Daivadanam Meena, Annerstedt Kristi Sidney, Vedanthan Rajesh, Maple-Brown Louise, Parker Gary, Ingram Maia, Agarwal Gina, van Olmen Josefien, Kirkham Renae, Bobrow Kirsten, Gonzalez-Salazar Francisco, Monnet Fanny
Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Front Public Health. 2025 Jul 28;13:1580416. doi: 10.3389/fpubh.2025.1580416. eCollection 2025.
A lack of disease-related consensus measures for type 2 diabetes interventions is a barrier to comparing interventions across various contexts, as well as to implementation and scale-up. This study aimed to use an expert consensus approach to select disease-related measures for type 2 diabetes to facilitate cross-contextual research, as well as the implementation and scaling-up of initiatives.
The study was conducted using a two-phased cross-sectional design consisting of an online survey among research experts in 17 diabetes projects working in a global context, followed by an online modified Delphi panel comprised of reviewers with domain-specific expertise from different income settings who were not survey participants.
Out of 153 measures from 11 domains assessed, 49 were classified as core, 58 as optional, and 46 were excluded. The domains and measures spanned several categories, including demographics, medical history, medication adherence, health behaviors, anthropometric measures, biochemical measures, and quality-of-life-related issues.
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.
缺乏用于2型糖尿病干预措施的疾病相关共识性指标，这阻碍了在不同背景下对干预措施进行比较，也不利于干预措施的实施和推广。本研究旨在采用专家共识法，为2型糖尿病选择疾病相关指标，以促进跨背景研究以及相关举措的实施和推广。
本研究采用两阶段横断面设计，首先对参与全球17个糖尿病项目的研究专家进行在线调查，随后由来自不同收入水平、未参与前期调查的具有特定领域专业知识的评审员组成在线改良德尔菲小组。
在评估的11个领域的153项指标中，49项被列为核心指标，58项为可选指标，46项被排除。这些领域和指标涵盖多个类别，包括人口统计学、病史、药物依从性、健康行为、人体测量指标、生化指标以及生活质量相关问题。
所选的2型糖尿病核心指标数据集可为确定应收集哪些数据提供标准化方法。这有助于在实施项目之间或项目内部进行跨国比较，从而推动全球糖尿病研究。
