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Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis

BACKGROUND: Clinical guidelines for depression in adults recommend the use of outcome measures and stepped care models in routine care. Such measures are based on symptom severity, but response to treatment is likely to also be influenced by personal and contextual factors. This observational study...

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Autores principales: Smith, M., Francq, B., McConnachie, A., Wetherall, K., Pelosi, A., Morrison, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076946/
https://www.ncbi.nlm.nih.gov/pubmed/32183799
http://dx.doi.org/10.1186/s12888-020-02532-0
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author Smith, M.
Francq, B.
McConnachie, A.
Wetherall, K.
Pelosi, A.
Morrison, J.
author_facet Smith, M.
Francq, B.
McConnachie, A.
Wetherall, K.
Pelosi, A.
Morrison, J.
author_sort Smith, M.
collection PubMed
description BACKGROUND: Clinical guidelines for depression in adults recommend the use of outcome measures and stepped care models in routine care. Such measures are based on symptom severity, but response to treatment is likely to also be influenced by personal and contextual factors. This observational study of a routine clinical sample sought to examine the extent to which “symptom severity measures” and “complexity measures” assess different aspects of patient experience, and how they might relate to clinical outcomes, including disengagement from treatment. METHODS: Subjects with symptoms of depression (with or without comorbid anxiety) were recruited from people referred to an established Primary Care Mental Health Team using a stepped care model. Each participant completed three baseline symptom measures (the Personal Health Questionnaire (PHQ), Generalised Anxiety Disorder questionnaire (GAD) and Clinical Outcomes in Routine Evaluation (CORE-10)), and two assessments of “case complexity” (the Minnesota-Edinburgh Complexity Assessment Measure (MECAM) and a local complexity assessment). Clinician perception of likely completion of treatment and patient recovery was also assessed. Outcome measures were drop out and clinical improvement on the PHQ. RESULTS: 298 subjects were recruited to the study, of whom 258 had a sufficient dataset available for analysis. Data showed that the three measures of symptom severity used in this study (PHQ, GAD and CORE-10) seemed to be measuring distinct characteristics from those associated with the measures of case complexity (MECAM, previous and current problem count). Higher symptom severity scores were correlated with improved outcomes at the end of treatment, but there was no association between outcome and complexity measures. Clinicians could predict participant drop-out from care with some accuracy, but had no ability to predict outcome from treatment. CONCLUSIONS: These results highlight the extent to which drop-out complicates recovery from depression with or without anxiety in real-world settings, and the need to consider other factors beyond symptom severity in planning care. The findings are discussed in relation to a growing body of literature investigating prognostic indicators in the context of models of collaborative care for depression.
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spelling pubmed-70769462020-03-18 Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis Smith, M. Francq, B. McConnachie, A. Wetherall, K. Pelosi, A. Morrison, J. BMC Psychiatry Research Article BACKGROUND: Clinical guidelines for depression in adults recommend the use of outcome measures and stepped care models in routine care. Such measures are based on symptom severity, but response to treatment is likely to also be influenced by personal and contextual factors. This observational study of a routine clinical sample sought to examine the extent to which “symptom severity measures” and “complexity measures” assess different aspects of patient experience, and how they might relate to clinical outcomes, including disengagement from treatment. METHODS: Subjects with symptoms of depression (with or without comorbid anxiety) were recruited from people referred to an established Primary Care Mental Health Team using a stepped care model. Each participant completed three baseline symptom measures (the Personal Health Questionnaire (PHQ), Generalised Anxiety Disorder questionnaire (GAD) and Clinical Outcomes in Routine Evaluation (CORE-10)), and two assessments of “case complexity” (the Minnesota-Edinburgh Complexity Assessment Measure (MECAM) and a local complexity assessment). Clinician perception of likely completion of treatment and patient recovery was also assessed. Outcome measures were drop out and clinical improvement on the PHQ. RESULTS: 298 subjects were recruited to the study, of whom 258 had a sufficient dataset available for analysis. Data showed that the three measures of symptom severity used in this study (PHQ, GAD and CORE-10) seemed to be measuring distinct characteristics from those associated with the measures of case complexity (MECAM, previous and current problem count). Higher symptom severity scores were correlated with improved outcomes at the end of treatment, but there was no association between outcome and complexity measures. Clinicians could predict participant drop-out from care with some accuracy, but had no ability to predict outcome from treatment. CONCLUSIONS: These results highlight the extent to which drop-out complicates recovery from depression with or without anxiety in real-world settings, and the need to consider other factors beyond symptom severity in planning care. The findings are discussed in relation to a growing body of literature investigating prognostic indicators in the context of models of collaborative care for depression. BioMed Central 2020-03-16 /pmc/articles/PMC7076946/ /pubmed/32183799 http://dx.doi.org/10.1186/s12888-020-02532-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Smith, M.
Francq, B.
McConnachie, A.
Wetherall, K.
Pelosi, A.
Morrison, J.
Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title_full Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title_fullStr Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title_full_unstemmed Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title_short Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
title_sort clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076946/
https://www.ncbi.nlm.nih.gov/pubmed/32183799
http://dx.doi.org/10.1186/s12888-020-02532-0
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