Development and Internal Validation of the Multiethnic Type 2 Diabetes Outcomes Model for the U.S. (DOMUS)

The resulting Diabetes Outcome Model of the U.S. (DOMUS) is a major step forward in understanding diabetes progression and the role of social determinants of health. This model can be used by scientists, policymakers, and health system managers to better understand how choices can affect population health and health disparities, including the broad diversity of U.S. races and ethnicities. Moreover, this model can be used to realize longer-term comparative effectiveness in cost-effectiveness analyses for diabetes management in the future.

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Publication Details

Journal
Diabetes Care
Published
2025-09-25
DOI
https://doi.org/10.2337/dc25-0911
Citations
1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
3.13

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article

Development and Internal Validation of the Multiethnic Type 2 Diabetes Outcomes Model for the U.S. (DOMUS)

Amber Deckard, Monica E. Peek, Neda Laiteerapong, Erin M. Staab et al.
1 citations
Diabetes Care
Health Systems, Economic Evaluations, Quality of Life
3.13
article

Development and Internal Validation of the Multiethnic Type 2 Diabetes Outcomes Model for the U.S. (DOMUS)

Amber Deckard, Monica E. Peek, Neda Laiteerapong, Erin M. Staab, M. Reza Skandari, Jennifer Y. Liu, Wael Mohammed, Andrew John Karter, Donald R. Miller, Elbert S. Huang, Robert Smith, Aaron N. Winn, Howard H. Moffet, Philip Clarke, Zachary Newman, Mengqi Zhu, Jahangir H. Sarker, Anirban Basu, Wen Wan, Melissa I. Franco-Galicia
article en
1 citations

Abstract

The resulting Diabetes Outcome Model of the U.S. (DOMUS) is a major step forward in understanding diabetes progression and the role of social determinants of health. This model can be used by scientists, policymakers, and health system managers to better understand how choices can affect population health and health disparities, including the broad diversity of U.S. races and ethnicities. Moreover, this model can be used to realize longer-term comparative effectiveness in cost-effectiveness analyses for diabetes management in the future.

Diabetes CareVol. 48(11)
Boston University (US), Rush University Medical Center (US), PepsiCo (United Kingdom) (GB), Kaiser Permanente (US), Emory University (US), Illinois College (US), Palo Alto University (US), University of Washington (US), VA Palo Alto Health Care System (US), University of Illinois Chicago (US), University of Oxford (GB), University of Chicago (US), Nuffield Health (GB), NIHR Imperial Biomedical Research Centre (GB), The London College (GB), Imperial College London (GB), Sheffield Hallam University (GB), University of Sheffield (GB)
American Diabetes Association, Novo Nordisk, Chicago Center for Diabetes Translation Research, National Institute on Minority Health and Health Disparities
Openalex Percentile: Top 6%
Health Systems, Economic Evaluations, Quality of Life
3.13
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