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Record W1974990443 · doi:10.1185/03007995.2014.918028

Assessment of treatment-seeking behavior and healthcare utilization in an international cohort of subjects with overactive bladder

2014· article· en· W1974990443 on OpenAlexaff
Miguel Ángel Jiménez-Cidre, P. Costa, Daisy Ng‐Mak, Arun Sahai, Arnold Degboe, Christopher P. Smith, Kathleen Tsai, Sender Herschorn

Bibliographic record

VenueCurrent Medical Research and Opinion · 2014
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersAllergan
KeywordsMedicineOveractive bladderDemographicsUrinary incontinenceCohortHealth careUrge incontinenceInternal medicinePhysical therapyUrinary systemDemographyUrologyAlternative medicine

Abstract

fetched live from OpenAlex

UNLABELLED: Abstract Objective: To assess the association between incontinence severity, treatment-seeking behavior, and healthcare resource utilization (HRU) among participants with overactive bladder (OAB) in eight countries. RESEARCH DESIGN AND METHODS: A cross-sectional online survey of subjects ≥18 years old in Australia, Europe, and North America, who had a past OAB diagnosis and/or experienced ≥1 urinary incontinence (UI) episode in the preceding 12 months, were eligible to participate. Subjects contacted for the survey were primarily from a voluntary medication monitoring registry, MediGuard. Predominantly stress incontinence subjects were excluded. Incontinence severity was assessed by the number of UI episodes over 3 days and grouped as 0 ('dry'), 1-2, 3-4, and ≥5 UI episodes/day. Subject demographics, employment status, comorbidities, treatment-seeking behavior (past OAB diagnosis; spoken to healthcare provider [HCP]), and HRU (diagnostic tests; HCP visits in 6 months before screening) were analyzed by incontinence severity. RESULTS: Overall, 1341 subjects with OAB (mean age 54.5 years; 70.7% female) were surveyed; 20.2%, 47.7%, 18.8%, and 13.3% of subjects reported 0, 1-2, 3-4, and ≥5 UI episodes/day, respectively. Employment status and comorbidities were significantly (p < 0.05) associated with incontinence severity. The two measures of treatment-seeking behavior were significantly (p < 0.05) associated with incontinence severity groups; the proportion of subjects with a past diagnosis of OAB were 35.8%, 44.8%, 52.4%, and 64.0% in the 0, 1-2, 3-4, and ≥5 UI episodes/day groups, respectively; and 59.0%, 63.6%, 65.9%, and 78.1% of subjects in the respective UI severity groups talked to a HCP about their OAB symptoms. Multivariate linear regression analyses showed a positive and consistent association between incontinence severity and HRU; subjects reported a mean of 2.7, 4.1, 4.4, and 7.7 diagnostic tests overall (p < 0.001), and a mean of 1.4, 2.2, 2.7, and 4.0 HCP visits in the 0, 1-2, 3-4, and ≥5 UI episodes/day groups, respectively (p < 0.001). A potential limitation of the study is the cross-sectional survey methodology which limits the ability to draw causal inferences from the results. Additionally, since this is a web-based survey it is possible respondents who have access to/are familiar with technology were more likely to be enrolled. CONCLUSIONS: Incontinence severity was positively associated with both treatment-seeking behavior and HRU among subjects with OAB.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.163
GPT teacher head0.520
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2014
Admission routes1
Has abstractyes

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