A Value Framework for Evaluating Population Genomic Programs: A Mixed Methods Approach
David Campbell, Scott Spencer, Ashley Kang, Rajshree Pandey, Sarah Katsandres, David Veenstra

TL;DR
This paper creates a new framework to evaluate the value of population genomic programs using a mix of literature review and stakeholder input.
Contribution
The novel contribution is a mixed methods value framework capturing broad domains for evaluating population genomic programs.
Findings
A preliminary framework was developed from 8 value elements extracted from 23 reviewed articles.
Stakeholder input refined the framework into core and extended value domains including health, education, and security.
The framework allows for domain exclusion based on stakeholder objectives and program characteristics.
Abstract
Background/Objectives: Value frameworks are useful tools to explicitly define the dimensions and criteria important for decision-making, but no existing frameworks capture the broad value domains of population genomic programs. Using a mixed methods approach, we aimed to develop a novel value framework for evaluating population genomic programs (PGPs). Methods: We first conducted a targeted literature review of published evidence on the value of PGPs and existing frameworks to evaluate and quantify their impact. Value domains and elements were extracted and summarized to develop a preliminary framework. Semi-structured stakeholder interviews on the preliminary framework were conducted from March 2024 to October 2024 with 11 experts representing 9 countries. A thematic analysis of interview transcripts was conducted to map value elements to domains of the final framework. Results: We…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life · Ethics in Clinical Research · CRISPR and Genetic Engineering
