Email this article 
Hide
Show all
Original Research
Repeatability and reproducibility of Tearlab measurements
African Vision and Eye Health | South African Optometrist: Vol 72, No 1 | a41 |
DOI: https://doi.org/10.4102/aveh.v72i1.41
| © 2013 W. D. H. Gillan
| This work is licensed under CC Attribution 4.0
Submitted: 04 December 2013 | Published: 04 December 2013
Submitted: 04 December 2013 | Published: 04 December 2013
About the author(s)
W. D. H. Gillan, DipOptom MPhil DPhil(RAU) CAS(NewEnCO) FIACLE FAAO, South AfricaFull Text:
PDF (231KB)Abstract
It is well established that the diagnosis of dry eye is difficult. Tear osmolarity is considered by some to be the only metric of dry eye that is repeatable with some claiming that osmolarity is the best diagnostic metric for dry eye. A recently developed system, the Tearlab osmolarity system, is now available that can give a measure of tear
osmolarity in less than 60 seconds. It is important that any new instrument be evaluated for its repeatability and reproducibility. The aim of this study was to investigate the repeatability and reproducibility of the Tearlab system by taking multiple, successive measurements of osmolarity of a manufacturer supplied calibration/test solution. The results of this investigation show
that the Tearlab osmolarity system provides reasonably accurate, repeatable and reproducible measurements of tear osmolarity. (S Afr Optom 2013 72(1) 19-24)
osmolarity in less than 60 seconds. It is important that any new instrument be evaluated for its repeatability and reproducibility. The aim of this study was to investigate the repeatability and reproducibility of the Tearlab system by taking multiple, successive measurements of osmolarity of a manufacturer supplied calibration/test solution. The results of this investigation show
that the Tearlab osmolarity system provides reasonably accurate, repeatable and reproducible measurements of tear osmolarity. (S Afr Optom 2013 72(1) 19-24)
Keywords
Dry eye; tear osmolarity; Tearlab osmolarity; system
Metrics
Total abstract views: 3713Total article views: 3778