hmgt resp 5

Respond to these discussions, and include 2 references, 1 from the reading and 1 external source and intext citations. Also include the names of in each response

Antoinette

provides the breadth of information required to understand the various dimensions of a healthcare problem as well as the different issues that are to be investigated (Borgstede & Scholz, 2021). The breadth of data is based on numbers and how they influence a given geographical area. This is important to note because of the central theme of health assessed by the realities of the healthcare service field. Since only the quantitative research process can help in the healthcare service field, it is important to look at its continued influence in helping to determine the figures and how they influence research outcomes (Borgstede & Scholz, 2021). A critical question that can be assessed is: How many healthcare needs are affected by nursing shortages in the state? This investigation would be enhanced by the illustration of the number of issues and how they influence the healthcare needs of residents. The understanding that a given geographical area would be affected offers an understanding of the percentage of the population that would be at risk. This has a critical challenge in promoting and effectively discussing the numbers affected and how. The quantitative method offers this understanding in the long term (Borgstede & Scholz, 2021). Some of the research methods that can be used are the descriptive method which enables the descriptions of the data as well as the quantitative design. These elements allow the continued illustration of differentiated measures that strengthen the quantitative approach as research on the breadth of the problem. Some of the bias expected includes the appreciation of the numbers while ignoring the story behind the numbers (Borgstede & Scholz, 2021). Stories behind the number are critical to the research outcome, hence the need for progressive growth of the research process.

References

Borgstede, M., & Scholz, M. (2021). Quantitative and Qualitative Approaches to Generalization and Replication–A Representationalist View.

Frontiers in Psychology, 

https://www.frontiersin.org/articles/10.3389/fpsyg.2021.605191/full

Charlene

Quantitative research can be used to determine the “who, what, when, and where” of a patient’s conditions. (
Common data types in public health research) Diabetic research is an excellent example of how quantitative research has benefited healthcare. Through quantitative research, we used numerical data such as a person’s age, height, and weight to determine their predisposition to diabetes. A researchable question that will use a quantitative research approach would be “Do glucose monitors in children with Type 1 diabetes aid in maintaining a safe blood glucose level.” We would need to monitor students with a glucose monitor and a cell phone. This access will give them a visual and quick depiction of their blood sugar before experiencing hypo or hyperglycemia symptoms. Continuous Glucose Monitoring (CGM) has improved the quality of life of many Diabetics. (Rodbard, 2017) As healthcare research and technology improve, so does the benefit, it can substantially reduce blood glucose and warn those experiencing low blood sugar. About five students come to see me daily to check their blood sugar; many of them are always high. School-age children do not always follow directions nor want to feel left out when all of their classmates are eating and drinking as they please. Some challenges to this research question are cell phones, and most CGMs will send a notification to a cell phone. The parent will get the message if the child does not have one due to age. This could delay treatment if the parent does not check the notification immediately.

Rodbard, D. (2017, June). 
Continuous Glucose Monitoring: A review of recent studies demonstrating improved glycemic outcomes. Diabetes technology & therapeutics. Retrieved from 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467105/

U.S. Department of Health and Human Services. (n.d.). 
Common data types in public health research. National Institutes of Health. Retrieved from https://www.nihlibrary.nih.gov/resources/subject-guides/health-data-resources/common-data-types-public-health-research