The role of stigma during the course of inpatient psychotherapeutic treatment in a German sample

Preventive Interventions for Internet Addiction in Young Children: Systematic Review

BACKGROUND

In this digital age, children typically start using the internet in early childhood. Studies highlighted that young children are vulnerable to internet addiction due to personal limitations and social influence (eg, family and school). Internet addiction can have long-term harmful effects on children's health and well-being. The high risk of internet addiction for vulnerable populations like young children has raised questions about how best to prevent the problem.

OBJECTIVE

This review study aimed to investigate the existing interventions and explore future directions to prevent or reduce internet addiction risks in children younger than 12 years.

METHODS

The systematic review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched for relevant literature from 4 research databases (Scopus, Web of Science, PubMed, and PsycINFO). We included 14 primary studies discussing the interventions to prevent or reduce internet addiction risks in young children and their efficacy outcomes.

RESULTS

The preventive interventions identified were categorized into four approaches as follows: (1) children's education, (2) parenting strategy, (3) strategic physical activity, and (4) counseling. Ten interventions showed promising efficacy in preventing or reducing internet addiction risks with small-to-medium effect sizes. Interventions that enhance children's competencies in having appropriate online behaviors and literacy were more likely to show better efficacy than interventions that force children to reduce screen time. Interventions that shift children's focus from online activities to real-world activities also showed promising efficacy in reducing engagement with the internet, thereby preventing addictive behaviors. We also identified the limitations of each approach (eg, temporariness, accessibility, and implementation) as valuable considerations in developing future interventions.

CONCLUSIONS

The findings suggest the need to develop more sustainable and accessible interventions to encourage healthy online behaviors through education, appropriate parenting strategies, and substitutive activities to prevent children's overdependence on the internet. Developing digital tools and social support systems can be beneficial to improve the capability, efficiency, and accessibility of the interventions. Future interventions also need to consider their appropriateness within familial context or culture and provide adequate implementation training. Last, policy makers and experts can also contribute by making design guidelines to prevent digital product developers from making products that can encourage overuse in children.

A Scale for Measuring Positive and Negative Experiences of Psychotherapy (PNEP): First Psychometric Findings of a New Instrument for Monitoring Clients' Experiences

BACKGROUND

Clients' adverse experiences during psychotherapy are rarely monitored in clinical practice or research trials. One obstacle here is the lack of a measure to gauge both positive and negative experiences during psychotherapy. We developed and evaluated a new instrument for measuring such experiences.

METHOD

The Positive and Negative Experiences of Psychotherapy (PNEP) questionnaire was developed based on pilot data, a literature review, and two existing scales for measuring primarily adverse experiences during psychotherapy. Mental healthcare clients (N = 200) anonymously completed and evaluated the PNEP. Subsequently, a sample of professionals (N = 34) who underwent psychotherapy in the context of their training filled in the PNEP twice, with a 2-week interval in between.

RESULTS

The positive and negative experiences subscales of the PNEP were found to possess excellent internal consistencies (αs ≥ 0.90). The PNEP test-retest reliability was 0.93 for the positive experiences subscale and 0.78 for the negative experiences subscale. For the positive subscale, four factors were extracted: symptom reduction and positive well-being, high quality of therapy and therapeutic relation, personal growth and acceptance and interpersonal functioning. For the negative subscale, exploratory factor analysis suggested a three-factor solution: escalation of symptoms and emotional distress, low quality of therapy and therapeutic relation and (self-)stigmatization and dependency. Participants related a median of 13 positive and six negative therapy experiences to their most recent treatment. The most frequently endorsed negative experiences were having more negative thoughts and memories, feeling emotionally overwhelmed and an increase in stress due to the therapy. A minority of participants (10.5%) reported no negative treatment experiences.

CONCLUSIONS

In the field of psychotherapy, the evaluation of risks and benefits is crucial for assessing safety and effectiveness. The PNEP could be a promising instrument for achieving this objective, although further research is needed to replicate and expand upon the current findings.

Internalization process of stigma of people with mental illness across cultures: A meta-analytic structural equation modeling approach

This meta-analytic study synthesized findings from 108 independent data sets across 22 cultures to investigate whether the stigma internalization model (the internalization of experienced stigma and perceived stigma to self-stigma) is associated with well-being and recovery of people with mental illness. We also examined the moderating role of collectivism in the internalization process. Results of the meta-analytic structural equation modeling suggested that self-stigma is a significant mediator in the relationships between experienced stigma and perceived stigma with well-being and recovery variables (indirect effects = 0.02 to -0.16). Experienced and perceived stigma had significant direct effects on well-being and recovery variables (Bs = 0.07 to -0.21, p < 0.05), suggesting that both external (e.g., public stigma) and internal (i.e., self-stigma) influences of stigma work concurrently to affect recovery and well-being of people with mental illness. The results of the mixed effect three-level meta-analytic models showed that collectivism significantly moderated the relationship between experienced and perceived stigma with self-stigma (Bs = 0.06 to 0.11, p < 0.05). This implied that the more collectivistic a culture is, the stronger the correlation between experienced and perceived stigma with self-stigma. Implications to stigma reduction approaches were discussed.

Self-Stigma and Treatment Effectiveness in Patients with SSRI Non-Responsive Obsessive-Compulsive Disorder

Purpose

Obsessive compulsive disorder (OCD) is a debilitating mental disorder that often takes a chronic course. One of the factors influencing the treatment effectiveness in anxiety and depressive disorders is the self-stigma. This study focused on the relationship between the self-stigma, symptomatology, and therapeutic outcomes in patients with OCD.

Patients and Methods

Ninety-four inpatients with OCD, who did not sufficiently respond to at least one selective serotonin reuptake inhibitor trial, participated in the study. They attended a six-week therapeutic program consisting of exposure and response prevention, transdiagnostic group cognitive behavioral therapy, individual sessions, mental imagery, relaxation, sport, and ergotherapy. The participants completed several scales: the Internalized Stigma of Mental Illness Scale (ISMI), the self-report Yale-Brown Obsessive Compulsive Scale (Y-BOCS-SR), Beck Anxiety Scale (BAI), Beck Depression Scale-II (BDI-II), and Dissociative Experiences Scale (DES). A senior psychiatrist filled in the Clinical Global Impression (CGI-S).

Results

The average scales' scores considerably declined in all measurements except for DES. The self-stigma positively correlated with all psychopathology scales. It was also higher in patients with a comorbid personality disorder (PD). The higher self-stigma predicted a lower change in compulsion, anxiety, and depressive symptoms but not the change of obsessions or the overall psychopathology.

Conclusion

The self-stigma presents an important factor connected to higher severity of OCD. It is also a minor predictor of a lower change in symptomatology after combined treatment.