Accepted for/Published in: JMIR Formative Research
Date Submitted: Jun 10, 2024
Open Peer Review Period: Jul 9, 2024 - Sep 3, 2024
Date Accepted: Nov 13, 2024
(closed for review but you can still tweet)
Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: A Quasi-Experimental Study
ABSTRACT
Background:
Background:
Visual judgment is susceptible to human errors, such as evaluation item errors and judgment time variations. Automated Urine Test Strip Colorimetric testing may be used by practitioners and small-scale medical check-up facilities to test urine samples.
Objective:
Objective:
We develop an automated urine test strip colorimetric program using images taken with a smartphone camera to judge the color of the urinalysis test strips objectively.
Methods:
Methods:
To verify the program's reliability, we compare urine samples from real patients with the results of an automated urine analyzer.
Results:
Results:
The concordance rate with the automated urine analyzer is 78.6% on average for 12 items. The concordance rate for the ±1 rank test is 95.4%. In addition, determining urinary albumin level results in a sensitivity of 100% and specificity of 58.6%. The area under the curve derived from the ROC curve is 0.907.
Conclusions:
Conclusions:
The results clarified that colorimetric analysis in a fixed imaging environment could be used to determine urine test strips without calibration. This method may be used to screen for microalbuminuria, helping prevent exacerbation of diabetic nephropathy.
Citation
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Copyright
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