NCT02648828|Completed
Understanding Physician Signout Risk Perception
UPS
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UPS
Sponsor study identifier
observational
132
1 country
1
Study Start
July 2015
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
February 2016
Actual (reported)Study Completion
February 2016
Actual (reported)The purpose of the study is to compare the ability of physicians and a statistical index (the Rothman score) to predict clinical deterioration over the next 24 hours. Clinical deterioration is defined as concern in change in vital signs or patient status requiring a call to the rapid response team, cardiopulmonary arrest, or transfer to the ICU.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
February 2016
Actual (reported)Click on a node to explore related trials.
Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
July 2015
Date type not reportedThis date has not been verified as actual or estimated.
July 20, 2015
Actual (reported)January 7, 2016
Actual (reported)February 2016
Actual (reported)February 2016
Actual (reported)Difference between physician prediction of risk of clinical deterioration and Rothman Index
Physicians will make judgments about the probability of clinical deterioration for each of their patients on a 0 (definitely won't) to 100 (certainly will) scale. Clinical deterioration is defined as rapid response, cardiopulmonary arrest, or ICU transfer in the next 24 hours. The Rothman Index is an index that predicts clinical deterioration. The area under the receiver operating curve (AUROC) will be calculated for physicians and the Rothman Index. The AUROC measures the association between the physician's judgment or Rothman Index and actual clinical deterioration. The AUROC of these two measures will then be statistically compared.
Six months
Interns are in their first year of residency.
Residents are in their 2nd or 3rd year of residency.
Attendings are physicians who have completed their residency.
Patients at risk of clinical deterioration
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Cohorts will be selected from the teaching teams of the University of Pittsburgh's General Internal Medicine wards.
University of Pittsburgh
Pittsburgh, Pennsylvania, 15213, United States
Arnold J, Davis A, Fischhoff B, Yecies E, Grace J, Klobuka A, Mohan D, Hanmer J. Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study. BMJ Open. 2019 Oct 10;9(10):e032187. doi: 10.1136/bmjopen-2019-032187.
Janel A Hanmer, M.D.
University of Pittsburgh
Deepika Mohan, MD
University of Pittsburgh
Alex Davis, PhD
Carnegie Mellon University
132 participants (actual enrollment reported by the registry).
First Submitted
July 20, 2015
First Posted
January 7, 2016
Study Start
July 2015
Date type not reportedThis date has not been verified as actual or estimated.
Contact the study team to confirm eligibility.
Primary Completion
February 2016
Actual (reported)Study Completion
February 2016
Actual (reported)Last Updated
August 28, 2017
Record last verified: 2017-08
Download the complete ClinicalTrials.gov record imported by Syfrah, including fields not shown in this page. The registry may contain a newer revision.
Source: ClinicalTrials.gov.
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