A Rapid Review on the Value of Biobanks Containing Genetic Information.

Value Health

Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada; Centre for Health Evaluation and Outcome Sciences (CHÉOS), St. Paul's Hospital, Vancouver, BC, Canada.

Published: September 2023

AI Article Synopsis

  • The study aims to summarize the impacts of biobanks containing genetic information on research and clinical practices to better understand the value of expanding access to genomic data.
  • A rapid review of literature and databases from 2010 to 2022 found that most studies focused on research-related indicators, such as publications, rather than clinical outcomes.
  • There's a need for more comprehensive measurements of both outputs and outcomes, to better showcase the advantages of sharing genomic data beyond easily quantifiable results.

Article Abstract

Objectives: Increasing access to health data through biobanks containing genetic information has the potential to expand the knowledge base and thereby improve screening, diagnosis, and treatment options for many diseases. Nevertheless, although privacy concerns and risks surrounding genetic data sharing are well documented, direct evidence in favor of the hypothesized benefits of data integration is scarce, which complicates decision making in this area. Therefore, the objective of this study is to summarize the available evidence on the research and clinical impacts of biobanks containing genetic information, so as to better understand how to quantify the value of expanding genomic data access.

Methods: Using a rapid review methodology, we performed a search of MEDLINE/PubMed and Embase databases; and websites of biobanks and genomic initiatives published from 2010 to 2022. We classified findings into 11 indicators including outputs (a direct product of the biobank activities) and outcomes (changes in scientific and clinical capacity).

Results: Of 8479 abstracts and 101 gray literature sources were reviewed, 96 records were included. Although most records did not report key indicators systematically, the available evidence concentrated on research indicators such as publications and gene-disorder association discoveries (63% of studies), followed by research infrastructure (26%), and clinical indicators (11%) such as supporting the diagnosis of individual patients.

Conclusions: Existing evidence on the benefits of biobanks is skewed toward easily quantifiable research outputs. Measuring a comprehensive set of outputs and outcomes inspired by value frameworks is necessary to generate better evidence on the benefits of genomic data sharing.

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Source
http://dx.doi.org/10.1016/j.jval.2023.02.017DOI Listing

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