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Record W4409475962 · doi:10.2196/71596

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

2025· review· en· W4409475962 on OpenAlexvenueno aff
Xin Ming Deng, Kanokwan Hounsri, Violeta López, Wilson Tam

Bibliographic record

VenueJMIR Cancer · 2025
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintTerminal cancerTerminal (telecommunication)PerceptionCancerPhase (matter)Hospice carePsychologyNursingGerontologyMedicinePalliative careComputer scienceInternal medicineWorld Wide WebTelecommunications

Abstract

fetched live from OpenAlex

BACKGROUND: Home-based hospice care offers terminal cancer patients the comfort of receiving care in a familiar environment while enabling family members to provide personalised support. Despite the critical role families play, the literature remains underexplored in terms of their experiences, needs, and perceptions. A robust qualitative synthesis is needed to inform improvements in palliative care services. OBJECTIVE: This meta-synthesis aims to systematically review and synthesise qualitative evidence regarding the experiences, needs, and perceptions of family caregivers in home-based hospice care for terminal cancer patients. The goal is identifying key themes that can improve caregiver support and service delivery. METHODS: A systematic search was conducted across MEDLINE, EMBASE, SCOPUS, PsycINFO, CINAHL, Google Scholar and relevant grey literature sources up to 14 March 2025. Studies were included if they focused on family caregivers' experiences in home-based hospice care settings, excluding those that addressed only patients or healthcare providers. Two independent reviewers performed study selection, data extraction, and quality assessment using the Critical Appraisal Skills Programme (CASP) checklist. Data were synthesised using a three-step thematic synthesis approach, and the confidence in the findings was assessed via the GRADE-CERQual framework. RESULTS: Five studies published between 1989 and 2022 from diverse geographical regions (including Asia and Western settings) met the inclusion criteria. Two major themes emerged: (1) Being Physically and Emotionally Present-where caregivers expressed a strong commitment to remain with their loved ones, providing emotional support and maintaining a sense of control; and (2) Sharing Responsibilities-which underscored the importance of both formal support from palliative care teams and informal support from family and friends in mitigating caregiver burden. These findings directly address the study's aims by illustrating how caregivers balance emotional commitment with the practical challenges of providing home-based care. CONCLUSIONS: While family caregivers are dedicated to delivering high-quality, personalised care, they encounter significant emotional and logistical challenges. Variability in study settings, potential recall bias from retrospective interviews, and limited grey literature access may affect the generalisability of the findings. This meta-synthesis underscores the essential role of family involvement in home-based hospice care for terminal cancer patients. The combined reliance on emotional commitment and shared responsibilities-with support from professional care teams-is vital for optimal care delivery. Future interventions should enhance formal and informal support systems to meet family caregivers' diverse needs better. CLINICALTRIAL: Prospero: CRD42023486012.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.114
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.034
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.114
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.012
Bibliometrics0.0150.013
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.436
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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