Employing Bayesian analysis to establish a cut-off point and assess stigma prevalence in substance use disorder: a comprehensive study of the Chinese version of the Substance Use Stigma Mechanism Scale

ConclusionThe study is the first to identify a cut-off point for the SU-SMS-C by Naive Bayes classifier, bridging a major gap in stigma measurement research. SU-SMS-C may help treat and manage SUDs by reducing stigma.

http://link.springer.com/10.1007/s00127-024-02621-5

Source: Social Psychiatry and Psychiatric Epidemiology - February 27, 2024 Category: Psychiatry Source Type: research