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Dyadic effects of financial toxicity and social support on the fear of cancer recurrence in breast cancer patients and caregivers: an actor–partner interdependence mediation model.
- Source :
- BMC Nursing; 6/5/2024, Vol. 23 Issue 1, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Purpose: In this study, the actor–partner interdependence mediation model (APIMeM) was applied to breast cancer patients and their caregivers to assess the factors that affect the fear of cancer recurrence. In particular, the purpose of this study was to evaluate the mediating effect of social support on financial toxicity and the fear of cancer recurrence, providing an effective basis for developing plans to reduce the level of fear of cancer recurrence. Methods: This study employed a cross-sectional design, and 405 dyads of breast cancer patients and their caregivers were enrolled. Financial toxicity, social support, and fear of cancer recurrence were assessed by computing comprehensive scores for financial toxicity based on patient-reported outcome measures, the Social Support Rating Scale, and the Fear of Cancer Recurrence Inventory Short Form, respectively. The data were analysed using SPSS 24.0 and AMOS 23.0. Results: The results showed that the fear of cancer recurrence of breast cancer patients and their caregivers was significantly related to dyadic financial toxicity and social support. In addition, the financial toxicity of breast cancer patients and their caregivers had significant actor effects and partner effects on the fear of cancer recurrence through dyadic social support. Conclusions: The financial toxicity of breast cancer patients and their caregivers could produce actor and partner effects on the fear of cancer recurrence through the mediation of social support, which provided empirical support for improving reducing the level of fear of cancer recurrence among patients and caregivers at the dyadic level. [ABSTRACT FROM AUTHOR]
- Subjects :
- TUMOR risk factors
FEAR
CROSS-sectional method
RISK assessment
PEARSON correlation (Statistics)
RESEARCH funding
QUESTIONNAIRES
CANCER patients
STRUCTURAL equation modeling
HOSPITALS
DESCRIPTIVE statistics
MAXIMUM likelihood statistics
FAMILY relations
FINANCIAL stress
CAREGIVERS
SURVEYS
MATHEMATICAL models
SOCIAL support
DISEASE relapse
HEALTH outcome assessment
DATA analysis software
CONFIDENCE intervals
THEORY
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 14726955
- Volume :
- 23
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 177674201
- Full Text :
- https://doi.org/10.1186/s12912-024-02046-0