COST-EFFECTIVENESS OF GUIDED INTERNET-BASED TREATMENTS FOR DEPRESSION IN COMPARISON WITH CONTROL CONDITIONS- AN INDIVIDUAL-PARTICIPANT DATA META-ANALYSIS
Author(s)
Kolovos S1, van Dongen JM1, Riper H2, van Tulder MW1, Bosmans JE1
1Vrije Universiteit Amsterdam, Amsterdam, The Netherlands, 2VU Amsterdam, Amsterdam, The Netherlands
Previous studies have shown the effectiveness of guided Internet-based interventions for depression compared to control groups. It is often hypothesized that Internet-based treatments are associated with lower costs, because face-to-face time with therapist is reduced. The objective of this study was to conduct an individual-participant data meta-analysis (IPD-MA) evaluating the cost-effectiveness of guided Internet-based interventions for depression compared to controls from a societal perspective.
METHODS:A systematic literature search was conducted in electronic databases from 2000 to January 1st RESULTS:
IPD from five studies, including 1,426 participants were used. The guided Internet-based interventions were more costly than the controls, but not statistically significantly so (e.g.12-months mean difference = €406, 95%CI: -611 to 1,444). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost-effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost-effective was 0.95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost-effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was 0.29 and 0.31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively).
CONCLUSIONS:Guided Internet-based interventions for depression were not considered cost-effective compared to control. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost-effectiveness. Therefore, it is important that future RCTs measure resource use and productivity losses alongside clinical effectiveness.
Conference/Value in Health Info
Value in Health, Vol. 20, No. 9 (October 2017)
Code
PMH34
Topic
Economic Evaluation
Topic Subcategory
Cost-comparison, Effectiveness, Utility, Benefit Analysis
Disease
Mental Health