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Measurement of Goldmann applanation tonometer calibration error
Nikhil S Choudhari1, Ronnie George, Mani Baskaran
1Medical Research Foundation, Sankara Nethralaya, Chennai, India. drnkl@snmail.org
A significant number of Goldmann applanation tonometers exhibit calibration errors beyond acceptable limits, impacting accuracy. Regular calibration checks and automated testing are recommended to ensure reliable intraocular pressure measurements.
Area of Science:
- Ophthalmology and Optometry
- Biomedical Engineering
- Medical Device Technology
Background:
- The Goldmann applanation tonometer is a standard instrument for measuring intraocular pressure (IOP).
- Accurate IOP measurement is critical for diagnosing and managing glaucoma and other eye conditions.
- Calibration errors in tonometers can lead to misdiagnosis and inappropriate treatment.
Purpose of the Study:
- To determine the frequency and potential causes of calibration errors in Goldmann applanation tonometers.
- To assess the intraobserver and interobserver agreement in measuring these calibration errors.
- To evaluate the reliability of tonometer calibration over time.
Main Methods:
- Evaluated 132 slit-lamp-mounted Haag-Streit Goldmann tonometers (Model AT 900 C/M).
- Calibration error testing performed using a standard check weight bar at 0, 20, and 60 mmHg.
- Intraobserver and interobserver agreement assessed through repeated measurements by single and multiple observers.
Main Results:
- Only 4% of tonometers met the manufacturer's tolerance (+/-0.5 mmHg) at 20 mmHg.
- 28% of instruments showed errors > +/-2 mmHg at 20 mmHg; 12.12% showed errors > +/-2 mmHg at 0 or 60 mmHg.
- After repair, 20.75% of faulty instruments again exhibited unacceptable errors; good intraobserver and interobserver agreement was noted.
Conclusions:
- A substantial proportion of Goldmann tonometers exhibit clinically unacceptable calibration errors.
- While measurement agreement is good, frequent calibration error testing is necessary.
- Automation of the calibration error check process is recommended for improved reliability.
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