Higher quality nutrition care process documentation predicts nutrition diagnosis improvement in the Academy of Nutrition and Dietetics breastfeeding registry study
Bibliographic record
Abstract
Introduction Registered dietitian nutritionists (RDNs) provide medical nutrition therapy (MNT) to improve public health outcomes, yet RDNs impact on breastfeeding outcomes remains underexplored. The Breastfeeding Registry Study addresses this gap by examining MNT provided to breastfeeding infants. This study describes Nutrition Care Process (NCP) documentation patterns, evaluates documentation quality, and reports nutrition diagnosis improvement, goal attainment, and outcomes predictors. Methods This prospective, observational study included documentation from breastfeeding infants ( n = 92) from July 2020 to June 2024 using the Academy of Nutrition and Dietetics Health Informatics Infrastructure. The primary outcome was breastfeeding duration. Frequencies of documented NCP terminology, impactful care plans, and nutrition diagnosis improvement were assessed. Documentation quality was evaluated using the NCP Quality Evaluation and Standardization Tool (NCP-QUEST). Mixed-effects logistic regression was used to identify predictors of improved outcomes. Results Duration of any breastfeeding averaged 34.2 ± 7.5 (mean ± SD) days ( n = 10), although documentation of this indicator was poor. The most frequent etiology was breastfeeding difficulty (18%). Common intervention categories were Food and/or Nutrient Delivery (46%) and Coordination of Nutrition Care (43%). At reassessment, 68% of diagnoses improved, with the highest rates for breastfeeding difficulty (55%), predicted breastfeeding difficulty (83%), inadequate vitamin D intake (83%), and underweight (83%). NCP-QUEST score (OR = 1.58, 95% CI [1.02, 2.45] p = 0.042) and frequency of registered dietitian visits (OR = 1.77, 95% CI [0.34, 0.9.33] p = 0.049) predicted diagnosis improvement. Discussion Higher-quality documentation and more RDN visits were associated with improvements in breastfeeding infants' nutrition diagnoses. This is the first known study to describe comprehensive care plans delivered by RDNs that improved prevalent lactation-related nutrition problems and to propose standards for documenting breastfeeding care data in alignment with global breastfeeding standards.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".