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Journal article : Review

Defining a core data set for the economic evaluation of precision oncology

Abstract:

Objectives: Precision oncology is generating vast amounts of multiomic data to improve human health and accelerate research. Existing clinical study designs and attendant data are unable to provide comparative evidence for economic evaluations. This lack of evidence can cause inconsistent and inappropriate reimbursement. Our study defines a core data set to facilitate economic evaluations of precision oncology.

Methods: We conducted a literature review of economic evaluations of next-generation sequencing technologies, a common application of precision oncology, published between 2005 and 2018 and indexed in PubMed (MEDLINE). Based on this review, we developed a preliminary core data set for informal expert feedback. We then used a modified-Delphi approach with individuals involved in implementation and evaluation of precision medicine, including 2 survey rounds followed by a final voting conference to refine the data set.

Results: Two authors determined that variation in published data elements was reached after abstraction of 20 economic evaluations. Expert consultation refined the data set to 83 unique data elements, and a multidisciplinary sample of 46 experts participated in the modified-Delphi process. A total of 68 elements (81%) were selected as required, spanning demographics and clinical characteristics, genomic data, cancer treatment, health and quality of life outcomes, and resource use.

Conclusions: Cost-effectiveness analyses will fail to reflect the real-world impacts of precision oncology without data to accurately characterize patient care trajectories and outcomes. Data collection in accordance with the proposed core data set will promote standardization and enable the generation of decision-grade evidence to inform reimbursement.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jval.2022.01.005

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Population Health
Research group:
Health Economics Research Centre; NIHR Biomedical Research Centre
Role:
Author
ORCID:
0000-0002-2361-3040


Publisher:
Elsevier
Journal:
Value in Health More from this journal
Volume:
25
Issue:
8
Pages:
1371-1380
Place of publication:
United States
Publication date:
2022-02-23
Acceptance date:
2022-01-10
DOI:
EISSN:
1524-4733
ISSN:
1098-3015
Pmid:
35216902


Language:
English
Keywords:
Subtype:
Review
Pubs id:
1241833
Local pid:
pubs:1241833
Deposit date:
2023-02-06
ARK identifier:

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