Introduction
The analysis of the study’s results is a crucial component of the entire project, which will assess the success of the intervention and identify areas for improvement in medical practice. To analyze the results, statistical methods can be used to assess the change in the desired variables. For PICOT on the effect of exercise on the number of falls, the most likely variable would be fall rates. To assess changes in this variable, it is most effective to use statistical observation, followed by the subsequent grouping of materials.
Statistical Manipulation and Method
The most relevant statistical method for this PICOT would be compiling a percentage for descriptive purposes. For example, a study might present statistics by group, such as patients with a reduced number of falls and patients with an increased or unchanged number of falls. If the study examines the distribution of responses regarding fear of falling or exercise effectiveness, separation can be achieved by grouping opinions into three categories: the situation has improved, worsened, or remained unchanged.
The information obtained can be presented in the form of a chart, which will enable the calculation of the overall level of fall reduction after the intervention. The researcher can also use the primary method of statistical analysis. This mean is obtained by dividing the total by the number of participants. By identifying the mean value, it is possible to determine by what percentage the number of falls has decreased on average after interventions. Both grouping and calculation of totals are appropriate in such a study, as they enable a clear demonstration of the intervention’s success.
Motivating Colleagues
Nurses play a crucial role in collecting and evaluating data on the effectiveness of an intervention. In the studies reviewed, many of the findings relied on data collected by nurses and physicians. Additional data collection can be tedious with a heavy workload for nurses.
For the collected data to be relied upon in the course of research, additional motivation is required. Gathering evidence is a fundamental requirement for nurses to adopt a progressive approach (Melnyk & Fineout-Overholt, 2018). Colleagues should be motivated by a reminder of their duty to patients to provide the highest possible level of care.
The collected data will enable the development of new treatments in the future, ultimately improving the overall health of patients. Reminding the nurses of this important role in the change process will keep them motivated. An additional way to motivate may be to raise awareness of the special role of nurses. When involved in research, nurses can be encouraged to understand the importance and responsibility of their role in the team, not only as medical professionals but also as researchers. Motivation in general should be based on maintaining involvement in the important and extensive process of improving the medical system.
Conclusion
When analyzing the effectiveness of the intervention, statistical methods are employed for data analysis. For PICOT on falls, the method of finding the mean value and compiling a percentage is the most relevant. This approach will provide evidence and visibility of the intervention’s results. Often, nurses are directly involved in the data collection process. This work must be conducted with accuracy and precision, keeping in mind that these data will enable the development of more effective treatment methods in the future.
References
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Appendix
Table 1 – Data Collection Outcomes
