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Enregistrement W4399793195 · doi:10.1093/jsxmed/qdae054.081

(086) MEDICAL GASLIGHTING AND VULVOVAGINAL PAIN DISORDERS

2024· article· en· W4399793195 sur OpenAlexaff
Chailee Moss, G Skovronsky, J Holloway, S Lorenzini, I Kopits, Mollie Rieff, Lloyd G. Mitchell, J Krapf, A Goldstein

Notice bibliographique

RevueThe Journal of Sexual Medicine · 2024
Typearticle
Langueen
DomainePsychology
ThématiqueOptimism, Hope, and Well-being
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésVulvodyniaInjusticeFibromyalgiaReferralContext (archaeology)MedicineFamily medicinePelvic painPsychologyPsychiatrySocial psychologySurgery

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Gaslighting is a form of epistemic injustice that involves testimonial injustice, in which patient’s experiences are discounted by others. The incidence of epistemic injustice has been described in a number of pain conditions including chronic fatigue syndrome and fibromyalgia, as well as in marginalized obstetric populations. Little research has been directed towards epistemic injustice in populations seeking treatment for benign gynecologic conditions or the unique context of vulvovaginal pain conditions. Additionally, little is known about the consequence of this type of injustice on patient’s perception of their care or willingness to seek care. Objective The purpose of this study was to develop a patient-validated instrument to measure patient experience of epistemic injustice in their past gynecologic care and to use the instrument to explore patient experiences in a vulvovaginal pain referral center. Methods An instrument was designed by the study team to quantify the incidence and distressed caused by gaslighting in patients seek care for vulvovaginal pain conditions. This was created based on common themes from written testimonials of patients available from National Vulvodynia Association. After construction, the instrument was submitted for feedback to officers from two vulvovaginal pain disorder patient societies. The survey was modified to include the feedback from these sources. The survey was then completed by patients establishing care with the clinic prior to their first appointment. Results 187 patients completed the survey in part or in full. Patients reported having seen an average of 5.7 providers prior to presentation. Patients felt supported by only 42% of past providers. Patients felt belittled by 27% of past providers. Patients felt 21% of past providers did not believe their symptoms. 45% of patients were told they “just needed to relax more”; 18% percent were recommended to drink alcohol to improve their condition; 55% considered giving up seeking care because they felt their concerns were not being addressed; 31% were told their symptoms were caused by high levels of anxiety; 22% were referred to psychiatry without other medical treatment for their symptoms; 19% felt unsafe during a medical encounter. 39% percent of patients were made to feel they were “crazy” and this was the most distressing of the questions asked (average 7.3/10 on a likert scale for distress for patients who had experienced this). Conclusions A survey based on patient concerns and validated by patients affected by vulvovaginal pain conditions has not been previously reported. This instrument was applied to a patient population at a large referral center for vulvovaginal pain conditions and the results showed that patients commonly experienced many forms of epistemic injustice, and greater than half of patients consider cessation of care for their condition because of these experiences. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Dr. Jill Krapf is a medical advisor for Evvy. Dr. Andrew Goldstein is a part time Employee of Daré Bioscience. He is a member of the board of directors of The Gynecologic Cancers Research Foundation. He is an advisor for: AbbVie, Incyte, and the National Vulvodynia Association. He has received research funding from Incyte.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,823
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,325
Écart entre enseignants0,312 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2024
Routes d'admission1
Résumé présentoui

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