Moriarty, Andrew S, Meader, Nicholas, Snell, Kym I. E, Riley, Richard D, Paton, Lewis W, Dawson, Sarah, Hendon, Jess ORCID: https://orcid.org/0009-0005-4850-1968, Chew-Graham, Carolyn, Gilbody, Simon, Churchill, Rachel, Phillips, Robert, Shehzad, Ali and McMillan, Dean (2022) Predicting relapse or recurrence of depression: systematic review of prognostic models. The British Journal of Psychiatry, 221 (2). pp. 448-458.

Preview

Text predicting-relapse-or-recurrence-of-depression-systematic-review-of-prognostic-models.pdf - Published Version Available under License Creative Commons Attribution. Download (637kB) | Preview

Abstract

Relapse and recurrence of depression are common, contributing to the overall burden of depression globally. Accurate prediction of relapse or recurrence while patients are well would allow the identification of high-risk individuals and may effectively guide the allocation of interventions to prevent relapse and recurrence.

Item Type:	Article
Status:	Published
DOI:	10.1192/bjp.2021.218
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
School/Department:	Research Office
URI:	https://ray.yorksj.ac.uk/id/eprint/12815

University Staff: Request a correction | RaY Editors: Update this record