Herman WH, Joiner K, Hurst T, McEwen LN. The Effectiveness of a Proactive, Three-Level Strategy to Identify People With Prediabetes in a Large Workforce With Employer-Sponsored Health Insurance.
Diabetes Care 2021;
44:1532-1539. [PMID:
34016617 PMCID:
PMC8323177 DOI:
10.2337/dc20-3112]
[Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/05/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE
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.
RESEARCH DESIGN AND METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
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