Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method (Preprint)
This study evaluated an electronic, experience sampling method questionnaire for endometriosis symptoms, finding good internal consistency and concurrent validity with existing measures.
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This short-term follow-up prospective study evaluated the psychometric properties of an endometriosis-specific electronic patient-reported outcome measure using the experience sampling method (ESM) in 28 premenopausal adults reporting dysmenorrhea, chronic pelvic pain, or dyspareunia. Participants received ESM questionnaires via a smartphone app ten times per day over one week at random moments and also completed demographic measures plus end-of-day and end-of-week symptom assessments; the study assessed compliance, concurrent validity, internal consistency, and test-retest reliability. ESM compliance was up to 52%, end-of-week pain scores were higher than mean ESM scores and showed peak reporting, while ESM scores demonstrated strong concurrent validity against GSRS-IBS, GAD-7, PHQ-9, and most EHP-30 items with good-to-excellent reliability measures. This paper is centrally about endometriosis — it psychometrically evaluates a momentary, ESM-based electronic symptom assessment tool for endometriosis patients.
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