File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/WSC.2018.8632264
- Scopus: eid_2-s2.0-85062639468
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Evaluating cost-effectiveness of treatment options for diabetes patients using system dynamics modeling
Title | Evaluating cost-effectiveness of treatment options for diabetes patients using system dynamics modeling |
---|---|
Authors | |
Issue Date | 2019 |
Citation | Proceedings - Winter Simulation Conference, 2019, v. 2018-December, p. 2577-2588 How to Cite? |
Abstract | The growing global diabetes epidemic is a serious public health problem. We developed a system dynamic model to study the cost-effectiveness of different diabetes treatment options. According to existing literature, we estimated dynamic costs and changes of hemoglobin A1c levels of two first-line monotherapies and a hypothetical innovation therapy for glycemic control over a 15-year horizon. Incremental cost-effectiveness ratios were expressed as dollars per HbA1c decrement from perspectives of the patient, insurance-payer, and society. Simulation results showed that better adherence with a more expensive and efficacious drug results in better control of HbA1c and cost-saving in the long-run. The results also showed that the cost-effectiveness ratio varied with patients' pre-determined out-of-pocket payment for health expenditure. The higher the rate of their out-of-pocket payment for extra health care expenditure to their household income, the more cost-effective it is for the innovative drug from the perspectives of the patient, insurance-payer, and society. |
Persistent Identifier | http://hdl.handle.net/10722/327226 |
ISSN | 2023 SCImago Journal Rankings: 0.272 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, Shiyong | - |
dc.contributor.author | Liu, Gordon | - |
dc.contributor.author | Bishai, David | - |
dc.contributor.author | Xu, Judy C. | - |
dc.contributor.author | Xue, Hong | - |
dc.contributor.author | Wang, Youfa | - |
dc.date.accessioned | 2023-03-31T05:29:51Z | - |
dc.date.available | 2023-03-31T05:29:51Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Proceedings - Winter Simulation Conference, 2019, v. 2018-December, p. 2577-2588 | - |
dc.identifier.issn | 0891-7736 | - |
dc.identifier.uri | http://hdl.handle.net/10722/327226 | - |
dc.description.abstract | The growing global diabetes epidemic is a serious public health problem. We developed a system dynamic model to study the cost-effectiveness of different diabetes treatment options. According to existing literature, we estimated dynamic costs and changes of hemoglobin A1c levels of two first-line monotherapies and a hypothetical innovation therapy for glycemic control over a 15-year horizon. Incremental cost-effectiveness ratios were expressed as dollars per HbA1c decrement from perspectives of the patient, insurance-payer, and society. Simulation results showed that better adherence with a more expensive and efficacious drug results in better control of HbA1c and cost-saving in the long-run. The results also showed that the cost-effectiveness ratio varied with patients' pre-determined out-of-pocket payment for health expenditure. The higher the rate of their out-of-pocket payment for extra health care expenditure to their household income, the more cost-effective it is for the innovative drug from the perspectives of the patient, insurance-payer, and society. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - Winter Simulation Conference | - |
dc.title | Evaluating cost-effectiveness of treatment options for diabetes patients using system dynamics modeling | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/WSC.2018.8632264 | - |
dc.identifier.scopus | eid_2-s2.0-85062639468 | - |
dc.identifier.volume | 2018-December | - |
dc.identifier.spage | 2577 | - |
dc.identifier.epage | 2588 | - |