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Record W3154996988 · doi:10.21203/rs.3.rs-402659/v1

What Determines the Final Place of Care of Advanced Cancer Patients Receiving Integrated Home-based Palliative Care?: a Retrospective Cohort Study

2021· preprint· en· W3154996988 on OpenAlexaboutno aff
Riyin Tay, Rozenne W. K. Choo, WahYing Ong, Allyn YM Hum

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersInnovative Research Group Project of the National Natural Science Foundation of China
KeywordsPalliative careMedicineConcordanceLogistic regressionRetrospective cohort studyOddsAdvance care planningCohortOdds ratioMultivariate analysisEnd-of-life careCancerPlace of deathFamily medicineEmergency medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

Abstract Background Meeting patients' preferences for place of care at the end-of-life is an indicator of quality palliative care. Understanding the elements required for terminal care within an integrated model may inform policy and practice to increase the likelihood of meeting preferences. Hence, this study aims to identify factors associated with the final place of care of advanced cancer patients receiving integrated home-based palliative care.MethodsThis retrospective cohort study included deceased adult advanced cancer patients enrolled into the home-based service from January 2016-December 2018. Patients with <2 weeks enrolment or ≤1-week duration at the final place of care were excluded. Independent variables included patients’ and families’ characteristics, care preferences, healthcare utilization, functional status and symptom severity assessed using the Palliative Performance Scale (PPSv2) and the Edmonton Symptom Assessment System respectively. The dependent variable was the final place of care. Multivariate logistic regression identified independent determinants and Kappa value evaluated goal-concordance.ResultsOf the 359 eligible patients, home was the most common final place of care (58.2%), followed by inpatient hospice (23.7%) and hospital (16.7%). Single or divorced patients with older family caregivers had a 5.5 (95% CI:1.1-27.8) and 3.1 (95% CI:1.1-8.8) odds respectively of receiving terminal care in inpatient hospice. A PPSv2≥40% and pain score ≥2 increased the odds by 9.1 (95% CI:3.3-24.8) and 3.6 (95% CI:1.3-9.8) times respectively, while non-home death preference increased it by 23.8 (95% CI:5.4-105.1) times. In predicting hospitalization, males had a 3.2 (95% CI:1.0-9.9) odds while a PPSv2≥40% and pain score ≥2 increased the odds by 8.6 (95% CI:2.9-26.0) and 3.5 (95% CI:1.2-10.3) times respectively. Non-home death preference increased it by 9.8 (95% CI:2.1-46.3) times, all p<0.05. Goal-concordance was fair (72.6%, kappa=0.39).ConclusionsHigher functional status, greater pain intensity and non-home death preference predicted institutionalization as the final place of care. Additionally, single or divorced patients with older family caregivers were more likely to receive terminal care in inpatient hospice while males were more likely to be hospitalized. Despite an integrated care model, goal-concordance was suboptimal. More comprehensive community networks and resources, better pain control and personalized care planning discussions are recommended. Future research could examine factors in non-cancer patients.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.127
GPT teacher head0.484
Teacher spread0.357 · 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 designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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