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A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme
OBJECTIVES: This study aims to identify patient and treatment factors that affect clinical outcomes of community psychological therapy through the development of a predictive model using historic data from 2 services in London. In addition, the study aims to assess the completeness of data collectio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4442244/ https://www.ncbi.nlm.nih.gov/pubmed/25995234 http://dx.doi.org/10.1136/bmjopen-2014-006103 |
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author | Green, Stuart A Honeybourne, Emmi Chalkley, Sylvia R Poots, Alan J Woodcock, Thomas Price, Geraint Bell, Derek Green, John |
author_facet | Green, Stuart A Honeybourne, Emmi Chalkley, Sylvia R Poots, Alan J Woodcock, Thomas Price, Geraint Bell, Derek Green, John |
author_sort | Green, Stuart A |
collection | PubMed |
description | OBJECTIVES: This study aims to identify patient and treatment factors that affect clinical outcomes of community psychological therapy through the development of a predictive model using historic data from 2 services in London. In addition, the study aims to assess the completeness of data collection, explore how treatment outcomes are discriminated using current criteria for classifying recovery, and assess the feasibility and need for undertaking a future larger population analysis. DESIGN: Observational, retrospective discriminant analysis. SETTING: 2 London community mental health services that provide psychological therapies for common mental disorders including anxiety and depression. PARTICIPANTS: A total of 7388 patients attended the services between February 2009 and May 2012, of which 4393 (59%) completed therapy, or there was an agreement to end therapy, and were included in the study. PRIMARY AND SECONDARY OUTCOME MEASURES: Different combinations of the clinical outcome scores for anxiety Generalised Anxiety Disorder-7 and depression Patient Health Questionnaire-9 were used to construct different treatment outcomes. RESULTS: The predictive models were able to assign a positive or negative clinical outcome to each patient based on 5 independent pre-treatment variables, with an accuracy of 69.4% and 79.3%, respectively: initial severity of anxiety and depression, ethnicity, deprivation and gender. The number of sessions attended/missed were also important factors identified in recovery. CONCLUSIONS: Predicting whether patients are likely to have a positive outcome following treatment at entry might allow suitable modification of scheduled treatment, possibly resulting in improvements in outcomes. The model also highlights factors not only associated with poorer outcomes but inextricably linked to prevalence of common mental disorders, emphasising the importance of social determinants not only in poor health but also poor recovery. |
format | Online Article Text |
id | pubmed-4442244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44422442015-05-28 A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme Green, Stuart A Honeybourne, Emmi Chalkley, Sylvia R Poots, Alan J Woodcock, Thomas Price, Geraint Bell, Derek Green, John BMJ Open Mental Health OBJECTIVES: This study aims to identify patient and treatment factors that affect clinical outcomes of community psychological therapy through the development of a predictive model using historic data from 2 services in London. In addition, the study aims to assess the completeness of data collection, explore how treatment outcomes are discriminated using current criteria for classifying recovery, and assess the feasibility and need for undertaking a future larger population analysis. DESIGN: Observational, retrospective discriminant analysis. SETTING: 2 London community mental health services that provide psychological therapies for common mental disorders including anxiety and depression. PARTICIPANTS: A total of 7388 patients attended the services between February 2009 and May 2012, of which 4393 (59%) completed therapy, or there was an agreement to end therapy, and were included in the study. PRIMARY AND SECONDARY OUTCOME MEASURES: Different combinations of the clinical outcome scores for anxiety Generalised Anxiety Disorder-7 and depression Patient Health Questionnaire-9 were used to construct different treatment outcomes. RESULTS: The predictive models were able to assign a positive or negative clinical outcome to each patient based on 5 independent pre-treatment variables, with an accuracy of 69.4% and 79.3%, respectively: initial severity of anxiety and depression, ethnicity, deprivation and gender. The number of sessions attended/missed were also important factors identified in recovery. CONCLUSIONS: Predicting whether patients are likely to have a positive outcome following treatment at entry might allow suitable modification of scheduled treatment, possibly resulting in improvements in outcomes. The model also highlights factors not only associated with poorer outcomes but inextricably linked to prevalence of common mental disorders, emphasising the importance of social determinants not only in poor health but also poor recovery. BMJ Publishing Group 2015-05-20 /pmc/articles/PMC4442244/ /pubmed/25995234 http://dx.doi.org/10.1136/bmjopen-2014-006103 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Mental Health Green, Stuart A Honeybourne, Emmi Chalkley, Sylvia R Poots, Alan J Woodcock, Thomas Price, Geraint Bell, Derek Green, John A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title | A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title_full | A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title_fullStr | A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title_full_unstemmed | A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title_short | A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
title_sort | retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4442244/ https://www.ncbi.nlm.nih.gov/pubmed/25995234 http://dx.doi.org/10.1136/bmjopen-2014-006103 |
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