Table of Contents
Protection of Human Participants
Benefits of participation addressed by the authors included individuals’ understanding of their current health status and access to education about handling individuals’ health in order to prevent attack by diabetes. The key risk addressed by the authors was that participants risked losing a lot of time due to taking part in the study. There were no benefits and risks pertaining to the study that the authors failed to identify as they wanted to ensure that patients were adequately informed. Informed consent was obtained from participants after briefing about the study conducted by the authors. It seemed like the subjects participated in the study voluntarily because they willingly gave their responses to different questions posed by authors. Most of them have been enthusiastic over the course of the study. This was a sign that they voluntarily participated in the study because they were happy about it. Institutional board review approval was obtained from the agency, where the study was conducted in order to ensure that the study went smoothly. According to Katon, Maj, & Sartorius (2011), approval ensured that the study went on without any destructions and obstacles, hence promoting its authenticity in the delivery of required results.
There were major independent and dependent variables identified by the authors. The major independent variable was association between the level of depression among individuals and diabetes, while the major dependent variable identified was diabetes. Data was collected with a help of interviews and practical testing of participants. The author asserted that interviews helped in the process of collection of data pertaining to experiences of individuals in relation to depression. Acton (2012) asserts that the tests identified whether they were diabetic or not in relation to their depression history. Therefore, the author took into account that interviews could help understand individuals before the actual test was conducted to determine their health status in relation to diabetes. This would give proper inferences after the research is finished. The time period for data collection for the study was one month as this allowed every participant to be accommodated in the study. The sequence of data collection involved recording participants' age, sex, their history of depression and testing in order to determine diabetic nature of the individual. This sequence was upheld in order to avert any confusion in the analysis of data after the study.
Data Management and Analysis
Data management methods used in the study included drafting analysis plan, which ensured effective analysis of collected data, creation of a codebook, and establishment of reliable coding. Additionally, the study utilized analysis methods appropriate for reviewing interviews for missing and incomplete data and entering data while validating its accuracy. Yudofsky & Hales (2008) claim that this ensured that confusions and loss of data were averted. The analysis method used in the study included bivariate associations, which indicated correlations between depression and diabetes among participants. The author effectively described how rigor of the process was ensured. The author stated that it was important to maintain a paper trail of critical decisions that were made during the study as this promoted consistency of the study and increased its accuracy. Statistical software that was appropriate to record first-hand data presented by participants was used in order to increase the accuracy of overall analysis. Appropriate software was utilized based on its ability to offer a high level of consistency, hence eliminating reservations and increasing accuracy of the analysis. Two researchers independently analyzed data that was collected from respondents and came up with independent conclusions before a comparison of their analyses was made. This was instrumental because it helped eliminate any form of bias among researchers.
Findings/Interpretation of Findings
The researcher made a conclusion that high levels of depression are likely to lead to diabetes among individuals of both sexes and different ages. Research findings are valid and accurate. I have confidence in these findings because of the quantitative manner in which they were drawn from a reliable research. The main limitation of the study was that it did not put into consideration other causes of diabetes. Some respondents may have developed diabetes due to causes other than depression e.g. high levels of sugar. Findings were presented in a coherent logical manner as all procedures were adequately followed. These findings have implications for the nursing practice because they educate nurses about the effective means of taking care of individuals suffering from depression and diabetes. Suggestions for further studies include topics on combating high levels of depression in the society and discovery of means of effective prevention of diabetes among individuals.