale. Next, cognitive interviews were conducted with patients with depression to improve the comprehensibility of the scale items. Our revision of the D-Lit-R German scale was then subjected to an anonymous online study. Finally, the data went through an exploratory factor analysis, and sociodemographic subgroup analyses were performed.

RESULTS

N = 524 individuals (age 18-80) completed the D-Lit-R German scale and a questionnaire on their sociodemographic data. Cronbach´s alpha was estimated as α = .72, and McDonald's Omega (categorical) was estimated as ω = .77. The mean Item difficulty was M = .75 (SD = .15). An EFA was performed for a unidimensional model, a 5-factor-model and at last a 3-factor-model. The 5-factorial model showed a good model fit (χ2emp,WLSMV(131) = 92.424, p > .05; CFI = 1, RMSEA = 0, SRMR = .07) but was rejected since the content of the potential 5 factors could not be determined. The 3-factor model showed an arguable model fit. The Chi2 test was significant (χ2emp,WLSMV(168) = 199.912, p < .05), but the CFI and the RMSEA met an acceptable model fit (CFI = .990, RMSEA of .019, 90% CI[.003, .029]). Substantively, the three factors were defined as (1) Distractors and other symptoms, (2) Depressive symptoms, and (3) Pharmacological and psychotherapeutic depression treatment. Furthermore, there were significant differences in sum scores regarding the subgroup's gender, treatment for mental health problems, depression treatment, experience with depression, and different career fields.

CONCLUSIONS

The D-Lit-R German scale is a time-efficient scale to assess some aspects of the depression literacy construct that can be easily applied. Since there was no perfect model fit, it is recommended to continue to revise the scale. Further evaluation studies could ask for knowledge of the etiological factors of depression. Future studies could then use this instrument to convey depression literacy. This instrument could assess the growth of knowledge after psychoeducational interventions in different settings.

TRIAL REGISTRATION

This trial was preregistered at the platform osf.io ( https://osf.io/49xdh ).

REGISTRATION NUMBER

https://doi.org/10.17605/OSF.IO/49XDH Date of registration: 28 April 2022.

"Anxiety is not cute" analysis of twitter users' discourses on romanticizing mental illness

BACKGROUND

The proliferation of social media platforms has provided a unique space for discourse on mental health, originally intended to destigmatize mental illness. However, recent discourses on these platforms have shown a concerning shift towards the romanticization of mental health issues. This research focuses on Twitter (now called X) users' authentic discussions on the phenomenon of romanticizing mental health, aiming to uncover unique perspectives, themes, and language used by users when engaging with this complex topic.

METHODS

A comprehensive content analysis was conducted on 600 relevant tweets, with the application of topic modeling techniques. This methodology allowed for the identification and exploration of six primary themes that emerged from Twitter users' discussions. Statistical tests were not applied in this qualitative analysis.

RESULTS

The study identified six primary themes resulting from Twitter users' discussions on the romanticization of mental health. These themes include rejecting/critiquing the glamorization of mental health, monetization of mental health by corporate organizations, societal misconceptions of mental health, the role of traditional media and social media, unfiltered realities of depression, and the emphasis on not romanticizing mental health.

CONCLUSIONS

This study provides valuable insights into the multifaceted discourses surrounding the romanticization of mental health on Twitter. It highlights users' critiques, concerns, and calls for change, emphasizing the potential harm caused by romanticizing mental illness. The findings underscore the importance of fostering responsible and empathetic discussions about mental health on social media platforms. By examining how Twitter users interact with and respond to the romanticization of mental health, this research advances our understanding of emerging perspectives on mental health issues among social media users, particularly young adolescents. The study also underscores the effects of this phenomenon on individuals, society, and the mental health community. Overall, this research emphasizes the need for more responsible and knowledgeable discussions around mental health in the digital age.

Negative effects in randomized controlled trials of psychotherapies and psychological interventions: A systematic review

Background: Psychotherapy is a key evidence-based method for the treatment of mental disorders. However, little research has been published on the negative effects of psychotherapies. Aims: We examined this issue through a systematic literature review of previous systematic reviews on randomized controlled trials (RCTs). Methods: We focused on previous reviews and meta-analyses on 1) RCTs examining the effectiveness of psychotherapies and 2) previous reviews and meta-analyses specifically focusing on the negative effects of psychotherapy. We included publications published in PubMed and the Cochrane Databases from the year 2000 or later. Results: Of the 1,430 relevant publications, only a small proportion (30%) mentioned negative outcomes, mostly withdrawal. Only 57 of the extracted original studies monitored potential negative effects, and only three small-scale studies indicated negative effects. Conclusions: The systematic monitoring of negative effects in psychotherapy has not been given the same attention as has been given to the benefits of therapy.

Enhancing patient experience assessment with psychological care in severe mental disorders: A study of the PREMIUM program

Incorporating the experiences of patients with severe mental disorders (SMD) into clinical practice offers valuable insights for optimizing psychological care's effectiveness with more patient-centered and personalized interventions. The study aimed to develop a patient-reported experience measure regarding psychological care (PREMIUM-PSY) using adaptive testing and investigate its association with quality of life. In a multicenter study involving 443 patients with SMD, PREMIUM-PSY demonstrated both validity and efficiency (6-item average). Positive patient experiences were associated with enhanced mental and physical quality of life (β = 3.15[2.17;4.12], p < 0.001 and β = 1.18[0.04;2.32], p = 0.042), suggesting PREMIUM-PSY's potential for optimizing psychological care outcomes.