An Evaluation by Elderly People Living at Home of the Prepared Meals Distributed by Their Municipality – A Study With Focus on the Swedish Context
Bibliographic record
Abstract
Prepared meals distributed by municipalities is a service to elderly people, or persons with health related impairments, who live in their own home, have difficulties preparing their own food and cannot meet their food requirements in any other way. This study aimed to provide a brief picture of how elderly people living at home perceive the food they receive through their municipal food service and what is important to them. The data was collected using questionnaires. 274 out of 276 participants answered the questionnaire (n=173 women 62% and n=101 man 37%). The data was analyzed using Principal Component Analysis (PCA). The results showed that the elderly persons receiving meals through the service were often satisfied, especially with the size of the portions and the delivery time. Those who had been using the food delivery service for a longer time were not satisfied with the alternative dishes they were been offered. There was no significant difference between the views of either gender. Further, those who were receiving special food were, in general, unsatisfied with the meals delivered. Development of the food distribution service by systematic quality insurance and interactive knowledge exchange between the producers and consumers seems to be a way to promote a more holistic and individual adjusted service. Evaluation of the municipal FD service is a powerful tool that can contribute to the development of this service. The food service can be improved and consequently even the quality of life and health of its receivers. The present survey should be revisited and developed in order to detect differences between genders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".