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Jul 2020, Vol 8, Issue 3
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Original Article
Development a New Psychometric Assessment Tool for Predicting Hepatitis B Virus Infection in Pregnant Women
Farahnaz Rostami1, Hamid Owaysee Osquee2, Farshad Mahdavi3, Sara Dousti4
1Department of midwifery and reproductive health, Faculty of sciences, Tarbiat Modares university. Tehran,Iran
2Department of Infectious Disease, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
3Department of Surgery, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
4Department of Midwifery, Mahabad Branch. lslamic Azad University, Mahabad, lran


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Keywords : HBV, Pregnant women,Reliability, Validity
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Abstract

Objectives: Hepatitis B virus (HBV) infection in pregnant women can lead to the development of serious complications in neonates; therefore, this study aimed to develop a new tool for predicting HBV infection in pregnant women and to assess the psychometric properties of this scale.

Materials and Methods: This methodological study was carried out on 220 pregnant women visiting the Al-Zahra and Taleghani Hospitals of Tabriz, Iran, in 2019. The relevant items were first formulated and the respective questionnaire was developed; then, the (face, content, and construct) validity and reliability of the questionnaire were assessed. The data were analyzed in SPSS 21 using descriptive statistics, exploratory factor analysis (EFA), dependent t-test, and Cronbach’s alpha coefficient.

Results: A 22-item questionnaire was designed, and the items were scored using a five-point Likert scale (Min=22; Max=120). The Kaiser-Meyer-Olkin (KMO) value, Bartlett’s test of Sphericity value, internal consistency of the tool based on Cronbach’s alpha coefficient, and intra-cluster correlation coefficient (ICC) were 0.801, 4035.810, 0.811, and 0.81, respectively.

Conclusions: The present tool can reliably predict HBV infection in pregnant women; therefore, its application is recommended in preventing relevant complications.

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