Eliciting Help-Seeking Behaviors in Patients With Fecal Incontinence
Bibliographic record
Abstract
People with fecal incontinence (FI) symptoms often do not report their symptoms to their care providers, which may adversely impact their quality of life. Although the differential diagnosis for the cause of an individual's FI symptoms can be done by a family doctor, nurse practitioner, or a specialist, many other healthcare professionals have the training and education to competently screen patients for FI risk factors. Those individuals identified with FI symptoms can be supported to disclose this information to their healthcare professional in a timely manner. Healthcare professionals have a responsibility to encourage patients to seek medical treatment in order to ensure an accurate diagnosis for their FI symptoms, and to support clients through the process of managing symptoms including adhering to care plans to mitigate modifiable causes of FI. When clients actively seek medical help, it is referred to as help-seeking behavior. Given the sensitive nature of FI, with the associated stigma and taboo surrounding the topic, healthcare providers must conscientiously work to support each client with sensitivity and self-awareness.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".