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 [version 2; peer review: 2 approved]
dc.contributor.author | Buckman, JEJ | |
dc.contributor.author | Saunders, R | |
dc.contributor.author | Cohen, ZD | |
dc.contributor.author | Clarke, K | |
dc.contributor.author | Ambler, G | |
dc.contributor.author | Derubeis, RJ | |
dc.contributor.author | Gilbody, S | |
dc.contributor.author | Hollon, SD | |
dc.contributor.author | Kendrick, T | |
dc.contributor.author | Watkins, E | |
dc.contributor.author | White, IR | |
dc.contributor.author | Lewis, G | |
dc.contributor.author | Pilling, S | |
dc.date.accessioned | 2020-02-19T14:45:15Z | |
dc.date.issued | 2019-10-28 | |
dc.description.abstract | 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 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. | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | University College London | en_GB |
dc.description.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.description.sponsorship | Royal College of Psychiatrists | en_GB |
dc.description.sponsorship | MQ Foundation | en_GB |
dc.description.sponsorship | University of Pennsylvania, Department of Psychology | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | University of Southampton | en_GB |
dc.description.sponsorship | University of Exeter | en_GB |
dc.identifier.citation | Vol. 4, article 69 | en_GB |
dc.identifier.doi | 10.12688/wellcomeopenres.15225.2 | |
dc.identifier.grantnumber | 201292 | en_GB |
dc.identifier.grantnumber | MQDS16/72 | en_GB |
dc.identifier.grantnumber | MC_UU_12023/21 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/40932 | |
dc.language.iso | en | en_GB |
dc.publisher | F1000Research / Wellcome Trust | en_GB |
dc.relation.url | https://doi.org/10.17605/OSF.IO/UX95Q | en_GB |
dc.rights | © 2019 Buckman JEJ et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Depression | en_GB |
dc.subject | Prognosis | en_GB |
dc.subject | Primary Health Care | en_GB |
dc.subject | Meta-analysis | en_GB |
dc.subject | Individual Patient Data | en_GB |
dc.subject | Systematic Review | en_GB |
dc.subject | Protocol | en_GB |
dc.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 [version 2; peer review: 2 approved] | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-02-19T14:45:15Z | |
dc.description | This is the final version. Available on open access from F1000Research via the DOI in this record. | en_GB |
dc.description | Data availability: Underlying data: No data are associated with this article Extended data: Open Science Framework: What factors indicate prognosis for adults with depression in primary care? https://doi.org/10.17605/OSF.IO/UX95Q (Buckman, 2019) This project contains the following extended data: details of missing data across dep-gp studies.docx (Missing data from included studies) Ethics approval and trial registration details for dep-gp studies.docx (Ethics approval and trial registration details of included studies) Search results_OSF.docx (Search terms and results of searches) | en_GB |
dc.identifier.eissn | 2398-502X | |
dc.identifier.journal | Wellcome Open Research | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-10-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-02-19T12:31:45Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-02-19T14:45:30Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 Buckman JEJ et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.