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
Shehzad Ali (ORCID: https://orcid.org/0000-0002-8042-3630)
Nick Meader (ORCID: https://orcid.org/0000-0001-9332-6605)
National Institute for Health Research Applied Research Collaboration West
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article
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
Shehzad Ali, Nick Meader, Jaime Delgadillo, Carolyn Chew‐Graham et al.
Citations
2 citations
Journal
BMJ Mental Health
Topics
Mental Health Treatment and Access
Field-Weighted Citation Impact (FWCI)
1.29
article
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
Shehzad Ali, Nick Meader, Jaime Delgadillo, Carolyn Chew‐Graham, Andrew S. Moriarty, Chris Salisbury, Lewis W. Paton, Peter A Coventry, Richard D Riley, Dean McMillan, Simon M. Gilbody, Kym I E Snell, Stephen Pilling, Bob Phillips, Joshua E. J. Buckman, Lucinda Archer, David A. Richards
article en
2 citations
Abstract
No abstract available for this paper.
Publication Tag
BMJ Mental HealthVol. 27(1)
Institutions
Western University (CA), Western Norway University of Applied Sciences (NO), University of Exeter (GB), University of Bristol (GB), University College London (GB), University of York (GB), Keele University (GB), Hull York Medical School (GB), University of Birmingham (GB), Newcastle University (GB), University of Sheffield (GB), Camden and Islington NHS Foundation Trust (GB)
Funders
National Institute for Health and Care Research, Birmingham Biomedical Research Centre, National Institute for Health Research Applied Research Collaboration West
Sustainable Development Goals
Peace, Justice and strong institutions, Reduced inequalities