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Record W4415460577 · doi:10.1186/s12904-025-01905-0

Palliative care conditions managed at home and self-reported challenges experienced by informal home-based caregivers in Rwanda: a qualitative study

2025· article· en· W4415460577 on OpenAlexaff
Jean Claude Twahirwa, Madeleine Mukeshimana, Margaret I. Fitch, Godfrey Katende

Bibliographic record

VenueBMC Palliative Care · 2025
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPalliative careContext (archaeology)Qualitative researchPain medicineQuality of life (healthcare)Family caregiversQuality (philosophy)MEDLINE

Abstract

fetched live from OpenAlex

INTRODUCTION: A greater dependency on informal home-based caregivers to assist patients in their homes stems from Rwanda's rising palliative care needs and the burden of terminal illnesses. These caregivers play a critical role in addressing patients' physical and emotional needs and assisting with daily activities. However, in low-resource settings like Rwanda, limited attention has been given to understanding their lived experiences and the challenges they face. This study primarily aimed to explore the lived experiences and caregiving challenges of informal home-based caregivers providing palliative care. A secondary aim was to describe the range of life-threatening conditions being managed at home under their care. METHODS: A qualitative descriptive study design was used to gain in-depth insights into the common palliative conditions managed at home, the caregiving practices employed, and the challenges experienced by informal caregivers. Twenty (20) participants were purposively selected from Nyamasheke and Rusizi districts in Rwanda, all of whom were providing home-based care to terminally ill patients. Data were collected through in-depth individual interviews and analyzed thematically using open coding in Atlas.ti software. RESULTS: Informal home-based Caregivers managed an assortment of chronic and life-threatening illnesses, assuming challenging responsibilities like medication administration, wound care, mobility assistance, and emotional support. Analysis revealed a hierarchy of interrelated themes reflecting the multifaceted challenges of caregiving. These included Caregiver Burden, Financial and Material Constraints, and Structural and Systemic Challenges, each underscoring the intense physical, emotional, and logistical demands Informal home-based caregivers faced. Additional themes such as the Lived Experience of Illness, Coping Mechanisms, and Community and Informal Support highlighted how caregivers navigated these pressures, often with limited guidance or resources. Finally, the theme of Recommendations for Support emerged, offering insight into potential interventions to better assist caregivers. These themes were consistent across caregiving contexts, regardless of the specific illness involved. CONCLUSION: Unspecified wound cancer with multiple chronic diseases and advanced illnesses together with hypertension and stroke complications are among the major palliative conditions reported and managed at home. Informal home-based caregivers face substantial responsibilities and numerous challenges during the provision of palliative care at home. Caregiving in this context remains undervalued and under-supported. There is an urgent need for targeted support systems and policy reforms to strengthen home based caregiver to improve the quality of life of home-based caregivers in Rwanda.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.098
GPT teacher head0.426
Teacher spread0.328 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations5
Published2025
Admission routes1
Has abstractyes

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