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A review of Code Blue activations in a single Regional Australian Healthcare Service: A retrospective descriptive study of RISKMAN data
Author(s) -
Porter Joanne E.,
Peck Blake,
McNabb Tiffinee J.,
Missen Karen
Publication year - 2020
Publication title -
journal of clinical nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 102
eISSN - 1365-2702
pISSN - 0962-1067
DOI - 10.1111/jocn.15079
Subject(s) - checklist , medicine , descriptive statistics , emergency department , health care , retrospective cohort study , medical emergency , emergency medicine , psychology , nursing , statistics , mathematics , economics , cognitive psychology , economic growth
Background In the case of life‐threatening conditions such as respiratory or cardiac arrest, or the clinical deterioration of the patient, a Code Blue activation may be instigated. A Code Blue activation involves a team of advanced trained clinicians attending the emergency needs of the patient. Aims and objectives The aim of the study was to explore the number of cases of Code Blue activations, looking at the timing, clinical ward, diagnosis and activation criteria while noting cases where escalation from a Medical Emergency Team (MET) call occurs in one Regional Healthcare Service in Victoria, Australia, over a six‐year period. Methods A quantitative retrospective descriptive study of Code Blue emergencies over a six‐year period from June 2010 to June 2016 was conducted. Data collected from the RISKMAN program operating at a single site was imported into SPSS (V 22) for descriptive statistical analysis. A STROBE EQUATOR checklist was used for this study (see File S1). Findings The majority of Code Blue activations were male (59%, n = 127) and aged between 70 and 89 years of age (43%, n = 93). A Code Blue activation was more likely to occur at 08:00 hr, 14:00 hr or 22:00 hr, corresponding to the nurses’ change in shift, with the majority of Code Blues (27.8%, n = 60) occurring in the emergency department. Cardiac arrest was the main activation criterion with 54.6% ( n = 118) cases followed by respiratory arrest (14%, n = 32). Interestingly, 20% ( n = 45) of the Code Blue activations were upgraded from a Medical Emergency Team (MET) call. Conclusion This project has produced several interesting findings surrounding Code Blue activations at one regional healthcare service which are not present in existing literature and is worthwhile for further investigation. Relevance to clinical practice Understanding Code Blue activation criteria, common timings (month, time of day) and patient demographics ensures clinicians can remain vigilant in watching for the signs of patient deterioration and improve staff preparedness Code Blue events.