Determinants of Caregiver Well-Being in End-of-Life Care: A Systematic Review Protocol
NG, Y. X.; Teo, R. F.; Shankar, R.
Show abstract
End-of-life caregiving represents one of the most demanding experiences for informal caregivers who often sacrifice their own well-being while supporting dying loved ones. This systematic review protocol presents a comprehensive framework for synthesizing evidence on factors influencing caregiver well-being in end-of-life care settings. Using the SPIDER framework (Sample, Phenomenon of Interest, Design, Evaluation, Research type), we will investigate caregiver experiences across physical, psychological, social, and spiritual well-being dimensions. Eight electronic databases (PubMed, Web of Science, Embase, CINAHL, MEDLINE, Cochrane Library, PsycINFO, Scopus) will be searched from inception to June 2025. Eligible studies include quantitative, qualitative, and mixed-methods research examining factors associated with caregiver well-being in hospice, palliative, and terminal care contexts. Covidence software will facilitate systematic screening, data extraction, and quality assessment by two independent reviewers using design-specific appraisal tools. Data synthesis will employ a convergent integrated approach combining narrative synthesis with meta-analysis where appropriate. Quality assessment will utilize JBI checklists, Newcastle-Ottawa Scale, and CASP tools, with evidence certainty evaluated using GRADE and GRADE-CERQual. This protocol follows PRISMA-P guidelines and will be registered with PROSPERO. Findings will inform evidence-based interventions and policies supporting the millions providing essential end-of-life care.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Defining and measuring unmet palliative care needs among people with life-limiting illness: a scoping review of international evidence 93%
- Addressing barriers to interprofessional working with homecare workers in community palliative care: insights from a multi-site qualitative case study in England 92%
- Models, components, and outcomes of palliative and end-of-life care provided to adults living at home: A systematic review of reviews 92%
Similar papers in this journal
- Synthesizing evidence regarding community-based volunteer facilitated programs supporting integrated care transitions from hospital to home: A scoping review protocol 93%
- Caregiver-mediated interventions to support self-regulation among infants and young children (0-5): A protocol for a realist review 92%
- Acceptability of a behavioural intervention to mitigate the psychological impacts of COVID-19 restrictions in older people with long-term conditions: a qualitative study 92%
Similar papers in this journal
- Effectiveness of dyadic interventions in improving outcomes for adults with multiple long-term conditions and/or frailty and their informal carers: A systematic review protocol 93%
- Bereavement care for ethnic minority communities: A systematic review of access to, models of, outcomes from, and satisfaction with, service provision 92%
- Interventions for burnout and well-being in homelessness staff: a systematic scoping review 92%
Similar papers in this journal
- Nurse-physician Communication around Identifying Palliative Care Needs in Nursing Home Residents 91%
- Effect of a simple exercise programme on hospitalisation-associated disability in older patients: a randomised controlled trial. 88%
- Risk factors for falls in community-dwelling older adults: An umbrella review 87%
Similar papers in this journal
- Understanding the Impact of Digital Technology on the Well-being of Older Immigrants and Refugees: A Scoping Review Protocol 92%
- An online mental health informed physical activity intervention for emergency service workers and their families: A stepped-wedge trial 88%
- Evaluating the GRACE voice assistant for dementia care among caregivers and healthcare professionals: An interview study. 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.