This report comprises both secondary and primary research on the impact of technology on diabetes. The report begins with an analysis of the primary research on the topic, which makes up the secondary research. The second part of the report is on primary research, assuming two main methodologies: qualitative and quantitative. A conclusion comparing the findings from the secondary and primary research is given, as well as recommendations for best practice and an evaluation.
Secondary research is among the commonly used research approaches used in research. ************** suggests that this shows that the person doing the research carries out research by summarising, collating as well as synthesising the existing research rather than performing a primary study. Secondary data is obtained from various sources such as journals, texts, and reports. This study will thus, involve systematic review of literature applying a meta-analytic method. Past research on the impact of technology on diabetes will be analysed.
This section of the report is on the secondary research performed to establish the impact of technology on diabetes. The researcher uses a meta-analytic statistical method in reviewing what has already been done on the topic. Among the benefits of using this method is as a means of understanding what is already been done in the topic. It is a critical starting point before proceeding with primary research. However, ************* suggests a limitation in the use of secondary research method, in that the researcher is limited to the perspectives of other researchers. This means that the research suffer from biases of other researchers. Nonetheless, ************* identifies this as the important way of obtaining background information in any research project. In the current systematic literature search articles were retrieved from January 2009 to March 2015 using EMBASE, the Cochrane Library, MEDLINE, PubMed, and Psyc INFO databases.
Technology in management of diabetes
Among the areas where research in use of technology in health care has focused on is the application in treatment of various chronic conditions such as diabetes. Diabetes is revealed to be among the most challenging conditions to manage (Wild, et al 2013; Yu, et al 2014). Yu, et al (2014) suggests the reason for the complexity as resulting from the need to manage and control multiple risk factors which might result in further complications. According to Wild, et al (2013), there is an increase in the prevalence of diabetes, with the conventional means of managing it being more and more unsustainable. The solution for this is normally in promoting self-care or self-management by the patient, which past research has showed as a significant strategy for the improvement of patient outcomes and achieving quality of care. In the two studies, there is revealed a need to better and effective methods for self-care and self-management. This is among the areas Yu, et al (2014) to be more likely to benefit from technology. The authors propose use of web-based interventions in bridging the gaps in self-care and self-management in diabetes. Unlike Yu, et al (2014), Wild, et al (2013) in their randomized controlled trial investigated the effectiveness of using telemetric monitoring of glycemic control.
Other researchers have established an increase in the use of technological developments in the