Impact of measurement error on predicting population-based inpatient glucose control
George E Saulnier1,1, Janna C Castro1,1, Curtiss B Cook2,2
1Department of Information Technology, Mayo Clinic, Phoenix, AZ 85054, USA.
Aim:
Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control.
Materials & Methods:
A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care blood glucose device data were extracted from the laboratory system. Forecasts were generated from various inpatient subgroups and time intervals.
Results:
ME produced differences in damped trend model during the forecast learning cycle. However, forecast trajectory stayed identical regardless of ME in 85% (119/140) of studied scenarios. Forecasts did not change with greater ME.
Conclusion:
ME inherent in the point-of-care blood glucose device had little effect on trajectory of damped trend exponential forecasts and apparently would not influence decision making in inpatient glycemic control algorithms.
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