Standardized disease-related measures in diabetes research: results from a global consensus process
BackgroundA 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 diab...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1580416/full |
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| author | Meena Daivadanam Kristi Sidney Annerstedt Rajesh Vedanthan Louise Maple-Brown Louise Maple-Brown Gary Parker Maia Ingram Gina Agarwal Josefien van Olmen Josefien van Olmen Renae Kirkham Kirsten Bobrow Francisco Gonzalez-Salazar Fanny Monnet GACD Diabetes Data Standardization Working Group Aravinda Berggreen-Clausen Christina Mavrogianni David Guwatudde Deksha Kapoor Edward Fottrell Elsa Cornejo Jeroen De Man Maria Lazo-Porras Ninha Silva Puhong Zhang Violeta Iotova Xuanchen Tao |
| author_facet | Meena Daivadanam Kristi Sidney Annerstedt Rajesh Vedanthan Louise Maple-Brown Louise Maple-Brown Gary Parker Maia Ingram Gina Agarwal Josefien van Olmen Josefien van Olmen Renae Kirkham Kirsten Bobrow Francisco Gonzalez-Salazar Fanny Monnet GACD Diabetes Data Standardization Working Group Aravinda Berggreen-Clausen Christina Mavrogianni David Guwatudde Deksha Kapoor Edward Fottrell Elsa Cornejo Jeroen De Man Maria Lazo-Porras Ninha Silva Puhong Zhang Violeta Iotova Xuanchen Tao |
| author_sort | Meena Daivadanam |
| collection | DOAJ |
| description | BackgroundA 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.MethodsThe 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.ResultsOut 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.ConclusionThe 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. |
| format | Article |
| id | doaj-art-d09126f53da3425fa577987e19b1fa98 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-d09126f53da3425fa577987e19b1fa982025-08-20T03:35:12ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-07-011310.3389/fpubh.2025.15804161580416Standardized disease-related measures in diabetes research: results from a global consensus processMeena Daivadanam0Kristi Sidney Annerstedt1Rajesh Vedanthan2Louise Maple-Brown3Louise Maple-Brown4Gary Parker5Maia Ingram6Gina Agarwal7Josefien van Olmen8Josefien van Olmen9Renae Kirkham10Kirsten Bobrow11Francisco Gonzalez-Salazar12Fanny Monnet13GACD Diabetes Data Standardization Working GroupAravinda Berggreen-ClausenChristina MavrogianniDavid GuwatuddeDeksha KapoorEdward FottrellElsa CornejoJeroen De ManMaria Lazo-PorrasNinha SilvaPuhong ZhangVioleta IotovaXuanchen TaoGlobal Health and Migration Unit, Department of Women’s and Children’s Health, Uppsala University, Uppsala, SwedenDepartment of Global Public Health, Karolinska Institutet, Stockholm, SwedenDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, United StatesMenzies School of Health Research, Charles Darwin University, Darwin, NT, AustraliaDepartment of Endocrinology, Royal Darwin Hospital, Darwin, NT, AustraliaGlobal Alliance for Chronic Diseases, London, United KingdomMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United StatesDepartment of Family Medicine, McMaster University, Hamilton, ON, CanadaPrimary and Interdisciplinary Care Antwerp (ELIZA), Department of Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium0Department of Family Medicine (DFM) & Centre for Research in Health System Performance (CRiHSP), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia1Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa2Division of Health Sciences, University of Monterrey, Monterrey, Mexico3Center for Population, Family and Health, Department of Sociology, University of Antwerp, Antwerp, BelgiumBackgroundA 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.MethodsThe 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.ResultsOut 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.ConclusionThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1580416/fulltype 2 diabetescross-contextual researchdisease-related measuresstandardizationconsensusimplementation research |
| spellingShingle | Meena Daivadanam Kristi Sidney Annerstedt Rajesh Vedanthan Louise Maple-Brown Louise Maple-Brown Gary Parker Maia Ingram Gina Agarwal Josefien van Olmen Josefien van Olmen Renae Kirkham Kirsten Bobrow Francisco Gonzalez-Salazar Fanny Monnet GACD Diabetes Data Standardization Working Group Aravinda Berggreen-Clausen Christina Mavrogianni David Guwatudde Deksha Kapoor Edward Fottrell Elsa Cornejo Jeroen De Man Maria Lazo-Porras Ninha Silva Puhong Zhang Violeta Iotova Xuanchen Tao Standardized disease-related measures in diabetes research: results from a global consensus process Frontiers in Public Health type 2 diabetes cross-contextual research disease-related measures standardization consensus implementation research |
| title | Standardized disease-related measures in diabetes research: results from a global consensus process |
| title_full | Standardized disease-related measures in diabetes research: results from a global consensus process |
| title_fullStr | Standardized disease-related measures in diabetes research: results from a global consensus process |
| title_full_unstemmed | Standardized disease-related measures in diabetes research: results from a global consensus process |
| title_short | Standardized disease-related measures in diabetes research: results from a global consensus process |
| title_sort | standardized disease related measures in diabetes research results from a global consensus process |
| topic | type 2 diabetes cross-contextual research disease-related measures standardization consensus implementation research |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1580416/full |
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