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The Utilization of a Rapid Agitation Scale and Treatment Protocol for Patient and Staff Safety in an Inpatient
Tessa Manning1, Sarah Beth Bell2, Drew Dawson3
1School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA. Tessa-Manning@ouhsc.edu.
Abstract:
Agitation is a common and potentially dangerous condition requiring rapid recognition and treatment in acute psychiatric units. Prompt intervention can prevent a patient with agitation from harming themselves, harming others, or needing restraints or seclusion. After the review of numerous guidelines, the Modified Agitation Severity Scale (MASS) agitation treatment protocol was developed to identify and manage agitation in an inpatient adult psychiatric setting. This protocol involved modifying an existing agitation scale and pairing scores with a treatment algorithm to indicate which behavioral and medication interventions would be most appropriate. All scoring and interventions were recorded in the electronic medical record (EMR). Three months of data were collected before and after the protocol was implemented. The new, modified scale had high reliability and correlated well with another validated agitation scale. Perceived patient safety was high during both study phases. Nurses' perceptions of safety trended upward after the protocol was implemented, though these differences were not significant, likely due to insufficient power. Although there was no decrease in seclusion events after implementation of the treatment protocol, there was a 44% decrease in restraint events and average restraint minutes per incident. Despite a potential increase in workload for nursing staff, implementation of the protocol did not increase burnout scores. Physicians continued to order the protocol for 55% of patients after the study period ended. These findings suggest that including a rapid agitation assessment and protocol within the EMR potentially improves nurses' perceptions of unit safety, helps assess treatment response, reduces time patients spend restrained, and supports decision making for nurses.
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