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Data · dataset · 2026

A realistic evaluation of early warning systems and acute care training for early recognition and management of deteriorating ward-based patients

Listed in ZivaHub and Deakin Research Online and DMU Figshare and UCL Research Data Repository — shown once because both records carry DOI 10.17034/32630370.v1

Rapid Response Systems (RRS) have been implemented nationally and internationally to improve patient safety in hospital.

Description

The implementation of the Early Warning Systems (EWS) and acute care training in practice is essential to the success of Rapid Response Systems but is dependent upon nurses utilising EWS protocols and applying Acute Life-threatening Events: Recognition and Treatment (ALERT) course best practice guidelines.

To date there is limited evidence on the effectiveness of EWS or ALERT as research has primarily focused on measuring patient outcomes (cardiac arrests, ICU admissions) following the implementation of a Rapid Response Team. The aim of this study was to evaluate factors that enabled and constrained the implementation and service delivery of Early Warnings Systems (EWS) and acute care training in practice in order to provide direction for enabling their success and sustainability. <br><br>The research design was an embedded multiple case study approach of four wards in two hospitals in Northern Ireland.

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It followed the principles of Realist Evaluation research which allowed empirical data to be gathered to test and refine Rapid Response System programme theory. This approach used a variety of mixed methods to test the programme theories including individual and focus group interviews, observation and documentary analysis of EWS compliance data and ALERT training records. <br><br>Data synthesis found similar regularities or factors enabling or constraining successful implementation across the case study sites.

Findings showed that personal (confidence; clinical judgement; professional accountability; personality), social (ward leadership; communication), organisational (workload; time pressures; staffing levels and skill-mix), educational (constraints on training and experiential learning) and cultural (delegation of observations, referral hierarchy; rigid recording practices) factors influenced the impact of EWS and acute care training outcomes.

There were also differences noted between medical and surgical wards across both case sites. <br><br>RRS theory refinement using realist evaluation explained what works, for whom in what circumstances. Future service provision needs to consider improved staffing levels and skill mix of qualified nurses on medical wards; flexible implementation of protocols underpinned by empowerment and clinical judgement; on-going experiential ward-based learning and interprofessional educational opportunities during acute care training to enable the success and sustainability of Rapid Response Systems.

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Catalogue records · 1

Topics

Inferred from text
Health services and systems 74% · Heart 65%
Provenance · 4 source records, 14 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3263037010 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3263037010 d agoJSON v1
DMU Figshareoai:figshare.com:article/3263037010 d agoJSON v1
UCL Research Data Repositoryoai:figshare.com:article/3263037010 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4203enrichment · zivahub uct ac zataxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · rdr ucl ac ukconnector:rdr_ucl_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:medicine-healthmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:medicine-healthmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · rdr ucl ac ukconnector:rdr_ucl_ac_uk@1.0.0
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