Stress and Supportive Care Needs of Millennial Caregivers: A Qualitative Analysis

Predictors of Supportive Care Needs During Serious Illness: Cross-sectional Analysis of Reservation-Based Informal Caregivers

Native Americans (Indigenous Americans) have high rates of serious illness in the United States. Informal caregivers are heavily relied on in caring for patients in low-resource settings. The needs of caregivers residing on reservations are sorely underreported. Therefore, our objective was to examine relationships between facilitators (communal mastery, cultural identity, and spirituality) and barriers (depression, anxiety, stress, and burden) with supportive care needs among adult informal caregivers in 1 reservation-based community. A cross-sectional survey was distributed in July and August 2022 as part of a larger multimethod, community-based participatory research study. We used descriptive statistics and linear regression models to examine relationships against the primary outcome, the Supportive Care Needs Assessment Tool for Indigenous People. Overall, 127 participants were included; most were female (n = 92, 72.4%), were between 30 and 49 years (n = 57, 44.9%), and had 6 months or less of caregiving experience (n = 41, 32.5%). Higher depression, anxiety, stress, and burden were significantly associated with higher Supportive Care Needs Assessment Tool for Indigenous People scores. Overall, mental health is a significant barrier that may indicate greater supportive care needs among informal caregivers, although further work is needed to differentiate symptoms and their impact on caregiving from a cultural perspective.

Experiences and Supportive Care Needs of Latinx Millennial Caregivers

INTRODUCTION

Latinx Millennial caregivers are an understudied minority group in the United States. Due to life stage and cultural values, these caregivers struggle to balance conflicting priorities with career, family, and caregiving. They also face systemic barriers and healthcare disparities.

METHODS

Participants (N = 29) were recruited locally and nationally. Qualitative data were collected using five focus groups and one individual interview. Interviews were analyzed by seven coders using thematic analysis with an inductive approach.

RESULTS

Meta-themes included (a) the Latinx experience with culture, immigrant status, and structural barriers; and (b) being a super caregiver: being everything to everyone. Additional main themes were identified including family well-being, occupational and financial well-being, social support dynamics, challenges and rewards of family caregiving, and coping strategies.

DISCUSSION

Clinical interventions for Latinx Millennial caregivers should address cultural background, value of family/community, and systemic barriers for care and support.

Inequities Among Cancer Caregivers with Diverse Identities: A Review of the Literature and Future Directions

PURPOSE OF REVIEW

The number of older adults with cancer relying on support from caregivers continues to increase. Health disparities in older adults with cancer often extend to their caregivers. This review aims to assess the state of cancer caregiving research in historically underrepresented diverse populations and provide recommendations for future research and policy.

RECENT FINDINGS

Research on caregivers of older adults with cancer from diverse backgrounds has primarily been descriptive. Health disparities for historically underrepresented caregivers (LGBTQ + , BIPOC, rural, young adults, youth) exist across several dimensions (e.g., financial, mental, and physical health, and access to caregiver support). Few published studies have closely examined the unique experiences of these caregivers nor provided culturally appropriate tailored interventions. Health equity research within caregiving populations is in its infancy. Priorities for future work should focus on identifying modifiable targets for intervention, changing systems-level processes in acknowledging and supporting caregivers, and creating policies that reduce financial inequities of caregiving.

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.