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Status unknownNCT03375658PDWSUpdated Feb 23, 2021

Evaluation of the Patient Deterioration Warning System

An interventional study of PDWS Intervension in Patient Transfer to Intensive Care Unit (Procedure), Respiratory Arrest (Disorder) and Cardiac Arrest (Disorder), sponsored by University of Southern Denmark. Status unknown at 2 sites in Denmark. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-02-23.

Sponsored by University of Southern Denmark · Not applicable, Interventional, and Supportive care

The sponsor has not verified this record recently (last verified Feb 2021), so the status shown — last known as Active, not recruiting — may be out of date.

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Phase
Not applicable
Study type
Interventional
Enrollment
6,500
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study summary

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.

02

Conditions studied

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

Keywords

  • Information Science: Algorithms
  • Information Science: Informatics: Nursing Informatics
  • Information Science: Data Display: Computer graphics
  • Diagnosis: Diagnostic Techiques and Procedures: Monitoring, Physiologic
  • Health care facilities, Manpower and services: Health services: Emergency Medical Services: Triage
03

In context

Apnea

282 studies on the registry are indexed under Apnea; 54 are open to participants now.

This study's enrollment of 6,500 is above the median of 60 across 195 interventional studies indexed under Apnea.

Browse Apnea studies →

Lead sponsor

University of Southern Denmark is the lead sponsor of 336 studies on the registry; 46 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • All adult patients admitted to the emergency department

Exclusion criteria

Exclusion Criteria:

  • Critically ill patients who die during their admission
  • Orthopedic patients with minor injuries
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
6,500 participants (actual)

Study arms

  • Experimental
    Intervention arm

    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.

    Other: PDWS Intervension

  • No intervention
    Control arm

    Usual care

Interventions

  • OtherPDWS Intervension

    Patients admitted to the emergency department in the intervention period will have their vital values presented on the PDWS in addition to existing patient monitoring systems

06

What researchers measure

Primary outcomes

  1. In-hospital deterioration

    Defined as transfer to intensive care units, heart/respiratory failure, and in-hospital mortality. Events are reviewed by experts to exclude cases expected of deterioration at time of arrival.

    Time frame: Admission length (1-7 days)

Secondary outcomes

  1. Economic effect of PDWS

    Cost effective analysis of savings in DKK between differences in primary outcomes in intervention and control arms of the study when inspecting DRG associations.

    Time frame: 35 weeks

  2. Acceptance of novel patient monitoring system

    Technology Acceptance Model based evaluation of the clinicians' perception of the novel system's usefulness and ease of use.

    Time frame: 35 weeks

  3. Reduction in length of stay

    Evaluation of differences in length of stay for patients admitted during the intervention and control arms respectively.

    Time frame: Admission length (1-7 days)

  4. Monitoring load effect

    Does the automatic presentation of patients average severity defined by registered vital signs affect how much patients are monitored during their admission. Degree of monitoring as defined as monitor load.

    Time frame: Admission length (1-7 days)

07

Study locations

2 sites
  • Odense University Hospital
    Odense, Fyn 5000, Denmark
  • Hospital of South Western Jutland
    Esbjerg, Jylland 6700, Denmark
08

References and documents

Publications

  • Henriksen DP, Brabrand M, Lassen AT. Prognosis and risk factors for deterioration in patients admitted to a medical emergency department. PLoS One. 2014 Apr 9;9(4):e94649. doi: 10.1371/journal.pone.0094649. eCollection 2014. PubMed 24718637 ↗
  • Kellett J, Emmanuel A, Deane B. Who will be sicker in the morning? Changes in the Simple Clinical Score the day after admission and the subsequent outcomes of acutely ill unselected medical patients. Eur J Intern Med. 2011 Aug;22(4):375-81. doi: 10.1016/j.ejim.2011.03.005. Epub 2011 Apr 8. PubMed 21767755 ↗
  • Armstrong B, Walthall H, Clancy M, Mullee M, Simpson H. Recording of vital signs in a district general hospital emergency department. Emerg Med J. 2008 Dec;25(12):799-802. doi: 10.1136/emj.2007.052951. PubMed 19033493 ↗
  • Brier J, Carolyn M, Haverly M, Januario ME, Padula C, Tal A, Triosh H. Knowing 'something is not right' is beyond intuition: development of a clinical algorithm to enhance surveillance and assist nurses to organise and communicate clinical findings. J Clin Nurs. 2015 Mar;24(5-6):832-43. doi: 10.1111/jocn.12670. Epub 2014 Sep 19. PubMed 25236182 ↗
  • Brabrand M, Hallas J, Knudsen T. Nurses and physicians in a medical admission unit can accurately predict mortality of acutely admitted patients: a prospective cohort study. PLoS One. 2014 Jul 14;9(7):e101739. doi: 10.1371/journal.pone.0101739. eCollection 2014. PubMed 25019354 ↗
  • Schmidt T, Bech CN, Brabrand M, Wiil UK, Lassen A. Factors related to monitoring during admission of acute patients. J Clin Monit Comput. 2017 Jun;31(3):641-649. doi: 10.1007/s10877-016-9876-y. Epub 2016 Apr 12. PubMed 27067076 ↗
  • Acutely Ill Patients in Hospital: Recognition of and Response to Acute Illness in Adults in Hospital [Internet]. London: National Institute for Health and Clinical Excellence (NICE); 2007 Jul. Available from http://www.ncbi.nlm.nih.gov/books/NBK45947/ PubMed 21204323 ↗
  • Clifton DA, Wong D, Clifton L, Wilson S, Way R, Pullinger R, Tarassenko L. A large-scale clinical validation of an integrated monitoring system in the emergency department. IEEE J Biomed Health Inform. 2013 Jul;17(4):835-42. doi: 10.1109/JBHI.2012.2234130. PubMed 25055312 ↗
  • Fuhrmann L, Lippert A, Perner A, Ostergaard D. Incidence, staff awareness and mortality of patients at risk on general wards. Resuscitation. 2008 Jun;77(3):325-30. doi: 10.1016/j.resuscitation.2008.01.009. Epub 2008 Mar 14. PubMed 18342422 ↗
  • Murray A, Kellett J, Huang W, Woodworth S, Wang F. Trajectories of the averaged abbreviated Vitalpac early warning score (AbEWS) and clinical course of 44,531 consecutive admissions hospitalized for acute medical illness. Resuscitation. 2014 Apr;85(4):544-8. doi: 10.1016/j.resuscitation.2013.12.015. Epub 2013 Dec 21. PubMed 24361459 ↗
  • Smith GB, Prytherch DR, Schmidt P, Featherstone PI, Knight D, Clements G, Mohammed MA. Hospital-wide physiological surveillance-a new approach to the early identification and management of the sick patient. Resuscitation. 2006 Oct;71(1):19-28. doi: 10.1016/j.resuscitation.2006.03.008. Epub 2006 Aug 30. PubMed 16945465 ↗
  • Gorges M, Staggers N. Evaluations of physiological monitoring displays: a systematic review. J Clin Monit Comput. 2008 Feb;22(1):45-66. doi: 10.1007/s10877-007-9106-8. Epub 2007 Dec 7. PubMed 18064532 ↗
  • Kidholm K, Ekeland AG, Jensen LK, Rasmussen J, Pedersen CD, Bowes A, Flottorp SA, Bech M. A model for assessment of telemedicine applications: mast. Int J Technol Assess Health Care. 2012 Jan;28(1):44-51. doi: 10.1017/S0266462311000638. PubMed 22617736 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from May 2018 to primary completion in Apr 2019, 10 months.

Of 69 non-industry interventional studies with no phase under Apnea, half reached primary completion within 19 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 37. This study's 10 months is below that.

Counting every sponsor, half of 78 studies reached it within 17 months; a quarter within 8 and three quarters within 35.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 6, 2017
First posted
Dec 18, 2017
StartActual
May 18, 2018
Primary completionActual
Apr 8, 2019
CompletionEst.
Dec 31, 2021
Last update
Feb 23, 2021
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Feb 23, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03375658
Collaborators
Odense University Hospital, Hospital of South Western Jutland
Responsible party
Thomas Schmidt (Assistant Professor, University of Southern Denmark) — Principal investigator
First posted
Dec 18, 2017
Start date
May 18, 2018
Primary completion
Apr 8, 2019
Completion
Dec 31, 2021 (estimated)
Last update
Feb 23, 2021

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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