Name: Chen He

Email: chen.he3@mail.mcgill.ca

Position: Research and Synthesis Analytical Coordinator

Biography:

Chen has over 5 years of experience in research and analysis, developing and implementing research protocols and scientific papers. In addition, she has over 2 years of experience in website development and management. Chen got her master's degree in Public Health at McGill University and  Bachelor’s degree in Public Health at the University of Washington. Her research with DEPRESSED focuses on individual participant data meta-analyses on the diagnostic accuracy of depression screening tools such as The Patient Health Questionnaire (PHQ), The Geriatric Depression Scale (GDS), Edinburgh Postnatal Depression Scale (EPDS) and Hospital Anxiety and Depression Scale (HADS). She is interested in data analysis, systematic review, evidence synthesis, disease prevention and health promotion.

Awards:

- Graduate Excellence Fellowship. Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 2018

 

Publications:

1.    Thombs BD, Levis B, Lyubenova A, Neupane D, Negeri Z, Wu Y, Sun Y, He C…Overestimation of postpartum depression prevalence based on a 5-item version of the EPDS: systematic review and individual participant data meta-analysis. Can J Psychiatry. 2020;65:835-44. 
2.    Harel D, Levis B, Ishihara M, Levis AW, Vigod SN, Howard LM, Thombs BD, Benedetti A, DEPRESsion Screening Data (DEPRESSD) EPDS Collaboration, Sun Y, He C. Shortening the Edinburgh Postnatal Depression Scale using Optimal Test Assembly Methods: Development of the EPDS‐Dep‐5. Acta Psychiatrica Scandinavica. 2020 Dec 22.
3.    Wu Y, Kwakkenbos L, Henry RS, Tao L, Harb S, Bourgeault A, Carrier ME, Levis B, Sun Y, Bhandari PM, Carboni-Jiménez A, Gagarine M, He C…Validation of the COVID-19 fears questionnaires for chronic medical conditions: A scleroderma patient-centered intervention network COVID-19 cohort study. J Psychosom Res. 2020 Dec 1;139:110271.
4.    Levis B, Negeri Z, Sun Y, Benedetti A, Thombs BD, He C.... Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression: systematic review and meta-analysis of individual participant data. BMJ. 2020; 371. 
5.    Brehaut E, Neupane D, Levis B, Wu Y, Sun Y, Krishnan A, He C…Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis. J Psychosom Res. 2020 Dec 1;139:110256.
6.    Lyubenova A, Neupane D, Levis B, Wu Y, Sun Y, He C…Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta‐analysis. Int J Methods Psychiatr Res. 2020 Oct 22:e1860.
7.    Levis B, Sun Y, He C…Accuracy of the PHQ-2 alone and in combination with the PHQ-9 for screening to detect major depression: an individual participant data meta-analysis. JAMA. 2020;323(22):2290-3000.
8.    Thombs BD, Kwakkenbos L, Carrier ME, Bourgeault A, Tao L, Harb S, Gagarine M, Rice D, Bustamante L, Ellis K, Duchek D. Wu Y, Krishnan A, Sun Y, Levis B, He C… Protocol for a partially nested randomised controlled trial to evaluate the effectiveness of the scleroderma patient-centered intervention network COVID-19 home-isolation activities together (SPIN-CHAT) program to reduce anxiety among at-risk scleroderma patients. J Psychosom Res. 2020 Aug 1;135:110132.
9.    Thombs B, Tao L, Wu Y, Levis B, Sun Y, Bourgeault A, Bhandari PM, Jimenez AC, Gagarine M, Harb S, He C...Preliminary COVID-19 fears questionnaire: systemic sclerosis and chronic medical conditions versions.
10.    Thombs BD, Bonardi O, Rice DB, Boruff JT, Azar M, He C…Curating evidence on mental health during COVID-19: A living systematic review. J Psychosom Res. 2020 Apr 27.
11.    Levis B, Benedetti A, Ioannidis JPA, Sun Y, Negeri Z, He C… Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis. J Clin Epidemiol. 2020 Jun;122:115-128.e1.
12.    Wu Y, Levis B, Sun Y, Krishnan A, He C… Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: an individual participant data meta-analysis of 73 primary studies. J Psychosom Res. 2020;129:109892.
13.    He C, Levis B, Riehm K, E… The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis. Psychother Psychosom. 2020;89:25-37.
14.    Levis B, McMillan D, Sun Y, He C… 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. Int J Methods Psychiatr Res. 2019;28(4):e1803.
15.    Levis B, Yan XW, He C… A comparison of depression prevalence estimates in meta-analyses based on screening tools and rating scales versus diagnostic interviews: a meta-research review. BMC Med. 2019;17:65.

16.    Faust L, Abdi K, Davis K, He C, Mehrotra C, Stibolt E. The Roll-out of Child-friendly Fixed-dose Combination TB Formulations in High-TB-Burden Countries: A Case Study of STEP-TB. Journal of epidemiology and global health. 2019 Aug;9(3):210-6.

 

Presentations:

  1. Levis B, Dehtiarova Y, Sun Y, Wu Y, Benedetti A, Thombs BD, He C... depressionscreening100.com/phq: a practice-based perspective to using the Patient Health Questionnaire-9 to screen for depression. 2020 Cochrane Colloquium. Toronto, Ontario, Canada. October 2020. [cancelled due to COVID-19].

  2. Levis B, Negeri Z, Sun Y, Benedetti A, Thombs BD, He C... Screening for depression in pregnant and postpartum women: an individual participant data meta-analysis of the Edinburgh Postnatal Depression Scale. 2020 Cochrane Colloquium. Toronto, Ontario, Canada. October 2020. [cancelled due to COVID-19].

  3. Levis B, Sun Y, He C…Screening for depression with the Patient Health Questionnaire-2 (PHQ-2) alone and in combination with the PHQ-9: individual participant data meta-analysis. 2020 Cochrane Colloquium. Toronto, Ontario, Canada. October 2020. [cancelled due to COVID-19].

  4. He C, Levis B, Thombs BD, Benedetti A, and the DEPRESSD Research Group. The diagnostic accuracy of the Patient Health Questionaire-9 (PHQ-9) algorithm for detecting major depression: An individual participant data meta-analysis. Tenth Annual Lady Davis Institute for Medical Research Scientific Retreat. Montreal, Quebec, Canada. May 2019. 

  5. He C, Levis B, Thombs BD, Benedetti A, and the DEPRESSD Research Group. The diagnostic accuracy of the Patient Health Questionaire-9 (PHQ-9) algorithm for detecting major depression: An individual participant data meta-analysis. McGill Epidemiology, Biostatistics and Occupational Health 12th Annual Student Research Day. Montreal, Quebec, Canada. March 2019. 

  6. Levis B, Yan XW, He C, Benedetti A, Thombs BD. Overestimation of depression prevalence in meta-analyses via the inclusion of primary studies that assessed depression using screening tools or rating scales rather than validated diagnostic interviews. Preventing Overdiagnosis 2018. Copenhagen, Denmark. August 2018.

  7. Levis B, Yan XW, He C, Benedetti A, Thombs BD. Overestimation of depression prevalence in meta-analyses via the inclusion of primary studies that assessed depression using screening tools or rating scales rather than validated diagnostic interviews. Too Much Medicine Symposium. Helsinki, Finland. August 2018.