Behavior-based Exposure to Droplet Infection: Development and Validation of a Self-risk Measurement Tool During the COVID-19 Pandemic | ||
Egyptian Journal of Health Care | ||
Article 44, Volume 11, Issue 2, June 2020, Pages 690-701 PDF (1.05 M) | ||
Document Type: Original Article | ||
DOI: 10.21608/ejhc.2020.171368 | ||
Authors | ||
Sherif Nesnawy1; Lobna M. Gamal2; Ahmed Arafa3; Mostafa Abdel Kader4; Manar D. Mohammed5; Basiony M. Basiony6; Aml S. Abdelbaky7; Sahar H. Taha8 | ||
1Lecturer of Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt | ||
2Assistant Professor of Critical Care Nursing, Faculty of Nursing, Minia University, Minia, Egypt. | ||
3Assistant Lecturer of Public Health, Faculty of Medicine, Beni-Seuf University, Beni-Suef, Egypt | ||
4Professor of Radio-diagnosis, Department of Radiology, Faculty of Medicine, Minia University, Minia, Egypt. | ||
5Lecturer of Community Health Nursing, Faculty of Nursing- Minia University, Minia, Egypt | ||
6Lecturer of Nursing Administration, Faculty of Nursing, Beni-Seuf University, Beni-Suef, Egypt. | ||
7Lecturer of Geriatric Care Nursing, Faculty of Nursing, Minia University, Minia, Egypt. | ||
8Lecturer 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 | ||
COVID-19; Confirmatory factor analysis; Infection precaution; Risk of exposure to droplet infection; Tool development | ||
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