MétaCan
Menu
Back to cohort
Record W4292834773 · doi:10.1177/08258597221120707

Gender Disparities in End of Life Care: A Scoping Review

2022· review· en· W4292834773 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Palliative Care · 2022
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsPalliative careChecklistThematic analysisMEDLINEEnd-of-life careNursingGrey literatureInclusion (mineral)NiceGender equityPsychologySystematic reviewQualitative researchContext (archaeology)MedicineGerontologyFamily medicineSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Objective: Traditional gender norms and expectations may disproportionately constrain in-home palliative care received by women. This scoping review aims to canvass and evaluate the literature on gender disparities in end of life care and explore relevant themes that could inform future research and practice. Methods: A systematic search of MEDLINE, OVID, COCHRANE, and EMBASE was conducted using MeSH terms palliative care, palliative medicine, terminal care, or hospice care, combined with gender equity, sex factors, sexism, or gender disparities. Articles were limited to those in English (2010 to 2021), focusing on end of life care, gender roles, patients, and caregivers. Results: Of 624 articles identified, 15 met inclusion criteria for critical appraisal using the AMSTAR checklist for systematic reviews and NICE guidelines for quantitative and qualitative studies. Most studies were of poor to moderate quality. Thematic analyses identified 6 major themes related to gender disparities: living situation, symptom experience, care context, care preferences, caregiving, and coping strategies. Conclusion: Larger scale research of better quality is needed to fully characterize gender disparities in end of life care and understand how physicians might mitigate these disparities by building awareness of personal gender biases, providing support to families, educating them, and initiating care discussions that overturn traditional and stereotypic gendered expectations.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.404
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.356
GPT teacher head0.509
Teacher spread0.153 · 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