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Improved Cardiovascular Risk Factors Control Associated with a Large-Scale Population Management Program Among Diabetes Patients

      Abstract

      Background

      Optimal cardiovascular risk factors control among individuals with diabetes remains a challenge. We evaluated changes in glucose, lipid, and blood pressure control among diabetes patients after implementation of a large-scale population management program, known as Preventing Heart Attacks and Strokes Everyday, at Kaiser Permanente Northern California (KPNC), during 2004-2013.

      Methods

      We used National Committee for Quality Assurance Healthcare Effectiveness Data and Information Set cut points to identify prevalence of poor glycemic (hemoglobin A1c > 9%) control, good lipid control (low-density lipoprotein cholesterol < 100 mg/dL), and good blood pressure control (blood pressure < 140/90 mm Hg) in each year (N range = 98,345 to 122,177 over the entire period). We assessed trends in risk factor control based on Joinpoint regression and average annual percentage change (AAPC) compared with published National Committee for Quality Assurance Healthcare Effectiveness Data and Information Set commercial rates.

      Results

      We found that the prevalence of poor glycemic control (hemoglobin A1c > 9%) declined in both KPNC and nationally, but was statistically significant only in KPNC (AAPC = −4.8; P < .05). The prevalence of good lipid control (low-density lipoprotein cholesterol < 100 mg/dL) increased significantly in KPNC (47% to 71%; AAPC = +4.3; P < .05), but there was no significant improvement nationally (40% to 44%; AAPC = +1.4; P = .2). The prevalence of blood pressure control (<140/90 mm Hg) was higher in KPNC (77% to 82%; AAPC = +1.1; P < .05) versus nationally (57% to 62%; AAPC = +1.9; P < .05) during the reported years 2007-2013.

      Conclusions

      Relative to national benchmarks, a substantially greater improvement in risk factor control among adults with diabetes was observed after implementation of a comprehensive population management program.

      Keywords

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