A Patient-Centric Tool to Facilitate Goal Attainment Scaling in Neurogenic Bladder and Bowel Dysfunction: Path to Individualization
Bibliographic record
Abstract
OBJECTIVES: People with neurogenic bladder and/or bowel dysfunction experience diverse challenges that can be difficult to evaluate with standardized outcome measures. Goal attainment scaling (GAS) is an individualized, patient-centric outcome measure that enables patients/caregivers to identify and track their own treatment goals. Because creating goals de novo can be cumbersome, we aimed to develop a neurogenic bladder/bowel dysfunction goal menu to facilitate goal attainment scaling uptake and use. METHODS: We conducted a workshop with 6 expert clinicians to develop an initial menu. Individual interviews with 12 people living with neurogenic bladder and/or bowel dysfunction and 2 clinician panels with 5 additional experts aided us in refining the menu. A thematic framework analysis identified emergent themes for analysis and reporting. RESULTS: Interview participants were adults (median = 36 years, range 25-58), most with spinal cord injury (75%; 9/12). Of 24 goals identified initially, 2 (8%) were not endorsed and were removed, and 3 goals were added. Most participants listed "Impact on Life" goals (eg, Exercise, Emotional Well-Being) among their 5 most important goals (58%; 35/60). Three main themes emerged: challenges posed by incontinence, limitations on everyday life, and need for personalized care. CONCLUSIONS: We developed a clinical outcome assessment tool following a multistep process of representative stakeholder engagement. This patient-centric tool consists of 25 goals specific to people living with neurogenic bladder and/or bowel dysfunction. Asking people what matters most to them can identify important constructs that clinicians might have overlooked.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".