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Introduction: Emerging Infectious Diseases are one of the world's leading causes of death, and preventive measures must be implemented to minimize human casualties. Research on preventive behavior relies on the preventive behavior scale and it has an impact on the findings. Purpose: This study aimed to develop an Emerging Infectious Diseases Preventive Health Behavior (EID-PHB) Scale and verify the validity and reliability of the complex models. Methods: Initial items were generated through a literature review and interviews, based on the proposed conceptual framework of transmission-based precautions. 14 experts reviewed the preliminary items for content validity and 20 adults for face validity. Data were collected online by a research company from April 28 to May 3, 2023. A total of 533 participants completed the survey, and subjects were assigned through simple random sampling. The first sample (n = 330) was used for item analysis and Exploratory Factor Analysis (EFA), and the second sample (n = 203) was used for Confirmatory Factor Analysis (CFA), convergent validity, discriminant validity, criterion validity, and reliability. The test-retest reliability was assessed in 34 adults. Results: The final instrument derived six components (droplet, contact, airborne, bloodborne, environmental prevention, and psychological coping), nine indicators, and 34 items. The CFA indicated that all the complex models had a good fit and the integrated factors were confirmed through validity tests. The Cronbach's alpha for the 34 items was 0.92, and the criterion validity was verified (r = 0.85, p < 0.001). Conclusion: The EID-PHB is a valid and reliable tool that can be used to determine preventive behaviors against emerging infectious diseases. This tool is expected to provide a conceptual framework for future research, contribute to the clinical practice and education, and establish strategies and policies for improving individual and public health.
RESUMO
AIM: The aim of the study was to determine the multiple potential contributing factors in preventive behaviours, including COVID-19 vaccination for an effective campaign strategy. DESIGN: This is a descriptive correlation study to examine the effects of the behavioural outcome, attitude, subjective norm, perceived behavioural control, optimistic bias and social stigma on the intention of preventive behaviour, based on Ajen's Theory of Planned Behaviour. METHODS: The survey was performed by a professional research company online from 16-19 July 2021. Two hundred and thirty-three participants who had not been vaccinated against COVID-19 at the time of data collection completed the survey. RESULTS: Perceived benefit, perceived behavioural control and social stigma are significantly associated with intention of preventive behaviours. The factors engaging in preventive behaviour presents us that our society is strongly influenced by social groups. Social groups influence decision-making in intention of preventing behaviour. Public education using social networks can increase such desirable behaviour.
