Improving the cost-effectiveness of a healthcare system for depressive disorders by implementing telemedicine: a health economic modeling study
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: The American Journal of Geriatric Psychiatry, Jahrgang 22, Nr. 3, 03.2014, S. 253-262.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Improving the cost-effectiveness of a healthcare system for depressive disorders by implementing telemedicine
T2 - a health economic modeling study
AU - Lokkerbol, Joran
AU - Adema, Dirk
AU - Cuijpers, Pim
AU - Reynolds, Charles F.
AU - Schulz, Richard
AU - Weehuizen, Rifka
AU - Smit, Filip
PY - 2014/3
Y1 - 2014/3
N2 - Objectives: Depressive disorders are significant causes of disease burden and are associated with substantial economic costs. It is therefore important to design a healthcare system that can effectively manage depression at sustainable costs. This article computes the benefit-to-cost ratio of the current Dutch healthcare system for depression, and investigates whether offering more online preventive interventions improves the cost-effectiveness overall. Methods: A health economic (Markov) model was used to synthesize clinical and economic evidence and to compute population-level costs and effects of interventions. The model compared a base case scenario without preventive telemedicine and alternative scenarios with preventive telemedicine. The central outcome was the benefit-to-cost ratio, also known as return-on-investment (ROI). Results: In terms of ROI, a healthcare system with preventive telemedicine for depressive disorders offers better value for money than a healthcare system without Internet-based prevention. Overall, the ROI increases from €1.45 ($1.72) in the base case scenario to €1.76 ($2.09) in the alternative scenario in which preventive telemedicine is offered. In a scenario in which the costs of offering preventive telemedicine are balanced by reducing the expenditures for curative interventions, ROI increases to €1.77 ($2.10), while keeping the healthcare budget constant. Conclusions: For a healthcare system for depressive disorders to remain economically sustainable, its cost-benefit ratio needs to be improved. Offering preventive telemedicine at a large scale is likely to introduce such an improvement.
AB - Objectives: Depressive disorders are significant causes of disease burden and are associated with substantial economic costs. It is therefore important to design a healthcare system that can effectively manage depression at sustainable costs. This article computes the benefit-to-cost ratio of the current Dutch healthcare system for depression, and investigates whether offering more online preventive interventions improves the cost-effectiveness overall. Methods: A health economic (Markov) model was used to synthesize clinical and economic evidence and to compute population-level costs and effects of interventions. The model compared a base case scenario without preventive telemedicine and alternative scenarios with preventive telemedicine. The central outcome was the benefit-to-cost ratio, also known as return-on-investment (ROI). Results: In terms of ROI, a healthcare system with preventive telemedicine for depressive disorders offers better value for money than a healthcare system without Internet-based prevention. Overall, the ROI increases from €1.45 ($1.72) in the base case scenario to €1.76 ($2.09) in the alternative scenario in which preventive telemedicine is offered. In a scenario in which the costs of offering preventive telemedicine are balanced by reducing the expenditures for curative interventions, ROI increases to €1.77 ($2.10), while keeping the healthcare budget constant. Conclusions: For a healthcare system for depressive disorders to remain economically sustainable, its cost-benefit ratio needs to be improved. Offering preventive telemedicine at a large scale is likely to introduce such an improvement.
KW - Psychology
KW - Cost-benefit analysis
KW - Depressive disorder
KW - E-health
KW - Health economic modeling
KW - Prevention
UR - http://www.scopus.com/inward/record.url?scp=84898648296&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/12e8214b-63ca-30f2-9190-eb612ff5e4a3/
U2 - 10.1016/j.jagp.2013.01.058
DO - 10.1016/j.jagp.2013.01.058
M3 - Journal articles
C2 - 23759290
VL - 22
SP - 253
EP - 262
JO - The American Journal of Geriatric Psychiatry
JF - The American Journal of Geriatric Psychiatry
SN - 1064-7481
IS - 3
ER -