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Background: Accurately identifying patients at an elevated risk of suicide in minimal time is an important mental health issue. Therefore, we developed the Ultra Brief Checklist for Suicidality (UBCS) and reported its psychometric properties.Methods: We studied 544 participants who had completed the UBCS, other self-report measures, and structured clinical interviews by trained interviewers. We explored the psychometric properties of the UBCS's paper-based and online versions by identifying optimal cutoff points, sensitivity, specificity, etc. of all participants.Results: The mean score of the UBCS (paper-pencil version) in the no-suicide-risk group was 0.23 (SD = 0.73), while in the Risk-Positive (RP) and the High-Risk (HR) groups it was 3.54 (SD = 3.22) and 6.31 (SD = 3.97), respectively. Optimal cutoff points for the RP and HR groups were 1 (AUC = 0.914) and 3 (AUC = 0.928), respectively.Limitations: The current findings apply only to adults, not to children or adolescents. The original MINI was used as the assessment instrument's reference standard rather than MINI 7.0.2 of DSM-5. Predictive validity was not addressed as this was not a longitudinal cohort study.Conclusions: The UBCS was rigorously tested and validated. More than half the participants completed the UBCS within a minute. It possesses adequate psychometric properties and can be easily administered with minimal clinician time and effort, via paper or Internet. We believe it can contribute to suicide risk identification and timely interventions. [ABSTRACT FROM AUTHOR]

Background: To validate the reliability and validity of the Chinese version of the THINC-it tool in adults with major depressive disorder (MDD).Methods: Subjects aged 18 to 65 years (n=117) with MDD were evaluated and compared to age- and sex-matched healthy controls (n=124). Subjects completed the THINC-it, four criteria-related objective cognitive subtests, and the paper version of Perceived Deficits Questionnaire for Depression-5-item (PDQ-5-D).Results: There were significant differences in Spotter [Mean difference (MD) Standard errors (SE)=-0.40 (0.17), P=0.018; 95% Confidence intervals (CI) (-0.73 to -0.07)]; Codebreaker [MD (SE)=-0.39 (0.14), P=0.006; 95% CI(-0.67 to -0.11)]; and the overall performance of four objective tests (including variants of IDN, OBK, DSST, and TMT-B) [MD (SE)=-0.30 (0.12), P=0.013; 95% CI (-0.53 to -0.06]) between the two groups. In the HC group, PDQ-5-D retest reliability was good (ICC = 0.841), and the test-retest reliability of the objective cognitive test was relatively low (ICC ranging from 0.123 to 0.545). In the MDD group: Cronbach's α of PDQ-5-D=0.704; all the THINC-it subtests had good concurrent validity (r ranging from 0.343 to 0.835, all P<0.01).Limitation: The test-retest sample size was relatively small, the educational level and IQ of the control and MDD groups were not completely matched.Conclusion: The Chinese version of the THINC-it tool exhibits good reliability and validity in adults with MDD. There is a need to incorporate cognitive assessment of adults with MDD broadly. The THINC-it tool is the first tool validated to assess cognition of MDD in a Chinese population. [ABSTRACT FROM AUTHOR]

Background: The Youth Anxiety Measure-I for DSM-5 has recently been developed to assess youth's anxiety symptomatology. As social anxiety is one of the most common disorders in adolescence, this scale includes a subscale measuring social anxiety. However, psychometric properties of the YAM-5-I social anxiety subscale (YAM-5-I-SAD) in clinical samples are lacking. This paper aims to bridge the gap.Methods: The sample comprised 24 clinically diagnosed and 24 healthy control Spanish-speaking adolescents aged 14-17 years.Results: Data revealed that the YAM-5- I-SAD yielded excellent sensitivity, which makes it particularly useful as a screening tool to early detect socially anxious adolescents. In addition, the YAM-5-I-SAD evidenced good internal consistency and construct validity.Limitations: Data are limited to the social anxiety subscale.Conclusions: The YAM-5-I-SAD is a sensitive and specific measure to screen for adolescents with social anxiety. [ABSTRACT FROM AUTHOR]

Background: The outcomes of psychological therapies for anxiety and depression vary across individuals and symptom domains. Being able to predict treatment response from readily available patient data at presentation has potentially important benefits in aiding decisions about the most suitable interventions for a patient. This paper presents a method of identifying subgroups of patients using latent profile analysis, and comparing response to psychological treatments between these profiles.Methods: All outpatients taken into treatment at two psychological treatment services in London, UK and who provided basic demographic information and standardized symptom measures were included in the analysis (n=16636).Results: Latent Profile Analysis was performed on intake data to identify statistically different groups of patients, which were then examined in longitudinal analyses to determine their capacity to predict treatment outcomes. Comparison between profiles showed considerable variation in recovery (74-15%), deterioration rates (5-20%), and levels of attrition (17-40%). Further variation in outcomes was found within the profiles when different intensities of psychological intervention were delivered.Limitations: Latent profiles were identified using data from two services, so generalisability to other services should be considered. Routinely collected patient data was included, additional patient information may further enhance utility of the profiles.Conclusions: These results suggest that intake data can be used to reliably classify patients into profiles that are predictive of outcome to different intensities of psychological treatment in routine care. Algorithms based on these kinds of data could be used to optimize decision-making and aid the appropriate matching of patients to treatment. [ABSTRACT FROM AUTHOR]