دورية أكاديمية

Cross-Cultural Adaptation and Psychometric Properties of the French Version of the EXIT to Measure Women’s Experiences of Induction of Labor

التفاصيل البيبلوغرافية
العنوان: Cross-Cultural Adaptation and Psychometric Properties of the French Version of the EXIT to Measure Women’s Experiences of Induction of Labor
المؤلفون: Guiguet-Auclair, Candy, Rouzaire, Marion, Debost-Legrand, Anne, Dissard, Sigrid, Rouille, Manon, Delabaere, Amélie, Gallot, Denis
المساهمون: Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), CHU Clermont-Ferrand, Génétique, Reproduction et Développement (GReD), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Service Obstétrique CHU Clermont-Ferrand, CHU Estaing Clermont-Ferrand, CHU Clermont-Ferrand-CHU Clermont-Ferrand
المصدر: ISSN: 2077-0383 ; Journal of Clinical Medicine ; https://uca.hal.science/hal-03747509Test ; Journal of Clinical Medicine, 2022, 11 (14), pp.4217. ⟨10.3390/jcm11144217⟩.
بيانات النشر: HAL CCSD
MDPI
سنة النشر: 2022
مصطلحات موضوعية: EXIT, Induction of labor, patient-reported outcome measure, cross-cultural adaptation, psychometric properties, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetrics
الوصف: International audience ; Background: In France, more than 20% of women require induction of labor (IOL), which can be psychologically and emotionally challenging for patients. It is important to assess how they feel about their IOL experiences. Our aim was to cross-culturally adapt and evaluate the psychometric properties of a French version of the EXIT to assess women’s experiences of IOL. Methods: The EXIT was cross-culturally adapted by conducting forward and backward translations following international guidelines. A cross-sectional study was conducted to assess the psychometric properties of the ten French EXIT items: data completeness, factor analysis, internal consistency, score distribution, floor and ceiling effects, inter-subscale correlations, convergent validity, and test–retest reliability. Results: The EXIT was successfully cross-culturally adapted to the French context andany IOL method. The results obtained from 163 patients requiring IOL showed good acceptability. Exploratory factor analysis resulted in a three-factor solution with subscales reflecting the experiential aspects of time taken to give birth, discomfort with IOL, and subsequent contractions. Good internal consistency (Cronbach’s alpha or Spearman correlation coefficients ranging from 0.55 to 0.84) and good test–retest reliability (intraclass correlation coefficients ranging from 0.66 to 0.85) for the three identified subscales were found. Conclusions: The ten-item French EXIT is a valid and reliable instrument for the self-assessment of women’s experiences of IOL in the three weeks following delivery for any method of IOL used. As a patient-reported outcome measure, it would allow the comparison of experiential outcomes across IOL studies in order to include women’s preferences in decisions regarding their care.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/35887980; hal-03747509; https://uca.hal.science/hal-03747509Test; https://uca.hal.science/hal-03747509/documentTest; https://uca.hal.science/hal-03747509/file/jcm-11-04217-v3.pdfTest; PUBMED: 35887980; PUBMEDCENTRAL: PMC9317795
DOI: 10.3390/jcm11144217
الإتاحة: https://doi.org/10.3390/jcm11144217Test
https://uca.hal.science/hal-03747509Test
https://uca.hal.science/hal-03747509/documentTest
https://uca.hal.science/hal-03747509/file/jcm-11-04217-v3.pdfTest
حقوق: http://creativecommons.org/licenses/byTest/ ; info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.66FDD7B1
قاعدة البيانات: BASE