Accepted for/Published in: JMIR Mental Health
Date Submitted: Nov 29, 2022
Open Peer Review Period: Nov 29, 2022 - Jan 24, 2023
Date Accepted: Jun 10, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Health-Economic Evaluation of Cognitive Remediation for Depression: Key considerations
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 depression vulnerability. Within this context, cognitive remediation – among which cognitive control training (CCT) specifically – has shown its effectiveness in reducing risk for recurrence of depression. CCT is low-cost intensive and can be provided online 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 on how to spend limited available (financial) resources in the most efficient way. HEE studies constitute a crucial step to implementing a new intervention in clinical practice. Approaching preventive measures for depression such as CCT from a HEE perspective would be informative to health policy, fostering optimal use of health expenditures. The scope of this review is to inform and guide researchers during the phase of designing HEE studies in the context of CCT for depression. A clear view on CCT cost-effectiveness is paramount to its clinical implementation.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.