Comparison of articles – Compare the articles (similarities and differences, themes, methods, conclusions, limitations, controversies). Suggestions for future research: Based on your analysis of the literature, discuss identified gaps and which areas require further research. Conclusion – Provide a summary statement of what you found in the literature. Complete the “APA Writing Checklist” to ensure that your paper adheres to APA style and formatting criteria and general guidelines for academic writing. Include the completed checklist as an appendix at the end of your paper.

Literature Synthesis, Part A

The research articles by Greenwood et al. (2017), Hashmi and Khan (2018), Xu et al. (2018), Yoshida et al. (2018), and Huang et al. (2019) were selected for this review of literature. The research by Greenwood et al. (2017) is a systematic review of the technologies used in promoting self-management and educational support by patients with diabetes. The methodology entailed a review of high quality research articles as well as meta-analyses on the use of technology for self-management and education in diabetes. The articles used in the review were published between 2013 and 2017. The results from 25 articles that were included in the review showed that health information technologies promoted a reduction in the level of A1c post-intervention. The reduction was attributed to improved communication, adherence, feedback, and education (Greenwood et al., 2017). This article supports my PICOT statement by demonstrating that the use of health information technologies can improve the outcomes of care in patients with type 2 diabetes. It shows that the technologies promote positive behavioral change in the patients, hence, better management of the condition.

The research article by Hashmi and Khan (2018) is an interventional study that investigated the use of mobile health in improving adherence to diabetic guidelines in Pakistan. The study used 62 medical officers and trainees who were placed to either intervention or control groups. their knowledge and adherence to guidelines of diabetes management were obtained at the beginning and end of the study to determine the effect of the intervention. The treatment group received regular SMS on the guidelines for five months. The outcomes showed that the use of m-Health technology resulted in significant improvement in knowledge, practice and adherence to guidelines among the participants. Therefore, the authors concluded that the improvement in adherence to the use of technology could also be replicated in patients with diabetes. This article supports my PICOT by showing the effectiveness of health information technologies in improving adherence to treatment in patients with diabetes.

The article by Xu et al. (2018) investigated the use of telemedicine in the treatment of type 1 diabetes. The researchers used veterans with the condition who resided in rural Georgia and Alabama. The methods utilized included retrospective review of patient charts with a focus on the level of hemoglobin A1c. The results from 32 patients who received telehealth care revealed that there was a decrease in the mean level of hemoglobin A1c and variability in glucose. There was also increased adherence among patients (88%) to scheduled appointments and 100% satisfaction with the use of telehealth. Therefore, the authors recommended the use of telehealth in improving adherence and other treatment outcomes in diabetes management. This article supports my PICOT statement by demonstrating the efficacy of health information technology in promoting adherence to treatment in patients with diabetes. It also shows that it improves other metrics of care such as satisfaction with care.

Refer to the “Evidence-Based Practice Project Proposal – As

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