Standardized disease-related measures in diabetes research: results from a global consensus process.
The core dataset of selected measures in type 2 diabetes may provide a standardized approach for determining which data should be collected. This can facilitate transnational comparisons between or within implementation projects to advance global diabetes research.
Authors
- Renae Kirkham (ORCID: https://orcid.org/0000-0002-4993-6585)
- Rajesh Vedanthan (ORCID: https://orcid.org/0000-0001-7138-2382)
- Fanny Monnet (ORCID: https://orcid.org/0000-0002-4983-9486)
- Kristi Sidney Annerstedt (ORCID: https://orcid.org/0000-0002-8798-4027)
- Francisco González‐Salazar (ORCID: https://orcid.org/0000-0003-2832-4771)
- Gina Agarwal (ORCID: https://orcid.org/0000-0002-5691-4675)
- Josefien van Olmen (ORCID: https://orcid.org/0000-0001-9724-1887)
- Kirsten Bobrow (ORCID: https://orcid.org/0000-0002-2452-2482)
- Maia Ingram (ORCID: https://orcid.org/0000-0002-6517-7697)
- Louise Maple‐Brown (ORCID: https://orcid.org/0000-0002-9067-2737)
- Meena Daivadanam (ORCID: https://orcid.org/0000-0002-9532-6059)
- Gary Parker
Institutions
- Uppsala University (SE)
- University of Arizona (US)
- University of Antwerp (BE)
- University of Cape Town (ZA)
- Karolinska Institutet (SE)
- Charles Darwin University (AU)
- Menzies School of Health Research (AU)
- Royal Darwin Hospital (AU)
- National University Health System (SG)
- New York University (US)
- University of Monterrey (MX)
- McMaster University (CA)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3389/fpubh.2025.1580416
- Primary Topic
- Delphi Technique in Research
- Type
- article