NUR 550 Benchmark – evidence-based practice project: picot Essay

NUR 550 Benchmark – evidence-based practice project: picot Essay

NUR 550 Benchmark – evidence-based practice project: picot Essay

Statistical tests denote mathematical tools used to analyze quantitative data emanating from a research study. There are a host of tests that researchers can deploy and choosing an appropriate statistical test assists in determining the most important aspect of a study and organizing data appropriate. Statistical analysis helps researchers have a better understanding of findings (Mishra et al., 2019). In this case, the statistical tool that I will deploy is the T-test which is an inferential statistical model that assesses if a significant different exists between the means of two variables that may have a relationship based on certain features or characteristics (Crawford et al., 2020). For instance, based on my PICOT question on adult patients with chronic diseases and the effects of implementing case management aimed at reducing of length of stay, emergency visits and readmissions within six to twelve months.

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Researchers can use independent variables and other aspects of project design to choose the right statistical tool. The use of T-test would allow the comparison of the intervention as opposed to traditional care planning where providers do not offer case management to ascertain the process of each individual patient based on their underlying conditions, especially when they are suffering from chronic conditions (Kim & Park, 2019). Comparison of two variables should lead to a conclusion that case management based on the unique features of individual patients can reduce the length of stay and chances of readmissions upon discharge for individuals with chronic conditions. The outcomes of this evidence-based practice (EBP) intervention are important and testing the ability to attain expected results is essential in developing critical aspects of care for nurses and other care providers.

References

Crawford, C. L., Rondinelli, J., Zuniga, S., Valdez, R. M., Cullen, L., Hanrahan, K., & Titler, M.

128. (2020). Testing of the nursing evidence‐based practice survey. Worldviews on Evidence‐Based Nursing, 17(2), 118-128. DOI: 10.1111/wvn.12432

Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and

            sample size. Korean journal of anesthesiology, 72(4), 331-335.

DOI: 10.4097/kja.d.18.00292.

Mishra, P., Singh, U., Pandey, C. M., Mishra, P., & Pandey, G. (2019). Application of student’s

            t-test, analysis of variance, and covariance. Annals of cardiac anesthesia, 22(4), 407.

DOI: 10.4103/aca.ACA_94_19

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PICOT Final
Name___Mary Nhar-DaSilva_______________

Complete your PICOT using your approved proposed nursing practice problem. If they were approved, you may use the population and intervention developed in your Topic 1 assignment. Include any necessary revisions in this submission. Refer to the “Example PICOT” below as needed for guidance on how to complete the PICOT.
PICOT Question
P Population Adults with chronic diseases who frequently use the emergency department or have frequent inpatient admissions
I Intervention Implement Case Management (CM) program
C Comparison Traditional discharge from hospital
O Outcome Reduced length of stay, emergency visits, and hospital admissions
T Timeframe 6-12 months
PICOT
Create a complete PICOT statement. In adult patients with chronic diseases (P) does the implementation of case management (CM) (I) in comparison to traditional discharge planning (C) help reduce length of stay, emergency visits, and readmissions (O) over the course of 6-12 months (T)?
Problem Statement
Create a problem statement for your PICOT. You will use this problem statement throughout your final written paper.
According to the World Health Organization (WHO) 38 million people worldwide die of chronic illnesses. Chronic illnesses make up 7 of the top ten causes of death in the world (Joo & Huber, 2019). They are linked with high rates of hospital utilization such as emergency department (ED) visits or unplanned admissions. The ED is currently overcrowded with lengthy wait times related to disproportionately rise in number of visits. Patients with chronic illnesses frequent the ED inappropriately with nonemergent needs (Di Mauro, Di Silvio, Bosco, Laqunita, & Galazzi, 2019). Could the implementation of case management (CM) programs be the solution to this problem? Hospitals and physician groups increasingly view CM as a vital field for investment and as a tactical approach for succeeding in a value-based environment (Marcotte & Liao, 2020). The inpatient CM creates a service provider-customer relationship between the CM and the patient. To be effective, inpatients requiring post-acute services work closely with the CM throughout their entire admission to construct and plan for a safe discharge. Family members involved in care for the patients are included. The face-to-face interaction between CM and patients is vital in the trust and relationship building component of CM services (Perera & Dabney, 2020). Some post acute services for patients with chronic illnesses include home care, durable medical equipment, care coordination, or even rehabilitation facilities. These services are placed according to the patients’ needs in efforts to reduce ED visits and unplanned hospitalizations. With a safe discharge and added support services, patients with chronic illnesses have the competence to better self manage their chronic illness symtpoms at home prior to seeking hospitalized care. This results in less cost for both patients and the hospitals.

References
Di Mauro, R., Di Silvio, V., Bosco, P., Laquintana, D., & Galazzi, A. (2019). Case management programs in emergency department to reduce frequent user visits: a systematic review. Acta bio-medica : Atenei Parmensis, 90(6-S), 34–40. https://doi.org/10.23750/abm.v90i6-S.8390
Joo, J. Y., & Huber, D. L. (2019). Case Management Effectiveness on Health Care Utilization Outcomes: A Systematic Review of Reviews. Western journal of nursing research, 41(1), 111–133. https://doi.org/10.1177/0193945918762135
Marcotte, L. M., & Liao, J. M. (2020). What we talk about when we talk about care management. The American journal of managed care, 26(6), 245–247. https://doi.org/10.37765/ajmc.2020.43486
Perera, S., & Dabney, B. W. (2020). Case management service quality and patient-centered care. Journal of health organization and management, ahead-of-print(ahead-of-print), 10.1108/JHOM-12-2019-0347. https://doi.org/10.1108/JHOM-12-2019-0347