2019
DOI: 10.1186/s12884-019-2606-y
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Validation of the Iranian version of the childbirth experience questionnaire 2.0

Abstract: BackgroundAssessing women’s childbirth experiences is a crucial indicator in maternity services because negative childbirth experiences are associated with maternal mortalities and morbidities. Due to the high caesarean birth rate in Iran, measuring childbirth experience is a top priority, however, there is no standard tool to measure this key indicator in Iran. The aim of present study is to adapt the “Childbirth Experience Questionnaire 2.0” to the Iranian context and determine its psychometric characteristi… Show more

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Cited by 52 publications
(44 citation statements)
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“…Cronbach's alphas were satisfying, except for the participation subscale [33]. In Iran, a Farsi version of the CEQ2, with 23 items (including the mobility item, about being able to get up and move around during childbirth), showed good model fit in a confirmatory factor analysis [34].…”
Section: Discussionmentioning
confidence: 93%
“…Cronbach's alphas were satisfying, except for the participation subscale [33]. In Iran, a Farsi version of the CEQ2, with 23 items (including the mobility item, about being able to get up and move around during childbirth), showed good model fit in a confirmatory factor analysis [34].…”
Section: Discussionmentioning
confidence: 93%
“…Higher mean scores indicate more positive childbirth experiences [29]. The psychometric properties of this tool have been approved by Ghanbari Homayi et al [30]. In this study, the reliability of this questionnaire was high (Cronbach's alpha = 0.92).…”
Section: Data Collection Toolsmentioning
confidence: 75%
“…Reliability of the research findings was confirmed by ICC, CR and SEM of constructs, being at least 0.885, 0.895 and 5.448 respectively. All these numbers represent acceptable internal consistency and stability of the findings by BPQ [13,33].…”
Section: 78% Respectivelymentioning
confidence: 93%
“…To evaluate the face validity of the items, the appropriateness of each item was rated by an expert, using a five-point Likert scale. Impact score of each item was calculated by the formula of: Impact Score = Frequency (%) × Importance [13,14].…”
Section: Assessment Of Face and Content Validity Of The Questionnairementioning
confidence: 99%