NURS 8201 Week 6 Discussion Research for Evidence Based Practice Paper

NURS 8201 Week 6 Discussion Research for Evidence Based Practice Paper

NURS 8201 Week 6 Discussion Research for Evidence Based Practice Paper

The selected problem for this discussion is long shifts among the nurses working in the intensive care units. There are a few reasons why long nursing shifts can be a problem in ICU. For one, tired nurses may not be as alert as they need to be, which can lead to mistakes and potentially dangerous situations. Additionally, nurses who work long shifts may not have enough time to eat or rest, which can also lead to problems (Joshua et al., 2021). Again, when nurses are overworked and exhausted, it can be difficult for them to form strong relationships with their patients and provide the care that they need.

BUY A CUSTOM- PAPER HERE ON; NURS 8201 Week 6 Discussion Research for Evidence Based Practice Paper

Nurse fatigue is a significant problem in the ICU and has been identified as a contributing factor to medical errors. A study by the National Institute for Occupational Safety and Health (NIOSH) found that nurses who worked long shifts (12 hours or more) had an increased risk of suffering from fatigue-related injuries (Koy et al., 2020). The American Nurses Association has issued guidelines for shift lengths, recommending no more than 12 hours for a single shift and no more than 36 hours over three days (Alshahrani, 2020). Nurses should also be given time off between shifts to allow for adequate rest. Fatigue can have a negative impact on the nurse’s performance and can lead to mistakes that may harm patients.

Research Question

What is the impact of long shifts on the performance of nurses working in the intensive care units?

Null Hypothesis

There is no correlation between long shifts and the performance of nurses working in the intensive care units. 

Alternative Hypothesis

There is a correlation between long shifts and the performance of nurses working in the intensive care units. 

Dependent and Independent Variable

The dependent variable is nurse performance while the independent variable is long shifts. The independent variable would be measured in a numerical scale. In other words, both the dependent and independent variables would be continuous and normally distributed.

Prediction for the Expected Relationship

A strong relationship/correlation is expected between long shifts and the performance of nurses working in the intensive care units. In other words, a strong and positive correlation is expected between the dependent and independent variables. Nurses working in the intensive care units are frequently required to work long shifts, and this has been shown to have a negative impact on their performance (Gao et al., 2020). Studies have consistently shown that nurses working for long shifts are more likely to make mistakes in patient care, and they are also more likely to suffer from physical and emotional fatigue. This can lead to serious consequences for patients, as well as for the nurses themselves. It is important for hospitals to recognize the risks associated with long shifts, and to take steps to mitigate these risks wherever possible. Shift schedules should be designed in such a way as to ensure that nurses receive adequate breaks and time for rest.

Factors That Might Affect the Outcome of the Study

There are several factors that might impact the outcome of this study including: the environment in which the study is conducted, the design of the study, and how faithfully the study is carried out.

Conclusion

Nurses working in the intensive care units are susceptible to fatigue and long work hours. Nurses who work more than 12 hours are more likely to make errors in patient care. Also, nurses who work overtime are more likely to report feeling tired and stressed. Fatigue can lead to errors in judgment, slowed reaction time, and an increased risk of accidents. Therefore, there is a strong correlation between long shifts and the performance of nurses working in the intensive care units.

References

Alshahrani, H. H. (2020). Evaluating the impact of continuing professional development within intensive care unit nurses in the UK. American Journal of Nursing Research, 8(2), 227-244. http://article.scinursingresearch.com/pdf/AJNR-8-2-12.pdf

Gao, X., Jiang, L., Hu, Y., Li, L., & Hou, L. (2020). Nurses’ experiences regarding shift patterns in isolation wards during the COVID‐19 pandemic in China: A qualitative study. Journal of Clinical Nursing, 29(21-22), 4270-4280. https://doi.org/10.1111/jocn.15464

Joshua, R., Fouad Chehab, R. D., & Salim, N. A. (2021). Impact of work stress during COVID-19 epidemic on job satisfaction and job performance among nurses in critical care units, United Arab Emirates 2020. International Journal of Clinical and Experimental Medicine Research, 5(2), 225-231. Doi: 10.26855/ijcemr.2021.04.018

Koy, V., Yunibhand, J., & Turale, S. (2020). “It is really so exhausting”: Exploring intensive care nurses’ perceptions of 24‐hour long shifts. Journal of Clinical Nursing, 29(17-18), 3506-3515. https://onlinelibrary.wiley.com/doi/abs/10.1111/jocn.15389

ORDER A PLAGIARISM-FREE PAPER HERE ON; NURS 8201 Week 6 Discussion Research for Evidence Based Practice Paper

NURS 8201: Research for Evidence Based Practice
Photo Credit: Getty Images
Week 6: Quantitative Analysis and
Interpretation: Correlations
As a DNP-prepared nurse, patient care will be an integral part of your practice. To meet the needs of
patients, you may find yourself searching to understand the relationship between patient care and
overall health, the association between patient care and clinical research, or the link between patient
care and successful treatment plans. Each of these considerations all revolve around the use of
correlational research.
“Correlational research is conducted to establish the direction and the strength of relationships
between or among variables as they exist in a natural setting” (Gray & Grove, 2020). Through the use
of different methods and designs, correlational research allows the researcher to examine
relationships among variables to garner insight into theory and evidence for practice.
This week, you will explore the relationships and associations of variables in studies that conduct
correlational research. You will also consider the strengths and weaknesses of different correlation
techniques by analyzing data and output for a set of variables.
Learning Objectives
Students will:
Analyze research questions in relation to nursing practice problems
Develop null and alternative hypotheses for a research study
Justify independent and dependent variables to support research studies
Analyze correlations and relationships predicted by statistics between variables in research studies
Interpret output and results using correlation statistics
Learning Resources
Reference: 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
Required Readings (click to expand/reduce)
Discussion: Correlations
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.
Chapter 11, “Quantitative Methodology: Noninterventional Designs and Methods” (pp. 252–
256)
Chapter 23, “Using Statistics to Examine Relationships” (pp. 663–674)
Benton, C. P. (2021). Sexual health attitudes and beliefs among nursing faculty: A correlational
study. Nurse Education Today, 98. doi:10.1016/j.nedt.2020.104665
Rio, L., Tenthorey, C., & Ramelet, A.-S. (2021). Unplanned postdischarge healthcare utilisation,
discharge readiness, and perceived quality of teaching in mothers of neonates hospitalized in a
neonatal intensive care unit: A descriptive and correlational study. Australian Critical Care, 34(1),
9–14. doi:10.1016/j.aucc.2020.07.001
Woo, M.-J., & Kim, D.-H. (2021). Factors associated with secondary traumatic stress among
nurses in regional trauma centers in South Korea: A descriptive correlational study. Journal of
Emergency Nursing, 47(3), 400–411. doi:10.1016/j.jen.2020.08.006
Document: Week 6 Correlations Exercises SPSS Output (PDF)
Document: CITI Program Learner Registration Guide (PDF)
In order to explore relationships among associated variables, a DNP-prepared nurse may utilize
correlational research. This type of research allows for the exploration of connections and measuring
of many variables. While not used to determine causality, this research can be integral in proving
theory. So, when might an issue or topic need to be explored through relationships and associations?
For this Discussion, review the Learning Resources and reflect on a particular topic of interest that
may benefit from a correlational study. Formulate a research question and consider your hypotheses
and prediction. Reflect on the effectiveness of conducting correlational research.
To Prepare:
Review this week’s Learning Resources and focus on the types of research questions that can be
answered using a correlational statistic.
Brainstorm a number of healthcare delivery or nursing practice problems that could be explored
using correlational statistics. Then, select one problem on which to focus for this Discussion.
“Much of the clinical research relevant to nursing explores whether a relationship exists between
two patient characteristics. Understanding potentially related characteristics helps nurses better
identify which physical, psychological, or demographic factors are associated with reason for
concern” (American Nurse, 2011).
Photo Credit: Getty Images
Reference:
American Nurse. (2011). Understanding correlation analysis. https://www.myamericannurse.com/understanding-correlation-analysis/
Formulate a research question to address the problem and that would lead you to employ
correlational statistics.
Develop a null hypothesis and alternate hypotheses.
Ask yourself: What is the expected direction of the relationship?
By Day 3 of Week 6
Post a brief description of the selected problem that you identified for the focus of this Discussion and
include your research question. Be specific. Explain your null hypothesis and alternate hypotheses for
your research question and identify the dependent and independent variables that you would
recommend to best support the research study. Then, explain your prediction for the expected
relationship (positive or negative) between the variables that you identified. Why do you think that sort
of relationship will exist? What other factors might affect the outcome? Be specific and provide
examples.
By Day 6 of Week 6
Read a selection of your colleagues’ responses and respond to at least two of your colleagues on
two different days in one or more of the following ways:
Ask a probing question, substantiated with additional background information, evidence, or
research.
Share an insight from having read your colleagues’ postings, synthesizing the information to
provide new perspectives.
Offer and support an alternative perspective using readings from the classroom or from your own
research in the Walden Library.
Validate an idea with your own experience and additional research.
Suggest an alternative perspective based on additional evidence drawn from readings or after
synthesizing multiple postings.
Expand on your colleagues’ postings by providing additional insights or contrasting perspectives
based on readings and evidence.

Rubric Detail
Select Grid View or List View to change the rubric’s layout.
Excellent
90–100
Good
80–89
Fair
70–79
Poor
0–69
Main Posting:
Response to
the Discussion
question is
reflective with
critical
analysis and
synthesis
representative
of knowledge
gained from
the course
readings for
the module
and current
credible
sources.
40 (40%) – 44
(44%)
Thoroughly
responds to the
Discussion
question(s).
Is reflective
with critical
analysis and
synthesis
representative
of knowledge
gained from
the course
readings for the
module and
current credible
sources.
No less than
75% of post has
exceptional
depth and
breadth.
Supported by
at least three
current credible
sources.
35 (35%) – 39
(39%)
Responds to
most of the
Discussion
question(s).
Is somewhat
reflective with
critical analysis
and synthesis
representative
of knowledge
gained from
the course
readings for the
module.
50% of the post
has exceptional
depth and
breadth.
Supported by
at least three
credible
references.
31 (31%) – 34
(34%)
Responds to
some of the
Discussion
question(s).
One to two
criteria are not
addressed or
are superficially
addressed.
Is somewhat
lacking
reflection and
critical analysis
and synthesis.
Somewhat
represents
knowledge
gained from the
course readings
for the module.
Cited with fewer
than two
credible
references.
0 (0%) – 30 (30%)
Does not
respond to the
Discussion
question(s).
Lacks depth or
superficially
addresses
criteria.
Lacks reflection
and critical
analysis and
synthesis.
Does not
represent
knowledge
gained from the
course readings
for the module.
Contains only
one or no
credible
references.
Name: NURS_8201_Week6_Discussion_Rubric EXIT
Grid View List View
10/5/22, 11:09 AM Rubric Detail – Blackboard Learn
https://class.waldenu.edu/webapps/bbgs-deep-links-BBLEARN/app/course/rubric?course_id=_16998482_1&rubric_id=_3279333_1 2/7
Excellent
90–100
Good
80–89
Fair
70–79
Poor
0–69
Main Posting:
Writing
6 (6%) – 6 (6%)
Written clearly
and concisely.
Contains no
grammatical or
spelling errors.
Adheres to
current APA
manual writing
rules and style.
5 (5%) – 5 (5%)
Written
concisely.
May contain
one to two
grammatical or
spelling errors.
Adheres to
current APA
manual writing
rules and style.
4 (4%) – 4 (4%)
Written
somewhat
concisely.
May contain
more than two
spelling or
grammatical
errors.
Contains some
APA formatting
errors.
0 (0%) – 3 (3%)
Not written
clearly or
concisely.
Contains more
than two
spelling or
grammatical
errors.
Does not
adhere to
current APA
manual writing
rules and style.
Main Posting:
Timely and
full
participation
9 (9%) – 10 (10%)
Meets
requirements
for timely, full,
and active
participation.
Posts main
Discussion by
due date.
8 (8%) – 8 (8%)
Meets
requirements
for full
participation.
Posts main
Discussion by
due date.
7 (7%) – 7 (7%)
Posts main
Discussion by
due date.
0 (0%) – 6 (6%)
Does not meet
requirements
for full
participation.
Does not post
main
Discussion by