Category - Cross Sectional Studies
Cross-Sectional Studies can provide a snapshot of the frequency of a disease or other health-related characteristics in a population at a given point in time. This methodology can be used to assess local researchers with the burden of disease or the health needs of a population. Therefore, these studies are particularly useful in informing the planning and allocation of health resources.
In a cross-sectional study, data is collected on the whole study population at a single point in time to examine the relationship between disease (or other health-related states) and other variables.
1. Cross-sectional studies measure the exposure and the outcome at the same time.
2. Cross-sectional studies estimate the prevalence of a disease or condition.
3. Cross-sectional studies cannot establish a temporal relationship between the exposure and the outcome.
Cross-Sectional Study Types:
Analytical cross-sectional studies use data on the prevalence of both exposure and health outcome of a person. The data is obtained for the purpose of comparing health outcome differences between exposed and unexposed individuals. Analytical studies can attempt to describe the prevalence of, for example, a disease or non-disease by first beginning with a population base.
Descriptive cross-sectional studies help characterize the prevalence of a health outcome in a specified population. Prevalence can be assessed at either one point in time (point prevalence) or over a defined period of time ( period prevalence). Period prevalence is required when it takes time to accumulate a piece of sufficient information on a disease in a population like what proportion of people are being cared for by a public health clinic over a year pf having hypertension. These prevalence measures are most commonly used in public health.
Sorry, there are no posts found on this page. Feel free to contact website administrator regarding this issue.