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56     CHAPTER 4 Consequences of SMBG systems inaccuracy




                         Financial outcomes
                         Short term
                         Cost of therapy (e.g., insulin, meter, and strips) and acute complications (e.g., SHE
                         and DKA); the opportunity cost of managing the disease.


                         Long term
                         Quality-adjusted life years (QALYs), cost of managing long-term clinical complica-
                         tions, overall healthcare system costs.


                         Requirements
                         Given the complexity of the task, it is useful to reflect on what the requirements are
                         for a method for assessing the effects of accuracy. It is our position that assessment
                         of the effects of accuracy need to take into account canonical elements of variability
                         in the metabolicebehavioredeviceeenvironment system. Some of these elements
                         include the following:

                         Physiological variability
                         A study should trace the effects of measurement errors across a representative
                         sample of metabolic variability across the population, but also within the patient
                         (e.g., intraday variability of insulin sensitivity). The same meter error may have
                         different effects for two different persons or two different effects for the same person
                         at two different times.
                         Behavioral variability
                         As argued earlier and shown in Ref. [42], accuracy effects can be attenuated or
                         magnified to a large degree by human behavior. Accuracy studies should incorporate
                         sufficient variability for each therapy mode and use case of a meter, for example,
                         MDI versus CSII patients, the meter used for calibration only or also for decision-
                         making.

                         Device and lot variability
                         As shown in Refs. [11,13,14], each device has characteristic meter errors. Errors
                         vary from lot to lot [10,27] and even from device to device. When attempting to
                         analyze a single device, sufficient intradevice variability should be incorporated.
                         Most studies available pool all meter data together and present an aggregate (popu-
                         lation) analysis. Performance variability across meters of the same brand is critical
                         for accuracy risk characterization. When possible, accuracy data from postmarket
                         evaluations should be included, in case manufacturing process variations have
                         effects not present during development [55].
                         Therapy modes
                         Meters are used in multiple therapy modes and use cases. In some cases, as the only
                         source of information, or to confirm measurements obtained by another device
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