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Record W4401340715 · doi:10.1111/opn.12634

Factors Associated With the Initiation of Comfort‐Focused Nutrition Care Orders for Long‐Term Care Residents at End of Life

2024· article· en· W4401340715 on OpenAlexafffundabout
Jill Morrison, Albert Banerjee, George Heckman, Heather Keller

Bibliographic record

VenueInternational Journal of Older People Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsResearch Institute for AgingSt. Thomas UniversityUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsLong-term careTerm (time)NursingGerontologyPsychologyMedicineEnd-of-life careGerontological nursingPalliative care

Abstract

fetched live from OpenAlex

BACKGROUND: Comfort-focused nutrition orders are recommended to manage eating changes among long-term care (LTC) residents nearing the end of life, though little is known about their current use. This investigation aims to describe current practices and identify resident-level and time-dependent factors associated with comfort-focused nutrition orders in this context. METHODS: Data were retrospectively extracted from resident charts of decedents (≥65 years at death, admitted ≥6 months) in 18 LTC homes from two sampling frames across southern Ontario, Canada. Observations occurred at 6 months (baseline), 3 months, 1 month and 2 weeks prior to death. Extracted data included functional measures (e.g. cognitive performance, health instability) at baseline, formalised restorative and comfort-focused nutrition care interventions at each timepoint and eating changes reported in the progress notes in 2 weeks following each timepoint. Logistic regression and time-varying logistic regression models determined resident-level (e.g. functional characteristics) and time-dependent factors (e.g. eating changes) associated with receiving a comfort-focused nutrition order. RESULTS: Less than one-third (30.5%; n = 50) of 164 participants (61.0% female; mean age = 88.3 ± 7.5 years) received a comfort-focused nutrition order, whereas most (99%) received at least one restorative nutrition intervention to support oral food intake. Discontinuation of nutrition interventions was rare (8.5%). Comfort orders were more likely with health instability (OR [95% CI] = 4.35 [1.49, 13.76]), within 2 weeks of death (OR = 5.50 [1.70, 17.11]), when an end-of-life conversation had occurred since the previous timepoint (OR = 5.66 [2.83, 11.33]), with discontinued nutrition interventions (OR = 6.31 [1.75, 22.72]), with co-occurrence of other care plan modifications (OR = 1.48 [1.10, 1.98]) and with a greater number of eating changes (OR = 1.19 [1.02, 1.38]), especially dysphagia (OR = 2.59 [1.09, 6.17]), at the preceding timepoint. CONCLUSIONS: Comfort-focused nutrition orders were initiated for less than one-third of decedents and most often in the end stages of life, possibly representing missed opportunities to support the quality of life for this vulnerable population. An increase in eating changes, including new dysphagia, may signal a need for proactive end-of-life conversations involving comfort nutrition care options. IMPLICATIONS FOR PRACTICE: Early and open conversations with residents and family about potential eating changes and comfort-focused nutrition care options should be encouraged and planned for among geriatric nursing teams working in LTC. These conversations may be beneficial even as early as resident admission to the home.

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)0.009
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 score0.108
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.053
GPT teacher head0.372
Teacher spread0.319 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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