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The Duke Somatic Treatment Algorithm for Geriatric Depression (STAGED) approach.

David C Steffens1, Douglas R McQuoid, K Ranga Rama Krishnan

  • 1Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Box 3903, Durham, NC 27710, USA. steff001@mc.duke.edu

Psychopharmacology Bulletin
|October 26, 2002
PubMed
Summary

The Duke Somatic Treatment Algorithm for Geriatric Depression (STAGED) successfully treated elderly patients with depression. This algorithm achieved high response and remission rates in a large longitudinal study.

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Area of Science:

  • Geriatric Psychiatry
  • Clinical Psychology
  • Neuroscience

Background:

  • Published treatment algorithms for depression often lack rigorous outcome studies.
  • Effective management of geriatric depression remains a significant clinical challenge.

Purpose of the Study:

  • To present and evaluate the Duke Somatic Treatment Algorithm for Geriatric Depression (STAGED).
  • To assess the clinical utility and outcomes of the STAGED approach in elderly patients with depression.

Main Methods:

  • A longitudinal study involving 228 elderly patients diagnosed with depression.
  • Patients were treated by geriatric psychiatrists following the five-stage STAGED algorithm.
  • Initial treatments included antidepressant medications (174 patients) and electroconvulsive therapy (54 patients).

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Main Results:

  • High treatment efficacy was observed over 18 months.
  • 88.6% of patients demonstrated a positive response to treatment.
  • 65.35% of patients achieved full remission of depressive symptoms.

Conclusions:

  • The STAGED approach is a clinically effective method for treating geriatric depression.
  • The algorithm provides a structured guideline for managing depression in elderly populations.
  • The study demonstrates the STAGED algorithm's success in achieving significant symptom improvement and remission.