Early Warning Systems, Risk of Early Clinical Deterioration

July 16, 2019 updated by: ILKE KUPELI, Erzincan University

If Early Warning Systems Were Used, Could the Risk of Early Clinical Deterioration be Predicted and Re-admission to Intensive Care Could be Prevented

Primary purpose of the study was to evaluate the relationship between "NEWS" and "VIEWS" scores of patients who were screened retrospectively, early clinical deterioration, return to intensive care and morbidity / mortality.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Turkey
      • Erzincan, Turkey, 24100
        • Recruiting
        • Erzincan University
        • Contact:
        • Principal Investigator:
          • İLKE KÜPELİ

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients over the age of 18 and discharged and admitted to intensive care in the first 24 hours

Description

Inclusion Criteria:

  • over 18 years
  • patients who were taken back to the intensive care unit in the first 24 hours

Exclusion Criteria:

  • under 18 years old,
  • patients undergoing postoperative intensive care,
  • pregnant women

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients who were taken back to intensive care unit due to early clinical deterioration
Time Frame: six month
Number of patients who were taken back to intensive care unit due to early clinical deterioration
six month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Erzincan University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

August 1, 2019

Primary Completion (Anticipated)

November 1, 2019

Study Completion (Anticipated)

November 15, 2019

Study Registration Dates

First Submitted

April 9, 2019

First Submitted That Met QC Criteria

April 10, 2019

First Posted (Actual)

April 11, 2019

Study Record Updates

Last Update Posted (Actual)

July 17, 2019

Last Update Submitted That Met QC Criteria

July 16, 2019

Last Verified

July 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • EBYU 3

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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