HIV epidemic has been characterized by clinical and epidemiological instability because it spreads rapidly and the disease has infected many people. Additionally, the disease has reacted to treatment and has been related to a changing spectrum of illnesses that are opportunistic (Frankel, McNaghten, Shapiro, Sullivan, Berry, Johnson, Flagg, Morton, & Bozzette, 2012). As such, surveillance is essential for planning and monitoring the responses of diseases with the changing behaviors that are similar to those of the HIV. It is, therefore, important for the health care sector to monitor the HIV patients through a probability sampling in the U.S.
The probability sampling has been essential to the health sector in determining the manner in which surveillance that provides best answers regarding the HIV impact and status. The probability sampling is best for finding out the changes that have taken place in the spectrum of the disease, the affected population as well as the illness’s social associates and how it spreads with speed (Royse, Thyer, & Padgett, 2010). The probability sampling technique is also vital to the challenges that face the reforms that the system of health care should get. The technique has also been used in carrying out researches in small towns. Such research has been essential in providing behavioral and clinical details that have not been achieved at the national level through the application of the same technique.
Delegate your assignment to our experts and they will do the rest.
The Medical Monitoring Project (MMP) is a national probability sampling program whose role is to combine abstractions of medical records from patients with interviews (Teddlie, 2007). The MMP applies the probability sampling because it generates estimates that are not biased through the development of a sample that represents the target region with accuracy. Such sampling has been essential in providing accurate measures when collecting samples from various states in the U.S. The selection of the Primary Sampling Units is selected using probabilities and geographic stratification that is proportionate to an estimated number of the individuals living with HIV/AIDs.
References
Frankel, M., R., McNaghten, A., D., Shapiro, M., F., Sullivan, P., S., Berry, S., H., Johnson, C., H., Flagg, E., W., Morton, S., & Bozzette, S., A. (2012). “A Probability Sample for Monitoring the HIV-infected Population in Care in the U.S. and in Selected States.” The Open AIDS Journal, 6, (Suppl 1: M2) pp. 67-76. http://www.cdc.gov/hiv/pdf/research_mmp_probability_sample.pdf
Royse, D., D., Thyer, B., A., & Padgett, D. (2010). Program evaluation: An introduction . Australia: Wadsworth Cengage Learning. https://books.google.com/books?isbn=1455775460
Teddlie, C. (2007). Mixed Method Sampling: A Typology with Example. Journal of Mixed Methods Research. Vol. 1, Issue 77. DOI: 10.1177/2345678906292430. http://sociologyofeurope.unifi.it/upload/sub/documenti/Teddlie%20-%20Mixed%20Methods%20Sampling%20-%20A%20Typology%20With%20Examples.pdf
