Fall/Fracture-Related Healthcare Costs and Their Association with Cumulative Anticholinergic Burden in People with Overactive Bladder
Bibliographic record
Abstract
BACKGROUND: Falls/fractures are major causes of morbidity and mortality among older adults and the resulting health consequences generate a substantial economic burden. Risk factors are numerous and include overactive bladder (OAB) and anticholinergic use. OBJECTIVES: We aimed to estimate the impact of falls/fractures on all-cause healthcare resource utilization and costs, according to levels of cumulative anticholinergic burden, among individuals with OAB. METHODS: Among a US cohort of adults with OAB (identified based on medical claims for OAB or OAB-specific medications), the frequency of resource utilization (outpatients visits, medication use, and hospitalizations) was examined according to level of anticholinergic burden. Anticholinergic burden was assessed cumulatively using a published measure, and categorized as no, low, medium, or high. Resource utilization prior to and after a fall/fracture was compared. Generalized linear models were used to examine overall and incremental changes in healthcare resource utilization and costs by fall/fracture status, and annual costs were predicted according to age, sex, fall/fracture status, and level of anticholinergic burden. RESULTS: The mean age of the OAB cohort (n = 154,432) was 56 years, 68% were female, and baseline mean anticholinergic burden was 266.7 (i.e. a medium level of burden); a fall/fracture was experienced by 9.9% of the cohort. All estimates of resource utilization were higher among those with higher levels of anticholinergic burden, regardless of fall/fracture status, and higher for all levels of anticholinergic burden after a fall/fracture. Among those with a fall/fracture, the highest predicted annual costs were observed among those aged 66-75 years with high anticholinergic burden (US$22,408 for males, US$22,752 for females). CONCLUSIONS: Falls/fractures were associated with higher costs, which increased with increasing anticholinergic burden.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".