Incorporating handgrip strength examination into dietetic practice: A quality improvement project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Protein-energy malnutrition is both prevalent and costly within the inpatient rehabilitation population. Registered dietitians play a key role in identifying, diagnosing, and treating protein-energy malnutrition. Handgrip strength has been shown to correlate with clinical outcomes, including malnutrition. Reduced handgrip strength is included as a criterion in national and international consensus guidelines of malnutrition diagnoses for functional changes. However, limited research and quality improvement projects have reported on its actual use in the clinical setting. The purpose of this quality improvement project was to (1) implement handgrip strength testing into dietitian care on three inpatient rehabilitation units to allow dietitians to identify and treat nutrition-related muscle function losses and (2) evaluate the feasibility, clinical utility, and clinical impact of this project. This quality improvement educational intervention demonstrated that handgrip strength is feasible, does not impact dietitian efficiency, and is clinically useful. Dietitians reported three areas in which handgrip strength provided value: assessing nutrition status, motivating patients, and monitoring responses to nutrition interventions. Specifically, they were able to shift away from focusing solely on change in weight to focusing on functional ability and strength. Although outcome measures demonstrated favorable outcomes, the results must be interpreted cautiously because of the small sample and pre-post uncontrolled design. Further high-quality research is required to provide more in-depth information on the utility and limitations of handgrip strength as an assessment, motivational, and monitoring tool for clinical dietetics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it