Medical Information Only. Always consult your healthcare provider before enrolling in any clinical trial.
NCT03960099 · ClinicalTrials.gov registry record · NA
Pictographs for Preventing Wrong-Patient Errors in NICUs
A NA study of Medical Errors and Electronic Medical Records, sponsored by Columbia University.
- Recruiting
- Registry status
- NA
- Development phase
- 6,250
- Enrollment target
- 4
- Study locations
NCT03960099 is a NA study of Medical Errors and Electronic Medical Records that is actively recruiting participants, run by Columbia University. The registered enrollment target is 6,250 participants. The trial reports 4 study locations across 3 states.
The verdict
NCT03960099, a NA study of Medical Errors and Electronic Medical Records, is actively recruiting participants, sponsored by Columbia University.
- RECRUITING
- Registry status
- NA
- Development phase
- 6,250 participants
- Enrollment target
- 4
- Study locations
Study Summary
Newborns in the neonatal intensive care unit (NICU) are at high risk for wrong-patient errors. Effective 2019, The Joint Commission requires that health systems adopt distinct methods of newborn identification as part of its National Patient Safety Goals. Displaying patient photographs in the electronic health record (EHR) is a promising strategy to improve identification of children and adults, but is unlikely to be effective for identifying newborns. This study assesses the use of Pictographs as a "photo equivalent" for improving identification of newborns in the NICU. This multi-site, two-arm, parallel group, cluster randomized controlled trial will test the effectiveness of Pictographs for preventing wrong-patient order errors in the NICU. Pictographs consist of three elements: 1) pictorial symbols of easy-to-remember objects (e.g., rainbow, lion); 2) the infant's given name (when available); and 3) a color-coded border indicating the infant's sex. The study will be conducted at three academic medical centers that utilize Epic EHR. All parents or guardians will be asked to select a unique Pictograph for each infant admitted to the NICU to be displayed on the isolette and in the EHR for the duration of the infant's hospital stay. All clinicians with the authority to place electronic orders in the study NICUs will be randomly assigned to either the intervention arm (Pictographs displayed in the EHR) or the control arm (no Pictographs displayed in the EHR). The main hypothesis is that clinicians assigned to view Pictographs in the EHR will have a significantly lower rate of wrong-patient order errors in the NICU versus clinicians assigned to no Pictographs. The primary outcome is wrong-patient order sessions, defined as a series of orders placed for a single patient by a single clinician that contains at least one wrong-patient order. The Wrong-Patient Retract-and-Reorder (RAR) measure, a validated, reliable, and automated method for identifying wrong-patient ord
Conditions Studied
Interventions
- BEHAVIORAL Pictograph in Banner and Verification Alert
Study Locations (4)
New York
- New York-Presbyterian Hospital - New York
- Montefiore Medical Center - The Bronx
Maryland
- Johns Hopkins Medicine - Baltimore
Massachusetts
- Brigham and Women's Hospital - Boston
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 6,250 participants |
| Start Date | 2022-03-16 |
| Est. Completion | 2028-06-30 |
| Phase | NA |
Interested in This Trial?
Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT03960099
The ClinicalTrials.gov registry entry for NCT03960099 describes a study currently listed as recruiting, categorized as NA. The registered enrollment target is 6,250 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Columbia University, which has 958 total studies on file at ClinicalTrials.gov.
The record links to 2 conditions, with Medical Errors appearing as the primary indexed condition, and to 1 intervention - of which Pictograph in Banner and Verification Alert is the first listed.
NCT03960099 reports 4 study locations spanning 3 distinct geographic areas - top geographies include New York, Maryland, Massachusetts.
Frequently Asked Questions
What is clinical trial NCT03960099 about?
NCT03960099 is a clinical study titled "Pictographs for Preventing Wrong-Patient Errors in NICUs". Newborns in the neonatal intensive care unit (NICU) are at high risk for wrong-patient errors. Effective 2019, The Joint Commission requires that health systems adopt distinct methods of newborn identification as part of its National Patient Safety Goals. Displaying patient photographs in the electr...
What is the current status of trial NCT03960099?
This trial is currently recruiting. It is a NA study. The enrollment target is 6,250 participants. The study started on 2022-03-16. Estimated completion is 2028-06-30.
What conditions does trial NCT03960099 study?
This clinical trial studies the following conditions: Medical Errors, Electronic Medical Records.
What interventions are being tested in trial NCT03960099?
The interventions under investigation include: Pictograph in Banner and Verification Alert (BEHAVIORAL).
Who is sponsoring clinical trial NCT03960099?
This trial is sponsored by Columbia University, which has 958 total clinical trials registered on ClinicalTrials.gov.
Where is trial NCT03960099 being conducted?
This trial has 4 study locations across Maryland, Massachusetts, New York. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
Learn More About Clinical Trials
Similar trials for Medical Errors
Matched on the same primary condition, ranked to surface studies in the same phase first, then by recruiting status, no relevance scoring or editorial curation.
Explore more on PlainTrial
Read our methodology - how this data is sourced, computed, and verified.
Related
Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.