Race/Ethnicity and Informal Caregiver Burden After Traumatic Brain Injury: A Scoping Study

"Things That You Thought Mattered, None of That Matters": A Qualitative Exploration of Family Caregiver Values following Left Ventricular Assist Device Implantation

BACKGROUND

Intentional exploration, or elicitation, of patient and family values-who/what matters most-is critical to the delivery of person-centered care, yet the values elicitation experiences of family caregivers have been understudied. Understanding caregiver experiences discussing, reflecting upon, and acting on their values is critical to optimizing health decisions after left ventricular assist device (LVAD) implantation.

OBJECTIVE

The aim of this study was to explore the values elicitation experiences of family caregivers of individuals with an LVAD in the postimplantation period.

METHODS

This was a qualitative descriptive study of LVAD caregivers recruited from an outpatient clinic in the southeast United States. After completing one-on-one semistructured interviews, participants' transcripts were analyzed using thematic analysis.

RESULTS

Interviewed caregivers (n = 21) were 27 to 76 years old, with 67% African American, 76% female, 76% urban-dwelling, and 62% a spouse/partner. LVAD implantation was an impactful experience prompting caregiver reevaluation of their values; these values became instrumental to navigating decisions and managing stressors from their caregiving role. Three broad themes of caregiver values elicitation experiences emerged: (1) caregivers leverage their values for strength and guidance in navigating their caregiving role, (2) LVAD implantation prompts (re)evaluation of relationships and priorities, and (3) caregivers convey their goals and priorities when deemed relevant to patient care.

CONCLUSIONS

Having a care recipient undergo LVAD implantation prompted caregivers to reevaluate their values, which were used to navigate caregiving decisions and stressors. Findings highlight the need for healthcare professionals to engage and support caregivers after LVAD implantation.

Outcomes and predictors of stress among Turkish family caregivers of patients with acquired brain injury

OBJECTIVE

This study examined family caregiver stress and factors predicting the stress among caregivers of patients with acquired brain injury (ABI).

METHODS

Sixty caregivers of patients with ABI took part in this study. All participants completed assessments of Caregiver Strain Index, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, Nottingham Health Profile (NHP), and Satisfaction with Life Scale (SWLS). The patients with ABI were also assessed on the Functional Independence Measure, Disability Rating Scale, Rancho Los Amigos Cognitive Scale-revised, Functional Ambulation Classification Scale, and Neurobehavioral Rating Scale-revised. Relationship between caregiver's stress and clinical outcomes was analyzed, together with factors significantly associated with stress.

RESULTS

Elevated levels of stress were determined in 40% of caregivers. Higher stress was seen in caregivers of patients with shorter disease duration, worse functioning, who had more depression and anxiety, poorer perceived health status particularly for pain and emotional reaction domains, and less life satisfaction. Linear regression analysis demonstrated that caregiver's stress was predicted by NHP pain domain (β = 0.062, p = 0.016) and SWLS (β = -0.133, p = 0.040).

CONCLUSION

Caregivers with more pain and less life satisfaction are at higher risk of developing stress. In order to overcome this difficult process and improve the quality of care, it would be appropriate to reveal predictors of stress and produce appropriate interventions/approaches.

System dynamics modeling for traumatic brain injury: Mini-review of applications

Traumatic brain injury (TBI) is a highly complex phenomenon involving a cascade of disruptions across biomechanical, neurochemical, neurological, cognitive, emotional, and social systems. Researchers and clinicians urgently need a rigorous conceptualization of brain injury that encompasses nonlinear and mutually causal relations among the factors involved, as well as sources of individual variation in recovery trajectories. System dynamics, an approach from systems science, has been used for decades in fields such as management and ecology to model nonlinear feedback dynamics in complex systems. In this mini-review, we summarize some recent uses of this approach to better understand acute injury mechanisms, recovery dynamics, and care delivery for TBI. We conclude that diagram-based approaches like causal-loop diagramming have the potential to support the development of a shared paradigm of TBI that incorporates social support aspects of recovery. When developed using adequate data from large-scale studies, simulation modeling presents opportunities for improving individualized treatment and care delivery.