Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources | Zendy

Stephan Jonas | Zendy; Thomas M. Deserno | Zendy; Catalin S. Buhimschi | Zendy; Jennifer D. Makin | Zendy; Michael A. Choma | Zendy; Irina A. Buhimschi | Zendy

Open Access

Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources

Author(s) -

Stephan Jonas,

Thomas M. Deserno,

Catalin S. Buhimschi,

Jennifer D. Makin,

Michael A. Choma,

Irina A. Buhimschi

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv015

Subject(s) - concordance , mhealth , gold standard (test) , computer science , stage (stratigraphy) , medicine , concordance correlation coefficient , preeclampsia , embedded system , statistics , mathematics , pregnancy , biology , paleontology , genetics , psychological intervention , psychiatry

Morbidity and mortality due to preeclampsia in settings with limited resources often results from delayed diagnosis. The Congo Red Dot (CRD) test, a simple modality to assess the presence of misfolded proteins in urine, shows promise as a diagnostic and prognostic tool for preeclampsia. We propose an innovative mobile health (mHealth) solution that enables the quantification of the CRD test as a batch laboratory test, with minimal cost and equipment.

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