Self-Help for Depression via E-mail: A Randomised Controlled Trial of Effects on Depression and Self-Help Behaviour

Amy J Morgan, Anthony F Jorm, Andrew J Mackinnon, Amy J Morgan, Anthony F Jorm, Andrew J Mackinnon

Abstract

Background: Self-help or self-management strategies are commonly used to deal with depression, but not all are thought to be helpful. A previous study found that sub-threshold depression symptoms were improved by an e-mail intervention that encouraged the use of evidence-based self-help strategies.

Aim: To investigate whether these e-mails were effective for adults with a range of depression symptomatology including major depression.

Method: The study was a parallel-group randomised controlled trial. Adult participants with any level of depressive symptoms were recruited over the internet from the United Kingdom, Australia, Canada, Ireland, New Zealand and the United States. Participants were randomised to receive a series of e-mails either promoting the use of evidence-based self-help strategies or containing depression information as a control. E-mails were sent automatically twice a week for six weeks. Depression symptoms were assessed with the self-rated Patient Health Questionnaire depression scale (PHQ-9).

Results: 1736 participants with a wide range of symptom severity were recruited and assigned to active (n = 862) and control (n = 874) groups. However, there was a significant attrition rate, with 66.9% lost to follow-up at post-intervention. Both groups showed large improvements in depression symptoms overall, with no significant difference in improvement at the end of the study (mean difference in improvement 0.35 points, 95% CI: -0.57 to 1.28, d = 0.11, 95% CI: -0.06 to 0.27), although there was a small effect at the study mid-point. Results were similar for the sub-group of participants with major depression. The active group showed small to moderate improvements in self-help behaviour (d = 0.40, 95% CI: 0.23 to 0.56).

Conclusions: These results suggest that the e-mails were able to increase participants' use of evidence-based self-help, but that this did not improve depression more than an attention control.

Clinicaltrialsgov: NCT01399502.

Conflict of interest statement

Competing Interests: A. J. Morgan is the author and developer of the Mood Memos website but derives no personal or financial benefit from its operation. This does not alter the authors‚ adherence to all the PLOS ONE policies on sharing data and materials.

Figures

Figure 1. Recruitment and retention of participants.
Figure 1. Recruitment and retention of participants.
Figure 2. Estimated marginal means and standard…
Figure 2. Estimated marginal means and standard errors for PHQ-9 scores, estimated under group-by-time model.

References

    1. Jorm AF, Griffiths KM, Christensen H, Parslow RA, Rodgers B (2004) Actions taken to cope with depression at different levels of severity: A community survey. Psychological Medicine 34: 293–299.
    1. Jorm AF, Nakane Y, Christensen H, Yoshioka K, Griffiths KM, et al. (2005) Public beliefs about treatment and outcome of mental disorders: A comparison of Australia and Japan. BMC Medicine 3: 12.
    1. Parker G, Crawford J (2007) Judged effectiveness of differing antidepressant strategies by those with clinical depression. Australian and New Zealand Journal of Psychiatry 41: 32–37.
    1. van Beljouw I, Verhaak P, Prins M, Cuijpers P, Penninx B, et al. (2010) Reasons and determinants for not receiving treatment for common mental disorders. Psychiatric Services 61: 250–257.
    1. Morgan AJ, Jorm AF, Mackinnon AJ (2012) Usage and reported helpfulness of self-help strategies by adults with sub-threshold depression. Journal of Affective Disorders 136: 393–397.
    1. Jorm AF, Medway J, Christensen H, Korten AE, Jacomb PA, et al. (2000) Public beliefs about the helpfulness of interventions for depression: Effects on actions taken when experiencing anxiety and depression symptoms. Australian and New Zealand Journal of Psychiatry 34: 619–626.
    1. Roshanaei-Moghaddam B, Katon WJ, Russo J (2009) The longitudinal effects of depression on physical activity. Gen Hosp Psychiatry 31: 306–315.
    1. Katon WJ, Russo JE, Heckbert SR, Lin EHB, Ciechanowski P, et al. (2010) The relationship between changes in depression symptoms and changes in health risk behaviors in patients with diabetes. International Journal of Geriatric Psychiatry 25: 466–475.
    1. Jorm AF, Griffiths KM (2006) Population promotion of informal self-help strategies for early intervention against depression and anxiety. Psychological Medicine 36: 3–6.
    1. Geisner IM, Neighbors C, Larimer ME (2006) A randomized clinical trial of a brief, mailed intervention for symptoms of depression. Journal of Consulting and Clinical Psychology 74: 393–399.
    1. García-Toro M, Ibarra O, Gili M, Serrano MJ, Oliván B, et al. (2012) Four hygienic-dietary recommendations as add-on treatment in depression: A randomized-controlled trial. Journal of Affective Disorders 140: 200–203.
    1. García-Toro M, Ibarra O, Gili M, Serrano MJ, Vives M, et al. (2012) Adherence to lifestyle recommendations by patients with depression. Revista de Psiquiatría y Salud Mental 5: 236–240.
    1. Sternfeld B, Block C, Quesenberry CP Jr, Block TJ, Husson G, et al. (2009) Improving diet and physical activity with ALIVE: A worksite randomized trial. American Journal of Preventive Medicine 36: 475–483.
    1. Watkins DC, Smith LC, Kerber K, Kuebler J, Himle JA (2011) Email reminders as a self-management tool in depression: a needs assessment to determine patients’ interests and preferences. Journal of Telemedicine and Telecare 17: 378–381.
    1. Morgan AJ, Jorm AF, Mackinnon AJ (2012) Email-based promotion of self-help for sub-threshold depression: The Mood Memos randomised controlled trial. British Journal of Psychiatry 200: 412–418.
    1. Morgan AJ, Mackinnon AJ, Jorm AF (2013) Behavior change through automated e-mails: Mediation analysis of self-help strategy use for depressive symptoms. Behaviour Research and Therapy 51: 57–62.
    1. Morgan AJ, Jorm AF, Mackinnon AJ (2013) Internet-based recruitment to a depression prevention intervention: Lessons from the Mood Memos study. Journal of Medical Internet Research In press: doi:
    1. Kroenke K, Spitzer RL (2002) The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals 32: 509–515.
    1. Andersson G, Cuijpers P (2009) Internet-based and other computerized psychological treatments for adult depression: A meta-analysis. Cognitive Behaviour Therapy 38: 196–205.
    1. Cohen J (1992) A power primer. Psychological Bulletin 112: 155–159.
    1. Morgan AJ, Jorm AF (2009) Self-help strategies that are helpful for sub-threshold depression: A Delphi consensus study. Journal of Affective Disorders 115: 196–200.
    1. American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, (DSM-IV). Washington, DC: American Psychiatric Association.
    1. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, et al. (2002) Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine 32: 959–976.
    1. Mundt JC, Marks IM, Shear MK, Greist JM (2002) The Work and Social Adjustment Scale: A simple measure of impairment in functioning. British Journal of Psychiatry 180: 461–464.
    1. Andrews G, Slade T (2001) Interpreting scores on the Kessler Psychological Distress Scale (K10). Australian and New Zealand Journal of Public Health 25: 494–497.
    1. Prakash A, Risser RC, Mallinckrodt CH (2008) The impact of analytic method on interpretation of outcomes in longitudinal clinical trials. International Journal of Clinical Practice 62: 1147–1158.
    1. Pincus HA, Davis WW, McQueen LE (1999) ‘Subthreshold’ mental disorders: A review and synthesis of studies on minor depression and other ‘brand names’. British Journal of Psychiatry 174: 288–296.
    1. Jacobson NS, Truax P (1991) Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology 59: 12–19.
    1. Kroenke K, Spitzer RL, Williams JBW (2001) The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine 16: 606–613.
    1. McMillan D, Gilbody S, Richards D (2010) Defining successful treatment outcome in depression using the PHQ-9: A comparison of methods. Journal of Affective Disorders 127: 122–129.
    1. Bender R (2001) Calculating confidence intervals for the number needed to treat. Controlled Clinical Trials 22: 102–110.
    1. Altman DG (1998) Confidence intervals for the number needed to treat. BMJ 317: 1309–1312.
    1. Aickin M, Gensler H (1996) Adjusting for multiple testing when reporting research results: the Bonferroni vs Holm methods. American Journal of Public Health 86: 726–728.
    1. Australian Bureau of Statistics (2009) 4363.0.55.001 - National Health Survey: Users’ guide - electronic publication, 2007–08. Canberra: Australian Bureau of Statistics.
    1. Levesque DA, Van Marter DF, Schneider RJ, Bauer MR, Goldberg DN, et al. (2011) Randomized trial of a computer-tailored intervention for patients with depression. American Journal of Health Promotion 26: 77–89.
    1. Donkin L, Christensen H, Naismith LS, Neal B, Hickie BI, et al. (2011) A systematic review of the impact of adherence on the effectiveness of e-therapies. Journal of Medical Internet Research 13: e52.
    1. Christensen H, Mackinnon A (2006) The law of attrition revisited. Journal of Medical Internet Research 8: e20.
    1. Fry JP, Neff RA (2009) Periodic prompts and reminders in health promotion and health behavior interventions: Systematic review. Journal of Medical Internet Research 11: e16.
    1. Fjeldsoe BS, Marshall AL, Miller YD (2009) Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine 36: 165–173.
    1. Klasnja P, Pratt W (2012) Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics 45: 184–198.
    1. Cuijpers P, Li J, Hofmann SG, Andersson G (2010) Self-reported versus clinician-rated symptoms of depression as outcome measures in psychotherapy research on depression: A meta-analysis. Clinical Psychology Review 30: 768–778.
    1. Uher R, Perlis RH, Placentino A, Dernovšek MZ, Henigsberg N, et al.. (2012) Self-report and clinician-rated measures of depression severity: Can one replace the other? Depression and Anxiety: doi:
    1. Richards D, Richardson T (2012) Computer-based psychological treatments for depression: A systematic review and meta-analysis. Clinical Psychology Review 32: 329–342.

Source: PubMed

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