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Record W4377968810 · doi:10.1093/jsxmed/qdad061.027

(027) Considerations of Mid-Urethral Sling Procedures: Patient and Provider Perspectives on Outcomes and Experiences

2023· article· en· W4377968810 on OpenAlexaff
Diane Tomalty, Olivia Giovannetti, Sara Greco, Barry R. Komisaruk, Johanna L. Hannan, S. Goldstein, Irwin Goldstein, Michael A. Adams

Bibliographic record

VenueThe Journal of Sexual Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineUrinary incontinenceQualitative researchSexual functionSling (weapon)Patient experienceFamily medicineHealth careSurgery

Abstract

fetched live from OpenAlex

Abstract Introduction The mid-urethral sling procedure (MUSP) treats symptoms of stress urinary incontinence. Recent studies have identified the potential for negative outcomes following MUSP; however, there is a limited understanding of the patient and healthcare provider perspectives on procedural experiences and outcomes. Specifically, there is discordance surrounding the role of female periurethral tissue in sexual responses, and limited knowledge of post-MUSP outcomes and symptoms as perceived by patients. Further understanding of current counselling and resource practices is needed, especially regarding informed consent and risk disclosure. Objective To investigate the experiences associated with MUSP from patients who have reported bothersome symptoms following MUSP, and from providers who routinely perform the procedure. Furthermore, to characterize recent patient experiences, explore factors which may influence current provider decision-making, and outline patient-used and provider-recommended counselling and resources. Methods Patients (n=10) who underwent MUSP and reported negative outcomes, and providers (n=22) with experience performing MUSP were recruited. Patients first completed an online survey which captured demographic information, medical history, and sexual function. Both patients and providers completed semi-structured interviews relating to MUSP outcomes and experiences. Interview responses were transcribed using Trint, and qualitative analyses were completed using NVivo 12. Results Perspectives and experiences gathered from patient and provider interviews revealed discordant narrative surrounding MUSP outcomes and treatment. Analysis of patient narratives revealed a unique symptom profile including periurethral pain and numbness, altered lubrication and loss of desire. In addition, patients discussed post-MUSP infections, as well as pain, weakness, and lower limb impairment having impacts on and extending to other aspects of life, including social relationships, work obligations, and day-to-day responsibilities. Patients described a preference for informed pre-procedural care, and supportive and comprehensive post-procedural counselling. Provider narratives revealed aims of fostering open discussions and efforts to offer procedural support. However, providers referenced limitations in time, experience, and understanding of the adverse outcome symptom profile. Further, regarding post-procedural care, both providers and patients discussed limitations in currently available counselling routes and resources. Conclusions The results of this study highlight discordance between the perceptions of patients and providers regarding MUSP outcomes and experiences. There are differences in the understanding of post-MUSP negative outcome experiences as perceived by patients, compared to providers. These findings support the need for improvements in post-MUSP support and targeted counselling, and resources. Differences in the knowledge of symptoms and negative outcome experiences as related to sexual function are emphasized in this context, highlighting, and encouraging the need for improvements in clinical practice which includes sexual health conversations and accessible resources. Disclosure No

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)0.005
metaresearch head score (Gemma)0.009
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.034
GPT teacher head0.327
Teacher spread0.292 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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