Factors affecting women’s decision between uterine-preserving versus hysterectomy-based surgery for pelvic organ prolapse
Bibliographic record
Abstract
BACKGROUND: Given the prevalence of women seeking surgical treatment for pelvic organ prolapse (POP), there is a need to understand women's decision-making regarding uterine-preserving versus hysterectomy-based surgeries. Historically, hysterectomy-based surgeries have been the preferred treatment for pelvic organ prolapse; however, contemporary evidence supports uterine-preserving surgeries as equivalent. At present, the lack of information available to the general public and limited options presented at surgical consultation for pelvic organ prolapse may hinder women's autonomy as they navigate surgical treatment. OBJECTIVES: To examine the factors affecting women's decision-making processes regarding uterine-preserving or hysterectomy-based surgery for pelvic organ prolapse. DESIGN: This is a qualitative study. METHODS: We conducted semi-structured, qualitative interviews with women seeking surgery for pelvic organ prolapse to explore the factors affecting women's decision-making between hysterectomy-based and uterine-preserving surgeries. RESULTS: Women (n = 26) used clinical and personal factors to determine which surgery was best. Women noted that the lack of evidence (clinical and/or anecdotal) available to them hindered their decision-making, causing them to rely more on their own interpretations of the evidence, what they perceived to be "normal," and what their surgeon recommended. Even with standardized discussion regarding the existing clinical equipoise between surgeries at the clinical consultation, some women still had misperceptions that hysterectomy-based surgery would convey the lowest risk of prolapse recurrence and be best for severe prolapse. CONCLUSION: There is a need for more transparency in discussions about prolapse and the factors affecting women's decision-making for surgical repair of pelvic organ prolapse. Clinicians should be prepared to offer the option of hysterectomy-based or uterine-preserving surgeries and to clearly explain the clinical equipoise between these procedures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".