Estimating costs and benefits of stroke management: A population-based simulation model

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Bayer, S

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Eom, K

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Sivapragasam, N

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Silva, DAD

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Choon, G

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Koh, H

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Tan, KB

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Ansah, JP

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Matchar, DB

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2021-05-05T06:34:57Z

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2021-05-05T06:34:57Z

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2020-01-01

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2021-05-05T06:34:48Z

dc.description.abstract

The paper demonstrates how a system dynamics approach can support strategic planning of health care services and can in particular help to balance cost-effectiveness considerations with budget impact considerations when assessing a comprehensive package of stroke care interventions in Singapore. A population-level system dynamics model is used to investigate 12 intervention scenarios based on six stroke interventions (a public information campaign, thrombolysis, endovascular therapy, acute stroke unit (ASU), out-of-hospital rehabilitation, and secondary prevention). Primary outcomes included cumulative discounted costs and quality-adjusted life years (QALYs) gained, as well as cumulative net monetary benefit by 2030. All intervention scenarios result in an increase in net monetary benefit by 2030; much of these gains were realized through improved post-acute care. Findings highlight the importance of coordination of care, and affirms the economic value of current stroke interventions.

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0160-5682

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1476-9360

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https://hdl.handle.net/10161/22785

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en

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Informa UK Limited

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Journal of the Operational Research Society

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10.1080/01605682.2020.1772018

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System dynamics

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stroke

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health systems

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Estimating costs and benefits of stroke management: A population-based simulation model

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Journal article

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Matchar, DB|0000-0003-3020-2108

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1

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13

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School of Medicine

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Duke Clinical Research Institute

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Duke Global Health Institute

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Pathology

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Medicine, General Internal Medicine

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Duke

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Institutes and Centers

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University Institutes and Centers

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Institutes and Provost's Academic Units

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Clinical Science Departments

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Medicine

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