Obsessive-Compulsive Disorder With Co-Occurring Obsessive-Compulsive Personality Disorder: A Practice Focused Review.

This review article addresses the frequently noted comorbidity between obsessive-compulsive disorder (OCD) and obsessive-compulsive personality disorder (OCPD). We begin by reviewing the recent empirical literature on the co-occurrence of these two conditions and the functional consequences of comorbid OCPD on OCD. We describe theoretical conceptualizations of the links between these disorders, including shared mechanisms that may drive the association between these two distinct conditions. We then provide an overview of diagnostic measures for OCPD and differential diagnosis. We also review data on the impact of comorbid OCPD on cognitive-behavioral treatment for OCD, including how to address potential treatment barriers through which OCPD may complicate OCD treatment. Lastly, we conclude with directions for future research.

Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?

Digital mental health interventions (DMHI) are scalable and cost-effective strategies for increasing access to mental health care; however, dropout rates associated with digital interventions are high, particularly for open-access digital interventions. While some studies have focused on predictors of dropout from digital mental health programs, few studies have focused on engagement features that might improve engagement. In this perspective article, we discuss whether monetary incentives (MI) are one avenue to increasing user engagement in DMHI. We begin by reviewing the literature on the effects of MI for behavior change in health domains (e.g., dietary behaviors, substance use, and medication adherence). Then, drawing on a pilot study we conducted to test the effects of different levels of MI on usage and improvement in subjective well-being among users of a DMHI (Happify), we discuss the potential applications of MI for DMHI, the potential drawbacks of financial incentives in this context, and open questions for future research.

Artificially intelligent chatbots in digital mental health interventions: a review.

INTRODUCTION: Increasing demand for mental health services and the expanding capabilities of artificial intelligence (AI) in recent years has driven the development of digital mental health interventions (DMHIs). To date, AI-based chatbots have been integrated into DMHIs to support diagnostics and screening, symptom management and behavior change, and content delivery. AREAS COVERED: We summarize the current landscape of DMHIs, with a focus on AI-based chatbots. Happify Health's AI chatbot, Anna, serves as a case study for discussion of potential challenges and how these might be addressed, and demonstrates the promise of chatbots as effective, usable, and adoptable within DMHIs. Finally, we discuss ways in which future research can advance the field, addressing topics including perceptions of AI, the impact of individual differences, and implications for privacy and ethics. EXPERT OPINION: Our discussion concludes with a speculative viewpoint on the future of AI in DMHIs, including the use of chatbots, the evolution of AI, dynamic mental health systems, hyper-personalization, and human-like intervention delivery.

How is the COVID-19 pandemic affecting individuals with obsessive-compulsive disorder (OCD) symptoms?

The novel coronavirus disease (COVID-19) pandemic has caused substantial public health burden and widespread anxiety. The adverse mental health effects caused by COVID-19 may be particularly acute for individuals with obsessive-compulsive disorder (OCD). For the present study, we developed an online survey to investigate how COVID-19 has affected the OCD community. The survey included both quantitative and qualitative questions to assess multiple facets of how the pandemic has affected individuals with OCD symptoms. Responses were collected from adults with self-identified OCD recruited from OCD-specific forums and websites (n = 252). The majority (76.2 %) of respondents reported that their OCD symptoms had worsened since the outbreak, though there was substantial variability in individual responses. Negative effects of COVID-19 were more strongly linked to contamination and responsibility for harm symptoms than for other symptom dimensions. The self-identified OCD group also reported heightened concerns about COVID-19 compared to a community control sample recruited through Amazon's Mechanical Turk (MTurk). Lastly, many participants reported that the pandemic had interfered with their OCD treatment, yet they remained mostly satisfied with how their treatment providers had handled the crisis. These results highlight the importance of considering how COVID-19 has affected the OCD community, with possible implications for treatment providers.

Effects of a Digital Mental Health Program on Perceived Stress in Adolescents Aged 13-17 Years: Protocol for a Randomized Controlled Trial.

BACKGROUND: Stress is an important transdiagnostic risk factor in adolescence and predicts a host of physical and psychological problems in adolescence and adulthood. Adolescence is also a developmental stage in which people may be more sensitive or reactive to stress. Indeed, research has shown that adolescents report high levels of stress, particularly when enrolled in school. However, adolescents report engaging in few, if any, stress management techniques. Consequently, the development of effective programs to help address adolescent stress is particularly important. To date, most stress management programs for adolescents are delivered within schools, and the evidence for such programs is mixed. Furthermore, most of these programs rely on traditional stress management techniques rather than incorporating methods to address the underlying negative cognitive processes, such as rumination, that may contribute to or exacerbate the effects of perceived stress. OBJECTIVE: The aim of this study is to test the short-term effects of a digital mental health program designed for adolescents aged 13-17 years on perceived stress and rumination. METHODS: This is a randomized controlled trial in which adolescents between the ages of 13 and 17 years, with elevated levels of perceived stress and brooding, will be randomly assigned to complete 8 weeks of a digital mental health program (Happify for Teens) or to a corresponding wait-list control group. The study will take place over 3 months, including the 8-week intervention period and 1-month postintervention follow-up. The primary outcome, perceived stress, along with secondary and exploratory outcomes (ie, brooding, optimism, sleep disturbance, and loneliness) will be assessed via self-report at baseline, 4 weeks, 8 weeks, and 12 weeks to compare changes in these outcomes across conditions. RESULTS: Recruitment is expected to begin in the second quarter of 2021, with a target sample size of 800 participants (400 per condition). Participants will begin the study as they are recruited and will finish in waves, with the first wave of data expected 8 weeks after recruitment begins and the final wave of data expected by the end of the third quarter of 2021. CONCLUSIONS: Although school-based stress management programs for adolescents are common, research suggests that they may be limited in their reach and more effective for school-based stress than other types of stress. This trial will be one of the first attempts to examine the potential benefits of a digital mental health program on adolescents to address stress along with negative cognitive processes such as rumination. If successful, this would help introduce a more scalable alternative to school-based programs that offers adolescents greater privacy while also providing insight into novel ways to target adolescent mental health more generally. TRIAL REGISTRATION: ClinicalTrials.gov NCT04567888; https://clinicaltrials.gov/ct2/show/NCT04567888. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/25545.

Intolerance of uncertainty and obsessive-compulsive personality disorder.

Obsessive-compulsive personality disorder (OCPD) remains understudied despite its high community prevalence and substantial societal burden. Elucidating the factors involved in OCPD traits and behaviors could improve conceptual models of OCPD and guide treatment development. Intolerance of uncertainty (IU) has been investigated as a transdiagnostic factor linked to many conditions, including anxiety disorders and obsessive-compulsive disorder (OCD). Despite OCPD's links to OCD, very little research has investigated whether IU may also be a relevant factor in OCPD. The present study administered measures of IU and OCPD to a large community sample of adults (n = 534) as well as a group of individuals with self-identified OCPD (n = 76). The OCPD measure assessed five OCPD trait dimensions as well as overall OCPD severity. We also included measures of other symptoms (OCD, depression, anxiety, and stress) as well as quality of life. Results revealed that the OCPD group reported heightened IU compared with the community sample, even when controlling for group differences in anxiety, depression, stress, and OCD symptoms. IU was significantly correlated with OCPD trait severity, and regression analyses demonstrated that IU predicted severity of OCPD traits controlling for distress symptoms. Moreover, IU significantly mediated the relationship between OCPD traits and reduced quality of life. These results highlight the importance of considering IU in the context of OCPD, with possible implications for improving treatment. Limitations and future directions for research are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).