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1 Descriptive Statistics SPSS Output Kendra Kendrick Doctor of Nursing Practice, Walden University NURS 8201-10 Research Evidence-Based Practice for the Doctor of Nursing Practice 12/24/2023

2 Descriptive Statistics SPSS Output Introduction The purpose of this paper is crystal clear - to collect data from precisely 100 patients. We won't settle for anything less. We'll be relentless in our pursuit of this goal, leaving no stone unturned in our quest. This is a task that demands discipline, focus, and unwavering dedication. We will not stop until our mission is accomplished, and we are confident we will succeed in our objective. Get ready to witness an unyielding determination that will make this paper a resounding success! Meaningful Data Project The project will investigate the significance of collecting meaningful data in healthcare. Collecting data in healthcare is essential to diagnosis, treatment, and evaluation. The assignment for this week calls for the data collection for 100 patients. The following are the variables that might be recorded: demographic information such as age and gender. Medical history including hypertension, diabetes, and any other comorbidities, clinical measurements such as vital signs, blood glucose level, pain level, and weight, laboratory results such as blood glucose, liver function test, and CBC, symptoms or complaints such as pain level, signs, and indication of illness, and outcomes such as relief of pain or discomfort. To provide the best possible healthcare and clinical care, it is crucial to collect comprehensive data. Without a baseline understanding of a patient's medical history and current condition, healthcare providers cannot make informed decisions and provide the most effective treatments. By gathering thorough and accurate data, we can ensure patients receive the highest quality care and improve health outcomes. As per the research article authored by Salem, M. et al 2022, the process of obtaining vital data is referred to as vital data acquisition. This process involves the sensing, acquiring, processing, and

3 interpretation of measured bio-signals. The ultimate goal of vital data acquisition is to extract vital information (bio-information) from these bio-signals which can be utilized to help in the diagnosis of diseases. Descriptive Analysis Effective clinical workflow requires a crucial component - descriptive analysis. Without it, healthcare professionals would lack the necessary insights into patient data that enable accurate diagnoses, personalized treatment plans, and, ultimately, better outcomes. Therefore, if you want to provide the best possible care to your patients, prioritize descriptive analysis in your clinical workflow. The healthcare industry has been revolutionized with the rapid development of technology. This has led to the emergence of intelligent and autonomous applications in homes, clinics, surgeries, and hospitals. Competent healthcare and technology innovation have opened up new opportunities for providers to improve healthcare services to end-users. For instance, doctors can now diagnose patients remotely, leading to better accuracy and closer patient monitoring to maximize treatment benefits. The way that I would analyze ab evaluate the data collected for the 100 patients would use descriptive statistics using measures of mean, minimum, and maximum. Summary As stated by Gray, J. R., & Grove, S. K. (2020), descriptive analysis is an essential aspect of statistical data analysis that requires careful consideration. It involves using various techniques to precisely portray, concisely summarize and reveal patterns within a dataset. References

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4  Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.  Gholami, S., Mojen, L. K., Rassouli, M., Pahlavanzade, B., & Farahani, A. S. (2020). The predictors of postoperative pain among children based on the theory of unpleasant symptoms: A descriptive-correlational study Links to an external site. . Journal of Pediatric Nursing , 55, 141–146. doi:10.1016/j.pedn.2020.08.006  Huang, J., Qi, H., Lv, K., Chen, X., Zhuang, Y., & Yang, L. (2020). Emergence delirium in elderly patients as a potential predictor of subsequent postoperative delirium: A descriptive correlational study Links to an external site. . Journal of PeriAnesthesia Nursing , 35(5), 478–483. doi:10.1016/j.jopan.2019.11.009  Salem, M., Elkaseer, A., El-Maddah, I. A. M., Youssef, K. Y., Scholz, S. G., & Mohamed, H. K. (2022). Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects. Sensors (14248220) , 22 (17), 6625. https://doi.org/10.3390/s22176625

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