How Long Does It Take to Assess Literacy Skills in Clinical Practice?
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
BACKGROUND: Health literacy screening is often not performed in clinical settings. One possible reason is the concern about the time involved in performing such assessments. Our objective was to measure the time required to administer the Newest Vital Sign (NVS) literacy assessment instrument to English-speaking primary care patients. METHODS: The NVS was administered to 78 consecutive English-speaking patients in an outpatient primary care clinic. The length of time to complete the NVS was timed with a stopwatch. RESULTS: The average time to complete the NVS was 2.9 minutes (95% confidence limit, 2.6-3.1 min). CONCLUSION: The NVS is a health literacy screening tool of sufficient brevity to be considered for use in primary care practices.
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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 | 0.014 | 0.019 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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