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A number of studies validated depression screening tools; however, estimates of diagnostic accuracy were inconsistently reported. The validity of scales in practice may have been overestimated, as cutpoints were often selected post hoc based on the study sample. The NDDI-E, which performed well, was the most commonly validated screening tool, is free to the public, and is validated in multiple languages and is easy to administer, although selection of the best tool may vary depending on the setting and available resources.

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This study demonstrates that there is a great deal of variation in the reporting of quality and safety measures and in the quality and safety in EMUs. Study quality also varied considerably from one study to the next. These findings highlight the need to develop evidence-based, consensus-driven quality indicators for EMUs.

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We examined the impact of the clobazam shortage on patients with epilepsy from the patient's perspective and identified 6 important themes. As a result, we were able to gain insight into what patients need to cope with drug shortages and make recommendations that can help mitigate the impact of shortages on patients in the future. Further research is needed to better understand drug shortages from the patient's perspective in various settings and conditions.

Background: Research on the predictive validity of the Medical College Admissions Test (MCAT) on licensing examination performance is varied in its conclusions, with only a few studies examining this relationship in a Canadian context. We assessed the predictive validity of the MCAT on successful performance on the Medical Council of Canada Qualifying Examination (MCCQE) Part 1 by students attending the Cumming School of Medicine.   Methods: Prospective data were collected on MCAT score and sub-section scores, MCCQE decision, multiple mini interview (MMI) performance, gender, and age. The cohort was divided into a derivation cohort (2013 and 2014) and validation cohort (2015 and 2016). Students were dichotomized into pass or fail on MCCQE. Multiple logistic regression in which our dependent variable was MCCQE Part I examination success at the first attempt was used, and potential explanatory variables were age, gender, MCAT total score, and sub-scores for the biological sciences (MCAT-BS), physical sciences, and verbal reasoning, GPA, and MMI ratings.Results: For the derivation cohort MCAT-BS was associated with success on the MCCQE Part I. The odds ratio for this association of 1.37 (95% confidence interval [1.01, 1.85], p = 0.04). When we applied the MCAT-BS to our validation cohort the odds ratio of MCCQE Part I examination success was 1.42 [1.10, 1.83], p = 0.007) and the area under the ROC curve was 0.66 [0.54, 0.79]).Conclusion: The MCAT-BS predicted successful performance on the MCCQE Part 1 Examination in the Canadian setting.

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