Predictors of outcome following psychological therapy for depression and anxiety in an urban primary care service: a naturalistic Bayesian prediction modeling approach

Almost a third of the variance in clinical outcomes was explained by pre-treatment symptom severity scores. These constructs benefit from being rapidly accessible in healthcare services. If replicated in external samples, the early identification of patients who are less likely to recover may facilitate earlier triage to alternative interventions.

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Publication Details

Journal
Psychological Medicine
Published
2024-12-01
DOI
https://doi.org/10.1017/s0033291724001582
Citations
1
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.64

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article

Predictors of outcome following psychological therapy for depression and anxiety in an urban primary care service: a naturalistic Bayesian prediction modeling approach

Matthew H. Hotopf, André Tylee, Janet Wingrove, John Hodsoll et al.
1 citations
Psychological Medicine
Mental Health Treatment and Access
0.64
article

Predictors of outcome following psychological therapy for depression and anxiety in an urban primary care service: a naturalistic Bayesian prediction modeling approach

Matthew H. Hotopf, André Tylee, Janet Wingrove, John Hodsoll, Nina Grant, Gerome D. Breen, Rebecca Strawbridge, Paul Moran, Nick Grey, Sinéad King, Viryanaga Kitsune, Allan H. Young, Nilay Hepgul, R. Taylor, Anthony J. Cleare
article en
1 citations

Abstract

Almost a third of the variance in clinical outcomes was explained by pre-treatment symptom severity scores. These constructs benefit from being rapidly accessible in healthcare services. If replicated in external samples, the early identification of patients who are less likely to recover may facilitate earlier triage to alternative interventions.

Psychological MedicineVol. 54(16)
University of Sussex (GB), King's College London (GB), South London and Maudsley NHS Foundation Trust (GB), Sussex Partnership NHS Foundation Trust (GB), University of Bristol (GB)
Eli Lilly and Company, Biogen, South London and Maudsley NHS Foundation Trust, Sunovion, LivaNova, National Institute for Health and Care Research, Department of Health and Social Care, King's College London, University of Bristol, H. Lundbeck A/S, Allergan, NIHR Maudsley Biomedical Research Centre
Sustainable cities and communities
Openalex Percentile: Top 24%
Mental Health Treatment and Access
0.64
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