The psychometric properties of the respectful maternity care (RMC) for an Iranian population

Journal article


Hajizadeh, Khadije, Asghari Jafarabadi, Mohammad, Vaezi, Maryam, Meedya, Shahla, Mohammad-Alizadeh-charandabi, Sakineh and Mirghafourvand, Mojgan. (2020). The psychometric properties of the respectful maternity care (RMC) for an Iranian population. BMC Health Services Research. 20(1), pp. 1-7. https://doi.org/10.1186/s12913-020-05729-x
AuthorsHajizadeh, Khadije, Asghari Jafarabadi, Mohammad, Vaezi, Maryam, Meedya, Shahla, Mohammad-Alizadeh-charandabi, Sakineh and Mirghafourvand, Mojgan
Abstract

Background: The absence of Respectful Maternity Care (RMC) deters mothers from seeking maternity care services. Given the importance of RMC and the lack of a standard tool for its assessment in Iran, the present study was conducted to translate and assess the psychometric properties of the RMC questionnaire in Iranian women.

Methods: Forward-backward method was used for translating the questionnaire from English into Persian. A total of 265 postpartum women entered the study by simple random sampling from public and private hospitals in Tabriz, Iran. The validity of the questionnaire was confirmed through the face, content and construct validity. Construct validity was assessed through exploratory and confirmatory factor analyses. The internal consistency and test-retest reliability were used to confirm the reliability of the questionnaire. Internal consistency was examined by measuring the Cronbach's alpha in a sample of 20 mothers, and test-retest stability by calculating the Intraclass Correlation Coefficient (ICC) in the same group of mothers, who had completed the questionnaire twice with a two-week interval.

Results: The exploratory factor analysis led to the extraction of one factor. Item 12 was eliminated due to its low factor loading. X2/df was less than 5, and RMSEA was less than 0.08, which confirms the validity of this model. The Cronbach's alpha coefficient was obtained as 0.93 and ICC (with 95% confidence interval) as 0.98 (0.96 to 0.99).

Conclusion: The results of the study demonstrated that the Iranian RMC scale can be used as a valid and reliable instrument to assess RMC in Iran.

KeywordsIran; Maternity care; Psychometric; Reliability; Respectful; Validity
Year01 Jan 2020
JournalBMC Health Services Research
Journal citation20 (1), pp. 1-7
PublisherBioMed Central
ISSN1472-6963
Digital Object Identifier (DOI)https://doi.org/10.1186/s12913-020-05729-x
PubMed ID32962715
PubMed Central IDPMC7510070
Web address (URL)https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-020-05729-x
Open accessPublished as green open access
Research or scholarlyResearch
Page range1-7
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Output statusPublished
Publication dates
Print22 Sep 2020
Publication process dates
Accepted09 Sep 2020
Deposited11 Jan 2023
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Open
Supplemental file
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Open
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© The Author(s). 2020
This 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/. The Creative Commons Public Domain Dedication waiver (http://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.

This Study was funded by Vice-chancellor for Research of Tabriz University of Medical Sciences. Funding source has not any role in the design of the study and collection, analysis and interpretation of data.
IR.TBZMED.REC.1398.202/Tabriz University of Medical Sciences

Place of publicationUnited Kingdom
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