NSG 6101 W8A1 -Nursing Research Methods

NSG 6101 W8A1 -Nursing Research Methods

NSG 6101 W8A1 -Nursing Research Methods

Data Analysis Plan

Descriptive statistics will be used to review data and previous studies of overcrowding in the emergency room (ER).  Descriptive statistics is necessary to describe the measures used (Gilbert & Prion, 2016).  Basic features of the research include measuring length of stay, wait times and patient satisfaction using the Likert scale for measurement.

Using electronic medical records allows wait times and length of stay to be obtained easily and requires no manual data entry.  “The data are already in a database and no data entry is needed” (Gray, Grove, & Sutherland, 2017, p. 528).  Using data from electronic medical records will lessen error.  Metrics will be reviewed for months prior testing variables for flaws in data collection.  An observational study will be done in the months prior to beginning research and manual data will be collected for wait times and length of stay to compare to the data used from the electronic medical record.

This research is exploratory and hypothesis generating by piloting a new front-end process to improve length of stay and wait times in an overcrowded emergency room.  Inferential statistics will be used with non-parametric testing.  Ordinal data with the Likert scale is using when reviewing the Press Ganey score but will be reverted into interval data to compare satisfaction in an overcrowded emergency room (Gray, Grove, & Sutherland, 2017).  Non-parametric inferential statistics will be used because the population is unknown in an ER and length of stay has high risk of skew.  Wilcoxon signed rank test will be used to compare wait times, patient satisfaction and length of stay once the pilot test is complete.

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References

Blom, M., Landin–Olsson, M., Lindsten, M., Jonsson, F., & Ivarsson, K. (2015). Patients presenting at the emergency department with acute abdominal pain are less likely to be admitted to inpatient wards at times of access block: a registry study. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 23, 78. http://doi.org/10.1186/s13049-015-0158-3

Gilbert, G. E., & Prion, S. (2016). Making Sense of Methods and Measurement: Parametric and Nonparametric Data Analysis. Clinical Simulation In Nursing, 12(3), 96-97. doi:10.1016/j.ecns.2015.12.010

Gray, J., Grove, S., & Sutherland, S. (2017). The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence (8 ed.). St. Louis, MO: Elsevier.

Press Ganey.  (2017).  Transforming the Patient Experience.  Retrieved from www.pressganey.com