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Experiences of Care and Gaslighting in Patients With Vulvovaginal Disorders

2025· article· en· W4410207457 on OpenAlexaff
Chailee Moss, Arthi Chinna-Meyyappan, Gabriela Skovronsky, Jessica Holloway, S Lorenzini, Na''imah Muhammad, I Kopits, Sara Perelmuter, Leia Mitchell, Jill M. Krapf, Caroline F. Pukall, Andrew T. Goldstein

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsQueen's University
FundersStatens beredning för medicinsk och social utvärderingCelldex TherapeuticsNational Vulvodynia Association
KeywordsVulvodyniaMedicineReferralDistressFamily medicineDescriptive statisticsClinical psychologySurgeryPelvic pain

Abstract

fetched live from OpenAlex

Importance: Medical gaslighting, in which a patient's concerns are dismissed without proper evaluation, has been described anecdotally in vulvovaginal patient care, but has not been quantified. Objective: To use a patient-centered instrument to measure adverse experiences in vulvovaginal care. Design, Setting, and Participants: Common themes from National Vulvodynia Association patient testimonials were used to design a mixed-methods measure of patient experience that included both quantitative and qualitative questions. An instrument was created and submitted to officers from the National Vulvodynia Association and Tight-Lipped, another patient advocacy organization, for feedback. The measure was then completed by patients before their first appointment at a vulvovaginal disorder referral clinic from August 2023 to February 2024. Exposure: Participation in the survey. Main Outcomes and Measures: The primary outcome was the incidence of reported clinician behavior and consequent distress as reported on the survey instrument. Quantitative data were analyzed using simple descriptive statistics (mean [SD], median [IQR], and percentage). Narrative responses provided by patients were analyzed using the clinical-qualitative method for content analysis. Results: A total of 520 patients completed surveys; 5 were eliminated because the patient was younger than 18 years, 6 were eliminated for duplication, 6 were eliminated because they had no past clinician, and 56 were eliminated for completely blank responses. Thus, surveys of 447 patients (mean [SD] age, 41.7 [15.2] years) were analyzed (86% response rate). Patients had a mean (SD) of 5.50 (4.53) past clinicians. Patients reported that a mean (SD) of 43.5% (33.9%) of past practitioners were supportive, 26.6% (31.7%) were belittling, and 20.5% (30.9%) did not believe the patient. In total, 186 patients (41.6%) were told they just needed to relax more, 92 (20.6%) were recommended to drink alcohol, 236 (52.8%) considered ceasing care because their concerns were not addressed, 92 (20.6%) were referred to psychiatry without medical treatment, 72 (16.8%) felt unsafe during a medical encounter, and 176 (39.4%) said they were made to feel crazy, the most distressing surveyed behavior (rated at a mean [SD] of 7.39 [3.06] of 10 on a numerical rating scale of distress). A total of 1150 quotations were analyzed qualitatively; common themes included lack of clinician knowledge (247 quotations) and dismissive behaviors (211 quotations). Conclusions and Relevance: In this cross-sectional study, a patient-centered measure of adverse experiences in vulvovaginal care was developed. Participants reported common past experiences with gaslighting and substantial distress; they frequently considered ceasing care. There is an urgent need for education supporting a biopsychosocial, trauma-informed approach to vulvovaginal pain and continued development of validated instruments to quantify patient experiences.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.031
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.010
GPT teacher head0.303
Teacher spread0.293 · 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 teacher head, 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".

Quick stats

Citations13
Published2025
Admission routes1
Has abstractyes

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