Related Experiment Video
Updated: Feb 5, 2026
10:39
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
1.2K
CV risk prediction tools: Imperfect, Yes, but are they serviceable?
1Brody School of Medicine, East Carolina University, Greenville, NC, USA.
The Journal of Family Practice
|September 15, 2018
Summary
Cardiovascular disease (CVD) risk prediction tools can guide patients on modifying multiple risk factors, not just statin therapy decisions. This approach enhances preventative care strategies.
Area of Science:
- Cardiology
- Preventative Medicine
- Public Health
Background:
- Cardiovascular disease (CVD) risk prediction tools are established clinical aids.
- Current applications predominantly focus on guiding statin therapy initiation.
Purpose of the Study:
- To explore a broader application of CVD risk prediction tools.
- To evaluate their utility in promoting comprehensive risk factor modification counseling.
Main Methods:
- Review of current CVD risk prediction tool applications.
- Analysis of potential benefits for patient counseling beyond pharmacotherapy.
Main Results:
- Risk prediction tools offer valuable insights for discussing multiple CVD risk factors.
- Patient counseling can be enhanced by utilizing these tools for holistic risk management.
Conclusions:
- CVD risk prediction tools can be effectively repurposed for comprehensive patient counseling on risk factor modification.
- Shifting focus from solely statin advisement to broader lifestyle and risk factor management can improve preventative cardiovascular care.
More Related Videos
Related Concept Videos
02:27Predicting Molecular Geometry
45.9K
VSEPR Theory for Determination of Electron Pair Geometries
45.9K
01:12Relative Risk
2.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
01:30Primary Healthcare Services
2.1K
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
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...
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...
2.1K
01:30Preventive Healthcare Services
2.2K
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:
2.2K
01:03Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
01:26Factors Affecting the Risk of Infection
13.5K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.5K