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Population health approach for diabetic patients with poor A1C control
Ted Courtemanche1, Guy Mansueto, Richard Hodach
1Phytel, Inc, 11511 Luna Rd, Ste 600, Dallas, TX 75234, USA.
Background:
Diabetes is frequently monitored as part of quality programs and initiatives. The glycated hemoglobin (A1C) test and corresponding values are often used as quality metrics, and patients with values of 9.0% or above (9+) tend to utilize intensive resources. However, this strategy may be missing more profound opportunities to improve quality.
Objectives:
To analyze A1C outcomes in 2 ways: (1) year over year for patients identified as diabetic and (2) from test to test.
Methods:
This study was conducted using data on more than 23,000 patients identified as having diabetes and included A1C laboratory results extracted from electronic medical records.
Results:
The percentage of patients with poorly controlled diabetes (9+) is increasing annually, but there is sizable turnover within the population- meaning that new uncontrolled patients replace those whose outcomes improve. More than half (57.5%) of patients have their first 9+ score on their first test. And for those with a prior 9+ result, only 16.8% have 3 consecutive 9+ scores after their initial 9+ test. For all patients, the longer the interval between tests, the greater the probability that the next test result will be 9+.
Conclusion:
Instead of focusing resources only on the highly dynamic and relatively small subpopulation of patients with 9+ scores, a better option may be ensuring that all patients get regular testing according to appropriate protocols. This total population-based approach would engage all diabetic patients inside and outside practice walls to optimize provider ability to impact health outcomes.
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