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

Congrats to Brooke Levis and the DEPRESSD Team: LDI Paper of the Month!


We are excited to share that the Lady Davis Institute for Medical Research has selected the DEPRESSD Team's recent JAMA publication as the September 2020 Paper of the Month. The project, led by Dr. Brooke Levis, combined individual participant data from 100 studies (>44,000 participants) to evaluate the screening accuracy of the PHQ-2 alone and in combination with the PHQ-9. The combination of PHQ-2 (with a cutoff of >=2) followed by the PHQ-9 (with a cutoff of >=10) was found to have 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

Our COVID-19 Living Systematic Review Project is hiring! APPLY NOW!


We are currently seeking a full-time or part-time Research Assistant to join the COVID-19 Living Systematic Review Project [PDF for more details].

  • Start Date: October 2020 (flexible); Remote working is possible

  • To apply: Interested candidates should submit (1) a cover letter, (2) a curriculum vitae, (3) an unofficial transcript, (4) a writing sample, and (5) contact information for up to three references to Sheryl Sun (ying.sun2@mail.mcgill.ca).

The position will remain open until filled. 

Team receives supplementary funding from CIHR for the living systematic review


This week, members of the team received an additional $199,836 from the CIHR to supplement previous CIHR and MI4 funding for a living systematic review on mental health during the COVID-19 pandemic. This grant supports continued work in dissemination and processing a high volume of evidence. Thank you to the CIHR! Congratulations to team members Yutong Wang, Ankur Krishnan, Kevin Jutras, Olivia Bonardi, Danielle Rice, Jill Boruff, Marleine Azar, Chen He, Dr. Sarah Markham, Sheryl Sun, Dr. Yin Wu, Ian Thombs-Vite, and Drs. Benedetti and Thombs.

Congratulations on DEPRESSD Team's new publication in Psychotherapy and Psychosomatics!


We are happy to announce that the DEPRESSD Team published a paper entitled “Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses” in Psychotherapy and Psychosomatics. This study, led by Dr. Yin Wu (DEPRESSD’s postdoctoral research fellow), combined datasets from over 200 studies (around 70,000 participants, ) and showed how different diagnostic interviews perform differently, was really important and the first meta-research synthesized IPD meta-analyses. The results suggested that, adjusting for depressive symptom levels and participant characteristics, compared to the SCID, the MINI classified major depression more often. Odds of depression classification with the CIDI increased less as symptom levels increased. Based on the findings, mental health researchers should carefully consider the interview characteristics when interpreting research that used diagnostic interviews to classify depression. Read more about the study 

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.

Our Sponsors


Contact Us

The DEPRESSD Project

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

Tel: (514) 340-8222

Email: depressdproject@gmail.com