(032) Development of a Core Outcome Set for Provoked Vestibulodynia

Abstract Introduction The literature on vulvodynia treatment is heterogeneous in terms of intervention type, study quality, and outcome measures. A systematic review (SR) treatments was recently published focusing randomized controlled trials (RCTs) non-RCTs for provoked vestibulodynia (PVD, a subtype). authors the SR concluded that most studies had very low certainty evidence, which limited ability to draw conclusions about efficacy. In addition, noted large degree heterogeneity measures, conduct meta-analysis, they recommended future incorporate core set (COS, an agreed-upon standardized outcomes should be assessed reported, as minimum, all clinical specific areas health or healthcare) so results from PVD can combined evaluated. Objective To establish COS PVD. Methods Project Management Team Swedish Agency Health Technology Assessment Social Services (SBU) consists researchers/clinicians, patient partner, technology methodologists. Since March 2022, team has conducted extracted (as 1990 studies, no date limit database). Sixty-six (e.g., pain during intercourse, sexual function) have been identified. two round Delphi survey with multiple stakeholders, registration participation (ongoing) open variety stakeholders: people current past lived experience PVD, relatives those healthcare practitioners, researchers, others leaders funding organizations). Participants who register will provide background information ensure representativeness stakeholder identification sociodemographic status country residence, gender), after asked participate first survey. asks participants rate each 9-point scale (from not important critical include always measured studies) list any included but were missed. second survey, highest ranks new presented participants, them. Then, virtual consensus meeting held some members groups discuss ranked decide ones set. Results We report interim progress Conclusions this contribute standardize reporting across stakeholders directly compare effectiveness different interventions, identify clinically relevant outcomes, reduce risk bias. allow generation consistent data meta-analyses. Disclosure No