NITES, a nocturnal bladder score to aid diagnosis during the transition to older age care
Bibliographic record
Abstract
BACKGROUND: As adults transition to older age, bothersome nocturnal lower urinary tract symptoms (LUTS) become common. There is need for a reliable assessment metric to detect and measure specific symptoms. OBJECTIVE: To subject the nocturnal LUTS score for older individuals, Nocturia, Incontinence, Toileting and Enuresis Symptom Score (NITES), to psychometric analysis. MATERIAL AND METHODS: Factor analysis of the metric was conducted with completed questionnaires from 151 older individuals who were either admitted to a tertiary hospital or attending an outpatient continence clinic. Test re-test reliability involved 18 older community dwelling individuals attending a Geriatrician clinic completing the metric at two timepoints separated by at least 1 week. Intra-class correlation coefficients were determined for reliability of each factor and item. RESULTS: The NITES metric was completed by 98 hospitalized older individuals and 53 attending a continence clinic (mean age 83.2 years [SD 7.0]). Factor analysis demonstrated that one item had a floor effect and two items had poor endorsement. After test re-test reliability analysis, a further three items were removed: one due to poor correlation between timepoints and two demonstrating inadequate internal consistency. The final NITES metric is comprised of three factors: Sleep 4-items, Incontinence 4-items, and Personal Bother 2-items. A 4-item short form for symptom screening was extracted from the longer measure. CONCLUSION: The final NITES metric is a 10-item questionnaire with an embedded 4-item short symptom screen. It has utility utilized to detect nocturnal bladder symptoms in both community dwelling and hospitalized older adults.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".