Related Experiment Video
Updated: Jun 24, 2026
05:35
A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level
Published on: January 19, 2024
A SWOT Analysis of PrEPChoices: Developing a Web-Based Decision Aid Tool to Support HIV Prevention Decision-Making
Carley Brissette1, Kevin Le1, Raquel Teper1
1Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
AIDS and Behavior
|June 22, 2026
Summary
PrEPChoices, a web-based tool, aids sexual and gender minority youth (SGMY) and healthcare providers in selecting HIV prevention methods. It enhances communication and decision-making, improving HIV prevention access and uptake for SGMY.
Area of Science:
- Public Health
- Digital Health
- Health Communication
Background:
- Sexual and gender minority youth (SGMY) face higher HIV risks due to communication barriers with healthcare providers (HCPs) regarding sexual health.
- Decision-aid tools can improve communication and shared decision-making for HIV prevention among SGMY.
Purpose of the Study:
- To evaluate PrEPChoices, a web-based decision aid, for informing HIV prevention modality selection for HCPs and SGMY.
- To assess the clarity, relevance, usability, and application of PrEPChoices.
Main Methods:
- A qualitative study involving semi-structured interviews with 15 HCPs and 18 SGMY.
- Participants evaluated PrEPChoices, a web-based decision aid tool.
- Thematic analysis within a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework was applied to interview transcripts.
Main Results:
- Strengths: supported HIV prevention decision-making, effective filtering tool, intuitive design.
- Weaknesses: disparities in needs/literacy, limited visual appeal/representation, insufficient comparison features.
- Opportunities: multimodal dissemination, expanded resources. Threats: clinical integration challenges, competition with other resources.
Conclusions:
- PrEPChoices is valuable for enhancing HIV prevention modality selection among SGMY.
- The tool can reduce barriers to sexual health education, improve patient-provider relationships, and strengthen HIV prevention efforts for SGMY.
Related Concept Videos
01:09Decision Making: P-value Method
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
01:26Levels of Health Promotion and Illness Prevention
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
01:18Models 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 from...
The agent-host-environment model states that disease results from...
01:12Statistical Software for Data Analysis and Clinical Trials
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
01:30Preventive 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:
01:20Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.