Promoting patient and nurse safety: testing a behavioural health intervention in a learning healthcare system: results of the DEMEANOR pragmatic, cluster, cross-over trial.

BACKGROUND: Based on clinical staff safety within a learning healthcare system, the purpose of this study was to test an innovative model of care for addressing disruptive behaviour in hospitalised patients to determine whether it should be scaled up at the system level. METHODS: The Disruptive bEhaviour manageMEnt ANd prevention in hospitalised patients using a behaviOuRal (DEMEANOR) intervention team was a pragmatic, cluster, cross-over trial. A behavioural intervention team (BIT) with a psychiatric mental health advanced practice nurse and a social worker, with psychiatrist consultation, switched between units each month and occurrences of disruptive behaviours (eg, documented violence control measures, violence risk) compared. Nursing surveys assessed self-perceived efficacy and comfort managing disruptive patient behaviour. RESULTS: A total of 3800 patients hospitalised on the two units met the criteria for inclusion. Of those, 1841 (48.4%) were exposed to the BIT intervention and 1959 (51.6%) were in the control group. A total of 11 132 individual behavioural issues associated with 203 patient encounters were documented. There were no differences in the use of behavioural interventions, violence risk or injurious behaviour or sitter use between patients exposed to BIT and those in the control group. Tracking these data did rely on nursing documentation of such events. Nurses (82 pre and 48 post) rated BIT as the most beneficial support they received to manage patients exhibiting disruptive, threatening or acting out behaviour. CONCLUSIONS: The BIT intervention was perceived as beneficial by nurses in preparing them to provide care for patients exhibiting disruptive, threatening or acting out behaviour, but documented patient behaviour was not observed to change. TRIAL REGISTRATION NUMBER: NCT03777241.

Duke Scholars

Author Christopher Lindsell Biostatistics & Bioinformatics, Division of Biostatistics