Identify at least one sampling issue that would be particularly relevant at each level of the public health pyramid.

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January 29th, 2023

Discussion | HSA4140 | Florida International University, Modesto A. Maidique Campus

1. Primary Prevention Level: Sample bias is a big issue at the primary prevention level of public health due to the fact that it can be difficult to reach certain populations or areas that may have unique needs or risks associated with them. For example, in areas where access to healthcare is limited, samples collected from this population may not accurately represent the health needs and concerns of other individuals in different locations.

2. Secondary Prevention Level: At the secondary prevention level of public health, sample size can become an issue as samples must be large enough to provide a meaningful amount of data but also small enough to keep costs down and resources from being stretched too thin. If the sample size is too small, then there will not be enough information gathered for researchers to draw accurate conclusions about how best to address specific issues within a given population.

3. Tertiary Prevention Level: At the tertiary prevention level of public health, sampling error can arise when attempting to measure outcomes related to complex health conditions such as diabetes or cardiovascular disease. The various factors involved—including lifestyle changes, medication adherence and environmental influences—can all impact how effective treatment plans are and should be taken into account when designing studies so that any potential errors are minimized.

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