Enhancing the Reproducibility of Health Technology Assessments

Wagner, Daniel

Enhancing the Reproducibility of Health Technology Assessments

dc.contributor.advisor	Spackman, Eldon
dc.contributor.advisor	Hazlewood, Glen
dc.contributor.author	Wagner, Daniel
dc.contributor.committeemember	Beall, Reed
dc.contributor.committeemember	Bojke, Laura
dc.date	2022-02
dc.date.accessioned	2022-01-04T20:23:23Z
dc.date.available	2022-01-04T20:23:23Z
dc.date.issued	2021-12
dc.description.abstract	Health systems around the world depend on Health Technology Assessment (HTA) programs to provide policy guidance on many factors, including value-for-money. To ensure decisions are made with current information, methods of evidence synthesis and economic evaluation are used to inform a continuous process of evidence gathering and decision making. While computers are used in almost every part of this process, the act of updating an existing HTA often involves a duplication of the original effort. The experience of other scientific fields suggests this is attributable to a lack of reproducibility. This refers to the ability to obtain consistent computational results, using the same set of files and processes. The objective of this thesis was to explore how an emphasis on reproducibility can support the effective development and maintenance of HTAs. Satisfaction of this objective required the identification and implementation of computing strategies to enhance the reproducibility of HTAs. A literature review was used to identify techniques for reproducibility which had proven successful in other fields. The identified strategies encouraged the creation of an accurate and complete record of the research process in human and machine-readable formats. These findings were subsequently applied to a case study which redeveloped an existing appraisal of biologic treatment for psoriatic arthritis. The first part of the case study summarized the development and execution of an automated workflow. The second part explored how the computing strategies affected the programming of the economic model. Outcomes from the case study included improved quality control, more efficient updating, and the elimination of barriers to the characterization of uncertainty. With enough investment, enhancing the reproducibility of HTAs will enable improved transparency, better decision making, and ultimately population health gains.	en_US
dc.identifier.citation	Wagner, D. (2022). Enhancing the reproducibility of health technology assessments (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/39483
dc.identifier.uri	http://hdl.handle.net/1880/114250
dc.language.iso	eng	en_US
dc.publisher.faculty	Cumming School of Medicine	en_US
dc.publisher.institution	University of Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.	en_US
dc.subject	Health Economics	en_US
dc.subject	Health Technology Assessment	en_US
dc.subject	Reproducibility	en_US
dc.subject	Reproducible Research	en_US
dc.subject.classification	Economics	en_US
dc.subject.classification	Health Sciences	en_US
dc.title	Enhancing the Reproducibility of Health Technology Assessments	en_US
dc.type	doctoral thesis	en_US
thesis.degree.discipline	Medicine – Community Health Sciences	en_US
thesis.degree.grantor	University of Calgary	en_US
thesis.degree.name	Doctor of Philosophy (PhD)	en_US
ucalgary.item.requestcopy	true	en_US