Semantic Linkages of Obsessions From an International Obsessive-Compulsive Disorder Mobile App Data Set: Big Data Analytics Study

Pathological narcissism and relationship obsessive-compulsive disorder (ROCD) symptoms: Exploring the role of vulnerable narcissism

OBJECTIVE

Relationship obsessive-compulsive disorder (ROCD) symptoms, which include obsessive preoccupation, doubts, and compulsive behaviors focusing on the suitability of the relationship and/or partner, have been receiving increasing clinical, theoretical, and empirical attention. This clinical variant of OCD is associated with significant functional, personal, and dyadic consequences. ROCD symptoms have also been linked to several cognitive vulnerability factors, such as maladaptive relationship catastrophization. However, little is known about the connection between ROCD symptoms and specific personality traits. In this study, we examine whether vulnerable narcissistic personality traits may constitute a general vulnerability factor for ROCD symptoms. Specifically, we assess whether partner value self-contingencies moderate the association between vulnerable narcissistic traits and obsessive preoccupation with a romantic partner's perceived flaws.

METHOD

A total of 310 individuals self-reporting ROCD symptoms completed questionnaires assessing narcissistic personality traits, ROCD symptoms and cognitions, and partner value self-contingencies.

RESULTS

Vulnerable narcissistic traits were uniquely associated with ROCD symptoms over and above ROCD-related cognitions. Self-worth contingent on the partner's perceived value partially mediated the effect of vulnerable narcissistic traits on ROCD symptoms.

CONCLUSION

Results supported the role of vulnerable narcissistic traits and domain-relevant self-vulnerabilities on obsessive preoccupation with romantic partners' perceived flaws. Further research is needed to explore the susceptibility of vulnerable individuals to the development and maintenance of ROCD symptoms.

Online Video Teletherapy Treatment of Obsessive-Compulsive Disorder Using Exposure and Response Prevention: Clinical Outcomes from a Retrospective Longitudinal Observational Study (Preprint)

Background

Exposure and response prevention, a type of cognitive-behavioral therapy, is an effective first-line treatment for obsessive-compulsive disorder (OCD). Despite extensive evidence of the efficacy of exposure and response prevention (ERP) from clinical studies and in real-world samples, it is still underused as a treatment. This is likely due to the limits to access to care that include the availability of adequately trained therapists, as well as geographical location, time, and cost barriers. To address these, NOCD created a digital behavioral health treatment for OCD using ERP delivered via video teletherapy and with technology-assisted elements including app-based therapy tools and between-session therapist messaging.

Objective

We examined treatment outcomes in a large naturalistic sample of 3552 adults with a primary OCD diagnosis who received NOCD treatment.

Methods

The treatment model consisted of twice-weekly, live, face-to-face video teletherapy ERP for 3 weeks, followed by 6 weeks of once-weekly brief video teletherapy check-ins for 30 minutes. Assessments were conducted at baseline, at midpoint after completion of 3 weeks of twice-weekly sessions, and at the end of 6 weeks of brief check-ins (endpoint). Longitudinal assessments were also obtained at 3, 6, 9, and 12 months after endpoint.

Results

Treatment resulted in clinically and statistically significant improvements, with a 43.4% mean reduction in obsessive-compulsive symptoms (g=1.0; 95% CI 0.93 to 1.03) and a 62.9% response rate. Treatment also resulted in a 44.2% mean reduction in depression, a 47.8% mean reduction in anxiety, and a 37.3% mean reduction in stress symptoms. Quality of life improved by a mean of 22.7%. Reduction in OCD symptoms and response rates were similar for those with mild, moderate, or severe symptoms. The mean duration of treatment was 11.5 (SD 4.0) weeks, and the mean total therapist time was 10.6 (SD 1.1) hours. Improvements were maintained at 3, 6, 9, and 12 months.

Conclusions

In this sample, representing the largest reported treated cohort of patients with OCD to date, video teletherapy treatment demonstrated effectiveness in reducing obsessive-compulsive and comorbid symptoms and improved quality of life. Further, it achieved meaningful results in less than half the total therapist time compared with standard once-weekly outpatient treatment, an efficiency that represents substantial monetary and time savings. The effect size was large and similar to studies of in-person ERP. This technology-assisted remote treatment is readily accessible for patients, offering an advancement in the field in the dissemination of effective evidence-based care for OCD.

Natural language processing in clinical neuroscience and psychiatry: A review

Natural language processing (NLP) is rapidly becoming an important topic in the medical community. The ability to automatically analyze any type of medical document could be the key factor to fully exploit the data it contains. Cutting-edge artificial intelligence (AI) architectures, particularly machine learning and deep learning, have begun to be applied to this topic and have yielded promising results. We conducted a literature search for 1,024 papers that used NLP technology in neuroscience and psychiatry from 2010 to early 2022. After a selection process, 115 papers were evaluated. Each publication was classified into one of three categories: information extraction, classification, and data inference. Automated understanding of clinical reports in electronic health records has the potential to improve healthcare delivery. Overall, the performance of NLP applications is high, with an average F1-score and AUC above 85%. We also derived a composite measure in the form of Z-scores to better compare the performance of NLP models and their different classes as a whole. No statistical differences were found in the unbiased comparison. Strong asymmetry between English and non-English models, difficulty in obtaining high-quality annotated data, and train biases causing low generalizability are the main limitations. This review suggests that NLP could be an effective tool to help clinicians gain insights from medical reports, clinical research forms, and more, making NLP an effective tool to improve the quality of healthcare services.