Measures of Disease

CHAPTER 1 Measures of Disease




The early disciples of medicine were fascinated by the observation that certain types of diseases tend to cluster. They searched for explanations to account for the trends they saw. They felt that if they could understand the process of the spread of disease, then perhaps illness could be prevented by avoiding the precipitating factors.


To have a successful prevention or treatment program, however, it was necessary to have a way to measure rates of disease. Only then would it be possible to verify that an intervention had a beneficial effect on the transmission of disease. The science of epidemiology evolved from the study of disease patterns and the desire to control disease rates. It uses biostatistical methods to study trends in large populations and to evaluate the effectiveness of treatment and prevention programs. It is helpful to know the basic methods of disease measurement to get an appreciation for the burden of disease on a population and to understand how biostatistics is applied to this science.


Epidemiology is the study of the distribution of illness in populations, based on the fact that diseases often present in a certain focus of people. This is especially apparent with infectious diseases that are transmitted from person to person, such as tuberculosis. The tendency for diseases to be seen in certain populations is not necessarily based on location, however. Clustering may also depend on other environmental factors, which are referred to as exposures. For instance, smokers tend to get certain lung diseases that non-smokers do not, no matter where they live. Epidemiology attempts to identify the exposures that are associated with disease and to control these factors, thereby reducing the disease rates. Through surveillance methods we can also identify potential epidemics, especially in reportable diseases.



INCIDENCE AND PREVALENCE


Diseases can be measured by quantifying the incidence rates at which they occur. The word rate implies that something is happening over time. Incidence is defined as the number of new cases of a disease that occur over a certain period of time, usually 1 year, divided by the number of people at risk. For example, if 15 people develop influenza out of 100 who are exposed over a year, the incidence of new cases of influenza is 0.15/year. Because incidence measures the occurrence of an event (disease) over time, it is a measurement of the risk of getting the disease if you belong to the population.



Incidence is used to track the baseline rates of disease and to measure the effectiveness of prevention programs such as immunizations. Hemophilus influenzae is a bacterium that can cause meningitis and epiglottis in young children. These are both potentially life-threatening illnesses. When the Hemophilus influenzae vaccination was introduced, the incidence of these diseases was markedly decreased (Figure 1-1). In addition to an overall decline in incidence, a shift was observed in the average age of presentation of these diseases—from very young children who were now protected by the vaccination, to older children who had not been immunized (Figure 1-2). If the incidence of a disease has been tracked for several years, we know its baseline rate. We do not expect a big change from year to year. If this happens, it triggers an investigation into the cause so we may intervene to prevent a worsening epidemic. In the mid 1980s, an alarming increase occurred in the incidence of tuberculosis (Figure 1-3) which alerted health care officials to an impending epidemic. Previously it seemed that tuberculosis was on its way to being suppressed in the United States because of the public health efforts that were in effect to control it. The increased incidence was partially attributed to the emergence of human immunodeficiency virus (HIV) infection, which increases one’s susceptibility to tuberculosis. This observation led to increased efforts to identify the affected individuals and ensure that they were treated.





Prevalence, on the other hand, is the number of persons affected with a disease compared to the number of persons in the population who could have the disease, at any given time. It does not account for the duration of the disease. It is like looking at a slice of the population at a point in time to see who has the disease and who does not. Since it does not identify the new cases, it is not a measure of risk, but it does reflect the burden of disease on the community.



The prevalence of diabetes shown in Figure 1-4

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Jun 18, 2016 | Posted by in BIOCHEMISTRY | Comments Off on Measures of Disease

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