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Self-stigma and attitudes about treatment in depressed patients in a hospital setting

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  • Brandon A Gaudiano
  • Ivan W Miller

Abstract

Aims: Many patients have stigma about depression, which may inhibit treatment seeking. However, most previous research in this area has been conducted in outpatient samples. The current study investigated self-stigma and its relationship with treatment beliefs in depressed patients receiving psychiatric hospital treatment. Method: The sample consisted of 55 hospitalized patients with depressive disorders who completed measures of self-stigma, medication beliefs, psychotherapy beliefs and depression. Results: Multiple regression analyses controlling for demographic variables demonstrated that higher depression severity was associated with increased self-stigma related to treatment and having depression. Higher self-stigma about treatment was associated with more negative beliefs about psychiatric medications, but more positive beliefs about psychotherapy. In contrast, self-stigma about depression was associated with negative beliefs about medications, but not psychotherapy. Conclusions: Psychiatric hospital treatment, particularly in the USA, emphasizes medication treatment while de-emphasizing evidence-based psychosocial interventions. Individuals with negative views about psychiatric medications and positive views about the value of psychotherapy have higher treatment self-stigma, which may discourage them from seeking hospital treatment when needed or negatively affect their treatment response.

Suggested Citation

  • Brandon A Gaudiano & Ivan W Miller, 2013. "Self-stigma and attitudes about treatment in depressed patients in a hospital setting," International Journal of Social Psychiatry, , vol. 59(6), pages 586-591, September.
    • Handle: RePEc:sae:socpsy:v:59:y:2013:i:6:p:586-591
    DOI: 10.1177/0020764012446404
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    1. Livingston, James D. & Boyd, Jennifer E., 2010. "Correlates and consequences of internalized stigma for people living with mental illness: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 71(12), pages 2150-2161, December.
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