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ORIGINAL ARTICLE
Year : 2018  |  Volume : 5  |  Issue : 2  |  Page : 121-127

Dropout rates and reasons for dropout from treatment among elderly patients with depression


Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India

Correspondence Address:
Dr. Sandeep Grover
Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh - 160 012
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jgmh.jgmh_29_17

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Background: Adherence to medical treatment is a major challenge. A significant proportion of patient's dropout of treatment after the initial visit. Little is known about the reasons for such high dropouts. Aim: This study aimed to evaluate the dropout rates and reasons for dropout from treatment among elderly patients with depression attending a tertiary care psychiatry outpatient facility. Methodology: One hundred and forty consecutive new patients aged 60 years or more, attending the psychiatry walk-in clinic, diagnosed with depressive disorders were assessed at baseline and then contacted at 6 months and 1 year to evaluate the follow-up status and reasons for dropout of treatment. Results: Out of the 140 participants, 132 could be contacted after initial registration with the clinic. About two-fifths (n = 58; 41.4%) never return back to the clinic after the first visit. By 6 months and 1 year, 105 (75%) and 126 (90%) patients had dropped out of treatment. When the reason for dropout of those who dropped out “very early (i.e., never returned back)” were evaluated, the most common reason for dropout was “no relief” of symptoms, and this was closely followed by complete relief of symptoms. Among those who followed up at least once, but had dropped out at 6 months, the most common reason for dropout was complete relief of symptoms, and this was closely followed by “no relief” and “worsening of illness” being the other common reasons of dropout. Among those who dropped out after 6 months, the most common reason for dropout was complete relief of symptoms. None of the demographic variable emerged as a predictor of dropout at any time point. Few clinical variables were associated with dropout of treatment. Conclusion: Very high proportion of elderly patients with depression dropout of treatment prematurely. Providing proper information to the patients at each visit can help in reducing the treatment dropout rates.


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