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Childbirth Readiness Scale (CRS): instrument development and psychometric properties
BACKGROUND: Childbirth preparation plays an important role in reducing maternal mortality and improving women’s childbirth experience. Evaluating childbirth readiness levels before and after interventions provides a basis for formulating more targeted and effective interventions. However, existing t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958764/ https://www.ncbi.nlm.nih.gov/pubmed/35346093 http://dx.doi.org/10.1186/s12884-022-04574-6 |
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author | Mengmei, Yuan Meizhen, Zhao Tieying, Zeng Meiliyang, Wu Ye, Chen Ke, Zhang AiQing, Tu |
author_facet | Mengmei, Yuan Meizhen, Zhao Tieying, Zeng Meiliyang, Wu Ye, Chen Ke, Zhang AiQing, Tu |
author_sort | Mengmei, Yuan |
collection | PubMed |
description | BACKGROUND: Childbirth preparation plays an important role in reducing maternal mortality and improving women’s childbirth experience. Evaluating childbirth readiness levels before and after interventions provides a basis for formulating more targeted and effective interventions. However, existing tools only assess partial childbirth preparation or have limited evidence of reliability and validity. The aim of this study was thus to develop a new instrument for use during the third trimester to comprehensively assess the readiness level of pregnant women, and test the scale’s psychometric properties. METHODS: The scale was developed through exploratory mixed methods including qualitative and quantitative phases. A literature review and in-depth semi-structured interviews were utilized to identify the scale items. A Delphi expert consultation evaluated the content validity. Psychometric testing was conducted in a convenience sample of 731 pregnant women in the third trimester (recruited from 3 tertiary hospitals in Hubei province in China). Item analysis was used to screen items; exploratory factor analysis was performed to extract factors; confirmatory factor analysis was performed to evaluate fit on the factor structures. RESULTS: The final scale consisted of four dimensions and 18 items that explained 65.8% of the total variance. Confirmative factor analysis (CFA) model showed that the 4-factor model fits the data well. The total Cronbach alpha coefficient of the total scale and 4 factors was 0.935 and 0.853–0.914. The split-half reliability was 0.880. The dimensions comprised “Self-management”, “Information literacy”, “Birth confidence” and “Birth plan”. CONCLUSIONS: The childbirth readiness scale we developed has good reliability and validity, and can be used to comprehensively assess the readiness level of pregnant women. In addition to understanding the overall level of women’s childbirth readiness, using subscale scores, improvements can be targeted to specific areas of the preparation for childbirth, to improve the efficiency of the intervention. |
format | Online Article Text |
id | pubmed-8958764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89587642022-03-29 Childbirth Readiness Scale (CRS): instrument development and psychometric properties Mengmei, Yuan Meizhen, Zhao Tieying, Zeng Meiliyang, Wu Ye, Chen Ke, Zhang AiQing, Tu BMC Pregnancy Childbirth Research BACKGROUND: Childbirth preparation plays an important role in reducing maternal mortality and improving women’s childbirth experience. Evaluating childbirth readiness levels before and after interventions provides a basis for formulating more targeted and effective interventions. However, existing tools only assess partial childbirth preparation or have limited evidence of reliability and validity. The aim of this study was thus to develop a new instrument for use during the third trimester to comprehensively assess the readiness level of pregnant women, and test the scale’s psychometric properties. METHODS: The scale was developed through exploratory mixed methods including qualitative and quantitative phases. A literature review and in-depth semi-structured interviews were utilized to identify the scale items. A Delphi expert consultation evaluated the content validity. Psychometric testing was conducted in a convenience sample of 731 pregnant women in the third trimester (recruited from 3 tertiary hospitals in Hubei province in China). Item analysis was used to screen items; exploratory factor analysis was performed to extract factors; confirmatory factor analysis was performed to evaluate fit on the factor structures. RESULTS: The final scale consisted of four dimensions and 18 items that explained 65.8% of the total variance. Confirmative factor analysis (CFA) model showed that the 4-factor model fits the data well. The total Cronbach alpha coefficient of the total scale and 4 factors was 0.935 and 0.853–0.914. The split-half reliability was 0.880. The dimensions comprised “Self-management”, “Information literacy”, “Birth confidence” and “Birth plan”. CONCLUSIONS: The childbirth readiness scale we developed has good reliability and validity, and can be used to comprehensively assess the readiness level of pregnant women. In addition to understanding the overall level of women’s childbirth readiness, using subscale scores, improvements can be targeted to specific areas of the preparation for childbirth, to improve the efficiency of the intervention. BioMed Central 2022-03-27 /pmc/articles/PMC8958764/ /pubmed/35346093 http://dx.doi.org/10.1186/s12884-022-04574-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mengmei, Yuan Meizhen, Zhao Tieying, Zeng Meiliyang, Wu Ye, Chen Ke, Zhang AiQing, Tu Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title | Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title_full | Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title_fullStr | Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title_full_unstemmed | Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title_short | Childbirth Readiness Scale (CRS): instrument development and psychometric properties |
title_sort | childbirth readiness scale (crs): instrument development and psychometric properties |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958764/ https://www.ncbi.nlm.nih.gov/pubmed/35346093 http://dx.doi.org/10.1186/s12884-022-04574-6 |
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