Characteristics of effective collaborative care for treatment of depression: a systematic review and meta-regression of 74 randomised controlled trials

Peter A Coventry, Joanna L Hudson, Evangelos Kontopantelis, Janine Archer, David A Richards, Simon Gilbody, Karina Lovell, Chris Dickens, Linda Gask, Waquas Waheed, Peter Bower, Peter A Coventry, Joanna L Hudson, Evangelos Kontopantelis, Janine Archer, David A Richards, Simon Gilbody, Karina Lovell, Chris Dickens, Linda Gask, Waquas Waheed, Peter Bower

Abstract

Background: Collaborative care is a complex intervention based on chronic disease management models and is effective in the management of depression. However, there is still uncertainty about which components of collaborative care are effective. We used meta-regression to identify factors in collaborative care associated with improvement in patient outcomes (depressive symptoms) and the process of care (use of anti-depressant medication).

Methods and findings: Systematic review with meta-regression. The Cochrane Collaboration Depression, Anxiety and Neurosis Group trials registers were searched from inception to 9th February 2012. An update was run in the CENTRAL trials database on 29th December 2013. Inclusion criteria were: randomised controlled trials of collaborative care for adults ≥18 years with a primary diagnosis of depression or mixed anxiety and depressive disorder. Random effects meta-regression was used to estimate regression coefficients with 95% confidence intervals (CIs) between study level covariates and depressive symptoms and relative risk (95% CI) and anti-depressant use. The association between anti-depressant use and improvement in depression was also explored. Seventy four trials were identified (85 comparisons, across 21,345 participants). Collaborative care that included psychological interventions predicted improvement in depression (β coefficient -0.11, 95% CI -0.20 to -0.01, p = 0.03). Systematic identification of patients (relative risk 1.43, 95% CI 1.12 to 1.81, p = 0.004) and the presence of a chronic physical condition (relative risk 1.32, 95% CI 1.05 to 1.65, p = 0.02) predicted use of anti-depressant medication.

Conclusion: Trials of collaborative care that included psychological treatment, with or without anti-depressant medication, appeared to improve depression more than those without psychological treatment. Trials that used systematic methods to identify patients with depression and also trials that included patients with a chronic physical condition reported improved use of anti-depressant medication. However, these findings are limited by the observational nature of meta-regression, incomplete data reporting, and the use of study aggregates.

Conflict of interest statement

Competing Interests: The authors have been/are involved in the conduct of trials of collaborative care in the United Kingdom funded by the Medical Research Council and the National Institute for Health Research. PC can confirm (on behalf of all authors) that the involvement of some of the study team in collaborative care trials funded by MRC/NIHR does not alter adherence to all PLOS ONE policies on sharing data and materials.

Figures

Figure 1. PRISMA Flow Diagram.
Figure 1. PRISMA Flow Diagram.

References

    1. Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, et al. (2013) Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010. PLoS Med 10: e1001547.
    1. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, et al. (2007) Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet 370: 851–858.
    1. Wagner EH, Austin BT, Michael Von K (1996) Organizing Care for Patients with Chronic Illness. The Milbank Quarterly 74: 511–544.
    1. Bodenheimer T, Wagner EH, Grumbach K (2002) Improving primary care for patients with chronic illness. JAMA 288: 1775–1779.
    1. Furukawa TA, Yoshimura R, Harai H, Imaizumi T, Takeuchi H, et al. (2009) How many well vs. unwell days can you expect over 10 years, once you become depressed? Acta Psychiatrica Scandinavica 119: 290–297.
    1. Tsai AC, Morton SC, Mangione CM, Keeler EB (2005) A meta-analysis of interventions to improve care for chronic illnesses. American Journal of Managed Care 11: 478–488.
    1. Gunn J, Diggens J, Hegarty K, Blashki G (2006) A systematic review of complex system interventions designed to increase recovery from depression in primary care. BMC Health Serv Res 6: 88.
    1. Archer J, Bower P, Gilbody S, Lovell K, Richards D, et al. (2012) Collaborative care for depression and anxiety problems. Cochrane Database Syst Rev 10: CD006525.
    1. Gilbody S, Bower P, Whitty P (2006) Costs and consequences of enhanced primary care for depression: systematic review of randomised economic evaluations. Br J Psychiatry 189: 297–308.
    1. Katon W, Unutzer J (2006) Collaborative care models for depression: time to move from evidence to practice. Arch Intern Med 166: 2304–2306.
    1. Bower P, Gilbody S, Richards D, Fletcher J, Sutton A (2006) Collaborative care for depression in primary care. Making sense of a complex intervention: systematic review and meta-regression. Br J Psychiatry 189: 484–493.
    1. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, et al. (2009) The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. Annals of Internal Medicine 151: W–65.
    1. Royle P, Waugh N (2005) A simplified search strategy for identifying randomised controlled trials for systematic reviews of health care interventions: a comparison with more exhaustive strategies. BMC Medical Research Methodology 5: 23.
    1. Korff MV, Goldberg D (2001) Improving outcomes in depression. BMJ 323: 948–949.
    1. Weingarten SR, Henning JM, Badamgarav E, Knight K, Hasselblad V, et al. (2002) Interventions used in disease management programmes for patients with chronic illnesswhich ones work? Meta-analysis of published reports. BMJ 325: 925.
    1. Gilbody S, Whitty P, Grimshaw J, Thomas R (2003) Educational and organizational interventions to improve the management of depression in primary care: a systematic review. JAMA 289: 3145–3151.
    1. Boerma WG, Verhaak PF (1999) The general practitioner as the first contacted health professional by patients with psychosocial problems: a European study. Psychol Med 29: 689–696.
    1. Kontopantelis E, Reeves D (2009) METAEFF: Stata module to perform effect sizes calculations for meta-analyses. Statistical Software Components.
    1. Lipsey MW, Wilson D (2001) Practical Meta-Analysis. Thousand Oaks: Sage Publictions Inc.
    1. Higgins JPT, Green S (2011) Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0: Cochrane Collaboration.
    1. Adams G, Gulliford MC, Ukoumunne OC, Eldridge S, Chinn S, et al. (2004) Patterns of intra-cluster correlation from primary care research to inform study design and analysis. Journal of clinical epidemiology 57: 785–793.
    1. Donner A, Klar N (2002) Issues in the meta-analysis of cluster randomized trials. Statistics in medicine 21: 2971–2980.
    1. Pereira TV, Horwitz RI, Ioannidis JA (2012) Empirical evaluation of very large treatment effects of medical interventions. JAMA 308: 1676–1684.
    1. Hewitt C, Hahn S, Torgerson DJ, Watson J, Bland JM (2005) Adequacy and reporting of allocation concealment: review of recent trials published in four general medical journals. BMJ 330: 1057–1058.
    1. Harris R, Bradburn M, Deeks J, Harbord R, Altman D, et al. (2008) metan: fixed- and random-effects meta-analysis. Stata Journal 8: 3–28.
    1. Harbord RM, Higgins JPT (2008) Meta-regression in Stata. Stata Journal 8: 493–519.
    1. Thompson SG, Higgins JP (2002) How should meta-regression analyses be undertaken and interpreted? Stat Med 21: 1559–1573.
    1. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Controlled clinical trials 7: 177–188.
    1. Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21: 1539–1558.
    1. Kontopantelis E, Reeves D (2009) MetaEasy: A Meta-Analysis Add-In for Microsoft Excel. Journal of Statistical Software 30.
    1. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49: 1373–1379.
    1. Brockwell SE, Gordon IR (2001) A comparison of statistical methods for meta-analysis. Statistics in medicine 20: 825–840.
    1. Kontopantelis E, Reeves D (2012) Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study. Statistical methods in medical research 21: 409–426.
    1. Kontopantelis E, Springate DA, Reeves D (2013) A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses. PLoS One 8: e69930.
    1. Driessen E, Cuijpers P, Hollon SD, Dekker JJ (2010) Does pretreatment severity moderate the efficacy of psychological treatment of adult outpatient depression? A meta-analysis. J Consult Clin Psychol 78: 668–680.
    1. Kirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, et al. (2008) Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med 5: e45.
    1. Negassa A, Hanley JA (2007) The effect of omitted covariates on confidence interval and study power in binary outcome analysis: a simulation study. Contemp Clin Trials 28: 242–248.
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, et al. (2013) The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions. Annals of Behavioral Medicine 46: 81–95.
    1. Deshauer D, Moher D, Fergusson D, Moher E, Sampson M, et al. (2008) Selective serotonin reuptake inhibitors for unipolar depression: a systematic review of classic long-term randomized controlled trials. Canadian Medical Association Journal 178: 1293–1301.
    1. Rothman KJ (1990) No adjustments are needed for multiple comparisons. Epidemiology 1: 43–46.
    1. Saraceno B, van Ommeren M, Batniji R, Cohen A, Gureje O, et al. (2007) Barriers to improvement of mental health services in low-income and middle-income countries. The Lancet 370: 1164–1174.
    1. Ekers D, Murphy R, Archer J, Ebenezer C, Kemp D, et al. (2013) Nurse-delivered collaborative care for depression and long-term physical conditions: A systematic review and meta-analysis. J Affect Disord 149: 14–22.
    1. Milne D, James I (2000) A systematic review of effective cognitive-behavioural supervision. British Journal of Clinical Psychology 39: 111–127.
    1. Bambling M, King R, Raue P, Schweitzer R, Lambert W (2006) Clinical supervision: Its influence on client-rated working alliance and client symptom reduction in the brief treatment of major depression. Psychotherapy Research 16: 317–331.
    1. Salisbury C, Johnson L, Purdy S, Valderas JM, Montgomery AA (2011) Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. British Journal of General Practice 61: e12–e21.
    1. Kendrick T, Dowrick C, McBride A, Howe A, Clarke P, et al. (2009) Management of depression in UK general practice in relation to scores on depression severity questionnaires: analysis of medical record data. BMJ 338: b750.
    1. Dickens C, Katon W, Blakemore A, Khara A, McGowan L, et al. (2012) Does depression predict the use of urgent and unscheduled care by people with long term conditions? A systematic review with meta-analysis. Journal of Psychosomatic Research 73: 334–342.
    1. El-Mallakh R, Briscoe B (2012) Studies of Long-Term Use of Antidepressants. CNS Drugs 26: 97–109.
    1. Mathur R, Hull SA, Badrick E, Robson J (2011) Cardiovascular multimorbidity: the effect of ethnicity on prevalence and risk factor management. British Journal of General Practice 61: e262–e270.
    1. Bower P, Macdonald W, Harkness E, Gask L, Kendrick T, et al. (2011) Multimorbidity, service organization and clinical decision making in primary care: a qualitative study. Family Practice 28: 579–587.
    1. RK M, SW W, AD P, JA W, MW O (2013) Patient preference for psychological vs pharmacologic treatment of psychiatric disorders: a meta-analytic review. Journal of Clinical Psychiatry 74: 595–602.
    1. May C, Montori VM, Mair FS (2009) We need minimally disruptive medicine. BMJ 339: b2803.
    1. Katon WJ, Lin EH, Von Korff M, Ciechanowski P, Ludman EJ, et al. (2010) Collaborative care for patients with depression and chronic illnesses. N Engl J Med 363: 2611–2620.
    1. Riley RD, Lambert PC, Abo-Zaid G (2010) Meta-analysis of individual participant data: rationale, conduct, and reporting. BMJ 340: c221.

Source: PubMed

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