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Assessment of Hysteroscopy Skills With a New Assessment Tool
Sponsor: Odense University Hospital
Summary
Objective To investigate validity of the hysteroscopy assessment tool (HYSAT) for assessment of competence in a clinical environment. Methods Novices and experienced gynecologists are recruited from three hospitals and observed and assessed while performing hysteroscopy. Performances are assessed using the HYSAT tool by two independent raters. Validity evidence is gathered in accordance with Messick's framework: validity evidence for content was ensured in previously published Delphi study, response process is ensured by standardization of written rater instructions. Internal structure is explored using Cronbach's alpha for internal consistency reliability; inter-rater reliability and test-retest reliability are calculated as Pearson's r independently across all ratings. Relationship to other variables is investigated by comparing performances of the participants in each group. Consequences evidence is explored by calculating a pass/fail standard using the contrasting groups' standard setting method.
Official title: Assessment of Hysteroscopy Skills in an International Multicenter Trial - Gathering Validity Evidence for a Hysteroscopy Assessment Tool
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
24
Start Date
2026-06-22
Completion Date
2026-09-22
Last Updated
2026-06-26
Healthy Volunteers
No
Conditions
Interventions
Evaluation score based on assessment tool
All hysteroscopies will be assessed by two raters. KHA will be one of the raters for all the procedures. The other rater will be a local physician who will receive a standard introduction to HYSAT. Raters are included from the departments based on their experience to ensure the most experienced raters possible. Two tablets will be used for assessment. All assessments will be immediately transferred to a secure server administered by the independent research support unit open patient data explorative network (OPEN) and deleted from the tablets. Each assessment will be assigned a unique identification number. Data will be pseudo-anonymized as correct pairings of test results/assessments and participants' level of experience will be essential.
Locations (2)
Department of Obstetrics, Gynecology and Newborn Care The Ottawa Hospital
Ottawa, Ontario, Canada
Odense University Hospital
Odense, Denmark