Family member eating assistance and food intake in long‐term care: A secondary data analysis of the M3 Study
Bibliographic record
Abstract
AIM: To determine if protein and energy intake is significantly associated with a family member providing eating assistance to residents in long-term care homes as compared with staff providing this assistance, when adjusting for other covariates. BACKGROUND: Who provides eating support has the potential to improve resident food intake. Little is known about family eating assistance and if this is associated with resident food intake in long-term care. DESIGN: Cross-sectional, secondary data analysis. METHODS: Between October and January 2016, multilevel data were collected from 32 long-term care homes across four Canadian provinces. Data included 3-day weighed/observed food intake, mealtime observations, physical dining room assessments, health record review, and staff report of care needs. Residents where family provided eating assistance were compared with residents who received staff-only assistance. Regression analysis determined the association of energy and protein intake with family eating assistance versus staff assistance while adjusting for covariates. RESULTS: Of those residents who required any physical eating assistance (N = 147), 38% (N = 56) had family assistance during at least one of nine meals observed. Residents who received family assistance (N = 56) and those who did not (N = 91) were statistically different in several of their physiological eating abilities. When adjusting for covariates, family assistance was associated with significantly higher consumption of protein and energy intake. CONCLUSION: Energy and protein intake is significantly higher when family provides eating assistance. Family are encouraged to provide this direct care if it is required. IMPACT: Residents who struggle with independent eating can benefit from dedicated support during mealtimes. Findings from this study provide empirical evidence that family eating assistance is associated with improved resident food intake and provides strong justification to encourage families to be active partners in the care and well-being of their relatives. Home administrators and nursing staff should support the specialized care that families can provide at mealtimes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".