Stroke & Cerebrovascular Diseases,
Stroke & Cerebrovascular Diseases,
The second study is similar to the first in that it evaluated patients with acute ischemic stroke for the prevalence of sleep apnea and compared the functional outcomes of patients with and without sleep apnea at the 3rd month after an acute ischemic stroke (Nair et al., 2019). The type of question being asked is an etiology in that it looks to see if OSA is a risk factor for stroke. The design of the study is under the methodology section and is listed as a prospective observational study. This type of study is also known as a cohort design and as stated by Polit & Beck (2017), it is the strongest design for etiology questions when randomization is impossible. This method study is appropriate in that no manipulation was done to the independent variable (stroke). Randomization would not be appropriate for this particular study as the only treatment option would be the use of Continuous Positive Airway Pressure (CPAP) and the use of such treatment was not evaluated.
Questionnaires such as the sleep disordered Questionnaire, Berlin Questionnaire, and Epworth sleepiness scale were used to diagnose sleep apnea in the patients being evaluated and the results divided the group into those who had sleep apnea and those who did not. The two groups were then compared using Barthel scores at baseline and at 3 months. Using repeated measure of ANOVA, the results showed a significant difference with an improved functional gain in patients in the no sleep apnea group demonstrating that sleep apnea is associated with an increased risk of ischemic stroke and poor functional outcome (Nair et al., 2019).
Conclusion
For researchers, understanding which design method to use when creating a research study can be a great asset to promoting the change that they wish to bring about. Utilizing the wrong research design may diminish the quality of the results and may create doubt about the study overall. Understanding that quantitative studies aim to explain cause-and-effect relationships will help to guide the researcher to design their research to demonstrate causality and bring attention to the problem that they are determined to address (Polit & Beck, 2017).
References
Boulos, M. I., Elias, S., Wan, A., Im, J., Frankul, F., Atalla, M., … Murray, B. J. (2017).
Unattended Hospital and Home Sleep Apnea Testing Following Cerebrovascular Events. Journal of Stroke & Cerebrovascular Diseases, 26(1), 143–149. https://doi-org.ezp.waldenulibrary.org/10.1016/j.jstrokecerebrovasdis.2016.09.001
Nair, R., Radhakrishnan, K., Chatterjee, A., Gorthi, S. P., & Prabhu, V. A. (2019). Sleep
Apnea-Predictor of Functional Outcome in Acute Ischemic Stroke. Journal of Stroke & Cerebrovascular Diseases, 28(3), 807–814. https://doi-org.ezp.waldenulibrary.org/10.1016/j.jstrokecerebrovasdis.2018.11.030
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for
nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.
