Analytical validation of an ultra low-cost mobile phone microplate reader for infectious disease testing

Clin Chim Acta. 2018 Jul:482:21-26. doi: 10.1016/j.cca.2018.03.013. Epub 2018 Mar 23.

Abstract

Most mobile health (mHealth) diagnostic devices for laboratory tests only analyze one sample at a time, which is not suitable for large volume serology testing, especially in low-resource settings with shortage of health professionals. In this study, we developed an ultra-low-cost clinically-accurate mobile phone microplate reader (mReader), and clinically validated this optical device for 12 infectious disease tests. The mReader optically reads 96 samples on a microplate at one time. 771 de-identified patient samples were tested for 12 serology assays for bacterial/viral infections. The mReader and the clinical instrument blindly read and analyzed all tests in parallel. The analytical accuracy and the diagnostic performance of the mReader were evaluated across the clinical reportable categories by comparison with clinical laboratorial testing results. The mReader exhibited 97.59-99.90% analytical accuracy and <5% coefficient of variation (CV). The positive percent agreement (PPA) in all 12 tests achieved 100%, negative percent agreement (NPA) was higher than 83% except for one test (42.86%), and overall percent agreement (OPA) ranged 89.33-100%. We envision the mReader can benefit underserved areas/populations and low-resource settings in rural clinics/hospitals at a low cost (~$50 USD) with clinical-level analytical quality. It has the potential to improve health access, speed up healthcare delivery, and reduce health disparities and education disparities by providing access to a low-cost spectrophotometer.

Keywords: Analytical validation; Infectious diseases; Microplate reader; Mobile health diagnostic device; Optical device; Serology tests.

Publication types

  • Validation Study

MeSH terms

  • Cell Phone / instrumentation*
  • Communicable Diseases / diagnosis*
  • Costs and Cost Analysis
  • Delivery of Health Care
  • Humans
  • Microarray Analysis / economics
  • Microarray Analysis / instrumentation
  • Microarray Analysis / methods*
  • Rural Population
  • Telemedicine