Reducing Caregiver Burden Through Dyadic Support in Palliative Care: A Systematic Review Focused on Middle-Aged and Older Adults
Gonçalo Botas, Sheila A. Pires, César Fonseca, Ana Ramos
Abstract
Background/Objectives: Family caregivers in palliative care often face complex physical, emotional, and logistical challenges, which can result in a significant caregiving burden. Dyadic interventions—designed to support both the patient and the caregiver simultaneously—have emerged as a promising holistic approach to enhancing well-being and quality of life. This systematic review aimed to evaluate the effects of dyadic support interventions in reducing caregiver burden among middle-aged and older adults receiving palliative care. Methods: A systematic literature search was conducted following PRISMA guidelines across five databases (CINAHL, MEDLINE, Web of Science, Scopus, and Google Scholar for grey literature) covering the period from 2019 to January 2025. Results: Of 653 records identified, 8 studies met the inclusion criteria. Interventions were typically delivered by multidisciplinary teams and included weekly in-person consultations, telephone follow-up, telemedicine, physical exercise sessions, laughter therapy, and music therapy over durations ranging from 16 weeks to 6 months. These programs resulted in reduced anxiety and depressive symptoms (PHQ-4, HADS, SDS, BAI, SAS), improved functional and social performance (SF-36), and/or enhanced quality of life (MQLQ, QOL-AD, KCCQ-12, EORTC QLQ-C30). In patients, they contributed to better symptom control (ESAS, CFS), while in caregivers, they effectively reduced burden (ZBI-12, FCBSI, CBI) and/or supported the anticipatory grief process (PGQ, AGS). However, not all studies reported consistently positive outcomes. Conclusions: Structured dyadic interventions that involve both patients and caregivers significantly improve outcomes in palliative care for middle-aged and older adults. Future research should examine their long-term impact and explore the integration of artificial intelligence to optimize intervention delivery.