According to 2007 prevalence data, diabetes affects:   5.7% of the US population.

7.8% of the US population.

10% of the US population.

23.6% of the US population.

Algorithms in diabetes management are:   Based on clinical evidence and expert opinion and can be individualized to each patient.

Not effective at reducing costs for labor but may impact pharmacy costs.

Not intended to represent best practice in all regions of the United States.

Representative of a standard of care but cannot be translated into daily clinical practice.

Remote diabetes data monitoring and management can:   Capture real-time blood glucose values and generate trend and pattern analyses.

Capture real-time blood glucose values but cannot capture variations in meals, exercise, medication, weight, or symptoms.

Capture real-time blood glucose values but cannot store them in a format accessible to patients and clinicians.

Upload raw data to a secure database, but cannot generate trend and pattern analyses.

Home telemonitoring for chronic disease has been found to:   Have the potential for empowering patients but not to capture data accurately.

Influence patients attitudes and behaviors but not to have potential for improving their medical condition.

Neither influence patients attitudes nor empower them in disease self-management.

Produce accurate and reliable data and to influence patients’ attitudes and behaviors.

A computer model of the economic impact of remote monitoring on managing type 2 DM projected a cost savings (2004 US$) of:   $16.9 billion over 10 years.

$16.9 billion over 5 years.

$326 billion over 5 years.

$326 million over 10 years.