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For the Topic 5, DQ 1 discussion I wrote on the idea of prevention of surgical site infections (SSIs) in the operating room. “Surgical site infections are among the most common healthcare-associated infections and can lead to delayed wound healing, increased use of antibiotics, and increased length of hospital stay, all of which significantly affect patients and add to the rising costs of health care” (Kennedy, 2013). Surgical site infections may be caused by various factors, perioperative staff needs to ensure maintenance of sterile technique preoperatively, intra-operatively, and even postoperative. The Association of Perioperative Nursing (AORN) utilized evidence-based research to create recommendations and stricter protocols for safer surgeries. While peer-reviewed research and qualitative research are both acceptable for to further investigation of the issue of surgical site infections. I believe that quantitative research may work the best. The numbers and statistics can help us to visualize the decline or the rise in the number of SSIs. Quantitative research uses research objectives, questions, or hypothesis to set the study limits in terms of who or what will be studied, what question will be addressed, and what relationship among variables exists? Most data studied in quantitative research is done numerically so that they can be systemically analyzed and interpreted using statistics (DeNisco & Barker, 2016). Our hospital implemented new practice where every admitted patient is required to wipe (especially abdomen) with chlorhexidine wipes upon admission. Every patient undergoing c section will get antibiotics within 60 minutes of skin incision and the dose depends on patients BMI. Scrub Nurse and providers scrubbed for c section perform glove change upon fascia and wound closure. As I mentioned before the SSI incidence was on the rise in 2018, the data for 2019 it shows decline in numbers of SSI on our unit. So, when evaluating this research, we should ask ourselves three important questions: Is the study valid? Is the study reliable? Is the study applicable in the identified case? Avoiding bias or prejudice is very important in a study. This influence over action may distort any findings and a bias the study what make it unacceptable. It is important to identify if the study is valid, free from bias, reliable and consistent (DeNisco & Barker, 2016).