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Record W2408983579

Incontinence Quality of Life Instrument in a survey of primary care physicians.

2002· article· en· W2408983579 on OpenAlexaff
Timothy P. Daaleman, Bruce B. Frey, Stephanie A. Studenski

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineUrinary incontinenceQuality of life (healthcare)Physical therapyPrimary careGerontologyFamily medicineSurgeryNursing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the performance of the Incontinence Quality of Life (I-QOL) Instrument in measuring the impact of urinary incontinence on the quality of life of family medicine patients. STUDY DESIGN: Postal survey. Multiple imputations of missing answers. Linear regression analysis of I-QOL predictors. Comparison by receiver operating characteristic of the I-QOL and the Short Form 12 (SF-12). POPULATION: Women 45 years or older attending either of 2 family medicine clinics. Response rate was 605 (61%) of 992. OUTCOMES MEASURED: Prevalence of stress, urge, and mixed incontinence. Scores on the I-QOL and SF-12 instruments. RESULTS: Of the 605 respondents, 310 (51%) reported urinary incontinence in the month before the survey. One or more items were missing on 19% of the I-QOL scales and scores were imputed. The relation between I-QOL and the number of leakage episodes was nonlinear. I-QOL scores decreased with the number of episodes, the amount of leakage, and poorer general health. There was no association between the I-QOL and age, education, or type of incontinence. The I-QOL was more sensitive than the SF-12 to the statement, "urinary incontinence is a problem." CONCLUSIONS: The I-QOL is a useful instrument for the investigation of incontinence-related quality of life in the community setting.

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)0.000
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 score0.205
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.062
GPT teacher head0.259
Teacher spread0.196 · 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

Citations49
Published2002
Admission routes1
Has abstractyes

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