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Nurses’ use of early warning system vital signs observation charts in rural, remote and regional healthcare settings
Abstract
Background
Unrecognised patient deterioration in acutely ill hospital patients is a widely acknowledged
problem. Early recognition of physiological derangements has resulted in reduced preventable
adverse patient outcomes. The development and introduction of early warning systems (EWS)
into hospital settings have been implemented as an initiative to address early detection of patient
deterioration. Early warning systems comprise of a patient vital sign monitoring tool and
escalation of care response protocol. While EWS have been implemented in all Australian
healthcare facilities, little is known about nurses’ use of EWS in the rural and remote hospital
context.
Research question
How are Early Warning System vital signs observation charts utilised by nurses in rural and
remote healthcare settings?
Method
A retrospective chart review of EWS vital signs observation charts was undertaken to address the
research question. The Gearing framework provided the methodology to guide the retrospective
chart audit. The nine step Gearing framework for conducting a retrospective chart review
approach included: conception of research, literature review, proposal development, data
abstraction, development of protocols and guidelines for abstraction, sample, ethics, and pilot
study.
Queensland Adult Deterioration Detection (Q-ADDS) vital sign observation charts from 204
patients admitted to seven rural and remote Queensland Health facilities were examined. The
patients were categorised into two groupings; Group 1 – patients who suffered a clinical
ii
deterioration event and were transferred to a larger facility for higher acute care (104 patients),
and Group 2 - patients discharged home after an uneventful hospital stay (100 patients). The
patients from groups 1 and 2 were demographically and diagnostically matched by approximate
age, gender, hospital facility, and admitting diagnosis. All sets of vital signs collected over the 24-
hour period prior to patient transfer or discharge were used in this study.
The vital sign data collected were blood pressure (BP), heart rate (HR), respiratory rate (RR),
oxygen saturation level (SaO2), supplementary oxygen flow rate (O2 flow rate), temperature and
level of consciousness (LOC). Additional data collected included vital sign observation monitoring
frequency, vital sign omissions, and the accuracy of the calculated aggregated EWS score as well
as patient demographic data. Using a coding system, compliance with chart completion protocols
for the use of numbers, dots, corrected writing, and BP arrows and dashes were also recorded to
facilitate recognition of trends according to human factors principles.
The quantitative data were statistically analysed using IBM SPSS Statistics Version 26. The
demographic and diagnosis data were analysed using simple descriptive statistics. The Levene’s
t-test at 95% confidence level (p < .05) was used to establish differences between the patient
groups, Groups 1 and 2. Relationships between variables, such as the number of patient
monitoring events and the completeness of documentation, were analysed using Pearson’s
correlation coefficient (r) to assess the direction and association between variables. The
qualitative data, such as the presence of unwarranted notations, was statistically analysed by
categorising the data prior to analysis.
History
Start Page
1End Page
109Number of Pages
109Location
Central Queensland UniversityPublisher
Central Queensland UniversityPlace of Publication
Rockhampton, QueenslandOpen Access
- Yes
Era Eligible
- No
Supervisor
Associate Professor Tracy Flenady ; Doctor Elaine Jefford ; Doctor Danielle Le LagadecThesis Type
- Master's by Research Thesis
Thesis Format
- Traditional