Related Experiment Video
Updated: May 3, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
The priority group index: a proposed new method incorporating high risk and population burden to identify target
Bo Zhang1, Joanna E Cohen, Shawn OʼConnor
1Ontario Tobacco Research Unit, Dalla Lana School of Public Health, University of Toronto, Canada (Drs Zhang, Cohen, and O'Connor); Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Dr Cohen).
Context:
Selection of priority groups is important for health interventions. However, no quantitative method has been developed.
Objectives:
To develop a quantitative method to support the process of selecting priority groups for public health interventions based on both high risk and population health burden.
Design:
Secondary data analysis of the 2010 Canadian Community Health Survey.
Setting:
Canadian population.
Participants:
Survey respondents.
Methods:
We identified priority groups for 3 diseases: heart disease, stroke, and chronic lower respiratory diseases. Three measures--prevalence, population counts, and adjusted odds ratios (OR)--were calculated for subpopulations (sociodemographic characteristics and other risk factors). A Priority Group Index (PGI) was calculated by summing the rank scores of these 3 measures.
Results:
Of the 30 priority groups identified by the PGI (10 for each of the 3 disease outcomes), 7 were identified on the basis of high prevalence only, 5 based on population count only, 3 based on high OR only, and the remainder based on combinations of these. The identified priority groups were all in line with the literature as risk factors for the 3 diseases, such as elderly people for heart disease and stroke and those with low income for chronic lower respiratory diseases. The PGI was thus able to balance both high risk and population burden approaches in selecting priority groups, and thus it would address health inequities as well as disease burden in the overall population.
Conclusions:
The PGI is a quantitative method to select priority groups for public health interventions; it has the potential to enhance the effective use of limited public resources.
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
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Primary Healthcare Services
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Preventive Healthcare Services
Analysis of Population Pharmacokinetic Data