Post a thoughtful response to at least two (2) other colleagues’ initial postings. Responses to colleagues should be supportive and helpful (examples of an acceptable comment are: “This is interesting – in my practice, we treated or resolved (diagnosis or issue) with (x, y, z meds, theory, management principle) and according to the literature…” and add supportive reference. Avoid comments such as “I agree” or “good comment.”
Response posts: Minimum of one (1) total reference: one (1) from peer-reviewed or course materials reference per response.
Words Limits
Response posts: Minimum 100 words excluding references.
Peer 1:
This discussion post is an article review related to the PICO question: In adult patients with Type II diabetes how did a ketogenic diet affect blood sugar and HbA1C without use of medications, when compared to patients who followed a standard diet.
The article selected Clinical effectiveness and cost‐impact after 2 years of a ketogenic diet and virtual coaching intervention for patients with diabetes (Strombotne et al., 2023), is a longitudinal quantitative study that followed its participants, Veterans with Type II diabetes who signed up to participate on a first-come-first-serve basis, and a control group created from the wait list after the program reached capacity, for two years.
This study identified that compared to the general population, Veterans are more likely to be Type II diabetics; it was conducted to determine the cost effectiveness and effectiveness of a ketogenic diet along with virtual coaching, due to the cost of care incurred by the Veterans Health Administration (VHA) in treating these patients. The goal of this study was to determine if the methodology of the study, ketogenic diet with vertical coaching, could be a long-term effective treatment for others similar to the participant group. (Strombotne et al., 2023). For this study, four hundred and fifty Veterans were selected to participate. To be selected participants had to be enrolled in the VHA for health care; have a current Type II diabetic diagnosis confirmed with an HbA1c >6.5%; along with a diagnosis of overweight or obesity as determined by categorial BMI; and at least one current prescriiption, other than or in addition to metformin. Excluded from the study were patients who were actively receiving chemotherapy treatments, had heart failure, Type I diabetes, end-stage renal failure or those on active-duty status. (Strombotne et al., 2023).
As it was a group of Veterans that participated, making this study an ethnographical qualitative could be done by examining why there is a higher prevalence of Type II diabetes in Veterans than in the general population, or if Veterans who served in specific areas or were exposed to certain phenomena, such as Agent Orange or burn pits, are more likely to be diagnosed with Type II diabetes.
As I am a person that likes hard facts, I prefer quantitative research over qualitative. I feel is much harder to compare a feeling or something that is not easily defined. Furthermore, I think that separating oneself or to the opposite effect submerging oneself within the research as is necessitated with quantitative research, would be difficult. (Godshall, 2020).
The reasoning behind this study did not surprise me, it saddened me. The premise was not to improve the health of the Veterans but to decrease the cost of their care. I guess in some cases the reasoning behind the study does not matter as much as the content of the study itself. Godshall, M. (2020). Fast facts for evidence-based practice in nursing. Springer Publishing Company.
Strombotne, K. L., Lum, J., Pizer, S. D., Figueroa, S., Frakt, A. B., & Conlin, P. R. (2023). Clinical effectiveness and cost‐impact after 2 years of a ketogenic diet and virtual coaching intervention for patients with diabetes. Diabetes, Obesity and Metabolism, 26(3), 1016–1022. https://doi.org/10.1111/dom.15401
Peer 2:
This discussion post will look at a quantitative research article that examines how parental obesity correlates to their children. In the article, “Is there a correlation between body mass index in children and body mass index in parents?”, the author chose a correlation designed study. These types of studies are known for finding a relationship between two subjects and not knowing exactly how or why they relate (Godshall, 2020). We know it’s this type of study because the author is trying to find the relationship of obese parents and obese children and is not necessarily trying to prove causation. They are examining what is happening from an outsider’s perspective without changing or doing anything to the subjects in the trial.
The purpose of this study is to recognize a correlation and possibly try to change habits if the correlation has a negative outcome. The author was looking at things like BMI, height, weight, physical activity and parent’s attitudes towards sugary treats and drinks (Yigit et al., 2024). This research was done on 434 children ages three to sixteen and their parents. The hypothesis being examined was implied to be that there is a correlation between parents and their children’s obesity patterns. If there was to be a similar study done in a qualitative fashion we could possibly ask the questions, what happens when we control the diets of obese children, or, does education around childhood obesity affect how parents feed their children then influencing their BMI? It would be more about having control over the study.
In conclusion, a quantitative correlation study gathers data and tries to find a relationship between things that are happening or causes that are creating an outcome. If I were given a choice I prefer quantitative research over qualitative. I think it’s easier to look at something that is already happening and making comparisons rather than attempting to change a variable and having research participants stick to it. Quantitative studies feel more like the people are making their normal, natural decisions in life.
References
Godshall, M. (2020). Fast facts for evidence-based practice in nursing (3rd ed.). Springer Publishing Company.
Yigit, M., Secgin, Y., Oner, Z., & Olukman, O. (2024). Is there a correlation between body mass index in children and body mass index in parents? The Atlantic Journal of Medical Science and Research, 4(1), 1-5. https://doi.org/10.5455/atjmed.2023.12.054
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