Health outcomes in @entity6 measured with XXXX quality metrics.

@entity1 @entity6 @entity341 @entity497 @entity1213 @entity165
OBJECTIVE: Our objective was to understand the relationship between optimal diabetes control, as defined by @entity497 ( @entity497 ), and adverse health outcomes including @entity341 ( @entity341 ) visits, hospitalizations, 30-day rehospitalization, @entity1213 ( @entity1213 ) stay, and mortality. @entity1 AND METHODS: In 2009, we conducted a retrospective cohort study of empaneled Employee and @entity497 @entity1 with @entity6 . We followed @entity1 from 1 September 2009 until 30 June 2011 for hospitalization and until 5 January 2014 for mortality. Optimal control of @entity6 was defined as achieving the following three measures: low-density lipoprotein (LDL) @entity165 <100 mg/mL, blood pressure <140/90 mmHg, and hemoglobin A1c <8%. Using the electronic medical record, we assessed hospitalizations, @entity341 visits, @entity1213 stays, 30-day rehospitalizations, and mortality. The chi-square or Wilcoxon rank-sum tests were used to compare those with and without optimal control. We used Cox proportional hazard models to estimate the associations between optimal @entity6 status and each outcome. RESULTS: We identified 5,731 empaneled @entity1 with @entity6 ; 2,842 (49.6%) were in the optimal control category. After adjustment, we observed that non-optimally controlled @entity1 had higher risks for hospitalization (hazard ratio [HR] 1.11; 95% confidence interval [CI] 1.00-1.23), @entity341 visits (HR 1.15; 95% CI 1.06-1.25), and mortality (HR 1.29; 95% CI 1.09-1.53) than @entity6 @entity1 with optimal control. No differences were observed in @entity1213 stay or 30-day rehospitalization. CONCLUSION: @entity6 @entity1 without optimal control had higher risks of adverse health outcomes than those with optimal control. @entity1 with optimal control defined by the @entity497 were associated with decreased morbidity and mortality.
