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.

Enhancing Clinical Decision Support in Nephrology: Addressing Algorithmic Bias Through Artificial Intelligence Governance.

There has been a steady rise in the use of clinical decision support (CDS) tools to guide nephrology as well as general clinical care. Through guidance set by federal agencies and concerns raised by clinical investigators, there has been an equal rise in understanding whether such tools exhibit algorithmic bias leading to unfairness. This has spurred the more fundamental question of whether sensitive variables such as race should be included in CDS tools.

Efforts to Support the Mental Health and Well-being of Nursing Home Staff: Insights From Leaders.

Objectives: The sustained stress and trauma experienced by frontline nursing home (NH) staff throughout the COVID-19 pandemic has been described in health care literature and popular press. Yet, limited attention has been given to attempts to support NH staff. The objective of this study was to examine efforts to support the mental health and well-being of NH staff during the COVID-19 pandemic.

Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research.

The integration of artificial intelligence (AI) into health care offers the potential to enhance patient care, improve diagnostic precision, and broaden access to health-care services. Nurses, positioned at the forefront of patient care, play a pivotal role in utilizing AI to foster a more efficient and equitable health-care system. However, to fulfil this role, nurses will require education that prepares them with the necessary skills and knowledge for the effective and ethical application of AI.

Psychosocial stressors associated with frailty in community-dwelling older adults in the United States.

Background: Frailty is multifactorial; however, psychosocial stressors contributing to frailty are poorly understood. This study aimed to examine whether gender, race/ ethnicity, and education are associated with differential exposure to psychosocial stressors, determine psychosocial stressors contributing to frailty, and explore the mediating psychosocial stressors pathway.

Methods: This cross-sectional study involved 7679 community-dwelling older adults (≥65) from the Health and Retirement Study (2006 and 2008 waves).

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

Objective: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic technologies used in clinical care and operations by creating an Implementation Guide that standardizes evaluation criteria so that local oversight is performed in an objective fashion.

Materials And Methods: Building on a framework that applies key ethical and quality principles (clinical value and safety, fairness and equity, usability and adoption, transparency and accountability, and regulatory compliance), we created concrete guidelines for evaluating algorithmic technologies at our institution.

Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review.

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from discriminating against individuals when using clinical algorithms in decision making. However, HHS did not provide specific guidelines on how covered entities should prevent discrimination. We conducted a scoping review of literature published during the period 2011-22 to identify health care applications, frameworks, reviews and perspectives, and assessment tools that identify and mitigate bias in clinical algorithms, with a specific focus on racial and ethnic bias.

Structural determinants and cardiometabolic typologies related to frailty in community-dwelling older adults.

Frailty is a geriatric syndrome linked to adverse outcomes. Co-occurring cardiometabolic factors increase frailty risk; however, their distinct combinations (typologies) associated with frailty are unclear. We aimed to identify subgroups of older adults with distinct cardiometabolic typologies and characterize their relationship with structural determinants and frailty to inform tailored approaches to prevent and delay frailty.

A call to action to improve the completeness of older adult sexual and gender minority data in electronic health records.

Sexual and gender minority (SGM) older adults experience greater health disparities compared to non-SGM older adults. The SGM older adult population is growing rapidly. To address this disparity and gain a better understanding of their unique challenges in healthcare relies on accurate data collection.

Does cumulative psychosocial stress explain frailty disparities in community-dwelling older adults?

Objective: Frailty is a leading predictor of adverse outcomes in older adults. Although disparities in frailty are well-documented, it is unclear whether psychosocial stressors explain these disparities. This study aimed to examine the potential mediating role of psychosocial stress.

Hospital Utilization for Coronary Artery Disease, 1997-2014.

Background: Coronary artery disease (CAD) is the leading cause of cardiovascular morbidity, mortality, and healthcare costs in the United States. There are few reports on how public health and payment reforms might have influenced inpatient hospital use among patients with CAD.

Objective: This study describes trends in hospital discharges, hospital charges, and discharge destinations in a national sample of patients with CAD between 1997 and 2014.

The Association Between Cardiometabolic Risk Factors and Frailty in Older Adults: A Systematic Review.

Background And Objectives: Enhanced management and prevention of frailty depend on our understanding of the association between potentially modifiable risk factors and frailty. However, the associations between potentially modifiable cardiometabolic risk factors and frailty are not clear. The purpose of this review was to appraise and synthesize the current evidence examining the associations between the cardiometabolic risk factors and frailty.

Sex and Racial/Ethnic Differences in Within-Stay Readmissions During Inpatient Rehabilitation Among Patients With Traumatic Brain Injury.

Objective: The aim of the study was to determine the association of sex and race/ethnicity with acute hospital readmissions ("within-stay readmissions") during inpatient rehabilitation facility care versus patients discharged home without a within-stay readmission among traumatic brain injury patients.

Design: The study used a secondary analysis ( N = 210,440) of Uniform Data System for Medical Rehabilitation data using multiple logistic regression.

Results: Within-stay readmissions occurred for 11.

Predictors of cognitive gains during inpatient rehabilitation for older adults with traumatic brain injury.

Introduction: Traumatic brain injury (TBI) among older adults is increasing and can affect cognition. To effectively meet the rehabilitation needs of older adults, a clearer picture is needed of patient-, clinical-, and facility-level characteristics that affect cognitive recovery during inpatient rehabilitation facility (IRF) stays.

Objective: To identify patient, clinical, and facility factors associated with cognitive recovery among older adults with TBI who received IRF care.

Preoperative and Postoperative Opioid Prescription Rates in the Total Hip Replacement Surgical Patient.

The United States is facing an opioid epidemic that has only worsened with the COVID-19 pandemic. There is little evidence regarding patterns of opioid use among patients with total hip replacement (THR). Although the Centers for Disease Control and Prevention has put forward guidelines for prescribing opioids, it does not include guidance specifically for THR patients suffering from presurgical and postsurgical pain.

Group Coaching Among African-American Individuals with Prediabetes in a Faith-Based Setting.

Roughly 88 million adults have prediabetes and over 84% are unaware that they even have prediabetes. African-Americans have an increased risk of being diagnosed with prediabetes. Faith-based organizations have a history of serving as a primary source of social support for African-Americans.

Age- and sex-specific predictors of inpatient rehabilitation facility discharge destination for adult patients with traumatic brain injury.

Objective: : To determine age- and sex-specific predictors of discharge destination among patients with traumatic brain injury (TBI) receiving inpatient rehabilitation facility (IRF) care.

Design: : Secondary analysis of Uniform Data System for Medical Rehabilitation data.

Methods: : Logistic regression of patients (N = 221,961) age ≥18, TBI diagnosis, admitted to IRF between 2002 and 2018.

Presurgical and Postsurgical Opioid Rates in Patients Undergoing Total Shoulder Replacement Surgery.

Background: The purpose of this study was to describe the pre- and postsurgical opioid prescription rates and average morphine milligram equivalents (MME) per day in patients undergoing total shoulder replacement (TSR) procedures.

Methods: Patients undergoing TSR were identified from the electronic health records (EMR). In addition to patient demographics, opioid prescription 12-months presurgery and postsurgery were recorded.

Adaptive Challenges and Family Support: Patient Self-Management during Treatment for Chronic Hepatitis C.

The authors describe a family's adaptive challenges and adaptive work during a family member's treatment for Chronic Hepatitis C. We audiorecorded index and final clinical visits and interviewed participants (patients and providers) following the visits. We interviewed by telephone and reviewed medical records over the course of treatment.

Inpatient rehabilitation facility discharge destination among younger adults with traumatic brain injury: differences by race and ethnicity.

Objective: : To determine the association of race and ethnicity with discharge destination among patients with traumatic brain injury (TBI) receiving inpatient rehabilitation facility (IRF) care.

Design: Secondary analysis using Uniform Data System for Medical Rehabilitation data.

Methods: : Patients ( = 99,614) diagnosed with TBI, age 18-64, admitted for IRF care between 2002 and 2018.