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Defining the Population Prone To Diabetes through Upstream Factors

Defining the Population Prone To Diabetes through Upstream Factors

 Diabetes prevalence increased in the last decade all over the world. Defining the factors or causative agents responsible for diabetes prevalence is still debatable but attainable in the long run. When defined, the factors can help in formulating an action plan which would later explain the underlying reason for the prevalence of diabetes. The ever-increasing obesity rates is tied to the increasing diabetes incidences. Personalized medication for diabetes lineups and laboratory bio-markers are presently being advanced to define people susceptible to develop diabetes. After diagnosis these individuals can be examined and advised to change their everyday life (Tiwari, 2015). From a medical perspective, unaffordable medical expenses force majority of the people to take less effective medical programs as alternatives to fight off obesity and unhealthy nutrition. In terms of social conditions and factors of health, societal elements are the circumstances which impact birth, growth, work, lives and age. Increasingly, societal factors are being tied to type 2 diabetes due to the overwhelming evidence indicating that medical interventions have to center on biological and behavioral elements such as indications, nutrition and exercises. Nevertheless, it is vital to address the impact of physical and societal surrounding on low income, job security and literacy levels. Some government policies such as the patient protection policy insist on the collection of more data in order to develop or come up with better and effective ways of defining the population at a higher risk of developing diabetes.  Collection of more data helps medics to develop proactive ways of making referrals and giving the patients the social provision they need to combat diabetes. This way, medical institutions are able to reduce health disparities among diabetic patients. Widening and accommodating more legislations on collection of data and integrating of social amenities would give medics and other health experts an advantage on managing diabetes conditions. Present medical reforms are geared towards providing susceptible people with improved and well-organized medical treatment through affordable medical insurance care (Rewers, & Ludvigsson, 2016). This way, people with a low income can afford some of the diabetes medication prescribed to them. Furthermore, the systematic checkups allow the public to assess their own health and of one finds out that he is at risk of developing diabetes, an informed decision can be made beforehand.

  Recent studies have proved that social causes are directly connected to the development of diabetes among both adult and children populations. Scientific interventions have steadily evolved over time hence leading to better diabetes management especially as the increasing number of medics acknowledge the essence of social aspects in causing diabetes. More so, emerging evidence claims that diabetes brings about mental injury, incontinence and even cancer (Boles et al., 2017). The essence of comprehending diabetes and its comorbidities is to expose the underlying factors which later materialize into diabetes. Therapy which has been tried and tested to reduce primary and secondary diabetes complication have to be modified to fit the needs of the diabetic patient. Lifestyle alterations is one of the most effective ways of averting or suspending the extension of diabetes among the most vulnerable members of the community. Against this background, public hospitals have changed their perspective on diabetes treatment approach as they have increased and intensified the monitoring organizations at national centers.

Identifying Gaps in Diabetes Medical Care

 Tracing patients’ improvement in diabetes medication is important for bettering and evaluating the quality of the medication received. Quality development plans and primary performance gauges are used to better the quality of the diabetes treatment received in order to reduce the gaps found during various treatment (King, & Li, 2016). Considering the intricacies that people with diabetes face, management of diabetes requires a multi-extended tactic. Researches have unveiled that commended goals for diabetes at an acceptable and healthy levels. For the sake of coming up with a solid solution that would ensure all the patients are considered as healthy and capable for making people recover at a faster rate. Additionally, one of the most convenient way of identifying the gaps is coming up with a complete registry which isolates admitted in the health care system from the rest of the population. In this particular context, medical care frameworks can be considered to be medics, a medical plan or a holistic delivery arrangement in a particular region. Registries are generated via diabetes-connected analysis, laboratories tests and prescribed information derived from records. Initial diabetes registries depended heavily on sited information. However the use of electronic data has become more reliable and common in defining the diabetes population all around the world. The capability to retrieve data from a personal level enables medical personnel to discover the quality of the medical care received and how one can improve his or her own medical health.  Diabetes registries are an important aspect of bettering the lives of people and even closing the gaps on mistakes done on previous matters such as lack of adequate medication among the rest.

Limitation to the Present Diabetes Management Approaches and Recommendations

Diabetes medication and outcomes keeps on getting better with time due to improved information systems and better adaptation practices among diabetes populace. However, the key issues center on policies and incentives shaped to influence suitable diabetes medication. The betterment of the diabetes treatment is dependent on the corporation between the patient and the nursing personnel. On one end, the nurse role is to ensure that diabetes patients are given adequate attention and medication so that they can easily recover and improve their lives. Hence, the population care ought to motivate the patients to get better through proper engagement with the medication and health care frameworks. Also addressing patient centered outcomes has to be personalized based on the issues.

 The chronic medication frameworks advices both patients and medics to connect with each other through conversations and solving the challenges faced in due time.

Conclusion

Diabetes population patterns, medical expenses and results has forced health care systems all over the world to put in place measures that will improve patients’ situation. Population health is key in comprehending the measures and interventions formulated to curb diabetes. The best indicators of diabetes are economic, societal and the surrounding in which people live. Consequently, the collaboration between the community and medical care helps to reduce the fatalities associated with diabetes and formulate more alternatives. The combination of efforts from the community-based initiatives and the government has made it possible to design policies based on multiple sectors. In any heath setting standardized diabetes mitigation measures such as ambulatory services have to be considered and measured against other risks such as data management and information systems. The most convenient delivery structures have to be place in order reduce diabetes.

 

 

 

 

 

 

 

References

Tiwari, P. (2015). Recent trends in therapeutic approaches for diabetes management: a comprehensive update. Journal of diabetes research, 2015.

Boles, A., Kandimalla, R., & Reddy, P. H. (2017). Dynamics of diabetes and obesity: epidemiological perspective. Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease, 1863(5), 1026-1036.

King, G. L., Park, K., & Li, Q. (2016). Selective insulin resistance and the development of cardiovascular diseases in diabetes: the 2015 Edwin Bierman Award Lecture. Diabetes, 65(6), 1462-1471.

Rewers, M., & Ludvigsson, J. (2016). Environmental risk factors for type 1 diabetes. The Lancet, 387(10035), 2340-2348.

Afshin, A., Micha, R., Khatibzadeh, S., Fahimi, S., Shi, P., Powles, J., ... & Mozaffarian, D. (2015). The impact of dietary habits and metabolic risk factors on cardiovascular and diabetes mortality in countries of the Middle East and North Africa in 2010: a comparative risk assessment analysis. BMJ open, 5(5), e006385.

 

 

 

1264 Words  4 Pages
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