Abstract
Background
Depression is one of the most debilitating and costly mental disorders. There is increasing evidence for the efficacy of online self-help in alleviating depression. Knowledge regarding the options of combining online self-help with inpatient psychotherapy is still limited. Therefore, we plan to evaluate an evidence-based self-help program (deprexis®; Gaia AG, Hamburg, Germany) to improve the efficacy of inpatient psychotherapy and to maintain treatment effects in the aftercare period.
Methods/design
Depressed patients (n = 240) with private internet access aged between 18 and 65 are recruited during psychosomatic inpatient treatment. Participants are randomized to an intervention or control group at the beginning of inpatient treatment. The intervention group (n = 120) is offered an online self-help program with 12 weekly tasks, beginning during the inpatient treatment. The control group (n = 120) obtains access to an online platform with weekly updated information on depression for the same duration. Assessments are conducted at the beginning (T0) and the end of inpatient treatment (T1), at the end of intervention (T2) and 6 months after randomization (T3). The primary outcome is the depression score measured by the Beck Depression Inventory-II at T2. Secondary outcome measures include anxiety, self-esteem, quality of life, dysfunctional cognitions and work ability.
Discussion
We expect the intervention group to benefit from additional online self-help during inpatient psychotherapy and to maintain the benefits during follow-up. This could be an important approach to develop future concepts of inpatient psychotherapy.
Trial registration
ClinicalTrials.gov Identifier: NCT02196896 (registered on 16 July 2014).
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Details
1 Johannes Gutenberg-University, Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Mainz, Germany (GRID:grid.5802.f) (ISNI:0000000119417111)
2 Clinic for Psychosomatic Rehabilitation, Rhön-Klinikum AG, Neustadt/Saale, Germany (GRID:grid.418667.a) (ISNI:0000 0000 9120 798X)




