Are you suffering from diabetes? If so, then do you know that your diabetes might not act similar to those of other patients? Personalization is the new term trending in the treatment of chronic diseases like diabetes. What works for some other patient might not yield result-oriented progress in your body. The traditional and single algorithm approaches are rigid and are designed considering the generic factors of diabetes. Hence, following a personalized management plan can help a diabetes patient overcome the disease efficiently.
What Does Personalized Care in Diabetes Mean?
The complications of type 2 diabetes are well known. Personalized care in the treatment of this grade of Diabetes involves taking a set of parameters like response to blood glucose regulation agents, disease duration, complications, comorbid conditions, physical health status, et.al. into consideration to yield positive results.
Important Factors for Personalized Care in Diabetes
Glycemic Control History
Poor glucose control happens due to poor adherence, failure in understanding the complications of the disease, delayed use of insulin, etc. When these factors come in picture, it is imperative to manage the cause of poor disease management. Attempting normal A1C while avoiding hypoglycaemia can be the optimal solution in this case.
Age proves to be a major factor when it comes to the treatment of diabetes. Technically, a younger patient will have long exposure to hyperglycaemia and greater risk of complications in comparison to older age patients. Thus, younger patients who don’t have comorbid conditions should be given stringent A1C goals. Late diagnosis in old age people poses the risk of having coexisting conditions, shorter life expectancy and less stringent A1C goals.
Coexisting conditions either decrease life expectancy rate or lead to an increased risk of treatment’s side effects. In diabetes, the occurrence of different medical conditions poses an adverse effect on the nature and degree of the implemented glycemic control strategies. In these cases, targeting less intensive A1C can help decrease the effects of this chronic disease.
Factors like patient’s preferences for treatment, health beliefs, resistance to limitations, etc. play a major role in effective diabetes management. Several studies have proved that diabetes patients often ignore the seriousness of the disease in absence of symptoms. Personalized Health Care takes this factor as well into consideration because not all patients react in a similar way to such chronic diseases.
Diabetes patients are vulnerable to depression as the effects that the disease brings along become unbearable. Stress, taking multiple injections in a day, medications, etc. hamper the quality of life. Hence, it is imperative to screen diabetes patients from their psychological stand point after regular intervals.
Involving these key factors in the treatment of diabetes helps in preventing the constraints of the algorithmic/traditional approach. Doctors/ diabetes practitioners should consider each diabetes patient as a unique case and should provide personalized care to reduce the effects of the chronic disease.