Exploring the Influence of Contextual Factors and the Caregiving Process on Caregiver Burden and Quality of Life Outcomes of Heart Failure (HF) Dyads after a Hospital Discharge: A Mixed-Methods Study.
Tamara L OliverBreanna D HetlandMyra S SchmadererRonald ZoltyChristopher WichmanBunny PozehlPublished in: Journal of clinical medicine (2024)
Background : This study explores heart failure (HF) dyadic contextual factors and caregiver burden during acute exacerbation hospitalization and discharge. Methods : It employed a mixed-methods approach, with HF dyads completing questionnaires and semi-structured interviews at a one-week post-discharge outpatient visit. Quantitative tools included the SF-12 Quality of Life, Zarit Burden Interview (ZBI), Bakas Caregiving Outcomes Scale (BCOS), and Self-Care of Heart Failure Index v. 6 (SCHFI). Thematic analysis was conducted on interview data to assess caregiver burden, disease trajectory, comorbidities, caregiving time, and employment status. Results : Twelve HF dyads participated, with caregivers (six female, six male) averaging 65.76 years. The ZBI indicated a low caregiver burden (median score of 15), but qualitative data revealed a higher perceived burden related to social isolation, future fears, and caregiver dependence. Male caregivers reported a lower burden than females. Positive goal congruence was noted in caregiving hours and HF management compliance. HF patients had a 10-year survival prediction of 22.75% per the Charlson Comorbidity Index, with 69% in NYHA class III and an average ejection fraction of 37.7%. Caregivers working full-time and caring for higher NYHA-class patients showed higher ZBI and BCOS scores. Conclusions : The study highlights the need for mixed methods and longitudinal research to understand HF disease trajectory and caregiver burden, emphasizing the importance of including caregivers in HF education and screening for perceived burden to improve outcomes and reduce re-hospitalizations.
Keyphrases
- ejection fraction
- heart failure
- acute heart failure
- end stage renal disease
- palliative care
- healthcare
- risk factors
- chronic kidney disease
- newly diagnosed
- mental health
- left ventricular
- aortic stenosis
- physical activity
- type diabetes
- chronic obstructive pulmonary disease
- clinical trial
- coronary artery disease
- prognostic factors
- social support
- study protocol
- peritoneal dialysis
- intensive care unit
- machine learning
- weight loss
- cardiac resynchronization therapy
- hepatitis b virus
- current status
- deep learning
- single cell