The final article had a cluster randomized cross over clinical trial Marik

The final article had a cluster randomized cross over

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The final article had a “cluster-randomized, cross-over clinical trial,” ( Marik, Shankaran, & King, 2020, pg. 265). Mixed method studies have great benefits because you get both quantitative and qualitative data, but the downside is that it can be costly, because there are two studies in one, 4
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RESEARCH CRITIQUE OF QUALITATIVE AND QUANTITATIVE DATA FOR HEALTHCARE ASSOCIATED INFECTIONS (Sahin & Ozturk, 2019, pg. 308). Qualitative research has benefits and limitations as well. “Another arguable limitation is that there is no requirement for theoretical foundations for qualitative descriptive studies. Cluster-randomized studies can be in the same category as a mixed method research design. An “arguable limitation is that there is no requirement for theoretical foundations for qualitative descriptive studies. However, this limitation can be overcome if the researcher stays close to the data as [it] ensures that the participants’ points of views are given precedence, and that a group of researchers rigorously analyses the data, rather than a sole researcher,” (Turale, 2020, pg. 291). Results of Studies The article about champions to help guide new prevention practices and have them performed in a uniform ways findings found that they had several limitations. “Our goal in this study was to understand more deeply the role of champions in the success or failure of practice implementation rather than to generalize findings across all hospital,” (Damschroder et al., 2019, pg. 439). They also found out way to implement change in behaviors to allow new practices to take place within a hospital setting and generated new hypothesis for further studies, (Damschroder et al., 2019, pg. 439). The second article about urinary tract infections had a pretest and a post-test about the knowledge nurses had about urinary catheters and the maintenance required once it is inserted. A paired t-test was done to test for a significant difference in the overall score between the pre- and post-test. Table 4 (right) provides a summary of statistical testing done on the nurses' overall pre- and post-test scores. There was a significant difference (p < .0001) in the overall 5
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RESEARCH CRITIQUE OF QUALITATIVE AND QUANTITATIVE DATA FOR HEALTHCARE ASSOCIATED INFECTIONS pre- and post-test scores, with a mean difference of 6.64 and 95% CI (4.96, 8.33),” (Gesmundo, 2016). The third article about helping reduce the grey areas in why infection prevention measures are not being done in a uniform way, had findings that “indicate that there are numerous individuals who find solutions to the grey areas. The creative and practical solutions of Positive Deviance [individuals that] can often address barriers and difficulties on the care continuum that were raised by the staff,” ( Gesser-Edelsburg et al., 2018, pg. 8). The fourth article was about copper-oxide infused textiles and trying to see if they would reduce the number of healthcare associated infections. Findings showed, “with the institution of aggressive infection control measures beginning in 2015, we noted a
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