Predictors of paranoia in the daily lives of people with non-affective psychosis and non-clinical controls: A systematic review of intensive longitudinal studies

Digitally Enhanced Psychological Assessment and Treatment of Paranoia: A Systematic Review

BACKGROUND

Paranoia is relatively common but can lead to significant distress, impairment and need for care. Digital technologies offer a valuable extension to service provision and are increasingly being integrated into healthcare. This systematic review evaluated feasibility, acceptability, and effectiveness of digitally enhanced psychological assessments and treatments for paranoia across the paranoia continuum (PROSPERO: CRD42023393257).

METHODS

Databases PsychINFO, EMBASE, MEDLINE and Web of Science were searched until 12 June 2023; the Effective Public Health Practice Project (EPHPP) quality assessment tool evaluated studies; and a narrative synthesis was conducted.

RESULTS

Twenty-seven studies met inclusion criteria (n = 3457, 23 assessment and 4 treatment, 2005-2023, most in Europe). Technologies included virtual reality (VR, n = 23), experience sampling methodology (ESM, n = 2), an app (n = 1) and a combination of VR and ESM (n = 1). Assessments involved monitoring paranoia under various virtual conditions or in everyday life. Treatments were generally integrated with Cognitive Behaviour Therapy (CBT), which involved using VR to test out threat beliefs and drop safety behaviours or using an app to support slowing down paranoid thinking. EPHPP ratings were strong (n = 8), moderate (n = 12) and weak (n = 7).

CONCLUSIONS

Digitally enhanced assessments and treatments showed promising acceptability, feasibility and treatment effectiveness. Limitations of studies include small sample sizes, lack of comparison groups and long-term data and limited randomised controlled trials. Results support the potential future integration of VR in the assessment of paranoia and show promise for treatments such as CBT, although further clinical trials are required. Investigation of other technologies is limited.

Emotional tone in clinical high risk for psychosis: novel insights from a natural language analysis approach

Background

Individuals at clinical high risk (CHR) for psychosis experience subtle emotional disturbances that are traditionally difficult to assess, but natural language processing (NLP) methods may provide novel insight into these symptoms. We predicted that CHR individuals would express more negative emotionality and less emotional language when compared to controls. We also examined associations with symptomatology.

Methods

Participants included 49 CHR individuals and 42 healthy controls who completed a semi-structured narrative interview. Interview transcripts were analyzed using Linguistic Inquiry and Word Count (LIWC) to assess the emotional tone of the language (tone -the ratio of negative to positive language) and count positive/negative words used. Participants also completed clinical symptom assessments to determine CHR status and characterize symptoms (i.e., positive and negative symptom domains).

Results

The CHR group had more negative emotional tone compared to healthy controls (t=2.676, p=.009), which related to more severe positive symptoms (r2=.323, p=.013). The percentages of positive and negative words did not differ between groups (p's>.05).

Conclusions

Language analyses provided accessible, ecologically valid insight into affective dysfunction and psychosis risk symptoms. Natural language processing analyses unmasked differences in language for CHR that captured language tendencies that were more nuanced than the words that are chosen.

Identifying mechanisms of persecutory ideation maintenance with smartphone technology: Examining threat importance, certainty, rumination, and behavior change

Previous cross-sectional and laboratory research has identified risk factors for persecutory ideation including rumination, negative affect, and safety-seeking behaviors. Questions remain about what in-the-moment factors link general negative affect to PI as well as which maintain PI over time. In the present study, N = 219 individuals completed momentary assessments of PI as well as four factors (attributing threats as certain and important, ruminating, and changing one's behavior in response) proposed to maintain PI over time. Linear mixed effects models were used to analyze multiple time-varying relationships, including these factors predicting negative affect and vice versa, as well as factors predicting maintenance of PI over time. Linear mixed effects models were used to analyze multiple time-varying relationships, examining each PI-related factor predicting negative affect, negative affect predicting each PI-related factor, as well as each factor predicting maintenance of PI over time. All four factors were associated with increases in subsequent day self-reported severity of PI, suggesting all four increased the likelihood of maintaining or worsening next-day PI. Results of this study confirm that the proposed factors are key in maintaining a cycle by which PI and negative affect are maintained over time. These factors may represent targets for momentary interventions.