Diabetes and Self Care Essay

  • Length: 9 pages
  • Sources: 5
  • Subject: Health (general)
  • Type: Essay
  • Paper: #84021971

Excerpt from Essay :

Problem Statement and Purpose of Study Self-care regimens that require a lot of input are necessary in making the study of diabetes effective. A lot of people with diabetes undergo distress. The diabetes distress is commonly described as the distress that arises from the effect of the diabetes symptoms, regimens for self management, the fear that there would be complications and functionality failure. The diabetes stress stabilizes after some time. It has been found that about a third of all diabetes type 2 patients are prone to diabetes stress regarded as clinically significant. Diabetes distress severely affects adult diabetic patients with a poor diabetes management plan. Such patients stand a high risk of diabetes-related complications. These developments are linked to poor glycemic control and self-management (Leeet al, 2018). The current research seeks to establish whether autonomy support by the health supporters of patients such as the members of their family has a relationship with the glycemic control for 12 months., and if it acts as a buffer in the relationship between high levels of diabetic distress and the glycemic control that follows. The focus of the study is to find out if autonomy support for the management of diabetes by the informal supporters helps to reduce the negative effects of diabetes distress exerted on the control of glycemia (Leeet al, 2018). Hypothesis The hypothesis by the researcher was that when there is higher autonomy support, there will be a lower incidence of HbA1c that happens in tandem with the support model for buffering stress, moderates the connection between the diabetes distress and the levels of HbA1c over the subsequent period of 12 months. We forecasted, in particular, that higher amounts of autonomous support will attenuate the connection between higher distress of diabetes and higher 12-month HbA1c that follows (Leeet al, 2018). Methods and Study Design Each of the linear mixed model was compared when the random intercepts are included and when they are not. There was a better fit for the two models when the random intercepts were incorporated. They all showed a P<0.001). 42.9% and 43.4 % were the figures for the random intercepts for the variance total of HbA1c in the buffering and direct models respectively (Leeet al, 2018). The sample was characterized by descriptive statistics. There was a linear mixed model applied to study the main diabetes distress effects that have been hypothesized. The same has been done for the participants’ autonomy support in the measurements of HbA1c in the period of 12 months. The HbA1c figures were grouped within each of the participants. Readjustment was done to the model to consider their glycemic control previously, use of insulin, ethnicity/race, age and the test done again after incorporating autonomy support, diabetes distress and the interplay between autonomy support and distress (Leeet al, 2018). In the linear mixed models, autonomy support, diabetes distress and each of the variables of control were handled as fixed effects. They were both tested with and without random intercepts to establish the level and control for the likely inter-subject correlation on the recurred measurements of HbA1c in the period of 12 months following the survey. The competing models’ fits were compared by use of a likelihood ratio test, the ?2. The statistical tests had a double tail that came with a ? tuned at 0.05. The 24.0 SPSS version mixed command was used to do the analyses (Leeet al, 2018). A comparison with and without the random intercepts was done for each of the linear mixed models. When the random intercepts were included, they produced a conspicuously better fit for the two models, i.e. P<0.001. The random intercepts in participant variance in HbA1c measures for 12 months after the survey produced 43.4 % and 42.9% of the whole variance in HbA1c in both the both models respectively (Leeet al, 2018). Major Conclusions The clear connection between the autonomy support by a main health support and the measures of glycemic control that follow and seen in the study, currently, is founded on studies from similar observational studies elsewhere. The studies point to a positive relationship between autonomy support from the healthcare givers and with improved glycemic control. In a randomized trial that was computer based, focusing on the perceived autonomy support by patients from their healthcare givers showed better glycemic control compared to the condition of control. When the earlier studies are viewed alongside the current ones, it is inferred that autonomy support has the potential to enhance better self management and glycemic control spanning the various types of relationship (i.e., informal supporter, health care provider) (Leeet al, 2018). The findings presently indicate that autonomy support directed at self management of disease coming from a main supporter guards against the detrimental effect of the glycemic control diabetes distress. Therefore, a greater level of autonomy support from family and friends could improve the ability of patients to deal diabetes distress. The lack of such support may limit their ability deal with the sugar levels of their blood. There is a need for more research to pinpoint the mechanisms that autonomy support rendered by informal health supporters enhances coping that is adaptive with regard to distress related to diabetes (Leeet al,…

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…become central and is an important component in the control and prevention of the disease. The education that focusses on diet modification, enhanced physical exercises, and change in lifestyle was required. Also, weight loss promotion was an important factor. The programs should help people assess the risks of diabetes and should motivate them to seek care and treatment. It should allow for detection of diabetes and treatment of complications and early referral of cases for management and treatment in centers. Even though the importance of the programs in the control and prevention of diabetes is recognized, it is not clear whether the programs are achieving the desired goal in diabetes awareness (Foma et al, 2013). Limitations The study sample consisted of non-Hispanic white male veterans and so it cannot be generalized to a diverse population. It was not possible to compare the characteristics of the respondents. So, it was not easy to assess bias in the responses. From the results, it was clear that the respondents were unlikely to provide consent for using their EMR data, so they were unlikely to be included in the study sample. Also, the study focused on what the patients perceived autonomy support from one health supporter. But diabetic adults are likely to receive multiple diseases related support including support from multiple people from all types of relationships. Note that the findings do not in any way account for support from a broader social network (Lee et al 2018). Thirdly, it is important to note that the participants’ general emotional experience was not assessed. The experience was likely to influence glycemic control. Lastly, the study sample included patients with one or more different risk factors for diabetes. So, it was not possible to assess how the risk factor could affect the level of the patient’s autonomy support and diabetes distress. Autonomy support from health supporters could contribute to better glycemic control. It does this by buffering against diabetes distress negative side effects. Adults with low autonomy support from groups that received family health support were at a greater risk of poor control of their glycemic. It could not help in the setting of high diabetes-related distress. (Preacher, Curran, & Bauer, 2006). The results suggest that increased autonomy support contribute to better glycemic control in individuals with high diabetes distress. Counseling a member of the family was one of the options available for patients experiencing diabetes distress. The counseling could be provided by members using strategies that support autonomy support. It could help to improve glycemic control. Subsequent studies tested whether the increase in support from health supporters could improve…

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