Gaps and opportunities for measuring equity with the Translational Science Benefits Model: Recommendations from the Center for American Indian and Alaska Native Diabetes Translation Research.

Translational research needs to show value through impact on measures that matter to the public, including health and societal benefits. To this end, the Translational Science Benefits Model (TSBM) identified four categories of impact: Clinical, Community, Economic, and Policy. However, TSBM offers limited guidance on how these areas of impact relate to equity.

The Effects of Eliminating Idiomatic American English From High-Stakes Nursing Examinations.

Background: In the United States, English for Speakers of Other Languages (ESOL) health care providers are important to the nursing workforce but often face challenges when taking the NCLEX-RN examination. This study evaluated the effects of removing slang and words with multiple meanings from high-stakes examination questions.

Method: This study used a quantitative, experimental posttest-only control group design and included a convenience sample of 169 nursing students from a college in southern Florida.

Risk of Surgical Overtreatment in cN1 Breast Cancer Patients who Become ypN0 After Neoadjuvant Chemotherapy: SLNB Versus TAD.

Background: Two surgical approaches have emerged for axillary staging in cN1 breast cancer patients after neoadjuvant chemotherapy (NAC): sentinel lymph node biopsy (SLNB) and targeted axillary dissection (TAD). Direct comparisons of technical and oncological outcomes with SLNB versus TAD are lacking.

Methods: We routinely performed SLNB from 2017 to 2018 for cN1 breast cancer patients who converted to cN0 after NAC, then adopted TAD from 2019 to 2022.

Domestic violence in American Indian and Alaska Native populations: a new framework for policy change and addressing the structural determinants of health.

There are 574 federally recognized Tribes in the United States. Tribes have experienced increased rates of domestic violence (DV) due to structural determinants like gender violence, loss of control, discrimination, marginalization, oppression, and political violence. American Indian and Alaska Native girls and women experience the highest rates of DV and abuse in the US, yet policy change, funding, and advocacy has been slow to address high DV rates.