1, we can find the potential of customers to promote health.
2. Be able to judge the health status of the clients.
3, can determine the nursing problems.
4. It can make nursing work more scientific.
5. Health assessment is an important step to collect data, evaluate patients' situation, identify nursing problems and make nursing plans.
6. Complete, comprehensive and accurate evaluation is one of the important conditions to ensure high-quality nursing.
Health risk assessment
Health risk assessment (HRA) is a method or tool to describe and evaluate the possibility of an individual suffering from or dying of a specific disease in the future.
The purpose of this analysis process is to estimate the possibility of occurrence at a specific time, not to make a definite diagnosis. Quantitative assessment of personal health status and future illness/death risk by health risk assessors. Including health status, future illness/death risk and quantitative assessment.
Calculation of risk
Health risk assessment is an estimate of whether an individual with a certain health characteristic will develop a certain disease or health condition within a certain period of time. Common health risk assessment is generally based on the risk of death. Due to the development of technology and the change of health management requirements, health risk assessment has gradually expanded to disease-based risk assessment.
Because the latter can make individuals understand the role of risk factors more effectively. And control measures can be implemented more effectively and the cost can be reduced.
There are generally two methods for disease risk assessment and prevention. The first is based on a single risk factor and incidence, and the relationship between these single factors and incidence is expressed as relative risk, and the weighted score of each related factor is the risk of illness.
Because the scheme is simple and practical, it does not need a lot of data analysis, and it is the main risk assessment method in the early stage of health management development. Typical evaluation methods are Carter Center and American Diabetes Association.
The second method is based on multi-factor analysis, that is, the relationship model between disease risk and risk factors is obtained by statistical probability theory. In order to include more risk factors and improve the accuracy of evaluation, this data-based model has developed greatly in recent years.
In addition to the common multiple regression, there are neural network methods based on fuzzy mathematics and Monte Carlo models. The typical representative of this method is Framingham's coronary heart disease model, which is based on prospective research and is widely used.