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Degenerative Cognitive Disorder

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Degenerative Cognitive Disorder

Submit a paper describing a client, family member, or other individual you know who has a degenerative cognitive disorder. Possible conditions include Vascular dementia, Lewy Body disease, Alzheimer’s disease, Parkinson’s disease, AIDS-related dementia and delirium, among others. Include at least two APA citations from sources that provide information for this paper:

  • Introduce the person with a brief social and medical history. What were the events leading up to the diagnosis? How did the person find out about the condition?
  • Describe the disorder. What are the risk factors for the disorder?
  • How is the condition diagnosed? Include any cognitive assessments, lab tests, or other medical exams.
  • Describe treatment options. These may include psychotherapy, pharmacotherapy, environmental adaptations, nursing interventions, and referrals to support groups.
  • Conclude with an update about the person you chose to discuss. Is this a reversible, treatable condition or an irreversible condition? What was the outcome?
  • You may choose your material from the textbook or from other sources.
  • It is expected that this essay will be 2-3 pages in length (not including the title page), double-spaced. Your paper should include an introduction and conclusion and proper APA citations from any source material you use, including your text.

what statistical tests are being used for data analysis?

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Description:

Reflect on the research articles you have reviewed to date that relate to your clinical question. Please refer to all the unit resources (e.g., readings, recordings, announcements, etc.) to facilitate this process. With these thoughts in mind, post your thoughts on the following:

  1. In the articles you have reviewed, what statistical tests are being used for data analysis?
  2. Are the statistical tests being used appropriately for the type of data being produced and the question being asked?
  3. Do the authors appropriately indicate implications of the data analysis, or do they overstretch?

In the articles that have I reviewed listed below, I need to know what statistical tests are being used for data analysis?

· A key study for my PICOT project is titled “How Accurate are Self-Reports? An Analysis of Self-Reported Healthcare Utilization and Absence When Compared to Administrative Data” (Koerner & Zhang, 2017).  The authors evaluated the data using Pearson’s correlation and multivariate logistic regression models.

·  Correlation is a statistical method used to assess a possible linear association between two continuous variables, while Pearson’s correlation coefficient is a test statistics measuring the statistical relationship, or association, between two continuous variables (Mahan, Clark, Anderson, Koller, & Gates, 2017).. Pearson’s correlation coefficient (r) is a measure of the strength of the association between the two variables; it is the best method of measuring the association between variables of interest because it is based on the method of covariance, and covariance is a measure of the joint variability of two random variables (Koerner et al., 2017). If the data is normally distributed, in other words, bell-shaped, and symmetrical about the mean, tests such as the histogram, and normality tests may be used to evaluate if the distribution is normal (McCrum-Gardner, 2008).

· Are the statistical tests being used appropriately for the type of data being produced and the question being asked?

· The majority of studies may be evaluated with the proper evaluation of over 100 statistical tests to choose from. Tests are chosen depending on the type of research questions being asked, the type of data being analyzed, and the number of data sets or groups being evaluated.

· The first question to be asked is what scale of measurement the data will be, nominal, ordinal, or interval. The study in question involves interval data. The second question is the reason for the analysis; as an example, paired groups or independent groups?

· Yes, the statistical tests are appropriate for the type of data being produced, and for the type of questions being asked.

· Do the authors appropriately indicate implications of the data analysis, or do they overstretch? 

· Based on our readings and videos, I saw no evidence of data-stretching. For example, data was collected over two calendar years, a lengthy, non-selective inclusion period. A potential confounding factor was that all participants had to have been enrolled in the company health insurance program a minimum of 320 days as a condition of inclusion in the study. Another potential confounding factor was that only hourly employees were included in the two-year study. In addition, pregnant employees were excluded from the study, as these employees are atypical of the general employee population in that their healthcare utilization would be temporarily altered. These factors may have influenced the results, by excluding participants with different reporting habits. After recognizing these potential limitations, their findings mirrored multiple studies previously conducted.

· The authors also noted potential improvements for future studies, including inclusion of a more diverse employee population, and examining why there exists a difference in self-reporting based on participant sex.

References

· Koerner, T. K., & Zhang, Y. (2017). Application of linear mixed-effects models in human neuroscience research: A comparison with pearson correlation in two auditory electrophysiology studies. Brain Sciences, 7(3), page 26. doi:http://dx.doi.org.prx-usa.lirn.net/10.3390/brainsci7030026

· Mahan, K.R., Clark, J.A., Anderson, K.D., Koller, N.J., & Gates, B. J. (2017). Development of a tool to identify problems related to medication adherence in home healthcare patients. Home Healthcare Now, 277-82. doi: 10.1097/nhh.0000000000000539

· McCrum-Gardner, E. (2008).  Which is the correct statistical test to use? British Journal of Oral and Maxillofacial Surgery 46 (2008) 38–41

· Short, M., Goetzel, R., Pei, X., Tabrizi, M., Ozminkowski, R., Gibson, T., & … Wilson, M. (2009). How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data. Journal of Occupational & Environmental Medicine, 51(7), 786-796. doi:10.1097/JOM.0b013e3181a86671

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Types of Statistical use

There were six articles retrieved on my PICOT question, (3) were quantitative research, (1) is a mixed method, (2) qualitative research, and (1 )integrative review. The (3) quantitative research were critically appraised and used the following statistical analysis; central standard tendency (mean, median, mode), a probability value to test the significance of results, binomial regression, and binomial distribution, chi-square test, Fisher’s exact test, and measures of standard deviation. Lastly, a study about changing Intensive Care Unit (ICU) culture to reduce CAUTI the research study used statistical process control charts to see the process of improvement in the reduction of catheter-associated infection post-implementation (Maxwell, Murphy and McGettigan, 2018).

Appropriateness of the statistical test 

The purpose or hypothesis of the study is in the introduction of each literature. The research question aims to evaluate the effectiveness of the CAUTI bundle in the pediatric intensive care unit and adult intensive care unit. To provide patient safety, the use of an appropriate statistical tool in research is essential. According to McCrum-Gardner (2007), using the right scale of measurement will convey accurate results in research.  One research study use sample size is 390 (nominal) children ages from 1 month to 18 years old and admitted in the ICU for 48 hours that needed foley catheter insertion. The exclusions are positive urine culture and less than 48 hours of ICU admission. In addition, the Categorial variable is analyzed using X2 or Fisher exact test. The prevalence rate was calculated using the number of disease within the specified time over the population under risk x 100. The research study shows Foley catheter utilization was calculated by dividing the total number of device days by the total number of patient days (Sönmez Düzkaya, Bozkurt, Uysal, and Yakut,2016). Moreover, the three quantitative research use an appropriate tool and results show that daily CAUTI BUNDLE implementation and changing ICU culture regarding the standard practice showed a significant reduction of catheter-associated urinary tract infection in pediatric ICU and adult ICU.

Conclusion

The implication of the research study indicates that prevention of CAUTI with the use of CAUTI bundle checklist and application of process improvement had a significant impact on the decreasing morbidity, mortality and healthcare cost. Also, the length of study allowed the researchers to see a significant, consistent change in the reduction of CAUTI.

References

Maxwell,M.,Murphy, K., and McGettigan, M. (2018)Changing ICU culture to reduce catheter-associated urinary tract infections. Canadian Journal of Infection Control,33 (1) ,39-43 . Retrieved from https://ipac-                   canada.org/photos/custom/pdf/Marcia%20Maxwell_Spring2018.pdf

McCrum-Gardner, E. (2007). Which is the correct statistical test to use?British Journal of Oral and Maxiofacial Surgery, 46, 38-41. Retrieved from https://class.esa.edu/bbcswebdav/institution/USA1/201830/MSN/IPE_7050/readings/McCrumGardner_Which_is the_correct_ statistical_test_to_use_pdf

Sönmez Düzkaya, D., Bozkurt, G., Uysal, G., & Yakut, T. (2016). The effects of bundles  on catheter-associated urinary tract infections in the pediatric intensive care unit.Clinical Nurse Specialist: The Journal For Advanced Nursing Practice, 30(6),341-346. doi:10.1097/NUR.0000000000000246

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Lewin’s Model

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Lewin’s Model

1. Try taking a different route to class the next time it meets. Before you do this, think about how many changes, large and small, you will have to make to do this.

a-Will you have to leave earlier to be in class on time?

b-Will you meet different people on your way to class?

c-See different sights?

d-Would you change your route to class on the day of the final exam?

e-Why or why not? Summarize the positives and negatives of this small change. Relate your responses to this change to the way staff nurses feel when an administrator makes what he or she thinks is a “minor” change.

2. Think about a change that has occurred in your life. Some examples may be a change of role, a move, a marriage, a birth, a divorce, or a death.

a-How did you react to the change?

b-Would you have reacted differently if you had had more information?

c-Using Lewin’s model, describe the basic elements in the situation and how you eventually achieved a comfortable outcome.

Essentials of Nursing Leadership & Management
6th Edition

Sally A. Weiss  MSN, EdD, RN, CNE, ANEFRuth M. Tappen  EdD, RN, FAAN

ISBN-13: 978-0-8036-3663-7

CT 1 Healthcare Information

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CT 1 Healthcare Information

Create a Power Point Presentation that reviews the major events since the 1990s that led to healthcare reform, including the factors that influenced the adoption of health information technologies and information systems.  Include the regulations that were created as a result.

Your presentation should meet the following structural requirements:

  • Be 7-8 slides in length, not including the cover or reference slides.
  • Be formatted according to the APA format.
  • Provide support for your statements with in-text citations from a minimum of four (4) scholarly articles. Two (2) of these sources may be from the class readings, textbook, or lectures, but two (2) must be external.
  • Presentation notes are required for each slide and should be put in the notes section to support the slide content. These can be part of the presentation or delivered as a separate document. If you opt for the former, be aware that the presentation cannot be submitted in PDF format, which does not make notes visible to the instructor.
  • Utilize the following headings to organize the content in your work:

Introduction
Assessment
Recommendations
Conclusion