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Record W4405224798 · doi:10.1093/jsxmed/qdae161.041

(052) APPLICATION AND VALIDATION IN SPANISH OF THE “VULVAR PAIN SCREENING QUESTIONNAIRE” IN WOMEN WITH CHRONIC VULVAR PAIN

2024· article· en· W4405224798 on OpenAlexaboutno aff
Sebastião Aldo da Silva Valente, Facundo Gómez Cherey, Victoria Lucía Bolognessi, Paula Candela Soloa, Verónica Maldonado, Jhonatan Andrés Portes Ortíz

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePelvic painPhysical therapyGynecologySurgery

Abstract

fetched live from OpenAlex

Abstract Introduction Persistent vulvar pain without a clearly identifiable cause has a prevalence of 8-21%. However, many patients have difficulty obtaining a diagnosis. It is known that multiple factors participate in the painful process. In order to speed up treatment arrival, it is essential to have an effective tool to be able to evaluate and make a diagnosis by health professionals. The VPA-Q Questionnaire (Vulvar Pain Assessment Questionnaire) was developed in Canada to contribute to the evaluation and diagnosis of chronic vulvar pain, considering an altered subscale, an average value ≥2. Objective This study sought to adapt and validate the VPA-Q to a population of Argentine women. Methods The translation and cross-cultural adaptation was carried out according to the Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes (PRO) Measures guidelines. Once approved, validation was carried out in Argentina in a cohort of patients. 184 women were recruited and completed the FSFI (Female Sexual Function Index) questionnaire. 65 women presented the altered pain domain and were included in the study to complete the VPAQ-full (63 items). Statistical analysis: Epidemiological analysis of population variables was performed, internal consistency with Cronbach’s alpha in each subscale, a value >0.8 and p < 0.05 were considered significant. Results The average age was 53.1 (± 11.2) years, 90.8% were Argentine, 66.2% were married, 81.5% were menopausal. The predominant associated symptom was vaginal dryness (83.1%). 33.8% never looked at their vulva. 44.6% had pain for 2-5 years. 66.2% presented pain during sexual activity, 40% did not tolerate the entry of any object into the vulva. The reliability analyzes of the subscales were: Pain Severity (mean: 2.72; Cronbach’s α: 0.94), Emotional Response (mean: 1.78; Cronbach’s α: 0.96), Cognitive Response (mean: 1.17; Cronbach’s α: 0.89), Interference in life (mean: 1.04; Cronbach’s α: 0.95), Interference in sexual life (mean: 2.02; Cronbach’s α: 0.9), Interference in self-stimulation (mean: 1.03; Cronbach’s α: 0.86). Conclusions Exploratory and confirmatory factor analyzes demonstrated that the adapted version of the VPAQ-full, into Spanish, satisfactorily meets the validation requirements. Measuring and understanding vulvar pain and its impact on sexual, emotional and cognitive health is key to evaluating the sexual health and quality of life of women and their relationships. 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)0.007
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.279
Teacher spread0.259 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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