Consensus on Social Determinants of Health Knowledge Topics and Behavior Learning Goals Across Primary Care Residencies: Results of a Delphi Study.

PURPOSE: Social determinants of health (SDH) are a substantial contributor to health outcomes and health inequities across populations. The Accreditation Council for Graduate Medical Education has called for the incorporation of SDH into graduate medical education (GME), yet there is no consensus on what SDH knowledge or skills residents in primary care specialties should have on completion of training. The aim of this study was to develop expert consensus on the most important SDH knowledge topics and behavior learning goals for residents in 4 primary care fields. METHOD: The authors used a modified Delphi technique to develop consensus among experts in internal medicine, pediatrics, family medicine, and obstetrics and gynecology across the United States via a survey administered between February and October 2021. They conducted a literature review on SDH in GME to develop an initial set of topics and learning goals and recruited experts who published about SDH and GME or led an SDH curriculum in GME. Consensus was determined a priori as 80% agreement that a topic or learning goal was very or extremely important. RESULTS: Forty-one experts participated in the first round of the survey and 33 participated in the second round (80% retention). Experts reached consensus on the importance of 22/51 (43%) topics and 18/47 (38%) learning goals. Topics reaching consensus emphasized structural forces, broad domains of SDH, resources for addressing SDH, and advocacy strategies and resources. Learning goals reaching consensus focused on individual- and interpersonal-level behaviors. CONCLUSIONS: To the authors' knowledge, this study represents the first rigorous evaluation of expert consensus on SDH in GME across 4 primary care specialties. The results could inform curriculum development and implementation and program evaluation, residency program goals, and shared GME milestones. Among other things, future studies can assess expert consensus on SDH in GME across nonprimary care specialties.

The Structural Analysis: Incorporating Structurally Competent Clinical Reasoning into Case-Based Presentations.

Structural and social determinants of health account for the health disparities we see along social hierarchies, and their impact has been made more evident by the recent COVID-19 pandemic. There have been increasing calls to incorporate structural competency into medical education. The structural and social context, however, has yet to be fully integrated into everyday clinical practice and little has been published on how to concretely imbed structural competency into clinical reasoning. The authors provide a framework for structural analysis, which incorporates four key steps: (1) developing a prioritized clinical problem list, (2) identifying social and structural root causes for clinical problems, (3) constructing and documenting a prioritized structural problem list, and (4) brainstorming solutions to address structural barriers and social needs. They show how structural analysis can be used to operationalize structural reasoning into everyday inpatient and outpatient clinical assessments.

Remodeling the Vascular Microenvironment of Glioblastoma with α-Particles.

Tumors escape antiangiogenic therapy by activation of proangiogenic signaling pathways. Bevacizumab is approved for the treatment of recurrent glioblastoma, but patients inevitably develop resistance to this angiogenic inhibitor. We previously investigated targeted α-particle therapy with 225Ac-E4G10 as an antivascular approach and showed increased survival and tumor control in a high-grade transgenic orthotopic glioblastoma model. Here, we investigated changes in tumor vascular morphology and functionality caused by 225Ac-E4G10. METHODS: We investigated remodeling of the tumor microenvironment in transgenic Ntva glioblastoma mice using a therapeutic 7.4-kBq dose of 225Ac-E4G10. Immunofluorescence and immunohistochemical analyses imaged morphologic changes in the tumor blood-brain barrier microenvironment. Multicolor flow cytometry quantified the endothelial progenitor cell population in the bone marrow. Diffusion-weighted MR imaged functional changes in the tumor vascular network. RESULTS: The mechanism of drug action is a combination of remodeling of the glioblastoma vascular microenvironment, relief of edema, and depletion of regulatory T and endothelial progenitor cells. The primary remodeling event is the reduction of both endothelial and perivascular cell populations. Tumor-associated edema and necrosis were lessened, resulting in increased perfusion and reduced diffusion. Pharmacologic uptake of dasatinib into tumor was enhanced after α-particle therapy. CONCLUSION: Targeted antivascular α-particle radiation remodels the glioblastoma vascular microenvironment via a multimodal mechanism of action and provides insight into the vascular architecture of platelet-derived growth factor-driven glioblastoma.