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Record W4224309699 · doi:10.3390/ijerph19095179

“Broken”—How Identities as Women, Mothers and Partners Are Intertwined with the Experience of Living with and Seeking Treatment for Pelvic Organ Prolapse

2022· article· en· W4224309699 on OpenAlexaffabout
Kaylee Ramage, Ariel Ducey, Natalie V. Scime, Erin Knox, Erin A. Brennand

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePsychology

Abstract

fetched live from OpenAlex

Pelvic Organ Prolapse (POP) occurs when one or more pelvic organs descend into or through the vaginal opening, significantly impacting physical and mental health. POP affects the female reproductive tract and, overwhelmingly, people who identify as women. However, little research has examined the impact of gendered expectations on women's treatment-seeking for POP and their decision-making around surgery for POP. To address this gap, we conducted semi-structured interviews with 26 women seeking surgery for POP in Alberta, Canada. Data were analyzed from a gender-based lens, using the Framework Method. Participants reported the need to balance their identities as women, partners, and mothers in their pursuit of treatment and faced many barriers to treatment related to their gendered responsibilities. Findings highlight the gendered experiences of prolapse in the context of healthcare needs and can inform policies and practices which promote more equitable access to prolapse treatment.

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)0.008
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 score0.244
Threshold uncertainty score0.485

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.024
Scholarly communication0.0090.006
Open science0.0020.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.361
Teacher spread0.314 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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Same venueInternational Journal of Environmental Research and Public HealthSame topicPelvic floor disorders treatmentsFrench-language works237,207