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Record W3084012445 · doi:10.1016/j.jsxm.2020.07.086

Feasibility of a Brief Online Psychoeducational Intervention for Women with Sexual Interest/Arousal Disorder

2020· article· en· W3084012445 on OpenAlexafffund
Natasha Zippan, Kyle R. Stephenson, Lori A. Brotto

Bibliographic record

VenueThe Journal of Sexual Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsBC StudiesSpinal Cord Injury BCUniversity of British Columbia
FundersCanada Foundation for Innovation
KeywordsPsychological interventionPsychologyDistressCLARITYSexual arousalIntervention (counseling)ArousalClinical psychologyUsabilitySexual dysfunctionBibliotherapyPsychotherapistSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Low sexual desire and arousal are the most common sexual concerns in women, but most women lack access to effective treatment such as cognitive behavioral therapy. Web-based psychological interventions, which are economical, private, easily accessible, and potentially effective, may increase the reach of evidence-based treatment. AIM: To determine the feasibility of translating cognitive behavioral therapy for the most common female sexual dysfunction, Female Sexual Interest/Arousal Disorder, into an online format. The present study examined the feasibility of an introductory psychoeducational module of eSense, an online program currently being developed that is based on existing empirically supported in-person treatments, which delivers content to the user in a visually appealing and interactive manner. METHODS: Sixteen cisgender women (M age = 31.9) with female sexual arousal/interest disorder worked through a pilot module of eSense inperson at a sexual health laboratory. OUTCOMES: Qualitative semistructured interviews and online questionnaires were used to assess participants' experiences of usability of the platform, clarity/relevance of the content, satisfaction with the experience, and any changes in clinical outcomes of sexual function and distress. RESULTS: Participants reported a high level of satisfaction with the website's functionality and presentation. They reported greater knowledge, felt validated and more hopeful, and were eager to continue the remaining modules. Participants also reported notable prepost improvements in sexual desire, arousal, and satisfaction. CLINICAL IMPLICATIONS: Initial user-experience assessment may represent a method of simultaneously improving online interventions and providing therapeutic education to participants. STRENGTHS & LIMITATIONS: This is one of the first studies, to our knowledge, to test a graphics-rich, interactive online intervention for sexual difficulties that does not require direct contact with expert providers or support groups. Limitations include the high level of education, motivation, and technical fluency of the sample and the potentially confounding effect of the researcher's presence during interviews. Because this was a feasibility study, the sample size was small, and no control group was included, limiting conclusions about efficacy and generalizability. CONCLUSION: The format of eSense appears to be feasible and usable, lending support to the growing evidence that it is possible to take in-person therapeutic interventions online. Zippan N, Stephenson KR, Brotto LA, Feasibility of a Brief Online Psychoeducational Intervention for Women With Sexual Interest/Arousal Disorder. J Sex Med 2020;17:2208-2219.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.140
GPT teacher head0.388
Teacher spread0.248 · 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 designNon-randomized trial
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

Citations34
Published2020
Admission routes2
Has abstractyes

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