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DISCUSSION POST # 1 Reesha

The PICOT question I have selected to conduct a systematic review and search of is; The Effect of Culture and Eating Habits on Childhood obesity in the United States. In terms of how I will go about researching the topic, I would find reputable search engines to maintain data that is accurate and official. Then when finding articles and journals that provide evidence on my topic I would make sure the references I picked were neutral and unbiased. I would pull from multiple sources to prove that my research is the most current evidence to support my solutions for my PICOT question. According to an article published by PubMed, the steps in conducting a systematic review are as follows. “Step 1: Framing questions for a review, Step 2: Identifying relevant work, Step 3: Assessing the quality of studies, Step 4: Summarizing the evidence, and Step 5: Interpreting the findings” (Khan, 2003). An important factor to note is that when I am analyzing my research I have to make sure the interpretation of the results is accurate instead of representing the stance I am stating. When pondering on how the research study would be set up for my question I would make sure to use the right study format and variables are used to further ensure my data is accurately reflecting the population. Then after the study has been conducted the next steps following are extracting the data, analyzing the findings, and interpreting the results. This is the same format I would use when it comes to doing a meta-analysis. If I were not to conduct my own personal research. Using these same principles from both I am sure I will find sufficient evidence to link American culture and eating habits that cause childhood obesity. 

DISCUSSION POST # 2 Nozomi

According to Melnyk and Fineout-Overholt (2019), the first step in answering a PICOT question is to gather reliable and accurate evidence. Thus, finding credible sources of evidence and methods to obtain them is crucial in order to answer a PICOT question. There are mainly two sources of information that can be used to answer clinical questions: practice-based evidence (PBE) and research (Melnyk & Fineout-Overholt, 2019). PBE is considered to be internal evidence, and it is usually produced through quality improvement and outcome management projects within the local setting. Although expertise and clinician observation may vary from place to place, an accumulation of small studies can lead to broad research and evidence (Melnyk & Fineout-Overholt, 2019). Unlike PBE, research evidence is obtained through the systematic investigation into a question, and it is considered to be a strong source of knowledge for clinicians (Melnyk & Fineout-Overholt, 2019). Research evidence goes through procedures and reviews in order to make sure that the findings are reliable and accurate.

Research evidence can be obtained through various sources. Two electronic sources that are especially useful are CINAHL and MEDLINE (Polit & Beck, 2018). CINAHL provides information for locating references, and it even provides links to actual research articles as well (Polit & Beck, 2018). MEDLINE is developed by the U.S. National Library of Medicine, and it covers approximately 5600 medical, nursing, and health journals (Polit & Beck, 2018). Another important source is the school and institution library, as well as the health librarians, who may be able to assist in searching for appropriate information.

After identifying research articles, several questions need to be asked in order to appraise the information that is obtained. The clinician should look for substantive themes, or patterns in the evidence collected (Polit & Beck, 2018). Additionally, methodologic themes observe the methods that were used to obtain data, and the strengths and weaknesses of those methods (Polit & Beck, 2018). For instance, participant selection criteria and data analysis methods are both considered to fall under the methodologic category (Baumgart et al., 2021). Finally, the transferability theme asks if the evidence applies differently to various populations and settings (Polit & Beck, 2018).

Another way to appraise research data is to ask about their “credibility (can the findings be trusted?), dependability (is the process logical and transparent?), confirmability (can the findings and interpretations linked to the data?), and transferability (are the findings relevant to other contexts and settings?)” (Baumgart et al., 2021). By observing research data from various angles, one can gain a deeper insight into the reliability of those sources.

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