A theoretical framework for identifying sociocultural factors that influence nurses' compliance with early warning systems for acute clinical deterioration: A cross-sectional survey

A theoretical framework for identifying sociocultural factors that influence nurses' compliance with early warning systems for acute clinical deterioration: A cross-sectional survey

Background
Systematic adoption of early warning systems in healthcare settings is dependent on the optimal and reliable application by the user. Psychosocial issues and hospital culture influence clinicians' patient safety behaviours.
Objective
(i) To examine the sociocultural factors that influence nurses' EWS compliance behaviours, using a theory driven behavioural model and (ii) to propose a conceptual model of sociocultural factors for EWS compliance behaviour.
Design
A cross-sectional survey.
Setting
Nurses employed in public hospitals across Queensland, Australia.
Participants
Using convenience and snowball sampling techniques eligible nurses accessed a dedicated web site and survey containing closed and open-ended questions. 291 nurses from 60 hospitals completed the survey.
Methods
Quantitative data were analysed using ANOVA or t-tests to test differences in means. A series of path models based on the theory were conducted to develop a new model. Directed or theory driven content analysis informed qualitative data analysis.
Results
Nurses report high levels of previous compliance behaviour and strong intentions to continue complying in the future (M = 4.7; SD 0.48). Individual compliance attitudes (β 0.29, p < .05), perceived value of escalation (β 0.24, p < .05) and perceived ease or difficulty complying with documentation (β − 0.31, p < .05) were statistically significant, predicting 24 % of variation in compliance behaviour. Positive personal charting beliefs (β 0.14, p < .05) and subjective norms both explain higher behavioural intent indirectly through personal attitudes. High ratings of peer charting beliefs indirectly explain attitudes through subjective norms (β 0.20, p < .05). Perceptions of control over one's clinical actions (β − 0.24, p < .05) and early warning system training (β − 0.17, p < .05) directly contributed to fewer difficulties complying with documentation requirements. Prior difficulties when escalating care (β − 0.31, p < .05) directly influenced the perceived value of escalating.
Conclusions
The developed theory-based conceptual model identified sociocultural variables that inform compliance behaviour (documenting and escalation protocols). The model highlights areas of clinical judgement, education, interprofessional trust, workplace norms and cultural factors that directly or indirectly influence nurses' intention to comply with EWS protocols. Extending our understanding of the sociocultural and system wide factors that hamper nurses' use of EWSs and professional accountability has the potential to improve the compliance behaviour of staff and subsequently enhance the safety climate attitudes of hospitals.
Tweetable abstract
A newly developed model reports nurse's personal attitudes, peer influence, perceived difficulties encountered documenting and escalation beliefs all predict early warning system compliance behaviour.