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A Value Framework for Evaluating Population Genomic Programs: A Mixed Methods Approach.

David Campbell1, Scott Spencer2, Ashley Kang1

  • 1Curta Inc., Seattle, WA 98104, USA.

Journal of Personalized Medicine
|July 25, 2025
PubMed
Summary
This summary is machine-generated.

A new value framework was developed to assess population genomic programs (PGPs). This framework captures diverse value domains, aiding resource allocation and program evaluation.

Keywords:
genome sequencinggenomic medicinehealthcare infrastructurepopulation health genomicspopulation sequencingprecision medicine

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Area of Science:

  • Genomics
  • Health Economics
  • Program Evaluation

Background:

  • Existing value frameworks do not encompass the broad value domains of population genomic programs (PGPs).
  • There is a need for a comprehensive tool to evaluate the multifaceted impact of PGPs.

Purpose of the Study:

  • To develop and present a novel value framework specifically designed for evaluating population genomic programs.
  • To identify and categorize the key value domains inherent in PGPs.

Main Methods:

  • A mixed-methods approach combining a targeted literature review and semi-structured expert interviews.
  • The literature review identified value elements from 8 relevant articles, informing a preliminary framework.
  • Thematic analysis of 11 expert interviews refined the framework's value domains and elements.

Main Results:

  • The developed framework includes core domains: health, education/research, enterprise/finance, and labor.
  • Extended domains such as agriculture and security can be incorporated based on program specifics.
  • The framework allows for exclusion of domains based on stakeholder objectives and program characteristics.

Conclusions:

  • This novel framework offers a comprehensive approach to assessing the value of population genomic programs.
  • It serves as a foundational tool for more efficient and informed resource allocation in PGPs.
  • The framework supports a standardized method for evaluating the diverse impacts of genomic initiatives.