Reply to Response 1 (Elements of Clinical Research Question)
Great post! Your discussion was informative and fascinating. Consequently, your PICOT comprises all elements of a clinical research question: population, intervention, comparison, outcome, and time. Furthermore, your research question is vital to determine whether the patient-centered approach is appropriate for improving the quality of care, patient satisfaction, and health outcomes among patients with Chronic Kidney Disease (CKD) (Elements of Clinical Research Question).
Moreover, the patient-centered approach can help to provide individualized treatments depending on the patient’s needs. Besides, Your PICOT promotes evidence-based practice through research to reduce complications and cost-effective kidney transplants and home dialysis. Patient-centered care will also promote shared decision-making to care that aligns with patients’ values, goals, and preferences while empowering them to make decisions that affect their health during ESRD prevention, diagnosis, and treatment (ESRD (Kalantar-Zadeh et al., 2021) (Elements of Clinical Research Question).
Reference
Kalantar-Zadeh, K., Li, P. K., Tantisattamo, E., Kumaraswamy, L., Liakopoulos, V., Lui, S., Ulasi, I., Andreoli, S., Balducci, A., Dupuis, S., Harris, T., Hradsky, A., Knight, R., Kumar, S., Ng, M., Poidevin, A., Saadi, G., & Tong, A. (2021). Living well with kidney disease by patient and care-partner empowerment: Kidney health for everyone everywhere. Canadian Journal of Kidney Health and Disease, 8, 205435812199527. https://doi.org/10.1177/2054358121995276
Reply to Response 2
Good work! Your discussion is educative and fascinating. Moreover, your PICOT on incorporating dietary practice with low fat and carb content and physical activities intervention will be instrumental in improving quality of life while reducing risk factors for cardiovascular problems such as hypertension. Consequently, your clinical research question will offer evidence-based information for creating scientifically proven interventions for preventing and managing cardiovascular conditions (Elements of Clinical Research Question).
Your patient population is appropriate since 65 years and above are at high risk of cardiovascular complications. Aging causes heart and blood vessels to stiffen, leading to high blood pressure, thus predisposing one to cardiovascular problems (Singam et al., 2019). Thus, nurse-led interventions based on evidence-based practice will help to improve patient care and health outcomes (Elements of Clinical Research Question).
Reference
Singam, N. S., Fine, C., & Fleg, J. L. (2019). Cardiac changes associated with vascular aging. Clinical Cardiology, 43(2), 92-98. https://doi.org/10.1002/clc.23313
Reply to Response 3
Great post! Thank you for sharing your discussion on the importance of nurse-led preoperative education aid to improve patient outcomes and reduce hospitalization days among surgical patients. Although your PICOT question was well formulated, it does not have a comparison intervention. Moreover, in the case of your clinical question, you can use standard care as a comparison intervention (Elements of Clinical Research Question).
Therefore, you will compare the health outcomes and hospitalization days of surgical patients who receive nurse-led preoperative education to those who do not. Furthermore, implementing preoperative education has been associated with decreased anxiety, better control of postoperative pain, realistic surgery expectations, decreased hospitalization days, and a high rate of home discharge (Pelkowski et al., 2021) (Elements of Clinical Research Question).
Reference
Pelkowski, J. N., Yoon, S. L., & Adams, S. (2021). Benefits of implementation of preoperative education classes for hip and knee arthroplasty. Current Orthopaedic Practice, 32(2), 112-117. https://doi.org/10.1097/bco.0000000000000959
DQ2 Responses
Reply to Response 1
Great post! Thank you for discussing the differences between qualitative and quantitative data. Consequently, collecting qualitative and quantitative data enables healthcare professionals and researchers to gather information about various health issues, draw conclusions, and make informed decisions. Quantitative data is deductive and analyses phenomena based on frequencies and trends, while qualitative data is inductive and focuses on determining the meaning of a phenomenon using descriptions (Borgstede & Scholz, 2021).
Thus, quantitative data is measurable, countable, and number-based compared to qualitative data that is descriptive, integration-based, and related to languages. While qualitative data is interpreted through thematic analysis, content analysis, or ground theory, quantitative data is interpreted through descriptive statistics such as inferential statistics used to determine the statistical significance of datasets(Elements of Clinical Research Question).
Reference
Borgstede, M., & Scholz, M. (2021). Quantitative and qualitative approaches to generalization and Replication–A Representationalist view. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.605191
Reply to Response 2
Great post! Your discussion was educative and engaging. I agree that qualitative data is based on characteristics and traits of an object or phenomenon, while qualitative data is quantifiable and numerical values of phenomena. Qualitative data is collected through diary accounts, documents, in-depth interviews, case study research, focus groups, or ethnography to comprehend how people perceive social realities based on how they act and behave (Tuthill et al., 2020).
For example, unstructured interviews can use open-ended questions to collect qualitative data. On the contrary, quantitative data is collected through experiments measuring things. For instance, questionnaires with closed-ended questions or rating scales can yield numerical data or data categorized into ‘yes’ or ‘no’ answers (Elements of Clinical Research Question).
Reference
Tuthill, E. L., Maltby, A. E., DiClemente, K., & Pellowski, J. A. (2020). Longitudinal qualitative methods in health behavior and nursing research: Assumptions, design, analysis and lessons learned. International Journal of Qualitative Methods, 19, 160940692096579. https://doi.org/10.1177/1609406920965799
Reply to Response 3
Good work! Thank you for sharing your discussion, as it was informative on the differences between qualitative and quantitative data. I agree that it is vital to understand the different data collection methods and analyses to read, interpret, and draw conclusions from the obtained data. Qualitative data entail non-numerical data such as observation notes, open-ended survey responses, and interview transcripts that may comprise information on nationalism, behavior, and characteristics of an object or phenomenon. In contrast, quantitative comprises numerical data such as close-ended survey responses that may comprise quantifiable information such as weight, height, or distance. Thus, quantitative data helps to make useful decisions by describing patterns, connections, and relationships in health statistics (Yousefi-Nooraie et al., 2020).
Reference
Yousefi Nooraie, R., Sale, J. E., Marin, A., & Ross, L. E. (2020). Social network analysis: An example of the fusion between quantitative and qualitative methods. Journal of Mixed Methods Research, 14(1), 110-124. https://doi.org/10.1177/1558689818804060