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What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database

Background: Pre-treatment severity is a key indicator of prognosis for those with depression. Knowledge is limited on how best to encompass severity of disorders. A number of non-severity related factors such as social support and life events are also indicators of prognosis. It is not clear whether...

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Autores principales: Buckman, Joshua E.J., Saunders, Rob, Cohen, Zachary D., Clarke, Katherine, Ambler, Gareth, DeRubeis, Robert J., Gilbody, Simon, Hollon, Steven D., Kendrick, Tony, Watkins, Edward, White, Ian R., Lewis, Glyn, Pilling, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880263/
https://www.ncbi.nlm.nih.gov/pubmed/31815189
http://dx.doi.org/10.12688/wellcomeopenres.15225.3
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author Buckman, Joshua E.J.
Saunders, Rob
Cohen, Zachary D.
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
White, Ian R.
Lewis, Glyn
Pilling, Stephen
author_facet Buckman, Joshua E.J.
Saunders, Rob
Cohen, Zachary D.
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
White, Ian R.
Lewis, Glyn
Pilling, Stephen
author_sort Buckman, Joshua E.J.
collection PubMed
description Background: Pre-treatment severity is a key indicator of prognosis for those with depression. Knowledge is limited on how best to encompass severity of disorders. A number of non-severity related factors such as social support and life events are also indicators of prognosis. It is not clear whether this holds true after adjusting for pre-treatment severity as a) a depressive symptom scale score, and b) a broader construct encompassing symptom severity and related indicators: “disorder severity”. In order to investigate this, data from the individual participants of clinical trials which have measured a breadth of “disorder severity” related factors are needed. Aims: 1) To assess the association between outcomes for adults seeking treatment for depression and the severity of depression pre-treatment, considered both as i) depressive symptom severity only and ii) “disorder severity” which includes depressive symptom severity and comorbid anxiety, chronicity, history of depression, history of previous treatment, functional impairment and health-related quality of life. 2) To determine whether i) social support, ii) life events, iii) alcohol misuse, and iv) demographic factors (sex, age, ethnicity, marital status, employment status, level of educational attainment, and financial wellbeing) are prognostic indicators of outcomes, independent of baseline “disorder severity” and the type of treatment received. Methods: Databases were searched for randomised clinical trials (RCTs) that recruited adults seeking treatment for depression from their general practitioners and used the same diagnostic and screening instrument to measure severity at baseline – the Revised Clinical Interview Schedule; outcome measures could differ between studies. Chief investigators of all studies meeting inclusion criteria were contacted and individual patient data (IPD) were requested. Conclusions: In total 15 RCTs met inclusion criteria. The Dep-GP database will include the 6271 participants from the 13 studies that provided IPD. This protocol outlines how these data will be analysed. Registration: PROSPERO CRD42019129512 (01/04/2019)
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spelling pubmed-68802632019-12-05 What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database Buckman, Joshua E.J. Saunders, Rob Cohen, Zachary D. Clarke, Katherine Ambler, Gareth DeRubeis, Robert J. Gilbody, Simon Hollon, Steven D. Kendrick, Tony Watkins, Edward White, Ian R. Lewis, Glyn Pilling, Stephen Wellcome Open Res Study Protocol Background: Pre-treatment severity is a key indicator of prognosis for those with depression. Knowledge is limited on how best to encompass severity of disorders. A number of non-severity related factors such as social support and life events are also indicators of prognosis. It is not clear whether this holds true after adjusting for pre-treatment severity as a) a depressive symptom scale score, and b) a broader construct encompassing symptom severity and related indicators: “disorder severity”. In order to investigate this, data from the individual participants of clinical trials which have measured a breadth of “disorder severity” related factors are needed. Aims: 1) To assess the association between outcomes for adults seeking treatment for depression and the severity of depression pre-treatment, considered both as i) depressive symptom severity only and ii) “disorder severity” which includes depressive symptom severity and comorbid anxiety, chronicity, history of depression, history of previous treatment, functional impairment and health-related quality of life. 2) To determine whether i) social support, ii) life events, iii) alcohol misuse, and iv) demographic factors (sex, age, ethnicity, marital status, employment status, level of educational attainment, and financial wellbeing) are prognostic indicators of outcomes, independent of baseline “disorder severity” and the type of treatment received. Methods: Databases were searched for randomised clinical trials (RCTs) that recruited adults seeking treatment for depression from their general practitioners and used the same diagnostic and screening instrument to measure severity at baseline – the Revised Clinical Interview Schedule; outcome measures could differ between studies. Chief investigators of all studies meeting inclusion criteria were contacted and individual patient data (IPD) were requested. Conclusions: In total 15 RCTs met inclusion criteria. The Dep-GP database will include the 6271 participants from the 13 studies that provided IPD. This protocol outlines how these data will be analysed. Registration: PROSPERO CRD42019129512 (01/04/2019) F1000 Research Limited 2020-04-01 /pmc/articles/PMC6880263/ /pubmed/31815189 http://dx.doi.org/10.12688/wellcomeopenres.15225.3 Text en Copyright: © 2020 Buckman JEJ et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Buckman, Joshua E.J.
Saunders, Rob
Cohen, Zachary D.
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
White, Ian R.
Lewis, Glyn
Pilling, Stephen
What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title_full What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title_fullStr What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title_full_unstemmed What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title_short What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database
title_sort what factors indicate prognosis for adults with depression in primary care? a protocol for meta-analyses of individual patient data using the dep-gp database
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880263/
https://www.ncbi.nlm.nih.gov/pubmed/31815189
http://dx.doi.org/10.12688/wellcomeopenres.15225.3
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