Fundamental Nursing Care

Fundamental Nursing Care

Fundamental Nursing Care 150 150 Peter

Fundamental Nursing Care

Deliverables
The deliverable is a Word document with your answers to the questions posed below based on the article you find.

Required Software
Microsoft Word
Internet access to read articles
Steps to Complete Week 3 Lab
Part 1:
Step 1: Your instructor will provide you with a scholarly article. The article will contain at least one graph and/or table. Summarize the article.
(ARTICLE ATTACHED)
Part 2:
Title your paper: ‘Review of [Name of Article]’

State the Author:

Summarize the article in one paragraph:

Post a screen shot of a frequency table and/or graph from the article.

Example:

Frequency Distribution OR Graph
Step 4: Answer the following questions about your table or graph.

What type of study is used in the article (quantitative or qualitative)? Explain how you came to that conclusion.
What type of graph or table did you choose for your lab (bar graph, histogram, stem & leaf plot, etc.)? What characteristics make it this type (you should bring in material that you learned in the course)?
Describe the data displayed in your frequency distribution or graph (consider class size, class width, total frequency, list of frequencies, class consistency, explanatory variables, response variables, shapes of distributions, etc.)
Draw a conclusion about the data from the graph or frequency distribution in context of the article.
How else might this data have been displayed? Discuss pros and cons of 2 other presentation options, such as tables or different graphical displays. Why don’t you think those two graphs were not used in this article?
Give the full APA reference of the article you are using for this lab.

Sample Paper

Review of ‘Fundamental Nursing Care in Patients with the SARS-COV-2 Virus: Results from the ‘COVID-NURSE’ Mixed Methods Survey into Nurses’ Experiences of Missed Care and Barriers to Care’ by Sugg et al.

Sugg et al. (2021) sought to determine nurses’ experiences in providing care for COVID-19 patients. Thus, the article captures the survey results, which queried the respondents’ perceptions of their ability to meet patient needs, barriers to care, and missed care. The study utilized mixed methods, which is evident from the title. Furthermore, the abstract delineates how the researchers analyzed the quantitative and qualitative data.

Figure 1 shows a percentage bar graph from the article, showing the respondents’ perceptions of their ability to meet COVID-19 patient care needs compared to other inpatients. The categories on the x-axis are discrete and non-numerical. Hence, one cannot define properties such as class width, range, etc. Each category has four responses, representing the entire range of possible responses, i.e., ‘worse than,’ ‘same as,’ ‘better than,’ or ‘not involved.’ These care categories form the explanatory variables since they constitute the phenomenon under observation. Meanwhile, the percentage values are the response variables. Since the response variables are the percentages, the cumulative frequencies for each care category are 100%. Lastly, the frequency bar chart does not have a discernible distribution shape since the level of measurement (nominal) does not allow any objective ranking and calculations (Holmes et al., 2017).

From the frequency bar graph, it is evident that most respondents deemed that they provided similar levels of care to both COVID and non-COVID inpatients in most categories. The only outlier was mobility. However, over 20% of caregivers in all care categories felt that they could not match the same standards for COVID patients.

Figure 1: Frequency Bar Graph

The researchers could have used pie charts or stacked bar graphs to represent the same data. Pie charts would be advantageous since they could allow a more vivid view of the relative percentages for the four types of responses. However, the researchers would require a pie chart for each care category. Therefore, an inter-category comparison would be hectic. Stacked bar graphs also enhance the viewing of relative percentages for the subcategories. They are also easy to construct. However, it would be difficult to compare the second, third and fourth subcategories since they would have a non-zero starting point.

References

Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. OpenStax. https://openstax.org/details/books/introductory-business-statistics

Sugg, H. V. R., Russell, A. M., Morgan, L. M., Iles-Smith, H., Richards, D. A., Morley, N., Burnett, S., Cockcroft, E. J., Coon, J. T., Cruickshank, S., Doris, F. E., Hunt, H. A., Kent, M., Logan. P. A., Rafferty. A. M., Shepherd, M. G., Singh, S. J., Tooze, S. J., & Whear, R. (2021). Fundamental Nursing Care in Patients with the SARS-COV-2 Virus: Results from the ‘COVID-NURSE’ Mixed Methods Survey into Nurses’ Experiences of Missed Care and Barriers to Care. BMC Nursing, 20, 215. https://doi.org/10.1186/s12912-021-00746-5