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โ›‘๏ธPublic Health Ethics Unit 12 Review

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12.3 Ethical considerations in precision public health

โ›‘๏ธPublic Health Ethics
Unit 12 Review

12.3 Ethical considerations in precision public health

Written by the Fiveable Content Team โ€ข Last updated September 2025
Written by the Fiveable Content Team โ€ข Last updated September 2025
โ›‘๏ธPublic Health Ethics
Unit & Topic Study Guides

Precision public health uses big data to create targeted health interventions for specific groups. It aims to improve disease prevention by tailoring approaches to unique characteristics and needs, recognizing that one-size-fits-all methods aren't always best.

While promising, precision public health raises ethical concerns about privacy, discrimination, and fairness. It's crucial to ensure data security, prevent stigmatization, and promote equitable access to avoid worsening health disparities among different populations.

Precision Public Health: Definition and Applications

Definition and Goals of Precision Public Health

  • Precision public health is an emerging approach that utilizes large-scale data, including genomic, environmental, and social determinants of health, to develop targeted interventions for specific subpopulations
  • Aims to improve the effectiveness and efficiency of disease prevention and health promotion efforts by tailoring interventions to the unique characteristics and needs of individuals or subgroups
  • Seeks to address the heterogeneity of disease risk and response to interventions within populations, recognizing that one-size-fits-all approaches may not be optimal for all individuals or subgroups

Potential Applications of Precision Public Health

  • Targeted screening programs (genetic screening for specific cancer risks)
  • Personalized risk communication (individual risk assessments based on genomic and environmental data)
  • Development of customized health education materials and interventions (tailored messaging based on cultural and linguistic preferences)
  • Precision public health has the potential to enhance the impact of public health interventions by addressing the specific needs and risk factors of different subpopulations (rural communities, ethnic minorities)

Ethical Challenges in Personalized Data Use

Privacy, Confidentiality, and Data Security Concerns

  • The use of genomic and personalized data in precision public health raises concerns about privacy, confidentiality, and the potential for misuse or unauthorized access to sensitive information
  • Ethical challenges related to informed consent and the communication of complex genomic and personalized risk information to individuals and communities
  • Ensuring the security of personal data and protecting against data breaches or unauthorized use is a critical ethical obligation in precision public health

Potential for Stigmatization and Discrimination

  • The use of genomic and personalized data may lead to the stigmatization or discrimination of individuals or groups based on their genetic or other personal characteristics (pre-existing health conditions, family health history)
  • Ethical considerations surrounding the ownership, control, and sharing of genomic and personalized data for precision public health purposes
  • Safeguards must be in place to prevent the misuse of personal data and to protect individuals and communities from discrimination based on their genetic or health information

Health Disparities and Equitable Access in Precision Public Health

Risks of Exacerbating Health Disparities

  • Precision public health approaches may exacerbate health disparities if they are not designed and implemented with attention to issues of equity and access
  • There is a risk that precision public health interventions may primarily benefit advantaged populations who have greater access to genomic and personalized health services (high-income communities, individuals with comprehensive health insurance)
  • Ethical obligations in precision public health include ensuring that targeted interventions are available and accessible to all individuals and communities who can benefit from them, regardless of socioeconomic status or other factors

Strategies for Promoting Equitable Access

  • Community engagement and partnership with community-based organizations to ensure that precision public health interventions are responsive to the needs and priorities of diverse communities
  • Development of culturally-tailored interventions that are accessible and acceptable to different population subgroups (language-appropriate materials, community health workers)
  • Ensuring that precision public health technologies and services are affordable and covered by public and private health insurance plans
  • Ongoing monitoring and evaluation of precision public health interventions to assess their impact on health disparities and to identify areas for improvement

Ethical Implications of Risk Stratification and Targeted Interventions

Allocation of Public Health Resources

  • Risk stratification in precision public health involves the use of data to identify individuals or subgroups at higher risk for specific health conditions or outcomes
  • Targeted interventions based on risk stratification raise ethical questions about the allocation of public health resources and the potential for neglecting the needs of lower-risk populations
  • Ethical considerations related to the accuracy and validity of risk stratification models and the potential for false positives or false negatives in identifying high-risk individuals

Individual Autonomy and Informed Decision-Making

  • The use of risk stratification and targeted interventions may raise concerns about individual autonomy and the right to make informed decisions about one's own health
  • Ethical implementation of risk stratification and targeted interventions requires transparency, community engagement, and ongoing monitoring and evaluation to ensure that they are benefiting the intended populations and not causing unintended harms
  • Individuals should be provided with clear and accessible information about how their personal data is being used for risk stratification and targeted interventions, and should have the opportunity to opt-out if desired