Examining the impact of online rejection among emerging adults with borderline personality pathology: Development of a novel online group chat social rejection paradigm.

Richmond, Julia R.; Edmonds, Keith A.; Rose, Jason P.; Gratz, Kim L.

doi:10.1037/per0000381

Cited by 6 publications

(1 citation statement)

References 67 publications

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“…(1) Mobile apps and web-based treatments should be delivered cautiously with those at risk or already having comorbid behavioral addictions such as nomophobia, Internet addiction, and/ or gaming disorder [44][45][46]. 2Virtual therapeutic communities should be avoided or monitored in those with higher baseline hostility levels, who in turn are at greater risk of online peer rejection and also cyberbullying [47,48]. 3Virtual reality should be implemented cautiously for those with higher baseline dissociation levels due to the immersion and absorption effects of this technology [49].…”

Section: Recommendations For Future Researchmentioning

confidence: 99%

Technology-Based Psychosocial Interventions for People with Borderline Personality Disorder: A Scoping Review of the Literature

et al. 2020

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Evidence-based psychosocial interventions for borderline personality disorder (BPD) still face multiple challenges regarding treatment accessibility, adherence, duration, and economic costs. Over the last decade, technology has addressed these concerns from different disciplines. The current scoping review aimed to delineate novel and ongoing clinical research on technology-based psychosocial interventions for patients with BPD. Online databases (PubMed, Cochrane Library, EMBASE, Web of Science, PsycInfo, and Google Scholar) were searched up to June 2020. Technology-based psychosocial treatments included innovative communication (eHealth) and computational (e.g., artificial intelligence), computing (e.g., computer-based), or medical (e.g., functional magnetic resonance imaging [fMRI]) software. Clinical research encompassed any testing stage (e.g., feasibility, efficacy). Fifteen studies met the inclusion criteria. The main findings were the following: almost two-thirds of the studies (9/15) tested software explicitly conceived as adjunctive interventions to conventional therapy; nearly half of the studies (7/15) were referred to as dialectical behavior therapy-based software; most studies (13/15) were focused on the initial stage of the clinical research cycle (feasibility/acceptance/usability testing), reporting good results at this point; more than one-third of the studies (6/15) tested mobile apps; there is emerging evidence for Internet-based interventions and real-time fMRI biofeedback but only little evidence for mHealth interventions, virtual and augmented reality, and computer-based interventions; there was no computational technology-based clinical research; and there was no satisfaction/preference, security/safety, or efficiency testing for any software. Taken together, the results suggest that there is a growing but still incipient amount of technology-based psychosocial interventions for BPD supported by some kind of clinical evidence. The limitations and directions for future research are discussed.

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