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Evaluation of the Patient Deterioration Warning System (PDWS)

University of Southern Denmark (SDU) logo

University of Southern Denmark (SDU)

Status

Unknown

Conditions

Patient Died in Hospital (Finding)
Respiratory Arrest (Disorder)
Patient Transfer to Intensive Care Unit (Procedure)
Cardiac Arrest (Disorder)

Treatments

Other: PDWS Intervension

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

The overall goal of the project is to reduce the number of unexpected patient deteriorations by 50% at Emergency Departments (ED) by investigating if the novel Patient Deterioration Warning Systems (PDWS), can improve clinicians' ability to identify deterioration at an earlier stage.

A third of all acute medical patients with normal vital signs at arrival, experience a deterioration in vital signs during the 24 first hours. This can potentially lead to dire consequences for these patients, as the risk of deterioration is present across all severity levels. The utilization of patient monitoring systems in the dispersed and shared working environments of EDs and acute wards may help to identify some of the reasons for failure to rescue patients. Thus, quantifying the extent to which a patient is being monitored, may be an aid to bridge the current gap between usage of automated and manual monitoring as clinical work will continue to depend on tacit knowledge and intuition.

Several systems and protocols have been established to swiftly deal with identified deterioration. Most systems struggle with issues of clinical adherence and are difficult to assess on-the-fly, and in some cases nurses failed to notice abnormality in 43% of patients experiencing deterioration. Although the trajectories of patients' vital signs have been identified as more important than the initial scoring value, most of the widely used Track and Trigger systems lack a temporal aspect. Furthermore, a limited number of these Track and Trigger systems have been integrated into real time clinical decision support systems, which has not evolved much in the last decades.

The PDWS deals with these challenges by aggregating and summarizing all vital values measured with the ED's patient monitors in the ongoing admission to intuitively present the state and trajectory. The investigators intend to determine if making the PDWS system available to nurses and physicians throughout the entire ED improves their ability to identify patients at risk of deterioration. To make this assessment, the PDWS will be evaluated in a cluster randomized trial (CRT) at two ED facilities in Denmark. The CRT is structured in three 5-week intervention, and three 5-week control periods, separated by a washout period of at least one week. The primary outcome is in-hospital deterioration - defined as transfer to the intensive care unit, heart/respiratory failure or death. The effect the PDWS will be assessed by comparing the proportions of events in each study arm using Pearsons's chi-squared test on these two samples. Furthermore, the technical and economical effects are evaluated using the Technology Acceptance Model, and the Model for Assessment of Telemedicine.

Enrollment

6,500 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • All adult patients admitted to the emergency department

Exclusion criteria

  • Critically ill patients who die during their admission
  • Orthopedic patients with minor injuries

Trial design

Primary purpose

Supportive Care

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

6,500 participants in 2 patient groups

Intervention arm
Experimental group
Description:
All vital signs registered as part of usual care are used for modelling patients state and trajectories and made available to clinicans via the Patient Deterioration Warning System in nursing and physician offices.
Treatment:
Other: PDWS Intervension
Control arm
No Intervention group
Description:
Usual care

Trial contacts and locations

2

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Data sourced from clinicaltrials.gov

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