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Record W2947872102 · doi:10.1016/j.jsxm.2019.03.544

106 Online Pelvic Floor Physical Therapy Group Program for Women with Persistent Genital Arousal Disorder: A Descriptive Feasibility Study

2019· article· en· W2947872102 on OpenAlexaff
Robyn A. Jackowich, Evelyn Hecht, Kayla M. Mooney

Bibliographic record

VenueThe Journal of Sexual Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSexual arousalSex organPopulationPhysical therapyPsychologyPelvic painMedicineSexual dysfunctionClinical psychologyPsychiatrySurgerySexual behavior

Abstract

fetched live from OpenAlex

Persistent genital arousal disorder (PGAD) is a highly distressing, and poorly understood condition characterized by physiological genital arousal (i.e., genital sensitivity and/or vascongestion) in the absence of subjective sexual desire. Currently there are no empirically-informed treatment options available to this population, despite the significant negative impact of the condition (Jackowich, Pink, Gordon, Poirier & Pukall, 2018). Few healthcare providers are knowledgeable about PGAD, making it challenging for individuals with PGAD to receive information and care. To determine the feasibility of an adapted physical therapy group educational program for vulvar pain conditions, to the specific needs of women with PGAD, in an online group format. Ethical approval was provided by [MASKED] University. A descriptive approach was undertaken to evaluate the feasibility of this group. A total of 12 women participated in the study (average age = 43.4 years, SD = 18.3, Range = 18-71). Phone screenings were conducted to confirm that individuals experienced PGAD (defined by its clinical presentation: Leiblum & Nathan, 2001). Women completed questionnaires prior to, immediately following, and 6-months following the group sessions. Participants also completed an anonymous feedback form. The group sessions were run by a registered physical therapist specializing in pain and pelvic floor health.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.057
GPT teacher head0.334
Teacher spread0.277 · 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 designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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