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Algorithm-guided treatment of depression reduces treatment costs--results from the randomized controlled German
Roland Ricken1, Katja Wiethoff, Thomas Reinhold
1Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Germany.
Journal of Affective Disorders
|July 16, 2011
Summary
A standardized stepwise treatment regimen (SSTR) for depression is more cost-effective than treatment as usual (TAU). SSTR reduces overall treatment costs and improves patient remission outcomes in inpatient settings.
Area of Science:
- Health Economics
- Clinical Psychiatry
- Treatment Efficacy
Background:
- The German Algorithm Project, Phase 2 (GAP2) demonstrated superior treatment outcomes with a standardized stepwise treatment regimen (SSTR) compared to treatment as usual (TAU) for depressed inpatients.
- This study aimed to conduct a health economic evaluation of SSTR using cost-effectiveness analysis (CEA).
Purpose of the Study:
- To evaluate the cost-effectiveness of a standardized stepwise treatment regimen (SSTR) versus treatment as usual (TAU) in depressed inpatients.
- To determine the cost per remitted patient for both treatment approaches.
Main Methods:
- A randomized controlled study (GAP2) involving 148 patients.
- Intention-to-treat (ITT) analysis calculated direct treatment costs for study duration (SD) and total time in hospital (TTH).
- Cost-effectiveness analysis (CEA) determined cost per remission.
Main Results:
- Treatment costs were significantly lower for SSTR than TAU during study duration (SD).
- Cost per remission was significantly lower for SSTR compared to TAU for both SD and total time in hospital (TTH).
Conclusions:
- A standardized stepwise treatment regimen (SSTR) offers superior cost-effectiveness without significant additional costs.
- Implementing treatment algorithms in inpatient care can potentially reduce overall treatment expenses.
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