Context. The risk of a sanitary crisis with many victims is emphasized by current examples, such as the COVID-19 pandemic. To reduce the impact of these crises, an organizational response with protocols at hospital is essential to manage sanitary crises (Barbarin-Costes, 2017). Nevertheless, effectiveness depends on how the protocols are implemented by professionals (Combalbert, 2012; Conseil National pour la Science, 2008) . For both organizations and professionals, preparation is essential to optimize sanitary crisis management. As preparation is a planned behaviour, the theory of planned behaviour (TPB) (Ajzen, 1991) can be helpful in understanding sanitary crisis preparedness behaviour (Daellenbach et al., 2018) . In the present research, we did the survey just before the sanitary crisis, and then we measured the behavioural intention, and not the actual behavior itself. According to TPB, a behavioural intention is influenced by the attitude towards the behavior, the subjective norms, and the individual’s perceived behavioral control (Ajzen, 1991). Previous studies have shown that, in the general population, TPB variables do influence behavioural intention and preparedness behaviours (Ejeta et al., 2015; Paton et al., 2005) . Method. 408 French hospital workers answered to an online survey released from 14 to 20 March 2020. Subjective norms (societal and peer norm), behavioural control, attitude (affective, value, difficulty) and behavioural intention were studied. These items are Likert-type scale, with statements followed by response scales ranging from 0 (strongly disagree) to 10 (strongly agree). Results. We use multiple linear regression. The proposed model explains significantly more variability than a model without predictors F=16,099; p<.001. It has an R of .425, an R² of .180 with a significance of .000. Behavioural control is the most important variable (B=.194; β=.396; t=9.136; p<.000) followed by the affective attitude (B=.139; β=.187; t=3.831; p<.000), peer norm (B=.124; β=.171; t=3.443; p<.001), cognitive attitude (B=.099; β =.130; t=2.682; p<.008) and difficulty attitude (B=.094; β=.137; t=2,824; p=.005). Discussion. It seems, therefore, that this model can be applied to understand the preparation behaviour. As we tested only the behavioural intention, experimental studies could be envisaged to verify the link between behavioural intention and behaviour in this context. Nevertheless, this study gives some clues about practical application for hospitals. In addition, peer norm seems low (M=5,57 ; SD=2,557) such as affective attitude (M=6,20 ; SD=2,503). Using training for increasing these variables could be a way of improving the behavioural intention of hospital staff to prepare themselves to face sanitary crisis.