Purpose: Comment the Discussion

Thing to Remember:

Answer this discussion with opinions/ideas creatively and clearly. Supports post using several outside, peer-reviewed sources.

1 References, find resources that are 5 years or less

No errors with APA format 6 Edition

Discussion of Class 505 Unit 1 Topic 2 Comment 2

Topic 2: Clinical Epidemiology

Read the first three chapters in the text by Fletcher. Explore the CDC site, National Center for Health Statistics at https://www.cdc.gov/nchs/. This site’s information is largely gleaned from epidemiological studies and data collections.

Discuss epidemiology as the scientific basis for clinical medicine and guideline development. Explain some types of data, performance measurements and possible reasons for variations in data. Next share a bit of information or statistic you learn from reviewing the National Center for Health Statistics site.

To Comment:

Clinical epidemiology, the study of disease prevalence and incidence in a given population, generates evidence based medicine to support clinical decision making. It is what clinicians use to inform patients of the risk and benefits in order to make health care decision together related to disease prevention, causes, frequency, prognosis and treatment (Fletcher, Fletcher, & Fletcher, 2014). This is significant because clinicians can use epidemiology to foresee and positively influence the negative outcomes that patients are concerned with which include death, disease, discomfort, disability, dissatisfaction (Fletcher, et al., 2014). Epidemiology studies aid clinicians in a meaningfully discussion with their patient about their plan of care.

There are several reasons to explain variations in data that must be taken into consideration when interpreting results of research. Variation in the measurement of the data collected depends on the reliability or repeatability of the tool used to measure and the consistency of the observers, validity or accuracy of the research design method used and the uncontrolled, natural difference in different people. In a study by Klompas (2010) high interrater reliability was specifically pointed. I see this as a way to establish that there was minimal variation in measuring the data to support validity or accuracy of the results.

I was drawn to the “healthy people” promotion from The National Center for Health Statistics (2017) website. Every ten years the National Center for Health Statistics seeks to improve the health of the general population by putting forth objectives to improve peoples’ health. They are already working on “healthy people 2030” to identify opportunities to help people maintain health. One of the objectives for 2020 is to increase access to health care. You can view the site to see statistics related to the number of people who have insurance. I see this as a good tool to use to help evaluate the health of the nation.


Fletcher, R. H., Fletcher, S. W., & Fletcher, G. S. (2014). Clinical epidemiology: the essentials (5th ed.). Baltimore, MD: Lippincott Williams & Wilkins.

Klompas, M. (2010). Interobserver variability in ventilator-associated pneumonia surveillance. American journal of infection control, 38(3), 237-239.

National Center for Health Statistics (2017). Healthypeople.gov. Retrieved August 5, 2017 from https://www.healthypeople.gov/2020/data-search/Search-the-Data#