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Record W4399793160 · doi:10.1093/jsxmed/qdae054.024

(025) DEVELOPING AND TESTING AN ONLINE PRIMARY CARE TOOLKIT FOR COMMUNITY MANAGEMENT OF VULVODYNIA

2024· article· en· W4399793160 on OpenAlexaff
K E Hunker, M Altas, Kaitlyn M. Goldsmith, Janine E Farrell, Katrina N. Bouchard

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsVancouver Coastal HealthUniversity of British Columbia
Fundersnot available
KeywordsVulvodyniaHealth careMedicineNursingPsychologyFamily medicineMedical educationPelvic pain

Abstract

fetched live from OpenAlex

Abstract Introduction Vulvodynia is a chronic vulvar pain condition that affects 8-10% of women and people with vulvas. Despite its prevalence, healthcare providers (HCPs) often lack awareness, knowledge, and confidence in managing vulvodynia. This knowledge gap can lead to diagnostic delays, misdiagnoses, and reflex referrals to specialists. Moreover, research shows that patients feel invalidated in healthcare settings and perceive that their HCPs’ lack of vulvodynia awareness negatively impacts their care. Thus, there is a need for educational resources about vulvodynia that can be applied in healthcare settings. Specifically, community-based primary care providers could greatly benefit from vulvodynia resources because they are often a point of entry into the healthcare system. Objective To develop and test a new, online toolkit tailored to supporting community-based primary care providers with the assessment, diagnosis, and management of vulvodynia. In this pilot study, we sought to evaluate the adoption, acceptability, and preliminary efficacy of the vulvodynia toolkit in a pilot sample of community-based family physicians. Methods A working group of HCPs (family physicians, gynecologists, physiotherapist, psychologists) and patient partners with vulvodynia expertise developed the toolkit. The toolkit was designed in an online, modular format that could be integrated into short healthcare visits. A sample of 19 family physicians completed online surveys before and after piloting the toolkit in their community practice for 6 months. Adoption was measured in the post-toolkit survey by assessing the frequency and timing of toolkit use during the pilot period. Acceptability was measured in the post-toolkit survey by assessing physicians’ satisfaction with the toolkit content and quality. Preliminary efficacy was assessed by comparing physicians’ self-reported level of confidence with diagnosing, treating, and supporting patients with vulvodynia before and after the pilot period. Results Adoption. During the pilot period, physicians used the toolkit in advance of patient appointments (52.6%), during patient appointments (5.3%), or used a combination of both timepoints (42.1%). Over the 6-month pilot period, physicians used the toolkit an average of 2.61 times (SD = 1.50) in advance of seeing patients and 1.63 times (SD = 2.19) during patient appointments. Acceptability. Most physicians reported that they were satisfied or very satisfied with the toolkit overall (79.0%) and that it contained the right amount of information (68.4%). On average, the physicians rated their likelihood of recommending the toolkit to a colleague as 8/10 (SD = 1.75). Preliminary efficacy. Using repeated-measures MANOVAs, we found significant pre-toolkit to post-toolkit increases in physician’s confidence for diagnosing vulvodynia, p = .003, ηp 2 = .59, treating vulvodynia, p < .001, ηp2 = .72, and supporting patients with vulvodynia, p < .001, ηp2 = .73. Conclusions In this pilot study, we developed and tested an online vulvodynia toolkit tailored to educating community-based primary care providers. The toolkit demonstrated high acceptability and preliminary efficacy amongst a pilot group of family physicians, with large effect sizes. The results of this study exemplify the value of tailored education for improving physicians’ confidence with managing vulvodynia in community practice and lay the foundation for upscaling this tool to a wider population of HCPs. 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 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.202
GPT teacher head0.375
Teacher spread0.173 · 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 designOther design
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

Citations1
Published2024
Admission routes1
Has abstractyes

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