Collaborative assessment as an intervention in the treatment of mental Illness: a systematic review
dataset posted on 2024-07-01, 19:00 authored by Oliver Rumle Hovmand, Jasmin Rejaye Gryesten, Ole Jakob Storebø, Nina Reinholt, Sidse M. Arnfred. Three meta-analyses suggested that the psychological assessment as a therapeutic intervention approach might have therapeutic effects but had unspecific inclusion criteria. We searched four databases for RCTs that reported on the use of psychological assessment as an intervention. Two reviewers independently selected papers, extracted data, and assessed study quality. We conducted and reported the systematic review following the PRISMA statement. We assessed the Risk of bias in included studies using the Risk of Bias tool and graded the strength of the evidence with GRADE. We included two RCTs: The first study investigated Therapeutic Assessment (TA) combined with Manual-Assisted Cognitive Behavior Therapy (MACT) compared with MACT only in 16 outpatients with personality disorders. The trial found among completers (n = 7) no difference in borderline symptomatology but a possible difference regarding suicidality favoring MACT + TA. The trial did not provide any outcomes relating to readiness for treatment. The other trial investigated TA compared with a Goal-focused Pretreatment Intervention in a sample of 74 outpatients with personality disorders. The results found no intervention effects on symptomatology but suggested that TA might improve patient expectancy for future treatment among completers of the intervention. Both trials were judged at a high risk of bias and with very low certainty of evidence. We found no support for the clinical effect of psychological assessment as a therapeutic intervention due to the high risk of bias and low certainty of the evidence.
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
MentalManip数据集是由Wang等人(2024b)引入的,专门用于检测和分类心理操纵的对话数据集。该数据集包含4000个多轮虚构对话,来源于在线电影剧本,并进行了多层次的标注,包括操纵的存在、操纵技巧和目标脆弱性。数据集的创建旨在通过高质量的标注确保数据的一致性和准确性,从而支持心理操纵检测的研究。
The Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.