Development of a harmonized sociodemographic and clinical questionnaire for mental health research: A Delphi-method-based consensus recommendation

Author:

Lotfaliany Mojtaba1,Agustini Bruno1ORCID,Walker Adam J1,Turner Alyna1,Wrobel Anna L12ORCID,Williams Lana J1,Dean Olivia M13,Miles Stephanie456,Rossell Susan L78,Berk Michael1349ORCID,Mohebbi Mohammadreza10ORCID,

Affiliation:

1. Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia

2. School of Psychology, Deakin University, Geelong, VIC, Australia

3. Florey Institute for Neuroscience & Mental Health, The University of Melbourne, Melbourne, VIC, Australia

4. Orygen, Parkville, VIC, Australia

5. Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia

6. Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia

7. Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia

8. Psychiatry, St Vincent’s Hospital, Melbourne, VIC, Australia

9. Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia

10. Biostatistics Unit, Faculty of Health, Deakin University, Burwood, VIC, Australia

Abstract

Objective: Harmonized tools are essential for reliable data sharing and accurate identification of relevant factors in mental health research. The primary objective of this study was to create a harmonized questionnaire to collect demographic, clinical and behavioral data in diverse clinical trials in adult psychiatry. Methods: We conducted a literature review and examined 24 questionnaires used in previously published randomized controlled trials in psychiatry, identifying a total of 27 domains previously explored. Using a Delphi-method process, a task force team comprising experts in psychiatry, epidemiology and statistics selected 15 essential domains for inclusion in the final questionnaire. Results: The final selection resulted in a concise set of 22 questions. These questions cover factors such as age, sex, gender, ancestry, education, living arrangement, employment status, home location, relationship status, and history of medical and mental illness. Behavioral factors like physical activity, diet, smoking, alcohol and illicit drug use were also included, along with one question addressing family history of mental illness. Income was excluded due to high confounding and redundancy, while language was included as a measure of migration status. Conclusion: The recommendation and adoption of this harmonized tool for the assessment of demographic, clinical and behavioral data in mental health research can enhance data consistency and enable comparability across clinical trials.

Publisher

SAGE Publications

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