The Effectiveness of a Proactive, Three-Level Strategy to Identify People With Prediabetes in a Large Workforce With Employer-Sponsored Health Insurance.

Like Comment
Rates of diagnosis of prediabetes and uptake of the National Diabetes Prevention Program (NDPP) are low. We evaluated a proactive three-level strategy to identify individuals with prediabetes in a population with employer-sponsored health insurance.We studied 64,131 insured employees, dependents, and retirees ≥18 years of age without diagnosed diabetes, 19,397 (30%) of whom were estimated to have prediabetes. Individuals with prediabetes were identified by: 1) searching claims diagnoses and previously performed HbA1c test results; 2) risk-stratifying people 40-64 years of age without diabetes, prediabetes, or documented normal HbA1c to identify individuals at higher risk and encourage them to be tested; and 3) using a media campaign to encourage employees not otherwise targeted to self-screen and, if at higher risk, to be tested.Using claims and laboratory data, 11% of the population was identified as having prediabetes. Of those 40-64 years of age, 25% were identified as being at higher risk, and 27% of them were tested or diagnosed within 1 year. Of employees exposed to the media campaign, 14% were tested or diagnosed within 1 year. Individuals with prediabetes were older, heavier, and more likely to have hypertension and dyslipidemia. Testing and diagnosis were associated with receiving medical care and provider outreach. A total of 8,129 individuals, or 42% of those with prediabetes, were identified.Analysis of existing health insurance data facilitated the identification of individuals with prediabetes. Better identification of people with prediabetes is a first step in increasing uptake of the NDPP.


View the full article @ Diabetes care


Get PDF with LibKey
Authors: William H Herman, Kevin Joiner, Thomas Hurst, Laura N McEwen

ClinOwl

The wider, wiser view for healthcare professionals. ClinOwl signposts the latest clinical content from over 100 leading medical journals.
6577 Contributions
2 Followers
0 Following