The study introduces a standardized procedure and health quality characteristic index for assessing the accuracy and precision of medical measurement systems, such as blood pressure monitors, requiring minimal statistical knowledge.
May aid lab gage assessment via integrated diagram; leaves open prospective validation before diagnostic use.
Measured data variation is crucial in medical measurements as it may affect the diagnosis and hence the treatment. This study introduces a procedure for measurement assessment in medical laboratories. The authors employ different quality measures such as the signal‐to‐noise, discrimination and precision‐to‐tolerance ratios to evaluate a measurement system of different gages. The different quality criteria will be mapped into one quality diagram that informs about the adequacy of a measurement system. A gage repeatability and reproducibility study in conjunction with analysis of variance analysis are employed. The authors also introduce a health quality characteristic index (HQCI) as a standard indicator of health status according to a given health characteristic. The established procedure, diagrams and HQCI guidelines could remarkably chart the accuracy of measurements and the precision of the used gages on blood pressure data conducted in a clinic. The presented guidelines can be potentially valuable for the assessment measurement with minimal statistical knowledge.
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Dalalah et al. (2015) studied this question.
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