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Record W2022891187 · doi:10.1177/0733464802250045

Resident and Staff Ratings of Foodservices in Long-Term Care: Implications for Autonomy and Quality of Life

2003· article· en· W2022891187 on OpenAlexaffabout
Gale E. West, Denise Ouellet, Stéphanie Ouellette

Bibliographic record

VenueJournal of Applied Gerontology · 2003
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsMontreal General HospitalUniversité Laval
Fundersnot available
KeywordsAutonomyNursing homesLong-term careQuality of life (healthcare)GerontologyPsychologyMalnutritionMedicineNursingEnvironmental health

Abstract

fetched live from OpenAlex

Foodservices contribute to the health status, quality of life, and autonomy of long-term care (LTC) residents, yet malnutrition is prevalent. To improve nutritional status, LTC facilities should determine which aspects of foodservices are important to residents and which provoke the most dissatisfaction. Because staff control foodservices, it is equally important to examine their beliefs. Data were collected from nine LTC facilities in Quebec. Means and t tests of differences between residents' (n = 69) and staff 's (n = 52) mean importance and satisfaction rankings of 29 foodservice items are presented. Although residents rated foodservice choice and autonomy items lower in importance, these items were generally less satisfied. Staff consistently overrated both importance and satisfaction among residents. Specific recommendations for foodservice quality improvements are discussed in relation to residents' quality of life, autonomy, and nutritional status.

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)0.003
metaresearch head score (Gemma)0.010
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 score0.092
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.084
GPT teacher head0.402
Teacher spread0.318 · 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

Citations46
Published2003
Admission routes2
Has abstractyes

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