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. In order to properly answer this question, it is necessary to understand how algorithmic bias arises. We break down 3 sources of bias encountered when using electronic health record data to develop CDS tools: (1) use of proxy variables, (2) observability concerns and (3) underlying heterogeneity. We discuss how answering the question of whether to include sensitive variables like race often hinges more on qualitative considerations than on quantitative analysis, dependent on the function that the sensitive variable serves. Based on our experience with our own institution's CDS governance group, we show how health system-based governance committees play a central role in guiding these difficult and important considerations. Ultimately, our goal is to foster a community practice of model development and governance teams that emphasizes consciousness about sensitive variables and prioritizes 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. By using examples from a "real-world" AI governance framework, we aim to initiate a wider discourse on equipping nurses with the skills needed to champion the BE FAIR initiative. METHODS: Drawing on principles recently articulated by the Office of the National Coordinator for Health Information Technology, we conducted a critical examination of the concept of health equity by design. We also reviewed recent literature describing the risks of artificial intelligence (AI) technologies in healthcare as well as their potential for advancing health equity. Building on this context, we describe the BE FAIR framework, which has the potential to enable nurses to take a leadership role within health systems by implementing a governance structure to oversee the fairness and quality of clinical algorithms. We then examine leading frameworks for promoting health equity to inform the operationalization of BE FAIR within a local AI governance framework. RESULTS: The application of the BE FAIR framework within the context of a working governance system for clinical AI technologies demonstrates how nurses can leverage their expertise to support the development and deployment of clinical algorithms, mitigating risks such as bias and promoting ethical, high-quality care powered by big data and AI technologies. CONCLUSION AND RELEVANCE: As health systems learn how well-intentioned clinical algorithms can potentially perpetuate health disparities, we have an opportunity and an obligation to do better. New efforts empowering nurses to advocate for BE FAIR, involving them in AI governance, data collection methods, and the evaluation of tools intended to reduce bias, mark important steps in achieving equitable healthcare for all.

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. Patients were categorized into two groups: patients with no opioid prescriptions within 12 months before surgery and patients with an opioid prescription after surgery. McNemar tests were conducted to test for significant presurgical to postsurgical changes in opioid rate changes. The Wilcoxon signed rank test was used to test for significant pre- to postsurgical changes in average MME/day/person, and bivariate logistic regression analyses and covariate-adjusted logistic regressions were used to predict postsurgical opioid prescriptions. RESULTS: Overall, 1,076 patients underwent TSR. More than 900 patients received presurgical opioid prescriptions. There was a significant increase (p = .0015) in pre-surgical to postsurgical prescription rates. Postsurgical opioid prescriptions were 4.6 times more likely to be prescribed to a pre-surgical non-opioid patient than an opioid patient (p < .0001). Among those prescribed an opioid, the median dosage was <50 MME/day and over 82% of patients were at low overdose risk. Patients with comorbidities and without pre-surgical alcohol use were more likely to receive postsurgical opioids. Postsurgical opioid prescriptions were 4.6 times more likely to be prescribed to a presurgical non-opioid patient than an opioid patient (p < .0001). More than 80% of patients undergoing TSR received presurgical opioids. Among those prescribed any opioid, the median dosage was <50 MME/day and greater than 82% of patients were at low overdose risk. CONCLUSIONS: Although presurgical non-opioid patients were more likely to receive a postsurgical opioid prescription, based on dosage, most patients were at low risk for an opioid-related overdose or death according to CDC guidelines.

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. METHODS: This was a longitudinal study with descriptive analysis of the Healthcare Cost and Utilization Project of National Inpatient Sample data. FINDINGS: During this study period, the total number of discharges was 1 333 996. Patients with CAD between 65 and 84 years old were among the highest users of inpatient hospital services, followed by those in the 45- to 64-year age group. The death rate increased from 5961 to 7217 per 10 000 patients during this time. The mean charge increased more than 5 times, from $9100 to $49 643. There was a large difference in mean hospital charges in urban ($51 666) and rural ($25 548) locations in 2014. Coronary artery disease patients with private insurance paid more than those with Medicaid and Medicare plans. The discharge to home and healthcare costs increased by 4.1% and 4.8%, respectively. CONCLUSION AND IMPLICATIONS: Future researchers should use data sets, such as Medicare claims/Medical Expenditure Panel Study, that can provide comprehensive insights into patient-level factors influencing the use of inpatient care services among patients with CAD. Healthcare providers in posthospital settings should be well skilled in providing advanced cardiac rehabilitation and education to patients with CAD.

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. OUTCOME: : Discharge destination (subacute vs. home/community settings). RESULTS: : Approximately 16% were discharged to subacute vs. 84% home. Younger versus older adults had lower odds of subacute discharge [OR = 0.72; 95% CI: 0.69, 0.76]. Younger females had lower odds of subacute discharge (vs. home) than older females [OR = 0.68; 95% CI: 0.63, 0.74]; younger males had lower odds of subacute discharge (vs. home) than older males [OR = 0.74; 95% CI: 0.70, 0.78]. Younger females versus younger males had lower odds of subacute discharge (vs. home) [OR = 0.83; 95% CI: 0.79, 0.87]. Older females versus older males had lower odds of subacute discharge (vs. home) [OR = 0.93; 95% CI: 0.90, 0.97]. Predictors of discharge destination for age- and sex-stratified groups varied. CONCLUSIONS: : Younger (vs. older) and female (vs. male) patients had lower odds of subacute discharge vs. home.

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 (N = 99,614) diagnosed with TBI, age 18-64, admitted for IRF care between 2002 and 2018. Logistic regression was used to analyze data. OUTCOME: : Discharge destination (home/community vs. subacute settings). RESULTS: : Most younger adults (age 18-64) with TBI were discharged home (89.24%) after IRF care vs. subacute (10.76%). Of those discharged home, 63.16% were white, 10.42% Black, 8.94% Hispanic/Latino, and 6.72% other races/ethnicities. After adjusting for covariates, patients who were Hispanic/Latino [OR = 1.26; 95% CI: 1.15, 1.37] and other race/ethnicities [OR = 1.10; 95% CI: 1.00, 1.21] (vs. White) had higher odds of discharge home vs. subacute. There was no difference in discharge destination for Black patients (vs. white). Predictors of discharge destination for groups stratified by race/ethnicity varied. CONCLUSIONS: : Younger patients with TBI who were Hispanic/Latino or other races/ethnicities (vs. white) were more likely to go home vs. subacute. Findings can be used to inform IRF planning, resource allocation, and transitional care planning.

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. Parishioners with prediabetes from four African-American churches participated in free, evidence-based group coaching to learn how to manage and control risk factors associated with type 2 diabetes. The weekly group coaching sessions took place at a local church and they were co-facilitated by two trained professionals: a lifestyle coach and a nurse practitioner. At the conclusion of the 16-week group coaching sessions, participants had a decrease in hemoglobin A1C levels, an increase in minutes of physical activity per week, and an improvement in knowledge and behavior.

Quality of life in older adults receiving hemodialysis: a qualitative study.

PURPOSE: Patient priorities for quality of life change with age. We conducted a qualitative study to identify quality of life themes of importance to older adults receiving dialysis and the extent to which these are represented in existing quality of life instruments. METHODS: We conducted semi-structured interviews with 12 adults aged ≥ 75 years receiving hemodialysis to elicit participant perspectives on what matters most to them in life. We used framework analysis methodology to process interview transcripts (coding, charting, and mapping), identify major themes, and compare these themes by participant frailty status. We examined for representation of our study's subthemes in the Kidney Disease Quality of Life (KDQOL-36) and the World Health Organization Quality of Life for Older Adults (WHOQOL-OLD) instruments. RESULTS: Among the 12 participants, average age was 81 (4.2) years, 7 African-American, 6 women, and 6 met frailty criteria. We identified two major quality of life themes: (1) having physical well-being (subthemes: being able to do things independently, having symptom control, maintaining physical health, and being alive) and (2) having social support (subthemes: having practical social support, emotional social support, and socialization). Perspectives on the subthemes often varied by frailty status. For example, being alive meant surviving from day-to-day for frail participants, but included a desire for new life experiences for non-frail participants. The majority of the subthemes did not correspond with domains in the KDQOL-36 and WHOQOL-OLD instruments. CONCLUSION: Novel instruments are likely needed to elicit the dominant themes of having physical well-being and having social support identified by older adults receiving dialysis.

Hospital Readmission and Costs of Total Knee Replacement Surgery in 2009 and 2014: Potential Implications for Health Care Managers.

The purpose of this article is to describe changes in hospital readmissions and costs for US hospital patients who underwent total knee replacement (TKR) in 2009 and 2014. Data came from the Healthcare Cost and Utilization Project net-Nationwide Readmissions Database. Compared with 2009, overall 30-day rates of readmissions after TKR decreased by 15% in 2014. Rates varied by demographics: readmission rates were lower for younger patients, males, Medicare recipients, and those with higher incomes. Overall, costs rose 20% across TKR groups. This report is among the first to describe changes in hospital readmissions and costs for TKR patients in a national sample of US acute care hospitals. Findings offer hospital managers a mechanism to benchmark their facilities' performances.

Hospital Readmission in Total Hip Replacement Patients in 2009 and 2014.

OBJECTIVE: To document changes in 30-day hospital readmission rates and causes for returning to the hospital for care in THR patients. DESIGN: Retrospective cross-sectional descriptive design. SETTING: Community-based acute care hospitals. PARTICIPANTS: Total sample size (N=142,022) included THR patients (identified as ICD-9-CM procedure code 81.51) in 2009 (n=31,232) and (n=32,863) in 2014. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: 30-Day hospital readmission. RESULTS: The overall readmission rate decreased by 1.3% from 2009 to 2014. The decrease in readmission rates varied by groups, with lesser improvements seen in THR patients who were younger, with private insurance, and residing in lower-income and rural communities. Device complications were the leading cause of readmission in THR patients, increasing from 19.8% in 2009 to 23.9% in 2014. CONCLUSIONS: There has been little decrease in hospital 30-day readmission rates for US community hospitals between 2009 and 2014. Findings from this brief report indicate patient groups at greater risk for 30-day hospital readmission as well as leading causes for readmission in THR patients which can inform the development of tailored interventions for reduction.

Management Team Perceptions of Risks and Strategies for Preventing Falls Among Short-Stay Patients in Nursing Homes.

We sought to understand strategies reported by members of the nursing home management team used to prevent falls in short-stay nursing home patients. Using Donabedian's model of structure, process, and outcomes, we interviewed 16 managers from 4 nursing homes in central North Carolina. Nursing home managers identified specific barriers to fall prevention among short-stay patients including rapid changes in functional and cognitive status, staff unfamiliarity with short-stay patient needs and patterns, and policies impacting care. Few interventions for reducing falls among short-stay patients were used at the structure level (eg, specialized units, workload ratio, and staffing consistency); however, many process-level interventions were used (eg, patient education on problem solving, self-care/mobility, and safety). We described several barriers to fall prevention among short-stay patients in nursing homes. From these descriptions, we propose three interventions that might reduce falls for short-stay patients and could be tested in future research: (1) clustering short-stay patients within a physical location to permit higher staff-patient ratios and enhanced surveillance, (2) population-based prevention interventions to supplement existing individually tailored prevention strategies (eg, toileting schedules, medication review for all), and (3) transitional care interventions that transmit key information from hospitals to nursing homes.

Self-Care and Mobility Following Postacute Rehabilitation for Older Adults With Hip Fracture: A Multilevel Analysis.

OBJECTIVE: To examine contextual (facility and community) and individual factors associated with self-care and mobility outcomes among Medicare hip fracture patients receiving inpatient rehabilitation. DESIGN: Retrospective cohort study of 3 linked data files: Inpatient Rehabilitation Facility-Patient Assessment Instrument, Provider of Services, and Area Health Resources. Multilevel modeling was used to examine the effects of contextual and individual factors on self-care and mobility outcomes. SETTING: Inpatient rehabilitation facilities (IRFs). PARTICIPANTS: Medicare hip fracture patients (N=35,264; mean age, 81y) treated in IRFs (N=1072) in 2012. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Self-care (eating, grooming, bathing, upper and lower body dressing, toileting) and mobility (walk/wheelchair, stairs) at discharge. RESULTS: Mean ± SD self-care and mobility scores at admission were 3.17±.87 and 1.24±.51, respectively; mean ± SD self-care and mobility scores at discharge were 5.03±1.09 and 3.31±1.54, respectively. Individual and contextual levels explained 44.4% and 21.6% of the variance in self-care at discharge, respectively, and 19.5% and 1.9% of the variance in mobility at discharge, respectively. At the individual level, age, race/ethnicity, cognitive and motor FIM scores at admission, and tier comorbidities explained variance in self-care and mobility; sex and length of stay explained variance only in self-care. At the contextual level, facilities' case mix (mean patient age, percent non-Hispanic white, mean self-care score at admission) and structural characteristics (rural location, freestanding, for-profit ownership) explained variance only in self-care; facilities' case mix (mean patient age, percent non-Hispanic white, percent living with social support, mean mobility score at admission) explained variance in mobility. Community variables were nonsignificant. CONCLUSIONS: Individual and facility factors were significant predictors of discharge self-care and mobility among Medicare hip fracture patients in IRFs. The findings may improve quality of IRF services to hip fracture patients and inform risk adjustment methods.

The Effects of Social Support on Physical Functioning in Older African Americans: Longitudinal Results from the Baltimore Study of Black Aging.

INTRODUCTION: Compared with other racial/ethnic groups, African Americans have higher rates of chronic conditions and suffer a disproportionate burden of disability. We aimed to examine the effects of social support on physical functioning among older African Americans. METHODS: We analyzed a sample of 448 urban, community-dwelling, older African Americans (aged 48-98 years) from the Baltimore Study of Black Aging. Baseline physical functioning was collected between 2006 and 2008 (wave 1), and change in physical functioning was collected between 2009 and 2011 (wave 2), physical functioning was assessed by self-reported limitations in 7 activities of daily living-eating, dressing, grooming, walking, bathing, using the toilet, and transferring in and out of bed-using a binary variable to indicate whether the individual had difficulty performing each specific activity. Social support was measured by how frequently participants provided/received goods and services, financial assistance, transportation, companionship, advice, or encouragement (never [0], rarely [1], sometimes [2], frequently [3]). Negative binomial regression models were used to test the effects of social support given, received, and a ratio (support received/support given) on physical functioning for those who improved and those who declined in physical functioning. RESULTS: Participants reported physical functioning at wave 1 (1.24, standard deviation [SD] = 1.98) and at wave 2 (0.34, SD = 0.83). Average social support given was 7.49 (SD = 3.26), and average social support received was 7.81 (SD = 3.17). Those who improved in physical function gave less social support and had lower social support ratios; social support received had no effect. Those who remained stable or declined in physical function gave more social support; neither social support received nor social ratio had an effect. CONCLUSION: Social support given and social support received as well as the ratio should be considered when seeking to understand how physical functioning changes over time among older African Americans.

Relationship Between Chronic Conditions and Disability in African American Men and Women.

BACKGROUND: Race differences in chronic conditions and disability are well established; however, little is known about the association between specific chronic conditions and disability in African Americans. This is important because African Americans have higher rates and earlier onset of both chronic conditions and disability than white Americans. METHODS: We examined the relationship between chronic conditions and disability in 602 African Americans aged 50 years and older in the Baltimore Study of Black Aging. Disability was measured using self-report of difficulty in activities of daily living (ADL). Medical conditions included diagnosed self-reports of asthma, depressive symptoms, arthritis, cancer, diabetes, cardiovascular disease (CVD), stroke, and hypertension. RESULTS: After adjusting for age, high school graduation, income, and marital status, African Americans who reported arthritis (women: odds ratio (OR)=4.87; 95% confidence interval(CI): 2.92-8.12; men: OR=2.93; 95% CI: 1.36-6.30) had higher odds of disability compared to those who did not report having arthritis. Women who reported major depressive symptoms (OR=2.59; 95% CI: 1.43-4.69) or diabetes (OR=1.83; 95% CI: 1.14-2.95) had higher odds of disability than women who did not report having these conditions. Men who reported having CVD (OR=2.77; 95% CI: 1.03-7.41) had higher odds of disability than men who did not report having CVD. CONCLUSIONS: These findings demonstrate the importance of chronic conditions in understanding disability in African Americans and how it varies by gender. Also, these findings underscore the importance of developing health promoting strategies focused on chronic disease prevention and management to delay or postpone disability in African Americans. PUBLICATION INDICES: Pubmed, Pubmed Central, Web of Science database.

Changes in Payment Regulation and Acute Care Use for Total Hip Replacement: Trends in Length of Stay, Costs, and Discharge, 1997-2012.

PURPOSE: To describe trends in the length of stay (LOS), costs, mortality, and discharge destination among a national sample of total hip replacement (THR) patients between 1997 and 2012. DESIGN: Longitudinal retrospective design METHODS: Descriptive analysis of the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample data. FINDINGS: A total of 3,516,636 procedures were performed over the study period. Most THR patients were women, and the proportion aged 44-65 years increased. LOS decreased from 5 to 3 days. Charges more than doubled, from $22,184 to $53,901. Deaths decreased from 43 to 12 deaths per 10,000 patients. THR patients discharged to an institutional setting declined, while those discharged to the community increased. CONCLUSION: We found an increase in THR patients, who were younger, women, had private insurance, and among those discharged to community-based settings. CLINICAL RELEVANCE: Findings have implications for patient profiles, workplace environments, quality improvement, and educational preparation of nurses in acute and postacute settings.

Performance-based outcomes of inpatient rehabilitation facilities treating hip fracture patients in the United States.

OBJECTIVE: To examine the influence of facility and aggregate patient characteristics of inpatient rehabilitation facilities (IRFs) on performance-based rehabilitation outcomes in a national sample of IRFs treating Medicare beneficiaries with hip fracture. DESIGN: Secondary data analysis. SETTING: U.S. Medicare-certified IRFs (N=983). PARTICIPANTS: Data included patient records of Medicare beneficiaries (N=34,364) admitted in 2009 for rehabilitation after hip fracture. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Performance-based outcomes included mean motor function on discharge, mean motor change (mean motor score on discharge minus mean motor score on admission), and percentage discharged to the community. RESULTS: Higher mean motor function on discharge was explained by aggregate characteristics of patients with hip fracture (lower age [P=.009], lower percentage of blacks [P<.001] and Hispanics [P<.001], higher percentage of women [P=.030], higher motor function on admission [P<.001], longer length of stay [P<.001]) and facility characteristics (freestanding [P<.001], rural [P<.001], for profit [P=.048], smaller IRFs [P=.014]). The findings were similar for motor change, but motor change was also associated with lower mean cognitive function on admission (P=.008). Higher percentage discharged to the community was associated with aggregate patient characteristics (lower age [P<.001], lower percentage of Hispanics [P=.009], higher percentage of patients living with others [P<.001], higher motor function on admission [P<.001]). No facility characteristics were associated with the percentage discharged to the community. CONCLUSIONS: Performance-based measurement offers health policymakers, administrators, clinicians, and consumers a major opportunity for securing health system improvement by benchmarking or comparing their outcomes with those of other similar facilities. These results might serve as the basis for benchmarking and quality-based reimbursement to IRFs for 1 impairment group: hip fracture.

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. This article proposes a framework for nurses which includes AI principles, skills, competencies, and curriculum development focused on the practical use of AI, with an emphasis on care that aims to achieve health equity. By adopting this educational framework, nurses will be prepared to make substantial contributions to reducing health disparities and fostering a health-care system that is more efficient and equitable.

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. DESIGN: Qualitative, multiple-case-study design that purposively sampled NHs from 3 groups based on the Centers for Medicare & Medicaid Services NH 5-star quality performance ratings [ie, high (4-5-star), medium (3-star), and low (1-2-star)]. SETTINGS AND PARTICIPANTS: Ninety-four US NH leaders participated in semistructured interviews via phone, between January 2021 and December 2022. METHODS: A 3-step rapid qualitative analysis process was used to conduct a thematic analysis. RESULTS: Five themes emerged as NH leaders described strategies used to address the mental health and well-being of their staff, including (1) efforts to address stressors in staff's personal lives (eg, risk of COVID-19 transmission to families, finances), (2) providing mental health services (eg, counseling, Employee Assistance Program) and resources (eg, staff self-care, mindfulness), (3) appreciation initiatives to combat negative media portrayals of NHs, (4) fostering an environment that supports mental health and well-being (eg, leadership initiatives to prioritize mental health, embedding training on burnout into standing meetings), and (4) modifying staff benefits (eg, expanding mental health coverage within staff insurance plan, paid time off). CONCLUSIONS: In light of concerns about NH staffing levels and the recently proposed minimum staffing levels, there is a need to design and evaluate initiatives to recruit and retain qualified NH staff. Insights into efforts implemented by NH leaders to improve mental health and well-being can inform the design of future efforts to improve staff retention.

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. This study was cross-sectional design and included 7984 community-dwelling older adults (65+ years) enrolled in the Health and Retirement Study (2006 and 2008). Latent class analysis was performed using seven cardiometabolic indicators (abdominal obesity, obesity, low high-density lipoprotein; and elevated blood pressure, blood sugar, total cholesterol, C-reactive protein). Frailty was indicated by ≥3 features (weakness, slowness, fatigue, low physical activity, unintentional weight loss). Logistic regression was used to examine the relationship between structural determinants (gender, race/ethnicity, and education), cardiometabolic typologies, and frailty. Three cardiometabolic subgroups were identified: insulin-resistant (n = 3547), hypertensive dyslipidemia (n = 1246), and hypertensive (n = 3191). Insulin-resistant subgroup members were more likely to be female, non-Hispanic Black, and college non-graduates; hypertensive dyslipidemia subgroup members were more likely to be non-Hispanic Others and report high school education; and hypertensive subgroup members were more likely to be male and college educated (p≤.05). Frailty risk was higher for females, Hispanic or Non-Hispanic Black older adults, and those with lower education (p≤.001). Frailty risk was greater in the insulin-resistant compared to the other subgroups (both aOR=2.0, both p<.001). Findings highlight a need to design tailored interventions targeting cardiometabolic typologies to prevent and delay frailty.

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). Psychosocial stressors such as loneliness, low subjective social status, financial strain, poor neighborhood cohesion, everyday discrimination, and traumatic life events were measured. Frailty was defined by the Fried phenotype measure. Multivariable logistic regressions were used to examine the association of gender, race/ethnicity, and education with psychosocial stressors, psychosocial stressors associated with frailty, and the mediating psychosocial stressors pathway. RESULTS: Females experienced greater financial strain but lower discrimination (both p < 0.05). Older adults who identified as Hispanic, Black, and racially or ethnically minoritized experienced low subjective social status, high financial strain, low neighborhood cohesion, and high discrimination than their White counterparts (all p < 0.05). Those with lower education experienced high loneliness, low subjective social status, high financial strain, low neighborhood cohesion but lower traumatic life events (all p < 0.05). Psychosocial stressors: High loneliness, low subjective social status, high financial strain, and low neighborhood cohesion (all p < 0.05) independently increased the odds of frailty. The mediating pathway of psychosocial stressors was not significant.  CONCLUSION: Disparities exist in exposure to psychosocial stressors associated with frailty. Multilevel interventions are needed to reduce the influence of psychosocial stressors on frailty.