NURS 8200 Critically analyze each article, including the items noted above

NURS 8200 Discussion: Statistical Analyses in Nursing

NURS 8200 Critically analyze each article, including the items noted above

Purpose and Goals of the Research Studies

 In Article #1, the goal of the research study is to take a conjoint analysis of a patient in the emergency department who has an intellectual disability (ID) that comes in for complaints of a dental abscess and test the feasibility of this analysis by studying the proxy decision-making process among the Ed nurses. The goal is to determine the factors that influence the nurse’s decision as they determine the decision-making process as they care for this patient and determine the health care outcomes.  In Article #2, the purpose and goals of this study are to complete a pilot testing of guidelines for the laboratory monitoring of high-risk medications in the ambulatory setting by utilizing a safety intervention trial (Tjia et al., 2010). This trial uses a large multispecialty group practice. The goal is to improve the lab monitoring process and the infrequently prescribed medications through the determined recommendations to enhance the safety of the patient population.

Nonparametric Tests Methods Utilized in These Studies

 In Article #1, the researcher utilized contingency tables chi-square and Fisher’s exact test as the nonparametric tests to explain the

NURS 8200 Critically analyze each article, including the items noted above
NURS 8200 Critically analyze each article, including the items noted above

decision-making patterns associated with the nurses’ characteristics (Fisher et al., 2010).  Utilizing these methods, the researchers determined that the nurses were highly consistent in their rankings. 39% focused on the factor of future health status; 19% family input; 13% person’s age; 12% extra costs to agency; And 10% functional status; And 6% mental competence.  In Article #2, the study utilized the nonparametric test by identifying the trends and the higher frequency dispensed medications of having a higher prevalence of test completion and the infrequently dispense medications resulting in a lower prevalence of test completion.

Strengths and Weaknesses of Both Articles

 In the first article, one strength of this study was the study design. Utilizing the multivariate statistical method in this study was appropriate as this method assisted w/ studying the proxy decision making and predicting the outcomes. One weakness in this article is the sample size.  It was insufficient in completing a meaningful explanation of the observed decision-making pattern (Fisher et al., 2010).  In the second article, the strength of this study was the utilization of the nonparametric test method and the safety intervention trial study design and yielded findings that primary care providers can utilize in real-time and improve patient outcomes.  

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Why are Parametric Methods (t-test and ANOVA) Inappropriate for this statistical analysis?

 The samples of data in a parametric test method such as in a t-test or ANOVA are usually already known or can quickly identify the distribution of such studies (Polit, 2010).  In the chi-squared used in the first article, the researcher is making an inference about the decision-making factors of ED nurses and managers caring for patients w/ ID and what influences their decision making.  The data isn’t known in the second article either. The researcher utilizes the study intervention trial in the second article to determine the areas of opportunities that resulted in the infrequently used medications. 

How are The Findings and Recommendations of These Studies Contribute to EBP in the Field?

 The findings in both studies give insight to providers on opportunities to improve patient outcomes, whether in the ED or multispecialty practice.  As a former case manager in the ED, this study provided other means of determining the decision-making process with patients with ID and any other cognitive deficit.  In practice, ensuring the necessary monitoring with infrequently used medications will positively affect the patients and the dynamics in the practice that is operated.


Fisher, K., Orkin, F., & Frazer, C. (2010).  Utilizing conjoint analysis to explicate health care decision making by emergency department nurses:  a feasibility study.  Applied Nursing Research.  23(1): 30-35.


Tjia, J., Field, T.S., Garber, L.D., Donovan, J.L., Kanaan, A.O., Raebel, S.H., & Gurmitz, J.H. (2010).  Development and pilot testing of guidelines to monitor high-risk medications in the ambulatory setting.  The American Journal of Managed Care. 16(7): 489-496

 Polit, D.F. (2010).  Statistics and data analysis for nursing research (2nd ed.).  Upper Saddle River, NJ:  Pearson Education Inc.