Co-development of a Best Practice Checklist for Mental Health Data Science: A Delphi Study.

ABSTRACT: Background: Mental health research is commonly affected by difficulties in recruiting and retaining participants, resulting in findings which are based on a sub-sample of those actually living with mental illness. Increasing the use of Big Data for mental health research, especially routinely-collected data, could improve this situation. However, steps to facilitate this must be enacted in collaboration with those who would provide the data - people with mental health conditions. Methods: We used the Delphi method to create a best practice checklist for mental health data science. Twenty participants with both expertise in data science and personal experience of mental illness worked together over three phases. In Phase 1, participants rated a list of 63 statements and added

SUBMITTER: Kirkham EJ 

PROVIDER: S-EPMC8222615 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature