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Implementation of a Web Based Real Time Clinical Decision Support Tool.

NCT02398981 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 962

Last updated 2019-02-06

No results posted yet for this study

Summary

In the developed world critical illness is routinely treated in an intensive care unit (ICU) by highly specialized physicians, nurses and support staff. This model of intensive care is spreading rapidly to low and middle income countries and as it spreads, challenges and limitations to this model arise. In resource-poor settings, inadequate human resources, training, and equipment all present barriers to safe and effective use of life-saving procedures. The advances in medical informatics and human factors engineering have provided tremendous opportunity for novel and user-friendly clinical decision support (CDS) tools that can be applied in a complex and busy hospital setting. Real-time data feeds and standardized patient care tasks in a simulated acute care environment have been proven to have a significant advantage of a novel interface (compared to a conventional) in reducing provider cognitive load and errors. Currently researchers within the investigator's research group have developed and are pilot testing a simple electronic decision support tool: CERTAIN (Checklist for Early Recognition and Treatment of Acute Illness). This tool has been successfully tested and validated in simulated settings and is being implemented as pilot study in 18 countries. Worldwide infant and early childhood mortality continues to be very high partly due to the inability to recognize and respond aggressively to critical illnesses. Investigators expect that adaptation of the algorithms from CERTAIN has potential to be a powerful tool to improve on the medical care of children in developing countries. Investigators aim in this project is 1) to develop a pediatric adaptation of CERTAIN (CERTAINp) and 2) to implement it into clinical practice in resource-poor settings and evaluate the impact of the tool on the processes and patient outcomes.

Conditions

Interventions

OTHER

Clinical decision support tool

Sponsors & Collaborators

  • University of British Columbia

    collaborator OTHER

  • Mayo Clinic

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Max Age
17 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-02-28
Primary Completion
2018-12-31
Completion
2018-12-31

Countries

  • China
  • Croatia
  • Fiji
  • India
  • Peru
  • Republic of the Congo

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02398981 on ClinicalTrials.gov