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Record W4377941413 · doi:10.1093/jsxmed/qdad061.118

(123) Evaluation of a Vaginal Insert for Self-assessment of Endometriosis-associated Deep Dyspareunia

2023· article· en· W4377941413 on OpenAlexaff
R Macleod, Ghanshyam Parmar, Shetuan Zhang, Natasha L. Orr, Kate Wahl, Arianne Albert, Lori A. Brotto, Ryan Flannigan, Paul J. Yong

Bibliographic record

VenueThe Journal of Sexual Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsWomen's Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMedicineEndometriosisPelvic painGynecologyObstetricsCervixPelvic floorProspective cohort studyVaginaPhysical therapySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Among individuals with endometriosis, approximately 50% experience deep dyspareunia. There is a validated test to evaluate superficial dyspareunia (tampon test); however, no such test exists for deep dyspareunia. Thus, we conducted a pilot study to evaluate the use of a vaginal insert for self-assessment of deep dyspareunia. Objective To report test-retest reliability and validity of using a vaginal insert for self-assessment of deep dyspareunia in individuals with endometriosis. Methods This was a prospective cohort study embedded within a pilot RCT. Individuals with a surgical diagnosis of endometriosis aged 19-49, who had a clinic visit between January 2018 and December 2020 were recruited from a prospective data registry at a tertiary endometriosis and pelvic pain centre. Inclusion criteria were assigned female at birth, sexually active or not sexually active due to pain, monogamous partner who consents to participate, and deep dyspareunia score ≥ 4/10. Exclusion criteria were superficial dyspareunia ≥ 4/10, prior use of the intervention under investigation in the RCT, intense fear or anxiety around sexual activity, and severe levels of anxiety or depression on validated screening measures. Participants used the vaginal insert to self-assess tenderness at two time points, one week apart, using a numeric rating scale (0-10) at the right and left pelvic floor, bladder, cervix-uterus, and posterior cul-de-sac. Participants also used a daily diary to record deep dyspareunia severity (0-10) during intercourse over a four-week period. Test-retest reliability was evaluated by correlating tenderness scores between the two time points. Validity was assessed by correlating the vaginal insert tenderness scores with deep dyspareunia scores. Results Nineteen participants completed the study. The average age was 34 ± 7 years, and the majority of participants identified as female (n=18; 94.7%), heterosexual (n=17; 89.5%) and white (n=17;89.5%). Intraclass correlation coefficients for each site showed good test-retest reliability: left pelvic floor 0.79 (p = 0.001), right pelvic floor 0.82 (p < 0.001), bladder 0.54 (p = 0.07), cervix-uterus was 0.89 (p < 0.001), and the cul-de-sac 0.77 (p = 0.003). The strongest correlation between tenderness using the vaginal insert and deep dyspareunia scores was at the cervix-uterus (r=0.35); however, no statistically significant correlations were identified at any of the pelvic sites. Conclusions We found a strong correlation of tenderness scores between assessment dates (test-retest reliability), indicating that the vaginal insert may be a reliable method of assessing deep dyspareunia. A future study with larger sample size will be needed to study the correlations between tenderness assessed with the vaginal insert and prospective deep dyspareunia scores for evaluation of validity. Self-assessment of deep dyspareunia using a vaginal insert shows promise, and may support trauma-informed practice and the collection of ecologically valid data. Disclosure Yes, this is sponsored by industry/sponsor: OhNut Wearable - provided a discount on the silicon buffer used in the trial; ISSWSH Grant. Clarification: No industry support in study design or execution.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0120.002

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 head0.095
GPT teacher head0.433
Teacher spread0.338 · 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 designBench or experimental
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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