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Uptake of mental health websites in primary care: Insights from an Australian longitudinal cohort study of depression
Authors:Jane Gunn  Jacqui Cameron  Konstancja Densley  Sandra Davidson  Susie Fletcher  Victoria Palmer  Patty Chondros  Christopher Dowrick  Jane Pirkis
Affiliation:1. Department of General Practice, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia;2. Institute of Psychology Health and Society, University of Liverpool, United Kingdom;3. Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
Abstract:

Objective

To describe the characteristics of primary care attendees with depressive symptoms who use mental health websites.

Methods

789 individuals with depressive symptoms recruited and followed up annually for nine years. Self-reported written surveys included mental health, professional and self-help use, e-mental health interventions or therapeutic websites. Marginal logistic regression examined association between mental health website (MHW) use and patient’s mental health, health services use, anti-depressant use and self-help strategies.

Results

36% of participants used an MHW at least once. MHW users were more likely to be female, younger, highly educated and employed. MHW use increased with depressive symptom severity; reported in 16% of assessments when minimal symptoms were present and 28% when severe symptoms were present. MHW use was associated with: GP mental health visits, psychologist and psychiatrist visits and other self-help strategies including self-help books and telephone helplines.

Conclusion(s)

Mental health websites were more likely to be used by those with severe depressive symptoms rather than those with mild depression as recommended in current guidelines.

Practice implication(s)

Whilst mental health websites offer potential to support the high volume of people with mild depression new strategies may be required to ensure uptake.
Keywords:Primary care  Mental health websites  Depression  Longitudinal data  Mental health policy  e-Mental health
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