The PICOT question is: In Black diabetes mellitus type II patients (P), will the early communication of HbA1c indicators within a specialized team (I), compared to Black diabetes mellitus type II patients who were not subject to the new protocol (C), yield better health outcomes (O), at a one-year point after the introduction of the protocol? (T). This paper aims to analyze the importance of the variables and their topicality to the chosen PICOT question.
The first variable (column heading) Author/Year would be relevant for the question in order to identify when the proposed intervention was tested. Besides, it is vital to know the researchers’ names to reference their investigations in the current work further. The second column, Conceptual Framework, contributes to the proper PICOT question organization. In the present case, it is observed that the PICOT question consists of indispensable parts, including population, intervention, comparison, outcome, and time (Pamungkas et al., 2017). It is worth noting that the elements are ordered in a fixed sequence, facilitating further investigation as the structure is already provided.
One of the most critical relevance-based columns for investigating the chosen PICOT question would be Design/Method. Its relevance is due to the fact that the proposed issue requires specific intervention, in particular tests for HbA1c. Based on the question, it can be noted that this is experimental research. The primary method identified within the PICOT question is the experiment that presumes medical intervention. Moreover, observation and comparison are also included in the methodology.
Besides, the column Sample/Setting is vital for this research because it includes both the control and treatment groups. The control group would consist of Black diabetes mellitus type II patients while Black diabetes mellitus type II patients subjected to the new protocol would constitute the treatment group. Notably, the chosen sample comprises people of color, which makes the research highly specialized (Pamungkas et al., 2017). Even though the setting is not stated, it appears that the experiment will be conducted in the context of a hospital.
The column titled Major Variables consists of the independent variable, namely Black diabetes mellitus type II patients exposed to the new protocol and Black diabetes mellitus type II patients with no intervention. In turn, the dependent variable presupposes the outcome of the experiment (Melnyk & Fineout-Overholt, 2014). Hence, this column is crucial for the research since it allows for establishing the results. The data obtained can be compiled in the Data Analysis column, which further contributes to identifying patterns depending on the intervention.
The Findings column will demonstrate the most critical observation within the control and treatment groups. Furthermore, the outcomes can further investigate HbA1c tests and reveal their impact on diabetes recognition at early stages. The final section entitled Appraisal includes a description of the practical implementation of the PICOT question. This column would also constitute recommendations and implications in regards to the proposed and further research in evidence-based practice.
In conclusion, it is observed that the Design/Method column is amongst the essential variable for the research since it defines its organizational structure. Major Variables section is relevant to describe the most important variables within the chosen PICOT question. Yet, the Findings column poses significant relevance since it presents the investigation outcomes that can further be implemented in practice. It should be noted that these three columns are indispensable to research the posed question efficiently. The study will also help to develop a synthesis table that describes the existing materials and data obtained after the experiment. It will allow researchers to reflect upon the usage of HbA1c tests in a patient with diabetes to avoid complications.
Melnyk, B., & Fineout-Overholt, E. (2014). Evidence-based practice in nursing & Healthcare: A guide to best practice (3rd ed.). Wolters Kluwer.
Pamungkas, R. A., Chamroonsawasdi, K., & Vatanasomboon, P. (2017). A systematic review: Family support integrated with diabetes self-management among uncontrolled type II diabetes mellitus patients. Behavioral Sciences, 7(3), 62. Web.