Theory of planned behavior as a conceptual framework for the willingness to self-isolate during the COVID-19 pandemic: A regional cross-sectional study

Abstract

BACKGROUND: Due to an unavailability of a vaccine, one of the efficient methods to prevent the spread of the novel coronavirus (COVID-19) is by applying self-isolation (SI). Hence there is an urgent need to investigate the factors leading to an individuals’ willingness to choose to self-isolate. OBJECTIVES: The current study utilized the Theory of Planned Behavior (TPB) as a conceptual model and aimed to investigate the extent to which subjective norms, personal attitudes and perceived control influences an individual’s willingness to self-isolate during COVID-19 risk. METHOD: A cross-sectional study was performed on 800 Saudi respondents aged≥18 years by using a validated self-administered questionnaire about factors related to willingness to self-isolate during COVID-19 pandemic risk based on the TPB. The effects of different variables on SI were analyzed by using ordinal logistic regression model. RESULTS: A total of 756 (94.5%) were completed and analyzed. Subjective norms and perceived control over the behavior significantly (p < 0.05) influenced the intention of willingness to self-isolate, while attitude was found to be insignificant. The odds of letting others to know about self COVID status were 2.40 times higher than not telling the neighbors or colleagues. A statistically significant difference (p≤0.001) existed between males and females regarding the willingness to self-isolate. Similarly the odds of willingness to self-isolate with a presence of disabled person in family were 2.88 times higher than the absence of a disability in the family. Few recommendations for the policymakers that are needed to curb the spread of COVID-19 infection are also proposed. CONCLUSION: The outcomes of study might be considered as an initial understanding of the factors that significantly influences an individual’s willingness to SI when facing an unprecedented pandemic risk. Additionally, these factors provide a plan for policymakers to encourage citizens for self-isolation during pandemic infections.