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Women’s experiences with vaginal pessary use

2009· article· en· W2045457338 on OpenAlexaffabout
Sandra Storey, Megan Aston, Sheri Price, Linda Irving, Erin Hemmens

Bibliographic record

VenueJournal of Advanced Nursing · 2009
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsDalhousie UniversityNova Scotia Health AuthorityIzaak Walton Killam Health Centre
Fundersnot available
KeywordsPessaryMedicineObstetricsGynecology

Abstract

fetched live from OpenAlex

TITLE: Women's experiences with vaginal pessary use. AIM: This paper is a report of a study of the lived experiences of women using vaginal pessaries for the treatment of urinary incontinence (UI) and/or pelvic organ prolapse. BACKGROUND: The use of a vaginal pessary offers a non-surgical treatment option to provide physical support to the bladder and internal organs. As the literature asserts, a woman's choice to use a pessary is very individual and involves not only physical, but also psychological and emotional considerations. METHOD: Narrative inquiry was used to conduct face-to-face semi-structured interviews in 2007 with 11 postmenopausal women who accessed services from a Urogynecology Clinic in Eastern Canada. FINDINGS: The women's stories revealed that living with a pessary is a life-changing experience and an ongoing learning process. The women's comfort level and confidence in caring for the device figured prominently in their experiences. Psychosocial support provided by the clinic nurses also played a primary role in the women's experiences. CONCLUSION: Women and healthcare professionals need to be aware of the personal isolation and embarrassment, and social and cultural implications that urinary incontinence may cause as well as the subjective experiences of using a pessary. With appropriate support, vaginal pessaries can provide women with the freedom to lead active, engaged and social lives.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.359

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 communication0.0000.001
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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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 designOther design
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

Citations37
Published2009
Admission routes2
Has abstractyes

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