METHODS: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores.
RESULTS: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)).
CONCLUSION: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.
METHOD: A total of 386 participants from an urban area, aged between 8 and 17, completed the 41-item SCARED. Confirmatory factor analysis and exploratory factor analysis were performed to investigate the factor structure of the SCARED.
RESULTS: Internal consistency ratings for the SCARED's total and subscale scores were good, except for School Avoidance. The validity of the SCARED was further demonstrated through a significant correlation with the Internalizing subscale of the Strength and Difficulties Questionnaire (SDQ). In contrast with the five-factor structure proposed for primarily Caucasian samples, factor analysis revealed a four-factor structure for this Malaysian sample.
CONCLUSIONS: These research findings support the validity of the SCARED and its utility as a screening tool in a community sample of Malaysian children and adolescents.
METHOD: A total of 382 Malaysian adults completed a Malay translation of the SPQ. Confirmatory factory analysis was used to examine the fit of 3- and 4-factor solutions for the higher-order dimensionality of the SPQ. Ethnic invariance for the best-fitting model was tested at the configural, metric, and scalar levels, and a multivariate analysis of variance was used to examine sex and ethnicity differences in domain scores.
RESULTS: The 4-factor model provided a better fit to the data than did the 3-factor model. The 4-factor model also demonstrated partial measurement invariance across ethnic groups. Latent mean comparisons for sex and ethnicity revealed a number of significant differences for both factors, but effect sizes were small.
DISCUSSION: The 4-factor structure of the SPQ received confirmatory support and can be used in Malay-speaking populations.
METHOD: Psychiatric patients were eligible for recruitment to the study, when they fulfilled the following criteria: a diagnosis of schizophrenia, were aged between 18- and 65-years-old, and were able to give consent themselves. We recruited 118 individuals with schizophrenia. They were selected via systematic random sampling technique. All RSA-PIRV-M items were derived from the parent scale. These items were translated based on established procedures. The reliability estimates of the RSA-PIRV-M were based on Cronbach's alpha. We performed confirmatory factor analyses to examine the factor structure of the RSA-PIRV-M.
RESULTS: All Cronbach's alphas for the RSA-PIRV-M subscales were at least .70. With respect to the factor structure of the RSA-PIRV-M, our structural equation modeling findings suggest a five-factor model encompassing life goals, involvement, diversity of treatment options, choice, and individually-tailored services.
CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The interpretation of our findings is limited by small sample size, unique sample characteristics, and lack of further evidence for convergent validity. Notwithstanding these limitations, the RSA-PIRV-M is a promising tool in bridging gaps between our knowledge on recovery orientation and existing mental health service provision in Malaysia. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10.
METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview.
RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88).
CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.