About Us

DEPRESSD is an international collaborative project involving experts in health policy, psychiatry and statistics as well as investigators who have collected depression screening data. Our mission is to synthesize the global depression screening data in order to develop and apply rigourous methods on assessing depression screening tool accuracy that minimize bias and provide evidence to inform research and policy to improve mental health care. The project builds a database for shared usage and also provides a unique platform for trainee development, including skills in evidence synthesis and statistical modelling.


Latest News

Follow DEPRESSD Project Twitter Account!


We are happy to share that we have created a DEPRESSD Project twitter account: @DepressdP. Going forward, we will be using the platform to share updates and news about the DEPRESSD Project. Please follow us here.

Congrats to Dr. Brooke Levis and the DEPRESSD team on their JAMA publication!


We are thrilled to announce that a DEPRESSD project evaluating the screening accuracy of the PHQ-2 alone and in combination with the PHQ-9 has been published in JAMA. The study, led by Brooke Levis, synthesized data from 100 studies (>44,000 participants), and found that the combination of PHQ-2 (with a cutoff of >=2) followed by the PHQ-9 (with a cutoff of >=10) had similar accuracy to PHQ-9 alone, but reduced the number of participants needing to complete the full PHQ-9 by 57%. Access the full article here

11 presentations by team members accepted to the 2020 Cochrane Colloquium!


Congratulations to current and former team members Zelalem, Dipika, Brooke, Marleine, Yin, and Kim, who had 5 oral presentations and 6 poster presentations accepted for the 27th Cochrane Colloquium! Presentations related to the DEPRESSD Project include: individual participant data meta-analyses of PHQ-2, PHQ-9, EPDS, and HADS accuracy; selective cutoff reporting in depression screening accuracy studies; imperfect reference standards for major depression classification; and a knowledge translation tool for clinician understanding of diagnostic accuracy estimates. Presentations related to meta-research and policy include: reporting of conflicts of interest in Cochrane and non-Cochrane meta-analyses of drug trials, and factors associated with contribution of data to individual participant data meta-analyses of intervention effectiveness.

Living systematic review funded by CIHR!


This week, members of the team received $50,000 from the CIHR to supplement MI4 funding for a living systematic review on mental health during the COVID-19 pandemic. This grant supports more effective dissemination and work in processing a high volume of Chinese-language evidence. Thank you to the CIHR! Congratulations to team members Olivia Bonardi, Danielle Rice, Jill Boruff, Marleine Azar, Chen He, Dr. Sarah Markham, Sheryl Sun, Dr. Yin Wu, Ankur Krishnan, Ian Thombs-Vite, and Drs. Benedetti and Thombs.

Congratulations to Zelalem Negeri whose oral presentation was accepted at the JSM 2020 Meetings in Philadelphia, USA


Dr. Zelalem Negeri’s latent class modelling for individual participant data meta-analysis (IPDMA) titled Latent class models for individual participant data meta-analyses of diagnostic test accuracy studies with imperfect reference standards” was accepted for an oral presentation at the 2020 Joint Statistical Meetings (JSM) to be held in Philadelphia, Pennsylvania from August 1-6, 2020. Dr. Negeri’s work aimed to propose and evaluate both Frequentist and Bayesian latent class models for IPDMA in the presence of imperfect reference standards. The proposed statistical methods will be illustrated using the Patient Health Questionnaire-9 (PHQ-9) database, which constitutes 100 studies, more than 44,000 participants and over 4,500 major depression cases. The JSM is the largest gatherings of statisticians in North America, and it attracts more than 1000 participants each year.

Congratulations to Zelalem Negeri on winning 2nd place at the 2020 EBOSS Poster Presentations


Dr. Zelalem Negeri’s poster presentation entitled won the 2nd best poster presentation award worth $50.00 at the 2020 McGill University’s EBOSS Research Day. Dr. Negeri’s work showed that, among other things, the diagnostic test accuracy of the PHQ-9 was better when compared with semi-structured reference standards than with fully structured or the MINI reference standards and that sex and age of participants were significantly associated with the specificities of the PHQ-9.

DEPRESSD article was one of the top downloaded in recent publication history!


We are excited to share that our research "Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta‐analysis" is among the top 10% most downloaded papers!Among work published between January 2018 and December 2019, our research received some of the most downloads in the 12 months following online publication and generated immediate impact and helped to raise the visibility of the International Journal of Methods in Psychiatric Research. Read more about the study

DEPRESSD team funded for living systematic review on mental health in COVID-19


This week, members of the team received $65,000 from the McGill Interdisciplinary Initiative in Infection and Immunity (MI4)'s Emergency COVID-19 Research Funding Program to conduct a living systematic review on mental health during the COVID-19 pandemic. The objectives of this living systematic review are to evaluate (1) changes in mental health symptoms; (2) factors associated with levels or changes in symptoms during COVID-19; and (3) the effect of interventions on mental health symptoms during COVID-19. A huge thank-you to the MI4 initiative who generously supports this important research project during these trying times. Congratulations for team members Olivia Bonardi, Danielle Rice, Jill Boruff, Marleine Azar, Chen He, Dr. Sarah Markham, Sheryl Sun, Dr. Yin Wu, Ankur Krishnan, Ian Thombs-Vite, and Drs. Benedetti and Thombs. 


Contact Us

The DEPRESSD Project

4333 Chemin de la Côte-Sainte-Catherine, Montréal, H3T 1E2 Canada

Tel: (514) 340-8222

Email: depressdproject@gmail.com