Role out of Network of Black Male Nursing Leaders Mentorship Program.

Despite nursing being the largest segment in all of the healthcare workforce, with over five million practicing registered nurses in the United States, Black males remain significantly underrepresented, comprising merely about 0.67% to 1% of the nursing workforce. This underrepresentation extends into leadership positions, where the number of Black male leaders in nursing is described as unquantifiable.

State of Black men in nursing: An oral history of the challenges and the benefits of five Black male nurse leaders.

The underrepresentation of Black men in nursing continues to pose a significant challenge to diversity and equity in healthcare leadership. While systemic barriers, such as implicit bias, limited access to advanced education, and lack of mentorship, have been well-documented, there is little literature that highlights the specific journeys of Black male nurse leaders and the strategies that facilitated their success. This oral history presents the narratives of five Black male nurse leaders who overcame obstacles and rose to influential positions within nursing.

A roadmap for the nursing scientific workforce to eliminate health and healthcare inequities.

Background: The National Academies of Sciences, Engineering, and Medicine's Ending Unequal Treatment report emphasizes immediate actions to eliminate health inequities (i.e., solutions-oriented health inequity research), versus incrementally advancing health equity.

Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare.

Background: The concept of health equity by design encompasses a multifaceted approach that integrates actions aimed at eliminating biased, unjust, and correctable differences among groups of people as a fundamental element in the design of algorithms. As algorithmic tools are increasingly integrated into clinical practice at multiple levels, nurses are uniquely positioned to address challenges posed by the historical marginalization of minority groups and its intersections with the use of "big data" in healthcare settings; however, a coherent framework is needed to ensure that nurses receive appropriate training in these domains and are equipped to act effectively.

Purpose: We introduce the Bias Elimination for Fair AI in Healthcare (BE FAIR) framework, a comprehensive strategic approach that incorporates principles of health equity by design, for nurses to employ when seeking to mitigate bias and prevent discriminatory practices arising from the use of clinical algorithms in healthcare.

Skilled nursing facility staffing shortages: Sources, strategies, and impacts on staff who stayed.

Objective: To examine skilled nursing facility (SNF) staffing shortages across job roles during the COVID-19 pandemic. We aimed to capture the perspectives of leaders on the breadth of staffing shortages and their implications on staff that stayed throughout the pandemic in order to provide recommendations for policies and practices used to strengthen the SNF workforce moving forward.

Study Setting And Design: For this qualitative study, we engaged a purposive national sample of SNF leaders (n = 94) in one-on-one interviews between January 2021 and December 2022.