218 DEVELOPING CONSENSUS-BASED INTEGRATED NUTRITION CARE PATHWAYS TO PREVENT, IDENTIFY AND MANAGE MALNUTRITION IN IRELAND
Bibliographic record
Abstract
Abstract Background The expected policy and standards of nutritional care in acute settings in Ireland has recently been developed (Department of Health, 2020). Based on these and international guidelines, integrated care pathways have been proposed by a panel of experts for (i) the transition of nutrition care of adult patients (>18 years) from hospital to community and, (ii) screening and identifying nutrition risk among community dwelling older adults (>65 years). The purpose of this study was to develop a consensus amongst diverse stakeholders for the proposed integrated nutrition care pathways. Methods A cross-sectional online survey collected data to identify pathway practices for retention. The survey was adapted to the Irish context based on previous research. Relevant stakeholders including healthcare professionals working in hospital, community and primary care, general practitioners, nurses, registered dietitians, healthcare workers from voluntary community services, and patients/patient advocates were recruited. Participants responded on the relevance and importance of discreet care practices in the proposed Nutrition Care Pathway and a consensus was set at ≥ 80%. Results Ninety-seven healthcare professionals and eight patient/patient advocates completed the survey. There was no response from healthcare workers from voluntary community services. Most of the discreet care practices gained consensus ratings ≥80% from healthcare professionals. Among the patient/patient advocates, only 3 pathway elements gained consensus ≥80%. Conclusion Healthcare professionals’ agreement with the relevance and importance of the proposed integrated nutrition care pathways offer guidance to prevent, identify, and manage malnutrition among older adults transitioning between care settings or living at home. The opinion of patients/patient advocates and healthcare workers of voluntary community services providers requires further engagement using alternative methodologies.
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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 | 0.084 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".