NCT02523456

Brief Summary

Rationale: Early detection and timely interventions are important determinants of clinical outcome in people with acute illness. Adverse outcomes including unplanned transfer to intensive care (ICU), cardiac arrest and death are usually preceded by acute physiological changes manifesting as alterations in vital signs. Usage of early warning scores (EWS) based on bedside vital sign observations may help early detection, improve outcome of patients and reduce healthcare cost. EWS which are effective in predicting deteriorating patients developed in high income countries have been shown to lose sensitivity and specificity when applied to a low income setting. It is imperative to explore the usefulness of EWSs in Sri Lanka. If the results are positive, widespread adaptation of these scores can significantly contribute to improved patient outcome, better utilization of ICU services and cost effective healthcare provision. Objectives: To describe the demographic characteristics of cardiac arrest patients and the availability of physiological variables for calculation various EWSs in DGH, Moneragala To validate an early warning score suitable for patients at DGH, Moneragala To examine the effectiveness of the selected EWS at improving pre-defined patient outcomes Proposed methodology: Study I: All clinical variables and patient characteristics of past two years collected retrospectively from BHTs. Vital signs and laboratory measurements 24 and 48 hours before cardio respiratory emergency and at admission to hospital will be extracted. The availability of variables required for the calculation of various EWSs will be noted. Study II: All consecutive inpatient admissions for three months to all units except intensive care unit at DGH, Moneragala will be included to the study, prospectively. Data will be collected from bed head tickets using pre-defined data sheets by nominated medical/ nursing officers daily. Demographic details and physiological data will be recorded on admission to ward. Physiological data for seven EWS will be collected twice daily by these medical/nursing officers. Study III: Training will be given for the staff to identify patients getting worse using the newly validated EWS. The outcome of this will be measured with information obtained from Study II. Ethical clearance obtained from the Ethics review Committee of the Faculty of Medicine, University of Colombo (EC-15-034).

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
18,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started May 2015

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 1, 2015

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

August 9, 2015

Completed
5 days until next milestone

First Posted

Study publicly available on registry

August 14, 2015

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2016

Completed
Last Updated

June 7, 2017

Status Verified

June 1, 2017

Enrollment Period

1.7 years

First QC Date

August 9, 2015

Last Update Submit

June 5, 2017

Conditions

Keywords

Early warning scoreCardiac arrest

Outcome Measures

Primary Outcomes (1)

  • Proportion of in-hospital cardiac arrests

    Reduction of proportion of in-hospital cardiac arrests among admitted patients

    Twelve months

Secondary Outcomes (2)

  • Proportion of in-hospital deaths following cardiac arrests

    Twelve months

  • Proportion of ICU admissions following cardiac arrests

    Twelve months

Study Arms (2)

Introduce EWS and Training on EWS

EXPERIMENTAL

The group of patients who admitted to a ward where the staff has trained on EWS and EWS has been introduced.

Behavioral: TrainingBehavioral: Introduce EWS

EWS not introduced

NO INTERVENTION

The group of patients who admitted to a ward where the staff has no special training on EWS and EWS has not been introduced.

Interventions

TrainingBEHAVIORAL

The staff will be trained on early detection and management of clinically deteriorating patients based on the EWS selected.

Introduce EWS and Training on EWS
Introduce EWSBEHAVIORAL

An EWS that is appropriate for use in the study setting will be selected during the second components of the study. This EWS will then be adapted for this component.

Introduce EWS and Training on EWS

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients who underwent CPR.
  • Attendance of cardiac arrest team at this emergency. (When a cardiac arrest occurs in this hospital a cardiac arrest team attends)
  • Age more than 18 years.

You may not qualify if:

  • Patients who were under Do Not Resuscitate (DNR) instructions.
  • Patients admitted to ICU.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

DGH, Moneragala

Monaragala, Uva Province, Sri Lanka

Location

Related Publications (30)

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    BACKGROUND
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    BACKGROUND
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    PMID: 21125034BACKGROUND
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    PMID: 10460556BACKGROUND
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    PMID: 15918825BACKGROUND
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    PMID: 15964445BACKGROUND
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    PMID: 25215131BACKGROUND
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    BACKGROUND
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    PMID: 23342400BACKGROUND
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    PMID: 22955051BACKGROUND
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    BACKGROUND
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    PMID: 15112033BACKGROUND
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    PMID: 20637974BACKGROUND
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    PMID: 2245680BACKGROUND
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    PMID: 9715771BACKGROUND
  • Subbe CP, Davies RG, Williams E, Rutherford P, Gemmell L. Effect of introducing the Modified Early Warning score on clinical outcomes, cardio-pulmonary arrests and intensive care utilisation in acute medical admissions. Anaesthesia. 2003 Aug;58(8):797-802. doi: 10.1046/j.1365-2044.2003.03258.x.

    PMID: 12859475BACKGROUND
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    PMID: 11588210BACKGROUND
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    PMID: 17057134BACKGROUND
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    PMID: 24970344BACKGROUND
  • Beane A, De Silva AP, De Silva N, Sujeewa JA, Rathnayake RMD, Sigera PC, Athapattu PL, Mahipala PG, Rashan A, Munasinghe SB, Jayasinghe KSA, Dondorp AM, Haniffa R. Evaluation of the feasibility and performance of early warning scores to identify patients at risk of adverse outcomes in a low-middle income country setting. BMJ Open. 2018 Apr 27;8(4):e019387. doi: 10.1136/bmjopen-2017-019387.

MeSH Terms

Conditions

Heart Arrest

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular Diseases

Study Officials

  • Rashan Haniffa, MBBS, FRCA

    Mahidol Oxford Tropical Medicine Research Unit

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Project coordinator

Study Record Dates

First Submitted

August 9, 2015

First Posted

August 14, 2015

Study Start

May 1, 2015

Primary Completion

December 31, 2016

Study Completion

December 31, 2016

Last Updated

June 7, 2017

Record last verified: 2017-06

Locations