Effectiveness of the Nongmamong Blood Glucose Meter IQC Online Program on the Accuracy of Portable Glucose Meters in Nongmamong District Health Network, Chainat, Thailand
Effectiveness of the Nongmamong Blood Glucose Meter IQC Online Program
Keywords:
Portable blood glucose meter, Internal quality control, Nongmamong IQC Online ProgramAbstract
Internal quality control (IQC) of portable blood glucose meters is critical for ensuring the accuracy of test results, particularly in primary and secondary healthcare settings where personnel diversity may contribute to potential errors. This retrospective descriptive study aimed to evaluate the effectiveness of the Nongmamong Blood Glucose Meter IQC Online Program, a system that records real-time data and performs IQC assessments. Data were collected over three fiscal years (2022–2024) from 12 healthcare facilities in Nongmamong District, Chai Nat Province, Thailand, resulting in a total of 1,214 records. Descriptive and inferential statistics were applied, including Spearman’s Rank Correlation, Mann–Whitney U Test, Kruskal–Wallis H Test, and Linear Regression analyses. The average IQC deviation significantly decreased from 9.01% in 2022 to 5.90% in 2024 (p < 0.001, r = 0.421). Frequency of system usage was positively correlated with lower IQC deviation (rs = 0.366, p = 0.016). Simple linear regression showed that each additional use of the program predicted a 0.044% reduction in IQC deviation (R² = 0.407, p = 0.026), while temporal analysis found a 2.65% lower deviation in the later period compared to the earlier phase (R² = 0.118, p < 0.001). No significant difference was found between the hospitals and primary care units (p = 0.061), but a significant variation was observed among the 12 facilities (H = 94.70, p < 0.001, η² = 0.141). These findings demonstrated that the program effectively reduces IQC deviation and has potential for scalable application across all levels of the healthcare system. However, continual monitoring of other influencing factors such as staff training, equipment maintenance, and supervision is recommended to ensure sustainable quality improvement.
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