Discussion: Descriptive Epidemiology
Diabetes mellitus is a common metabolic disease that leads to high blood glucose levels (Amalarethinam & Vignesh, 2015). Diabetic people do not make enough insulin, or the body does not use the insulin produced. Some of the symptoms of diabetes mellitus include blurry vision, extreme fatigue, sores that do not heal, increased thirst, hunger, and weight loss (CDC, 2017). The disease is common among both men and women aged above 45 years (Celik et al., 2020; Heter, 2019). Diabetes mellitus is closely linked to other diseases such as obesity and overweight (Davies et al., 2019). Since it has the highest prevalence in the American population, there is the need to find solutions to lower the number of people affected in the American population.
The sources used, seek to show how modern and technological solutions have been created to help people affected by diabetes mellitus. CDC (2017) shows the prevalence of the disease in the American population and the prediction. Additionally, Celik, Forde, and Sturt (2020) discuss self-management of diabetes mellitus, where the patients are trained about knowledge and skills to live with the disease. The research utilizes an experimental approach to measure the effectiveness of managing diabetes mellitus between groups involving clinical management at hospitals and self-management. Further, Davies et al. (2019) use the mixed methodology to study about self-management of diabetes as a solution to the rampant cases of poor management of the disease at home. Heter (2019) researched ways to encourage people in the community to undertake self-management training on diabetes to better manage the condition in a large population. Finally, Amalarethinam and Vignesh (2015) utilize technology to statistically predict the prevalence of the disease if the current management strategies are retained.
One of the methods used to collect data is the questionnaire. The questionnaire can reach more target people in the community. This can help target a large number of participants, which helps in making the study results more reliable when applied to a large population. Another data collection method is the interviews which collect raw data from a smaller sample. In a study, this method can collect data from health experts to ensure more about the intervention methods used against diabetes. Interviews are cheap and each to complete (Creswell, 2014). However, they collect large mountains of data which nee
NURS 8310 Discussion Descriptive Epidemiology ANSWER
d to be analyzed slowly to avoid mistakes.
References
Amalarethinam, D. I. G., & Vignesh, N. A. (2015). Prediction of diabetes mellitus using data mining techniques: A Survey. International Journal of Applied Engineering Research, 24-31.
CDC. (2017). New CDC report: More than 100 million Americans have diabetes or prediabetes. https://www.cdc.gov/media/releases/2017/p0718-diabetes-report.html
Celik, A., Forde, R., & Sturt, J. (2020). The impact of online self-management
interventions on midlife adults with type 2 diabetes: a systematic review. British journal of nursing (Mark Allen Publishing), 29(5), 266–272. https://doi.org/10.12968/bjon.2020.29.5.266
Creswell, J. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. New York: Sage Publications.
Davies, M. J., Kristunas, C. A., Alshreef, A., Dixon, S., Eborall, H., Glab, A., Huddlestone, L., Hudson, N., Khunti, K., Martin, G., Northern, A., Patterson, M., Pritchard, R., Schreder, S., Stribling, B., Turner, J., & Gray, L. J. (2019). The impact of an intervention to increase uptake to structured self-management education for people with type 2 diabetes mellitus in primary care (the embedding package), compared to usual care, on glycaemic control: study protocol for a mixed methods study incorporating a wait-list cluster randomized controlled trial. BMC Family Practice, 20(1). https://doi.org/10.1186/s12875-019-1038-0
Heter, A. (2019). Encouraging Participation in Diabetes Self-Management Education (DSME)
Programs for the Patient with Type 2 Diabetes Mellitus. The Midwest Quarterly, 60(3),3-19. https://link.gale.com/apps/doc/A583693216/AONE?u=anon~d8aa9e9a&sid=googleScholar&xid=e3a5add2
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