Diabetes INSIDE: Improving Population HbA1c Testing and Targets in Primary Care With a Quality Initiative

OBJECTIVE To improve outcomes of patients with adult type 2 diabetes by decreasing HbA1c undertesting, reducing the proportion of patients with poor glycemic control, and lowering mean HbA1c levels using a quality improvement (QI) program. RESEARCH DESIGN AND METHODS Six years of outpatient electronic health record (EHR) data were analyzed for care gaps before and 2 years after implementing a QI initiative in an urban academic medical center. QI strategies included 1) individual provider and departmental outcome reports, 2) patient outreach programs to address timely follow-up care, 3) a patient awareness campaign to improve understanding of achieving clinical goals, 4) improving EHR data capture to improve population monitoring, and 5) professional education. RESULTS Analysis (January 2010 to May 2018) of 7,798 patients from Tulane Medical Center (mean age 61 years, 57% female, 62% black, 97% insured) with 136,004 visits showed target improvements. A Cox proportional hazards model controlling for age, sex, race, and HbA1c level showed a statistically significant reduction in HbA1c undertesting >6 months (hazard ratio 1.20 ± 0.07). Statistical process control charts showed 15.5% relative improvement in the patient proportion with HbA1c >9% (75 mmol/mol) from 13% to 11% (P < 10−6) following QI interventions and a 2.1% improvement of population mean HbA1c from 7.4% (57 mmol/mol) to 7.2% (55 mmol/mol) (P < 10−6). CONCLUSIONS Multidisciplinary QI teams using EHR data to design interventions for providers and patients produced statistically significant improvements in both care process and clinical outcome goals.