In-House Pureed Food Production in Long-Term Care: Perspectives of Dietary Staff and Implications for Improvement
Bibliographic record
Abstract
Texture modification of foods to a pureed consistency is a common management approach for older adults with dysphagia. Long-term care (LTC) facilities commonly produce some pureed food in-house. This study investigated challenges and preferred practices associated with the production of pureed food in LTC facilities. Nutrition Managers (n = 27) and cooks (n = 26) from 25 Ontario LTC facilities were recruited for one-on-one, semistructured interviews. Interviews were digitally recorded, transcribed, and analyzed using inductive thematic analysis. Four themes arose from the data to exemplify challenges in production, including (a) difficulty in using standardized recipes, (b) varied interpretation of governmental guidelines, (c) lack of consistency in terminology and texture, and (d) wanting to improve the visual appeal. These challenges were reported to reduce the quality of in-house produced pureed food. Preferred practices to overcome these challenges were also provided by participants, such as involving cooks in pureed recipe improvements and tailoring to the specific needs of residents. Incorporation of these practices into pureed food production may help to shape and improve future practice and pureed food products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".