Partnering with Communities to Improve Diabetic Foot Ulcer Care in High-Risk Populations.

Published: 04/16/2026

Authors: Gauvin N, Wayne B, Mathew-Steiner SS, Jones TLZ, Pop-Busui R, Spino C, Maturo F, Schmidt BM, Holmes C, Sen CK, Semere W

Abstract

Diabetic foot ulcers (DFUs) remain one of the most devastating complications of diabetes, accounting for over 80% of nontraumatic amputations and contributing to a 5-year mortality rate exceeding 30%. Despite significant clinical advances, profound disparities persist. Racial and ethnic minoritized populations, rural communities, and people with low socioeconomic resources experience disproportionate rates of severe ulceration, infection, delayed healing, and amputation.

Traditional research approaches, often developed in academic settings without community input, have insufficiently addressed the contextual, cultural, and structural factors shaping DFU risk and outcomes.

Community-engaged research (CEnR) offers a promising pathway to address these inequities; yet, DFU-specific evidence remains limited and heterogeneous. In response, the Diabetic Foot Consortium (DFC), a national research network funded by the National Institute of Diabetes and Digestive and Kidney Diseases, has initiated multisite efforts to embed community advisory boards, faith-based partnerships, mobile outreach, and culturally aligned engagement into DFU research.

We propose the DFC-CEnR Model, a conceptual framework for integrating community-engaged approaches to DFU prevention, early detection, treatment, and research participation. The model distinguishes CEnR from related approaches (community-based participatory research, patient and public involvement, cultural humility, and equity-focused system interventions), outlining hypothesized mechanisms and evaluation domains. Illustrative consortium examples demonstrate how engagement domains may be operationalized and inform future testing of validated outcome measures.

This article positions community engagement as a hypothesis-generating strategy that requires rigorous empirical testing to determine its impact on DFU outcomes and disparities.

PMID: 41986240