Related Experiment Video

Updated: Jul 17, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

11.9K

Extending an Antiracism Lens to the Implementation of Precision Public Health Interventions

Caitlin G Allen1, Dana Lee Olstad1, Anna R Kahkoska1

  • 1Caitlin G. Allen and Ashley Hatch are with the Department of Public Health Sciences, College of Medicine, and Paula S. Ramos is with the Departments of Medicine and Public Health Sciences, Medical University of South Carolina, Charleston. Dana Lee Olstad is with the Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. Anna R. Kahkoska is with the Department of Nutrition, Laura V. Milko is with the Department of Genetics, and Megan C. Roberts is with the Eshelman School of Pharmacy, University of North Carolina, Chapel Hill. Yue Guan and Isabella Santangelo are with the Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA. Julia Steinberg is with The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Stephanie A. S. Staras is with the Department of Health Outcome and Biomedical Informatics, College of Medicine, and Institute for Child Health Policy, University of Florida, Gainesville. Crystal Y. Lumpkins is with the Department of Communication, Huntsman Cancer Institute, University of Utah, Salt Lake City. Erin Turbitt is with the Graduate School of Health, University of Technology Sydney, Ultimo, NSW, Australia. Alanna K. Rahm is with the Department of Genomic Health, Geisinger Medical Center, Danville, PA. Katherine W. Saylor is with the Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia. Stephanie Best is with the Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.

American Journal of Public Health
|August 31, 2023
PubMed

More Related Videos

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.7K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.4K

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
349
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
119
Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
65
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
1.6K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.1K
Preventive Healthcare Services01:30

Preventive Healthcare Services

Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.0K