Pictographs for Preventing Wrong-Patient Errors in NICUs

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 orders, will be used as the primary outcome measure. The Wrong-Patient RAR measure identifies one or more orders placed for a patient that are retracted within 10 minutes, and then reordered by the same clinician for a different patient within the next 10 minutes. In the validation study conducted at a large academic medical center, real-time telephone interviews with clinicians confirmed that 76.2% of RAR events were correctly identified by the measure as wrong-patient orders.

Conditions

• Medical Errors
• Electronic Medical Records

Interventions

BEHAVIORAL

Pictograph in Banner and Verification Alert

Patient Pictograph will be displayed in the banner at the top of the screen in the electronic health record AND patient Pictograph displayed in a patient ID verification alert when placing electronic orders in the electronic health record.

Sponsors & Collaborators

• Albert Einstein College of Medicine

  collaborator OTHER

• Johns Hopkins University

  collaborator OTHER

• Brigham and Women's Hospital

  collaborator OTHER

• Weill Medical College of Cornell University

  collaborator OTHER

• Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

  collaborator NIH

• Columbia University

  lead OTHER

Principal Investigators

• Jason Adelman, MD, MS · Columbia University

Study Design

Allocation

RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

PARALLEL

Eligibility

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2022-03-16

Primary Completion

2027-06-30

Completion

2028-06-30

Countries

• United States

Study Locations