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Exploration of a rapid response team model of care: A descriptive dual methods study
Alexandra Shiell1, Margaret Fry1, Doug Elliott1
1School of Nursing and Midwifery, University of Technology Sydney, Ultimo, NSW 2001, Australia; Nursing and Midwifery Directorate, Northern Sydney Local Health District, St Leonards, NSW 2065, Australia.
Background:
Avoidable in-patient clinical deterioration results in serious adverse events and up to 80% are preventable. Rapid response systems allow early recognition and response to clinical deterioration.
Objective:
To explore the characteristics of a collaborative rapid response team model.
Design:
Dual methodology was used for this descriptive study.
Setting:
The study was conducted in a 500-bed tertiary referral hospital (Sydney, Australia).
Participants:
Inpatients (>17 years) who received a rapid response team activation were included in an electronic medical audit. Participants were rapid response team members and nurses and medical doctors in two in-patient wards.
Methods:
A 12-month (January-December 2018) retrospective electronic health record audit and semi-structured interviews with nurses and medical doctors (July-August 2019) were conducted. Descriptive statistics summarised audit data. Interviews were transcribed and analysed thematically.
Results:
The rapid response team consulted for 2195 patients. Mean patient age was 67.9 years, and 46% of the sample was female. Activations (n = 4092) occurred most often in general medicine (n = 1124, 70.8%) units. Overall, 117 patients had >5 activations. The themes synthesised from interviews were i) managing patient deterioration before arrival of the rapid response team; ii) collaboratively managing patient deterioration at the bedside; iii) rapid response team guidance at the bedside; and iv) 'staff concern' rapid response activation.
Conclusions:
Some patients received many activations, however few required treatment in critical care. The rapid response model was collaborative and supportive. The themes revealed a focus on patient safety, optimising early detection, and management of patient deterioration.
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