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dc.contributor.authorHiragi, Shusukeen
dc.contributor.authorTamura, Hiroshien
dc.contributor.authorGoto, Reien
dc.contributor.authorKuroda, Tomohiroen
dc.contributor.alternative平木, 秀輔ja
dc.contributor.alternative田村, 寛ja
dc.contributor.alternative黒田, 知宏ja
dc.date.accessioned2018-11-14T01:01:16Z-
dc.date.available2018-11-14T01:01:16Z-
dc.date.issued2018-11-09-
dc.identifier.issn1472-6947-
dc.identifier.urihttp://hdl.handle.net/2433/235159-
dc.description.abstract[Background] Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some researchers set CKD grades as discrete health states, and the transition probabilities between these states were dependent on the CKD grades (disease grade-based microsimulation, MSM-dg), while others set estimated glomerular filtration rate value which determines the severity of CKD as a main variable describing patients’ continuous status (kidney function-based microsimulation, MSM-kf). MSM-kf seems to reflect the real world more precisely but is more difficult to implement. We compared the calculation results of these two microsimulation models to evaluate the effect of model selection on CKD cost-effectiveness analysis. [Methods] We implemented simplified MSM-dg and MSM-kf emulating natural course of CKD in general, and compared models using parameters derived from an IgA nephropathy cohort. After checking these models’ overall behavior, life-years, utilities, and thresholds regarding intervention costs below which the intervention is thought as dominant (V0) or cost-effective (V1) were calculated. In addition, one-way and probabilistic sensitivity analyses were performed. [Results] With base-case parameters, the calculated life-years was shorter in MSM-dg (73.89 vs. 75.80 years) while the thresholds were almost equal (86.87 vs. 90.43 (V0), 132.29 vs. 146.25 [V1 in 1000 USD]) compared to MSM-kf. Sensitivity analyses showed a tendency of the MSM-dg to show shorter results in life-years. V0 and V1 were distributed by approximately ±100, 000 USD (V0) and ± 150, 000 USD (V1) between models. [Conclusions] Estimated cost-effectiveness thresholds by both models were not the same and its difference distributed too wide to be ignored. This result indicated that model selection in CKD cost-effectiveness research has large effect on their conclusions.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSpringer Nature America, Incen
dc.rights© The Author(s). 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectChronic kidney diseaseen
dc.subjectHealth economicsen
dc.subjectCost effectiveness analysisen
dc.subjectDisease modelingen
dc.titleThe effect of model selection on cost-effectiveness research: a comparison of kidney function-based microsimulation and disease grade-based microsimulation in chronic kidney disease modelingen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleBMC Medical Informatics and Decision Makingen
dc.identifier.volume18-
dc.relation.doi10.1186/s12911-018-0678-7-
dc.textversionpublisher-
dc.identifier.artnum94-
dc.addressDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital・Department of Nephrology, Kyoto University Hospitalen
dc.addressDivision of Medical Information Technology and Administration Planning, Kyoto University Hospitalen
dc.addressGraduate School of Business Administration, Keio University・Keio Business School, Keio Universityen
dc.addressDivision of Medical Information Technology and Administration Planning, Kyoto University Hospitalen
dc.identifier.pmid30413200-
dcterms.accessRightsopen access-
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