Real-world smartphone-based point-of-care diagnostics in primary health care to monitor HbA1c levels in people with diabetes
TSB POC for analysis of HbA1c is an acceptable alternative for accessible monitoring of diabetes patients under these conditions. This method could provide access to high-quality diagnostic decisions through regular and cost-effective HbA1c monitoring directly in healthcare facilities, thus providing better access to essential health services.
Authors
- Till Bärnighausen (ORCID: https://orcid.org/0000-0002-4182-4212)
- Till Seuring (ORCID: https://orcid.org/0000-0001-8090-3514)
- Sabrina Rhode (ORCID: https://orcid.org/0000-0002-0304-7977)
- Hizir Sofyan (ORCID: https://orcid.org/0000-0002-0763-5610)
- Jennifer Manne‐Goehler (ORCID: https://orcid.org/0000-0001-9295-0035)
- Lisa Rogge (ORCID: https://orcid.org/0000-0002-0315-756X)
- Hendra Zufry (ORCID: https://orcid.org/0000-0002-0569-4617)
- Sebastián Vollmer (ORCID: https://orcid.org/0000-0002-7863-0462)
- Marthoenis Marthoenis (ORCID: https://orcid.org/0000-0001-7322-2585)
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Universitas Syiah Kuala (ID)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Institute for Integrative and Experimental Genomics (DE)
- Universitas Muhammadiyah Aceh (ID)
- Leibniz University of Applied Sciences (DE)
- Luxembourg Institute of Socio-Economic Research (LU)
- University of Göttingen (DE)
- University of Lübeck (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1038/s43856-025-00743-8
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 5.88
Funders
- Deutsche Forschungsgemeinschaft
- Georg-August-Universität Göttingen
- Universitas Syiah Kuala