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Rapid Strip Assay (RDT) for Gestational Diabetes Mellitus

From Appropedia
Medical equipment data
Health topic Maternal mortality
Health classification Diagnosis
Project data
Type Diabetes strip test
Authors
Location Washington State, United States
Status
Years
OKH Manifest Download

Problem being addressed

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Gestational diabetes mellitus (GDM) occurs due to uncontrollable levels of blood glucose with onset or first recognition during pregnancy. This can cause several serious health problems for both mother and child, including the predisposition of Type 2 diabetes. The current tests in place to regulate glucose levels often demand fasting and multiple hours to complete, leading to low patient compliance.

Detailed description of the solution

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The Rapid Strip Assay (RDT) is meant to identify a new biomarker, glycated albumin, which can diagnose GDM within several minutes. This allows a cheaper and faster method to determine if pregnant mothers or their babies will develop diabetes. Following the test, patients can be counseled on diet, exercise, further screening, or insulin ingestion based on the test results.

Designed by

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  • Designed by: PATH, University of Washington Laboratory of Medicine
  • Manufacturer location: Seattle, Washington USA, India

When and where it was tested/implemented

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Project from 2011-2013, Seattle, WA USA and India

Funding Source

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Health Innovation Portfolio, The Saving Life at Birth Consortium, Madras Diabetes Research Foundation

References

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Other internally generated reports

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Path. Gestational Diabetes. Retrieved November 13 2013 from here.

Path. (July 2012). Rapid screening test for gestational diabetes. Retrieved November 13 2013 from here.

Externally generated reports

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Saving Lives at Birth. (2011). Strip test for glycated albumin screening. Retrieved November 13 2013 from here.

Page data
Part of Global Health Medical Device Compendium
SDG SDG03 Good health and well-being
Authors
License CC-BY-SA-3.0
Language English (en)
Related 0 subpages, 0 pages link here
Views 76 page views (analytics)
Created November 14, 2013 by Kelly Wojcik
Last edit June 18, 2024 by Felipe Schenone
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