Responses to Other Students: Respond to at least 1 of your fellow classmates with at least a 250-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:
- What did you learn from your classmate’s posting?
- What additional questions do you have after reading the posting?
- What clarification do you need regarding the posting?
- What differences or similarities do you see between your posting and other classmates’ postings?
- PLEASE READ POST
- In all research, various types yield the best results, for not every question can be answered with the same version of research. For example, quantitative research answers phenomena regarding measurable outcomes and goals whereas qualitative research is based on experiences and is exploratory. In research for evidence-based practice, mixed-methods of research require the researcher to be able to integrate both qualitative and quantitative data and apply it to practice (Epidemiol, 2022). When using qualitative and quantitative research together, this can be referred to mixed-method research. Mixed-method research attempts to provide deeper understandings of certain phenomena and aims to yield best practice results. While each type of research is different, both are essential in developing the full picture.PICOT: In adult congestive heart failure patients hospitalized on a telemetry unit at Thompson Peak Medical Center (P), how does a heart failure education bundle program (I) compared to standard heart failure discharge education (C) affect 30-day readmission rates (O) after discharge (T)?In my PICOT question, the use of mixed-method research is essential. One example of quantitative research is the measurable outcome of readmission rates within 30 days after discharge. Data collected on these readmissions such as BNP, weight gained since discharge, and other lab values will also be included in a quantitative data set. When interviewing the patient regarding medication and treatment adherence, this information would be classified as qualitative data. Qualitative data would help us understand how the patients feel about their disease and treatment plan and can hopefully help us develop a better plan for their current care goals. By including mixed-method research, we can view the patient as a whole and not simply a disease to treat. We can better understand cultural differences, variances in education and socioeconomic status, and treat the patient as an individual based on their care goals.In addition to mixed-method research, I would also use randomized controlled trials (RCTs) to conduct my research. RCTs provide some of the highest levels of research in evidence based practice (Sargeant et al., 2022). RCTs based on my PICOT questions would aim to develop a relationship between heart failure readmission rates within 30-days after discharge and standard heart failure education versus discharge with a heart failure education bundle. The target of this study would be to decide if using the heart failure education bundle would decrease readmission rates within 30 days after discharge for patients with heart failure in comparison to standard heart failure education. The hope of this study would be to determine that patients who received the heart failure bundle would have decreased readmission rates to therefore create a new standard of heart failure discharge education.I chose to use RCTs as they help establish a cause-and-effect relationship. By using randomized selection, researchers would avoid bias regarding which patients were selected to receive the heart failure bundle versus discharge standard education. There would also be clear outcomes by measuring readmission rates within 30 days of discharge. Along with the use of quantitative and qualitative research, researchers could develop an extraordinary study about heart failure and preventative ways to prevent exacerbations and readmissions.ReferencesEpidemiol, N. J. (2022). The growing importance of mixed-methods research in health. Nepal Journal of Epidemiology, 12(1). doi: 10.3126/nje.v12i1.43633Sargeant, J. M., Brennan, M. L., & OConnor, A. M. (2022). Levels of evidence, quality assessment, and risk of bias: Evaluating the internal validity of primary research, Frontiers in Veterinary Science, 9(960957). doi: 10.3389/fvets.2022.960957
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