Validity and reliability testing of the Pelvic Pain Impact Questionnaire.

The aim of this study was to conduct a Hungarian cross-cultural adaptation and assess the reliability and validity of the Pelvic Pain Impact Questionnaire (PPIQ) in women with chronic pelvic pain and endometriosis. The present study focused on Hungarian women aged 18 to 49, with a mean age of 34.18 years (± 6.7). The objective was to evaluate the reliability of the Hungarian version of the Pelvic Pain Impact Questionnaire (PPIQ-HU) through the application of internal consistency and test-retest assessments. Confirmatory factor analysis (CFA) was employed to assess the construct validity of the PPIQ-HU, while Spearman's rank correlation coefficient and Bayesian correlation analysis was utilized to establish convergent validity using several measures, including the 36 Item Short-Form Health Survey (SF-36), Numeric Rating Scale (NRS), Pain Catastrophizing Scale (PCS), and Perceived Stress Scale (PSS). Additionally, to determine discriminant validity, participants were categorized into two groups based on NRS scores: 0-4, indicating mild pain, and 5-10, indicating moderate to severe pain. Data analysis was conducted using IBM SPSS version 28.0, with a significance level established at p < 0.05. A post-hoc power analysis with GPower software and Cohen's d effect size was also performed in the study. Following the exclusion criteria, a total of 240 women participated in the study. The reliability of the PPIQ-HU was confirmed, with Cronbach's α calculated at 0.881 and McDonald's Ω at 0.885. Additionally, the intraclass correlation coefficient values indicated strong reliability, with an ICC of 0.977 (95% CI: 0.955-0.988). The analysis of convergent validity, based on Spearman's correlation coefficients, yielded significant results, ranging from r = 0.243** to r = 0.706** (p < 0.001). We have concluded that the PPIQ-HU serves as a reliable and valid instrument for assessing pelvic pain in everyday life among Hungarian women with endometriosis.ClinicalTrials.gov registration: https://register.clinicaltrials.gov/prs/app/action/LoginUser?ts=1&cx=-jg9qo4 .Unique protocol ID: 9534-PTE2023 NCT05863663.