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Record W2332488935 · doi:10.1177/0008417414527257

The experience of urinary incontinence in stroke survivors: A follow-up qualitative study

2014· article· en· W2332488935 on OpenAlexvenueno aff
Jennifer White, Kate Patterson, Louise-Anne Jordan, Parker Magin, John Attia, Jonathan Sturm

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2014
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsUrinary incontinenceThematic analysisContext (archaeology)Qualitative researchMedicineDistressToiletingPopulationStroke (engine)PsychologyNursingGerontologyActivities of daily livingPhysical therapyClinical psychologySociologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: No previous qualitative exploration of urinary incontinence (UI) or post-stroke urinary incontinence (PSUI) has been undertaken in an Australian population. PURPOSE: The purpose of this study is to explore the experiences of community-dwelling stroke survivors who were living with UI/PSUI and understand how context shaped those experiences. METHODS: A pragmatic approach using thematic analysis was employed for this study. FINDINGS: Four themes emerged from the data: "I've got to go": onset and daily experience of UI; "No one ever mentioned it": lack of advice and information from the health system; "You can't enjoy something if you've got to go the toilet": experience of occupational restrictions; and "It's just a matter of planning": management strategies. IMPLICATIONS: UI continued well beyond discharge and was shaped by limited advice, distress, and role loss. Occupational therapists are encouraged to engage in assessment, management, and treatment of UI, including the provision of education that promotes continence, attenuates negative experiences, and enhances community participation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.004
Scholarly communication0.0030.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.078
GPT teacher head0.393
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations22
Published2014
Admission routes1
Has abstractyes

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