Health-Related Quality of Life Correlates with Bladder and Bowel Dysfunction: the Need for a New Patient-Centered Questionnaire
Bibliographic record
Abstract
Background and Hypothesis: Children with voiding dysfunction (VD), such as incontinence or urinary frequency, may report lower quality of life (QOL) compared to their peers. QOL questionnaires which could be used in this population have several limitations. PinQ is a bladder-specific, health-related QOL questionnaire, but it was developed without stakeholder input and fails to separate symptoms from QOL. Kidscreen-10 is a generic QOL questionnaire. We aimed to understand how QOL captured using existing instruments correlates with VD severity in a cross-sectional study. We hypothesized that large differences in symptoms would correspond with large differences in bladder-specific QOL but small differences in generic QOL. Methods: We recruited children 8-18 years old with VD at a pediatric urology clinic (June-July 2023). VD included daytime incontinence, enuresis, frequency, urgency, and dysuria. We excluded children with severe developmental delay, anatomical urological abnormalities, or history ofurologic surgery. We captured demographics, symptoms (Vancouver Dysfunction Voiding Symptom Score, DVSS), and QOL (PinQ and Kidscreen-10). Questionnaire scores were compared to weighted means from previous studies. We calculated Spearman correlations and QOL differences corresponding with the reported 20-point range of DVSS scores. Results: Twenty children (11 girls) at a median age of 10 years old participated (Table 1). Mean DVSS score was 14, similar to previous studies (weighted mean: 15). PinQ scores had a moderate positive correlation with DVSS scores (r = 0.37) with a 20-point DVSS difference corresponding to a 24% difference in PinQ scores (Figure 1). Kidscreen-10 scores had a moderate negative correlation with DVSS scores (r = -0.33) with a 20-point DVSS difference corresponding to a 12% difference in Kidscreen-10 scores (Figure 2). Conclusions: Previously published QOL questionnaires have significant limitations, limiting their clinical use in the care of patients with VD. A new, patient-centered, highly specific, and sensitive healthrelated QOL questionnaire is needed.
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.
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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".