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There are limited publications on the effects of benchmarking on quality of care in T2DM.
In addition to investigating the effects of benchmarking, the OPTIMISE study offers an opportunity to obtain comparable data on the quality of primary care received by patients with T2DM in six European countries.
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To assess prospectively the effect of benchmarking on quality of primary care for patients with type 2 diabetes by using three major modifiable cardiovascular risk factors as critical quality indicators.
The OPTIMISE (OPtimal Type 2 dIabetes Management Including benchmarking and Standard trEatment) study was initiated (15) to assess prospectively in a randomized, controlled trial the effect of benchmarking on the quality of primary care for patients with type 2 diabetes and its impact on achieving preset targets.
Furthermore, evidence from RCTs on the effect of benchmarking is virtually non-existent.
CIDs may be estimated based primarily upon effect sizes, supplemented by more traditional anchor-based methods of benchmarking (i.e. direct, cross-sectional or longitudinal approaches).
Be skeptical of benchmarking.
In typical pharmaco-epidemiological studies, HPDS methods result in less biased estimates of treatment effects when benchmarked against those from randomised controlled trials.
Regulators can extend this indicator, but should avoid the perverse effects of biased external benchmarking as the EU Directive entails.
The optimal control objective is to minimize a norm of the control torque subject to a rapidity constraint on the convergence rate of a Lyapunov function, under the effect of a benchmark controller.
We should not underestimate the effects of a broadly accepted benchmark on the entire sector, or industry, especially when finance professionals are involved.
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