Document Type : Original Article
Authors
1
Lecturer of Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt
2
Assistant Professor of Critical Care Nursing, Faculty of Nursing, Minia University, Minia, Egypt.
3
Assistant Lecturer of Public Health, Faculty of Medicine, Beni-Seuf University, Beni-Suef, Egypt
4
Professor of Radio-diagnosis, Department of Radiology, Faculty of Medicine, Minia University, Minia, Egypt.
5
Lecturer of Community Health Nursing, Faculty of Nursing- Minia University, Minia, Egypt
6
Lecturer of Nursing Administration, Faculty of Nursing, Beni-Seuf University, Beni-Suef, Egypt.
7
Lecturer of Geriatric Care Nursing, Faculty of Nursing, Minia University, Minia, Egypt.
8
Lecturer of Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt.
Abstract
Background: The individual Behavior-based vulnerability to COVID-19 imposes risk of
underestimation without objective evaluation. This study aimed to develop a tool for behavior-based
risk of exposure to droplet infection (REDI) during COVID-19 pandemic. Methods: Initial REDI
was developed with four domains (precautions for direct droplet infection, precautions for indirect
droplet infection, precautions in a shared shelter, and precaution in health facilities), then validated
through an online cross-sectional study among 608 non-health facilities’ workers/clients (NHF), 201
clients in health facilities during last month (CIHF), and 386 workers in health facilities (WIHF).
Results: The final model confirmatory factor analysis indicated a good fit of the model [χ2/df =
(1.45-1.86), GFI＝ (0.90-0.96), CFI＝ (0.89-0.96), RMSEA = (0.036-0.048)] among NHF, CIHF,
and WIHF with Cronbach’s values 0.82, 0.80, and 0.87, respectively. Perceived/measured REDI
was 0.28/0.66 (±0.20/0.22) in 72.2% of participants. Conclusion: REDI tool is valid and reliable for
COVID-19 behavior-based risk identification.
Keywords
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