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Research Article

Translation and Validation of Maternal Confidence Questionnaire (MCQ) In Iran: Persian Version

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Published online: 03 Feb 2023
 

ABSTRACT

Objective

Mother's confidence is defined as the understanding of the mother of her ability to take care of the child and knowing his/her needs. The Maternal Confidence Questionnaire (MCQ) is designed to measure a mother's confidence in a neonatal intensive care unit (NICU). The aim of this study was to validate a Persian version of the MCQ for Iranian mothers.

Design

The MCQ was translated into Persian using a forward–backward method. Validity was assessed using face, content, and construct validity measures.

Results

Based on the result of face validity, all items of the scale are appropriate, clear and relevant for using. Bartlett's test (KMO = 0.92, PV<0.001) demonstrates the appropriateness of using factor analysis for our data set. Also, 53% of total variance has been explained by one-factor CFA model that confirmed by goodness of fit indices; GFI = 0.96, CFI = 0.93, RMSEA = 0.07 (0.05, 0.09) as well as p-close = 0.040 and the CMIN = 2.2, p<0.001. The scale has excellent internal consistency (Cronbach's alpha = 0.93).

Conclusion

The Persian version of MCQ showed adequate reliability and validity for measuring maternal confidence in Iranian mothers. This instrument can be used in future studies to assess confidence in mothers with preterm neonates in Iran. Also, this instrument will help neonatal nurses and medical staff to measure confidence in mothers with preterm neonates and accordingly provide supportive interventions.

Acknowledgements

We extend sincere thanks to all the mothers with preterm neonates for their whole-hearted co-operation and without whom this study would have been impossible.

Data availability

The data is available by reasonable request to corresponding author.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Iran University of Medical Sciences under Grant number [97-3-15-13264] and was approved by the Medical Ethics Committee (IR.IUMS.REC.1397.831).

Notes on contributors

Mona Alinejad-Naeini

Mena Alinejad-Naini is a PhD in Neonatal Intensive Care Nursing, a faculty member at Iran University of Medical Sciences and Ali Asghar Children Hospital in Iran, where she is responsible for the training of neonatal and infant intensive care nursing students. She also has 12 years of experience in clinical work in the neonatal department. Her research focuses on improving maternal and neonatal outcomes. She has produced many articles and research in the field of maternal and newborn health and improvement of clinical care of newborns in Iran.

Mansoureh Ashghali Farahani

Mansoureh Ashghali Farahani is a professor in Intensive Care Nursing and a faculty member at Iran University of Medical Sciences, where she is responsible for the training of intensive care nursing students. She also has 22 years of experience in research work. Her research focuses on general nursing care and education, particularly instrument development and psychometric properties.

Farhad Abolhasan Choobdar

Farhad Abolhasan Choobdar is an associate professor in neonatology and Neonatal specialist and a faculty member at Iran University of Medical Sciences. He is a Head of Ali-Asghar Children Hospital and member of the scientific board for general physician education of Iran University of Medical Sciences. He was awarded first place in the subspecialty Board examination for neonatology in 2014 and receiving an award from Minister of Health and the President of Iran University of Medical Sciences. His research focuses on improving maternal and neonatal outcomes. He has produced many articles and research in the field of maternal and newborn health and improvement of clinical care of newborns in Iran.

Roqayeh Aliyari

Roqayeh Aliyari is an assistant professor in Biostatistics, and a faculty member of Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, and she is experienced in research work. Her research focuses on instrument development and psychometric properties.

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