Socioeconomic indicators of treatment prognosis for adults with depression: A Systematic Review and Individual Patient Data Meta-analysis
Socioeconomic indicators of treatment prognosis for adults with depression: A Systematic Review and Individual Patient Data Meta-analysis
Importance: Socioeconomic factors are associated with the prevalence of depression, but their associations with prognosis are unknown. Understanding this association would aid in the clinical management of depression.
Objective: To determine whether employment status, financial strain, housing status, and educational attainment inform prognosis for adults treated for depression in primary care, independent of treatment and after accounting for clinical prognostic factors.
Data Sources: The Embase, International Pharmaceutical Abstracts, MEDLINE, PsycINFO, and Cochrane (CENTRAL) databases were searched from database inception to October 8, 2021.
Study Selection: Inclusion criteria were as follows: randomized clinical trials that used the Revised Clinical Interview Schedule (CIS-R; the most common comprehensive screening and diagnostic measure of depressive and anxiety symptoms in primary care randomized clinical trials), measured socioeconomic factors at baseline, and sampled patients with unipolar depression who sought treatment for depression from general physicians/practitioners or who scored 12 or more points on the CIS-R. Exclusion criteria included patients with depression secondary to a personality or psychotic disorder or neurologic condition, studies of bipolar or psychotic depression, studies that included children or adolescents, and feasibility studies. Studies were independently assessed against inclusion and exclusion criteria by 2 reviewers.
Data Extraction and Synthesis: Data were extracted and cleaned by data managers for each included study, further cleaned by multiple reviewers, and cross-checked by study chief investigators. Risk of bias and quality were assessed using the Quality in Prognosis Studies (QUIPS) and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) tools, respectively. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses-Individual Participant Data (PRISMA-IPD) reporting guidelines.
Main Outcomes and Measures: Depressive symptoms at 3 to 4 months after baseline.
Results: This systematic review and individual patient data meta-analysis identified 9 eligible studies that provided individual patient data for 4864 patients (mean [SD] age, 42.5 (14.0) years; 3279 women [67.4%]). The 2-stage random-effects meta-analysis end point depressive symptom scale scores were 28% (95% CI, 20%-36%) higher for unemployed patients than for employed patients and 18% (95% CI, 6%-30%) lower for patients who were homeowners than for patients living with family or friends, in hostels, or homeless, which were equivalent to 4.2 points (95% CI, 3.6-6.2 points) and 2.9 points (95% CI, 1.1-4.9 points) on the Beck Depression Inventory II, respectively. Financial strain and educational attainment were associated with prognosis independent of treatment, but unlike employment and housing status, there was little evidence of associations after adjusting for clinical prognostic factors.
Conclusions and Relevance: Results of this systematic review and meta-analysis revealed that unemployment was associated with a poor prognosis whereas home ownership was associated with improved prognosis. These differences were clinically important and independent of the type of treatment received. Interventions that address employment or housing difficulties could improve outcomes for patients with depression.
406-416
Buckman, Joshua E.J.
72f4352d-7903-416f-82df-f69d90308129
Saunders, Rob
14f8666e-a131-4130-a7b1-a358d84d5cb2
Stott, Joshua
80bc99ca-a7c6-4280-84d6-81f009f963a6
Cohen, Zachary D.
2ac2bcd9-b47b-458c-a241-cccd311c1e8a
Arundell, Laura-Louise
524da148-b2b7-4618-b319-18d2fab24e44
Eley, Thalia C.
d9e3a546-3c35-4207-b074-2ced31f91f94
Hollon, Steven D.
faca54db-7076-4c3c-955e-03333b2e7a54
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Ambler, Gareth
8025b7a7-77da-48db-8167-4349def61f7d
Watkins, Edward
4474dca0-035b-4aba-b3fb-b6d7180abfb9
Gilbody, Simon
e41054cb-f542-427c-86d0-27dc800faf87
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837
Richards, David
a58ea81e-443d-4dab-8d97-55d76a43d57e
Brabyn, Sally
aae0a41d-5239-46e8-a5d5-a54809f7afb2
Littlewood, Elizabeth
49eaf7da-20eb-4857-b5f4-67c06ecbb199
DeRubeis, Robert J
311dbb2e-7779-4c26-95fb-895a3853284c
Lewis, Glyn
64d33857-c138-4d24-96c9-f91219acce46
Pilling, Stephen
f8b9c11e-7720-493c-8739-7813980ff3e4
9 March 2022
Buckman, Joshua E.J.
72f4352d-7903-416f-82df-f69d90308129
Saunders, Rob
14f8666e-a131-4130-a7b1-a358d84d5cb2
Stott, Joshua
80bc99ca-a7c6-4280-84d6-81f009f963a6
Cohen, Zachary D.
2ac2bcd9-b47b-458c-a241-cccd311c1e8a
Arundell, Laura-Louise
524da148-b2b7-4618-b319-18d2fab24e44
Eley, Thalia C.
d9e3a546-3c35-4207-b074-2ced31f91f94
Hollon, Steven D.
faca54db-7076-4c3c-955e-03333b2e7a54
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Ambler, Gareth
8025b7a7-77da-48db-8167-4349def61f7d
Watkins, Edward
4474dca0-035b-4aba-b3fb-b6d7180abfb9
Gilbody, Simon
e41054cb-f542-427c-86d0-27dc800faf87
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837
Richards, David
a58ea81e-443d-4dab-8d97-55d76a43d57e
Brabyn, Sally
aae0a41d-5239-46e8-a5d5-a54809f7afb2
Littlewood, Elizabeth
49eaf7da-20eb-4857-b5f4-67c06ecbb199
DeRubeis, Robert J
311dbb2e-7779-4c26-95fb-895a3853284c
Lewis, Glyn
64d33857-c138-4d24-96c9-f91219acce46
Pilling, Stephen
f8b9c11e-7720-493c-8739-7813980ff3e4
Buckman, Joshua E.J., Saunders, Rob, Stott, Joshua, Cohen, Zachary D., Arundell, Laura-Louise, Eley, Thalia C., Hollon, Steven D., Kendrick, Tony, Ambler, Gareth, Watkins, Edward, Gilbody, Simon, Kessler, David, Wiles, Nicola, Richards, David, Brabyn, Sally, Littlewood, Elizabeth, DeRubeis, Robert J, Lewis, Glyn and Pilling, Stephen
(2022)
Socioeconomic indicators of treatment prognosis for adults with depression: A Systematic Review and Individual Patient Data Meta-analysis.
JAMA Psychiatry, 79 (5), .
(doi:10.1001/jamapsychiatry.2022.0100).
Abstract
Importance: Socioeconomic factors are associated with the prevalence of depression, but their associations with prognosis are unknown. Understanding this association would aid in the clinical management of depression.
Objective: To determine whether employment status, financial strain, housing status, and educational attainment inform prognosis for adults treated for depression in primary care, independent of treatment and after accounting for clinical prognostic factors.
Data Sources: The Embase, International Pharmaceutical Abstracts, MEDLINE, PsycINFO, and Cochrane (CENTRAL) databases were searched from database inception to October 8, 2021.
Study Selection: Inclusion criteria were as follows: randomized clinical trials that used the Revised Clinical Interview Schedule (CIS-R; the most common comprehensive screening and diagnostic measure of depressive and anxiety symptoms in primary care randomized clinical trials), measured socioeconomic factors at baseline, and sampled patients with unipolar depression who sought treatment for depression from general physicians/practitioners or who scored 12 or more points on the CIS-R. Exclusion criteria included patients with depression secondary to a personality or psychotic disorder or neurologic condition, studies of bipolar or psychotic depression, studies that included children or adolescents, and feasibility studies. Studies were independently assessed against inclusion and exclusion criteria by 2 reviewers.
Data Extraction and Synthesis: Data were extracted and cleaned by data managers for each included study, further cleaned by multiple reviewers, and cross-checked by study chief investigators. Risk of bias and quality were assessed using the Quality in Prognosis Studies (QUIPS) and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) tools, respectively. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses-Individual Participant Data (PRISMA-IPD) reporting guidelines.
Main Outcomes and Measures: Depressive symptoms at 3 to 4 months after baseline.
Results: This systematic review and individual patient data meta-analysis identified 9 eligible studies that provided individual patient data for 4864 patients (mean [SD] age, 42.5 (14.0) years; 3279 women [67.4%]). The 2-stage random-effects meta-analysis end point depressive symptom scale scores were 28% (95% CI, 20%-36%) higher for unemployed patients than for employed patients and 18% (95% CI, 6%-30%) lower for patients who were homeowners than for patients living with family or friends, in hostels, or homeless, which were equivalent to 4.2 points (95% CI, 3.6-6.2 points) and 2.9 points (95% CI, 1.1-4.9 points) on the Beck Depression Inventory II, respectively. Financial strain and educational attainment were associated with prognosis independent of treatment, but unlike employment and housing status, there was little evidence of associations after adjusting for clinical prognostic factors.
Conclusions and Relevance: Results of this systematic review and meta-analysis revealed that unemployment was associated with a poor prognosis whereas home ownership was associated with improved prognosis. These differences were clinically important and independent of the type of treatment received. Interventions that address employment or housing difficulties could improve outcomes for patients with depression.
Text
jamapsychiatry_buckman_2022_oi_220004_1646792725.75755 (2)
- Version of Record
More information
Accepted/In Press date: 8 January 2022
e-pub ahead of print date: 9 March 2022
Published date: 9 March 2022
Additional Information:
Funding Information:
reported receiving grants from the Wellcome Trust and the Royal College of Psychiatrists. Dr Saunders reported receiving a grant from the Royal College of Psychiatrists. Dr Stott reported receiving 2 grants from the Alzheimer’s Society, a grant from the Economic and Social Research Council/National Institute for Health Research funding initiative, a grant from Dunhill Medical Trust, and a grant from the National Institute for Health Research. Dr Cohen reported receiving a grant from the MQ Foundation (MQDS16/72). Dr Eley reported receiving a grant from the National Institute for Health Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. Dr Watkins reported receiving grants from the Medical Research Council, European Union Horizon 2020 Research and Innovation Programme, the Cornwall NHS Foundation Partnership Trust, the South West Peninsula Academic Health Services Network, and the Seventh Framework Programme of the European Commission. Drs Gilbody, Wiles, Kessler, Richards, Kendrick, and Lewis reported receiving a grant from the National Institute of Health Research. Dr Pilling reported receiving grants from the Royal College of Psychiatrists, the National Institute of Health Research University College London Hospitals Biomedical Research Centre, and funding from Higher Education England. No other disclosures were reported.
Funding Information:
Funding/Support: This work was supported in part a clinical research fellowship (201292/Z/16/Z) from the Wellcome Trust (Dr Buckman); grant MQDS16/ 72 from the MQ Foundation (Dr Cohen); the Royal College of Psychiatrists, the National Institute of Health Research, and the National Institute of Health Research University College London Hospitals Biomedical Research Centre (Dr Pilling); the University College London (Drs Ambler and Lewis); Vanderbilt University (Dr Hollon); the University of Southampton (Dr Kendrick); the University of Exeter (Dr Watkins); and the University of York (Dr Gilbody); grant 457 (AS-PG-18-013) from the Alzheimer’s Society (Dr Stott); the Maudsley NHS Foundation Trust; and King’s College London.
Publisher Copyright:
© 2022 American Medical Association. All rights reserved.
Identifiers
Local EPrints ID: 456095
URI: http://eprints.soton.ac.uk/id/eprint/456095
ISSN: 2168-6238
PURE UUID: 8ded219a-f7ef-4c3b-9fc0-d3118879d2b1
Catalogue record
Date deposited: 26 Apr 2022 14:49
Last modified: 30 May 2024 01:35
Export record
Altmetrics
Contributors
Author:
Joshua E.J. Buckman
Author:
Rob Saunders
Author:
Joshua Stott
Author:
Zachary D. Cohen
Author:
Laura-Louise Arundell
Author:
Thalia C. Eley
Author:
Steven D. Hollon
Author:
Gareth Ambler
Author:
Edward Watkins
Author:
Simon Gilbody
Author:
David Kessler
Author:
Nicola Wiles
Author:
Sally Brabyn
Author:
Elizabeth Littlewood
Author:
Robert J DeRubeis
Author:
Glyn Lewis
Author:
Stephen Pilling
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics