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Smith, R.A. orcid.org/0000-0003-0245-3217, Schneider, P.P. orcid.org/0000-0003-3552-1087 and Mohammed, W. orcid.org/0000-0003-0370-4903 (2022) Living HTA: automating health economic evaluation with R. Wellcome Open Research, 7. 194. ISSN 2398-502X
Abstract
Background: Requiring access to sensitive data can be a significant obstacle for the development of health models in the Health Economics & Outcomes Research (HEOR) setting. We demonstrate how health economic evaluation can be conducted with minimal transfer of data between parties, while automating reporting as new information becomes available. Methods: We developed an automated analysis and reporting pipeline for health economic modelling and made the source code openly available on a GitHub repository. The pipeline consists of three parts: An economic model is constructed by the consultant using pseudo data. On the data-owner side, an application programming interface (API) is hosted on a server. This API hosts all sensitive data, so that data does not have to be provided to the consultant. An automated workflow is created, which calls the API, retrieves results, and generates a report. Results: The application of modern data science tools and practices allows analyses of data without the need for direct access – negating the need to send sensitive data. In addition, the entire workflow can be largely automated: the analysis can be scheduled to run at defined time points (e.g. monthly), or when triggered by an event (e.g. an update to the underlying data or model code); results can be generated automatically and then be exported into a report. Documents no longer need to be revised manually. Conclusions: This example demonstrates that it is possible, within a HEOR setting, to separate the health economic model from the data, and automate the main steps of the analysis pipeline.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Smith RA et al. This is an open access work distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (https://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Funding Information: | Funder Grant number Wellcome Trust 108903/B/15/Z |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Feb 2023 11:41 |
Last Modified: | 27 Apr 2024 01:22 |
Published Version: | http://dx.doi.org/10.12688/wellcomeopenres.17933.2 |
Status: | Published |
Publisher: | F1000 Research Ltd |
Refereed: | Yes |
Identification Number: | 10.12688/wellcomeopenres.17933.2 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196619 |
Available Versions of this Item
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Living HTA : automating health technology assessment with R [version 1; peer review: 1 approved with reservations]. (deposited 24 Aug 2022 09:31)
- Living HTA: automating health economic evaluation with R. (deposited 23 Feb 2023 11:41) [Currently Displayed]