Financial and Clinical Linkages between Diabetes Concurrent Co-Morbid Conditions

Complications of diabetes are correlated if not causal. They link together both clinically and financially. It is estimated that a diabetic patient has 3-4 concurrent co-morbid conditions.

 

It is extremely important for the diabetic and family members to understand and be aware of the major complications of diabetes and how these complications interact with each other. Emphasis by the physician community and diabetic nurse educators are frequently on blood sugar levels and reduction to as normal as possible. Once achieved, there is cause for celebration. However, the complications and their severities many times are not addressed. The blood sugar levels may be under control, but the complications caused by the high blood sugars do not go away. Thus, a conscience effort to have up to date knowledge of the status of the co-morbid conditions is tantamount to living a healthful life. Dr Jeff Tredwell

Clinical Impact of DAPS Health Methodology

Clinical graph

The above graph demonstrates reductions in services utilizing our predictive methodology. The outcomes resulted from concentrating on various concurrent co-morbid conditions found from screening and assessing complications far upstream from the first acute event, rather than being reactive i.e. waiting for the acute event to occur then treating.

FINANCIAL RESULTS of DAPS HEALTH PREDICTIVE HEALTH CARE DELIVERY

The below graphs demonstrate the difference in how health care is delivered utilizing a predictive paradigm of health care delivery as compared to the standard way health care is delivered in the United States today.

 

The above top graph represents a diabetes population health flow of patients as they morph toward the right side of the curve where all the clinical complications and high cost medical episodes occur. These include among others: clinical depression; blindness; heart attacks and strokes; end stage renal disease; diabetic lower extremity disease that leads to foot ulcers; gangrene; which in turn lead to multiple hospitalizations, surgeries, and ultimately amputation; hypertension; high blood sugars.

The top left graph (first figure above) demonstrates where the health care system addresses the complication. The complication is addressed only after acute/emergent episodes are crystallized on the right side of the curve. This watchful waiting benign neglect paradigm causes significant human suffering while concurrently costing the health care system billions of dollars.

The top right hand graph shows that patients within the treated population move out of the acute stage towards the mean. A watchful waiting approach is then practice again until the next acute event. Concurrently, the majority of the remaining population continues to move toward the right side of the curve until the next new acute events occur. The patient suffers this burden of a vicious cycle of repetitive complications, and the trend in medical expense to the health care system continues to rise.

The bottom figure shows how a paradigm shift to prediction, when evaluating an entire population of diagnosed diabetics far upstream from the first acute event, will reduce the acute/emergent concurrent co-morbid conditions. The predictive methodology resulted in not only moving the population toward the mean, but moved the entire population to the left of the mean, thus significantly reducing medical expense. This should be the expected outcome when utilizing a predictive methodology in population health.

DAPS Health Executive Summary:
Articulates clinical and financial outcomes utilizing a predictive vs. reactive diabetes population management approach read more

Problem Solution:
Articulates the Science of Temperature Trending to predict complications of diabetic lower extremity disease far upstream from the first acute event that leads to multiple hospitalizations; surgeries; and amputation read more

Letter of Validity:
Confirms the financial and clinical outcomes utilizing the predictive methodology in major payer diabetic populations read more