ArticleBioMed research international2020
Psychometric Evaluation of the Persian Version of the Childbirth Experience Questionnaire (CEQ).
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Childbirth experience among different Iranian ethnic groups: a cross-sectional study.BMJ open · 2026Article
- Factors associated with women's childbirth experience in Slovakia: A cross-sectional analysis of overall childbirth experience and individual domains of the Childbirth Experience Questionnaire 2 (CEQ2).European journal of midwifery · 2026Article
- Childbirth Experience, Mistreatment, and Migrant Status: A Retrospective Cross-Sectional Study.Birth (Berkeley, Calif.) · 2025Article
- Parents' Postnatal Sense of Security: A Concept Analysis.Nursing open · 2024Review
- Article
- Measuring Women's Satisfaction with Childbirth: A Literature Review of Measurement Properties.Zdravstveno varstvo · 2024Review
- Maternal performance after childbirth and its predictors: a cross sectional study.BMC pregnancy and childbirth · 2024Article
- Cultural adaptation, validation and evaluation of the psychometric properties of Childbirth Experience Questionnaire version 2.0 in the Spanish context.BMC pregnancy and childbirth · 2024Article
- Puerperal women's satisfaction with the obstetric services received: improvement of an assessment instrument.Revista brasileira de enfermagem · 2023Article
- Psychometric Evaluation of the Malay Version of the Childbirth Experience Questionnaire (CEQ-My).International journal of environmental research and public health · 2022Article
- The effect of backup midwife on maternal experience after vaginal childbirth - a qualitative study.Journal of medicine and life · 2022Article
- Translation and Validation of the Mongolian Version of the Childbirth Experience Questionnaire.Journal of patient experience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Women's childbirth experience is an outcome indicator for evaluating maternity care. This study evaluated the psychometric properties of the Persian version of the Childbirth Experience Questionnaire (P-CEQ). The study recruited two hundred and fifty primiparous postpartum women in the 1-3 months following birth from one private and three public hospitals in Mazandaran province, Iran. First, face validity and content validity were evaluated. Moreover, confirmatory factor analysis (CFA) was conducted, and discriminant validity was assessed by applying the known-groups method. Intraclass correlation coefficient (ICC) was measured to confirm the stability and Cronbach's alpha to confirm the internal consistency. CFA also confirmed the values of fit indices (RMSEA = 0.05, SRMSR = 0.06, CFI >0.93,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.