Related Experiment Video
Updated: Jul 29, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
A conceptual framework for selecting appropriate populations for public health interventions
Jens Aagaard-Hansen1,2, Anette Lykke Hindhede3,4, Helle Terkildsen Maindal1,5
1Copenhagen University Hospital - Steno Diabetes Center Copenhagen (Health Promotion Research), Herlev, Denmark.
This study proposes a framework for selecting public health intervention populations, considering risk, vulnerability, space, and life-course stages for targeted prevention strategies.
Area of Science:
- Public Health
- Health Policy
- Epidemiology
Background:
- Defining target populations is crucial for effective public health interventions.
- Existing approaches include 'individuals at risk,' 'whole population,' 'vulnerable populations,' and 'spatial demarcations.'
Purpose of the Study:
- To propose a conceptual framework for selecting target populations in public health interventions.
- To integrate the life-course perspective as a temporal criterion for population selection.
- To guide informed decision-making in public health planning and research.
Main Methods:
- Review of seminal work (Geoffrey Rose) and subsequent contributions (Frohlich and Potvin).
- Exploration of different criteria for defining intervention populations: risk, social determinants, spatial, and temporal (life-course).
- Analysis of advantages and disadvantages of each criterion for primary, secondary, and tertiary prevention.
Main Results:
- The life-course perspective offers a temporal dimension for selecting target populations across different age phases.
- Each selection criterion (risk, vulnerability, space, life-course) has distinct implications for intervention strategies.
- The framework supports a balance between precision prevention and community-based interventions.
Conclusions:
- A comprehensive conceptual framework aids in selecting appropriate target populations for public health interventions.
- Integrating a life-course perspective enhances the temporal dimension of public health planning.
- Informed decisions on population selection are vital for optimizing precision prevention and community-based approaches.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
06:16Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
Published on: June 6, 2020
Related Concept Videos
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
Introduction to Epidemiology
Analysis of Population Pharmacokinetic Data
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...