Complex identities, intersectionality and research approaches in millennial family caregivers in the United States.

AIMS: A discussion of the personal and social contexts for Millennial family caregivers and the value of including complex identity and intersectionality in Millennial family caregiving research with practical application. DESIGN: Discussion paper. DATA SOURCES: This discussion paper is based on our own experiences and supported by literature and theory. IMPLICATIONS FOR NURSING: Millennial family caregivers have distinct generational, historical and developmental experiences that contribute to the care they provide as well as their own well-being. Complex identity, the integration of multiple identities, and intersectionality, systems and structures that disempower and oppress individuals with multiple identities, need to be addressed in nursing research so intervention tailoring and health equity can be better supported in this population. From research conceptualization and design to data analysis, data must be used intentionally to promote equity and reduce bias. The inclusion of diverse Millennial caregivers throughout all stages of the research process and having a diverse nursing research workforce will support these efforts. CONCLUSION: Millennial family caregivers comprise one-quarter of the family caregiving population in the United States, and they are more diverse than previous family caregiving generational cohorts. Their needs will be more fully supported by nursing scientists with the adoption of methods and techniques that address complex identity and intersectionality. IMPACT: Nursing researchers can use the following research approaches to address complex identity and intersectionality in Millennial caregivers: inclusion of qualitative demographic data collection (participants can self-describe); data disaggregation; data visualization techniques to augment or replace frequencies and descriptive statistics for demographic reporting; use of researcher reflexivity throughout the research process; advanced statistical modelling techniques that can handle complex demographic data and test for interactions and differential effects of health outcomes; and qualitative approaches such as phenomenology that centre the stories and experiences of individuals within the population of interest.

Equity in the Provision of Diabetes Self-Management Education and Support.

Diabetes self-management education and support (DSMES) interventions must be accessible to all people with diabetes. To address equity in the delivery of DSMES, interventions should consider the unique needs of various populations. This article outlines the needs of a wide range of populations, including people with diabetes who are racially or ethnically diverse; have limited English proficiency or literacy; are deaf or hard of hearing; are blind or have low vision; are neurodiverse; live with learning disabilities or intellectual or developmental disabilities; have dementia or cognitive impairment; or are of sexual and/or gender minority. The authors discuss how best to tailor DSMES to meet the needs of these diverse groups.

Understanding Factors That Predict Advance Directive Completion.

Background: Advance care planning was designed for the purpose of ensuring that patients receive care at end of life (EOL) that is congruent with their wishes, goals, and values. Despite the evidence of the negative impact of not having advance directives (ADs), only one-third of adults in the United States have written ADs. Determining the patient's goals of care in the setting of metastatic cancer is vital to the delivery of high-quality healthcare. Although much is known about barriers to AD completion (e.g., the uncertainty of the disease process and trajectory, readiness of patient and family to have these discussions, and patient-provider communication barriers), little is known about the role of both patient and caregiver factors influencing AD completion. Objective: This study aimed to understand the relationship between patient and family caregiver demographic characteristics, and processes, and their influence on AD completion. Design: This study was a cross-sectional descriptive correlational design and employed secondary data analysis. The sample was composed of 235 patients with metastatic cancer and their caregivers. Results: A logistic regression analysis was performed to analyze the relationship between predictor variables and the criterion variable of AD completion. Out of the 12 predictor variables, only 2 variables (patient age and race) predicted AD completion. Of those two predictor variables, patient age made a greater and unique contribution to explaining AD completion, compared with patient race. Conclusion: There is a need for further research on cancer patients with historical low AD completion.

Disparities and Racism Experienced Among Older African Americans Nearing End of Life.

Purpose of Review: The purpose of this review is to examine racism in healthcare as it relates to older African American adults. We focus on health disparities in old age and medical mismanagement throughout their lifespan. Recent Findings: In the United States there have been extensive medical advances over the past several decades. Individuals are living longer, and illnesses that were deemed terminal in the past are now considered chronic illnesses. While most individuals living with chronic illness have experienced better quality of life, this is not the case for many African American older adults. Summary: Older African American adults are less likely to have their chronic illness sufficiently managed and are more likely to die from chronic illnesses that are well controlled in Whites. African American older adults also continue to suffer from poorer healthcare outcomes throughout the lifespan to end-of-life.