Bibliographic Details
| Title: |
Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies |
| Authors: |
Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham |
| Source: |
BMJ Mental Health, Vol 27, Iss 1 (2024) |
| Publisher Information: |
BMJ Publishing Group, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Psychiatry |
| Subject Terms: |
Psychiatry, RC435-571 |
| More Details: |
Background Relapse of depression is common and contributes to the overall associated morbidity and burden. We lack evidence-based tools to estimate an individual’s risk of relapse after treatment in primary care, which may help us more effectively target relapse prevention.Objective The objective was to develop and validate a prognostic model to predict risk of relapse of depression in primary care.Methods Multilevel logistic regression models were developed, using individual participant data from seven primary care-based studies (n=1244), to predict relapse of depression. The model was internally validated using bootstrapping, and generalisability was explored using internal–external cross-validation.Findings Residual depressive symptoms (OR: 1.13 (95% CI: 1.07 to 1.20), p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2755-9734 |
| Relation: |
https://mentalhealth.bmj.com/content/27/1/e301226.full; https://doaj.org/toc/2755-9734 |
| DOI: |
10.1136/bmjment-2024-301226 |
| Access URL: |
https://doaj.org/article/c4859bb2eb6f4002ae87fcb089d753f9 |
| Accession Number: |
edsdoj.4859bb2eb6f4002ae87fcb089d753f9 |
| Database: |
Directory of Open Access Journals |
