AI Article Synopsis

  • Depression is a complex psychiatric illness that frequently recurs and significantly impacts healthcare costs, partly due to cognitive impairments that increase vulnerability.
  • Cognitive Control Training (CCT) has proven effective in lowering the risk of depression recurrence and is an affordable, easily accessible web-based intervention.
  • However, there is a lack of studies assessing the cost-effectiveness of CCT, and Health Economic Evaluation (HEE) is crucial for guiding health policies and optimizing resource allocation in clinical practice.

Article Abstract

Depression is a serious and burdensome psychiatric illness that contributes heavily to health expenditures. These costs are partly related to the observation that depression is often not limited to a single episode but can recur or follow a chronic pathway. In terms of risk factors, it is acknowledged that cognitive impairments play a crucial role in vulnerability to depression. Within this context, cognitive control training (CCT) has shown its effectiveness in reducing the risk for recurrence of depression. CCT is low cost intensive and can be provided as a web-based intervention, which makes it easy to disseminate. Despite increasing interest in the field, studies examining the cost-effectiveness of CCT in the context of depression are largely missing. Health economic evaluation (HEE) allows to inform decision makers with evidence-based insights about how to spend limited available (financial) resources in the most efficient way. HEE studies constitute a crucial step in the implementation of a new intervention in clinical practice. Approaching preventive measures for depression such as CCT from an HEE perspective is informative to health policy, fostering optimal use of health expenditures. The aim of this paper was to inform and guide researchers during the phase of designing HEE studies in the context of CCT for depression. A clear view of CCT's cost-effectiveness is paramount for its clinical implementation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474514PMC
http://dx.doi.org/10.2196/44679DOI Listing

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