Evaluation of validity and reliability of coronavirus preventive behaviors in pregnant women based on health belief model

Background and Objectives: The coronavirus disease 2019 (COVID-19), which spread from China, had a high prevalence and mortality rates and affected all age groups. Pregnant women were among the affected people. This study aims to design and evaluate the validity and reliability of a tool for measuring the preventive behaviors of pregnant women in Iran against COVID-19 based on the health belief model (HBM). Methods: This descriptive-applied study was performed on 20 pregnant women in Qom, Iran in 2021. The questionnaire was sent to the participants electronically using the prepared link. The validity was assessed based on the opinions of 9 faculty members, and reliability was assessed using the test re-test method (Pearson’s correlation coefficient) and Cronbach’s α. Results: The final draft had 44 questions; 5 items related to perceived sensitivity, 6 items related to perceived severity, 8 items related to perceived benefits, 8 items related to perceived barriers, 8 items related to cues of action, and 9 items related to self-efficacy. Cronbach’s α for the overall scale was 0.87, and the Pearson correlation coefficient was 0.86. Conclusion: The designed HBM-based tool has acceptable validity and reliability for measuring preventive behaviors against COVID-19 in pregnant women in Iran. It can be used in other relevant studies. Further similar studies in Iran during the COVID-19 pandemic are needed.

Authors

Institutions

Publication Details

Journal
Qom Univ Med Sci J
Published
2024-10-16
DOI
https://doi.org/10.32598/qums.17.2481.2
Primary Topic
COVID-19 Impact on Reproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of validity and reliability of coronavirus preventive behaviors in pregnant women based on health belief model

Narges Eskandari, Abolfazl Mohammadbeigi, Zabihollah Gharlipour, Mansoureh Rangraz Jeddy
Qom Univ Med Sci J
COVID-19 Impact on Reproduction
article

Evaluation of validity and reliability of coronavirus preventive behaviors in pregnant women based on health belief model

Narges Eskandari, Abolfazl Mohammadbeigi, Zabihollah Gharlipour, Mansoureh Rangraz Jeddy
article en

Abstract

Background and Objectives: The coronavirus disease 2019 (COVID-19), which spread from China, had a high prevalence and mortality rates and affected all age groups. Pregnant women were among the affected people. This study aims to design and evaluate the validity and reliability of a tool for measuring the preventive behaviors of pregnant women in Iran against COVID-19 based on the health belief model (HBM). Methods: This descriptive-applied study was performed on 20 pregnant women in Qom, Iran in 2021. The questionnaire was sent to the participants electronically using the prepared link. The validity was assessed based on the opinions of 9 faculty members, and reliability was assessed using the test re-test method (Pearson’s correlation coefficient) and Cronbach’s α. Results: The final draft had 44 questions; 5 items related to perceived sensitivity, 6 items related to perceived severity, 8 items related to perceived benefits, 8 items related to perceived barriers, 8 items related to cues of action, and 9 items related to self-efficacy. Cronbach’s α for the overall scale was 0.87, and the Pearson correlation coefficient was 0.86. Conclusion: The designed HBM-based tool has acceptable validity and reliability for measuring preventive behaviors against COVID-19 in pregnant women in Iran. It can be used in other relevant studies. Further similar studies in Iran during the COVID-19 pandemic are needed.

Qom Univ Med Sci JVol. 17(0)
Iranshahr University (IR), Qom University of Medical Science and Health Services (IR)
Good health and well-being
Openalex Percentile: Top 71%
COVID-19 Impact on Reproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.