Literature DB >> 25649274

Chronic physical comorbidity burden and the quality of depression treatment in primary care: a systematic review.

Matthew Menear1, Isabelle Doré1, Anne-Marie Cloutier2, Laure Perrier3, Pasquale Roberge4, Arnaud Duhoux5, Janie Houle6, Louise Fournier7.   

Abstract

OBJECTIVE: We examined whether the treatment and follow-up care for depression in routine primary care differs between adults with higher chronic physical comorbidity burden compared to adults with lower chronic physical comorbidity burden and explored factors leading to divergent results across studies.
METHODS: We conducted a systematic review of English and French articles using Medline, Embase, PsycINFO, CINAHL and Cochrane Controlled Trials Register from inception to July 2013. Reference list and reverse citation searches were also conducted. Search terms included depression, primary care, general practitioner, chronic disease and comorbidity. Study eligibility required inclusion of relevant quality indicators and data contrasting participants with higher and lower chronic physical comorbidity burden. Study selection and quality appraisal were carried out independently by two review authors. A narrative synthesis of results was performed.
RESULTS: Our search yielded 5817 unique citations and 46 studies met inclusion criteria. Studies provided data on quality of pharmacotherapy (n=28), psychotherapy (n=4), combined measures of treatment quality (n=14), and follow-up care (n=9). Across studies, evidence that higher chronic physical comorbidity burden was associated with lower depression treatment or follow-up care quality was reported in 13 studies whereas evidence for the opposite relationship was reported in 15 studies. Four studies reported mixed results and 14 studies observed no relationships between comorbidity burden and depression treatment or follow-up care quality.
CONCLUSION: Review findings suggest that chronic physical comorbidity does not consistently lead to lower quality of depression treatment or follow-up care in primary care.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic disease; Comorbidity; Depression; Primary care; Systematic review; Treatment

Mesh:

Substances:

Year:  2015        PMID: 25649274     DOI: 10.1016/j.jpsychores.2015.01.001

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  5 in total

1.  Performance of depression rating scales in patients with chronic kidney disease: an item response theory-based analysis.

Authors:  Marisa Toups; Thomas Carmody; Madhukar H Trivedi; A John Rush; S Susan Hedayati
Journal:  Gen Hosp Psychiatry       Date:  2016-07-25       Impact factor: 3.238

2.  German general practitioners' self-reported management of patients with chronic depression.

Authors:  Florian Wolf; Antje Freytag; Sven Schulz; Thomas Lehmann; Susann Schaffer; Horst Christian Vollmar; Thomas Kühlein; Jochen Gensichen
Journal:  BMC Psychiatry       Date:  2017-12-13       Impact factor: 3.630

3.  Primary health care quality indicators: An umbrella review.

Authors:  André Ramalho; Pedro Castro; Manuel Gonçalves-Pinho; Juliana Teixeira; João Vasco Santos; João Viana; Mariana Lobo; Paulo Santos; Alberto Freitas
Journal:  PLoS One       Date:  2019-08-16       Impact factor: 3.240

4.  A qualitative study of perceived needs and factors associated with the quality of care for common mental disorders in patients with chronic diseases: the perspective of primary care clinicians and patients.

Authors:  Pasquale Roberge; Catherine Hudon; Alan Pavilanis; Marie-Claude Beaulieu; Annie Benoit; Hélène Brouillet; Isabelle Boulianne; Anna De Pauw; Serge Frigon; Isabelle Gaboury; Martine Gaudreault; Ariane Girard; Marie Giroux; Élyse Grégoire; Line Langlois; Martin Lemieux; Christine Loignon; Alain Vanasse
Journal:  BMC Fam Pract       Date:  2016-09-13       Impact factor: 2.497

5.  Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women.

Authors:  Tianyi Huang; Raji Balasubramanian; Laura D Kubzansky; Susan E Hankinson; Yubing Yao; Clary B Clish; Aladdin H Shadyab; Buyun Liu; Shelley S Tworoger; Kathryn M Rexrode; JoAnn E Manson
Journal:  Mol Psychiatry       Date:  2020-08-28       Impact factor: 15.992

  5 in total

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