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  2. School of Management and Law
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  4. Publikationen School of Management and Law
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dc.contributor.authorVan Gestel, Raf-
dc.contributor.authorMüller, Tobias-
dc.contributor.authorBosmans, Johan-
dc.date.accessioned2018-08-24T08:02:09Z-
dc.date.available2018-08-24T08:02:09Z-
dc.date.issued2017-
dc.identifier.issn1057-9230de_CH
dc.identifier.issn1099-1050de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/9538-
dc.description.abstractLearning curves in health are of interest for a wide range of medical disciplines, healthcare providers, and policy makers. In this paper, we distinguish between three types of learning when identifying overall learning curves: economies of scale, learning from cumulative experience, and human capital depreciation. In addition, we approach the question of how treating more patients with specific characteristics predicts provider performance. To soften collinearity problems, we explore the use of least absolute shrinkage and selection operator regression as a variable selection method and Theil-Goldberger mixed estimation to augment the available information. We use data from the Belgian Transcatheter Aorta Valve Implantation (TAVI) registry, containing information on the first 860 TAVI procedures in Belgium. We find that treating an additional TAVI patient is associated with an increase in the probability of 2-year survival by about 0.16%-points. For adverse events like renal failure and stroke, we find that an extra day between procedures is associated with an increase in the probability for these events by 0.12%-points and 0.07%-points, respectively. Furthermore, we find evidence for positive learning effects from physicians' experience with defibrillation, treating patients with hypertension, and the use of certain types of replacement valves during the TAVI procedure.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofHealth Economicsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectLassode_CH
dc.subjectTAVIde_CH
dc.subjectTheil-Goldbergerde_CH
dc.subjectTranscatheter aortic valve replacementde_CH
dc.subject.ddc362: Gesundheits- und Sozialdienstede_CH
dc.titleDoes my high blood pressure improve your survival? : overall and subgroup learning curves in healthde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitZentrum für Energie und Umwelt (CEE)de_CH
dc.identifier.doi10.1002/hec.3505de_CH
dc.identifier.pmid28449316de_CH
zhaw.funding.euNode_CH
zhaw.issue9de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1109de_CH
zhaw.pages.start1094de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume26de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Van Gestel, R., Müller, T., & Bosmans, J. (2017). Does my high blood pressure improve your survival? : overall and subgroup learning curves in health. Health Economics, 26(9), 1094–1109. https://doi.org/10.1002/hec.3505
Van Gestel, R., Müller, T. and Bosmans, J. (2017) ‘Does my high blood pressure improve your survival? : overall and subgroup learning curves in health’, Health Economics, 26(9), pp. 1094–1109. Available at: https://doi.org/10.1002/hec.3505.
R. Van Gestel, T. Müller, and J. Bosmans, “Does my high blood pressure improve your survival? : overall and subgroup learning curves in health,” Health Economics, vol. 26, no. 9, pp. 1094–1109, 2017, doi: 10.1002/hec.3505.
VAN GESTEL, Raf, Tobias MÜLLER und Johan BOSMANS, 2017. Does my high blood pressure improve your survival? : overall and subgroup learning curves in health. Health Economics. 2017. Bd. 26, Nr. 9, S. 1094–1109. DOI 10.1002/hec.3505
Van Gestel, Raf, Tobias Müller, and Johan Bosmans. 2017. “Does My High Blood Pressure Improve Your Survival? : Overall and Subgroup Learning Curves in Health.” Health Economics 26 (9): 1094–1109. https://doi.org/10.1002/hec.3505.
Van Gestel, Raf, et al. “Does My High Blood Pressure Improve Your Survival? : Overall and Subgroup Learning Curves in Health.” Health Economics, vol. 26, no. 9, 2017, pp. 1094–109, https://doi.org/10.1002/hec.3505.


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