Good evening, Dr Culver and classmates,

I chose the second option for the case study to use in this weeks discussion.

A non-experimental, correlational study was conducted about medical adherence amongst cardiovascular patients over a 6-month period of time. The aim of the research was to correlate cultural characteristics with medication fill rates. The data does not have a normal distribution; there are no significant outliers and there is a linear association between the variables.

• Support the use of an appropriate correlational statistical method to measure this data:

I would use Spearmans Rank Correlation. Since Spearmans uses rank outliers are less likely, making Spearmans a good choice (Janse, et al., 2021). Spearmans RHO looks for correlational relationships in the data to see if it is a negative relationship or a positive relationship. In this case, a positive relationship would be that medical adherence goes up as influences increase. A negative relationship would show the opposite, as cultural influences increase, medication adherences decreases. My thought process would be to use a likert scale to rate. Questions, using questions that can be answered strongly agree, agree, neither agree nor disagree, disagree and strongly disagree, with numbers for rankings. The results would be compared to the number of times that persons medications were refilled.

• Analyze the results, sharing your interpretation of correlation outcomes and the use of correlational findings to support a DNP project.

Once the test is run, Id get a coefficient between -1.0 and +1.0 (Denis, 2021). A positive correlation would mean a positive connection between culture and medical adherence. Of course, that would be a negative correlation would be as culture ties go up, adherence goes down. In reviewing the data, any areas of a negative correlation could be used to help identify adherence barriers.

• Do these findings impact your decision about whether to use this evidence to inform practice change?

The results of the findings would impact my decision about using this to inform practice change. If there was a negative correlation between culture and medical adherence, this finding would determine what practice to work on changing. Would there need to be an educational component add to increase adherence? A study completed by Khoja, L et. al., (2025), on cultural barriers with cervical cancer in Arab woman, discovered there were both strong cultural barriers and educational barriers that needed to be overcome.

This study on culture and medical adherence would be a good one to delve into to get an better understanding of why some cultures are more likely to follow their medication regimes then others. This would be the first step in removing the barriers of medication adherence.

Reference

Works Cited

(n.d.).

Denis, D. (2021). Applied Univariate, Bivariate, and Multivariate Statistics Using Python – A Beginner’s Guide to Advanced Data Analysis. (1, Ed.) Hoboken, NJ: John Wiley & Sons. Retrieved from https://ebookcentral-proquest-com.chamberlainuniversity.idm.oclc.org/lib/chamberlain-ebooks/reader.action?docID=6579924&ppg=108&c=RVBVQg

Janse, R., Hoekstra, T., Jager, K., Zoccali, C., Tripepi, G., f, . . . van Diepen, M. (2021, November). Conducting correlation analysis: important limitations and pitfalls. Clinical Kidney Journal , 14(11), 2332-2337. doi:https://doi.org/10.1093/ckj/sfab085

Khoja, L., Zoulfikar, M., Hak, L., Yousif, S., Aljebori, M., Stiffler, M., Tariq, M., Burgard, S., Fleischer, N. L., Wallner, L. P., & Pearce, C. L. (2025). Overcoming Cultural Barriers and Building Healthcare Trust: A Mixed Methods Study on Cervical Cancer Prevention Among Arab American Women Across Major U.S. Cities. Cancers, 17(1), 5. https://doi-org.chamberlainuniversity.idm.oclc.org/10.3390/cancers17010005

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