RecruitingNot ApplicableNCT06768099

A Clinical Trial to Study the Feasibility and Acceptability of an App to Support Pediatric Resuscitation

Reducing Disparities for Children in Rural Emergency Resuscitation (RESCU-ER): Developing and Testing the Acceptability and Feasibility of an Integrated Linear Cognitive Aid for Pediatric Resuscitation in a Pilot RCT

Sponsor

Beth Israel Deaconess Medical Center

Enrollment

80 participants

Start Date

Feb 18, 2025

Study Type

INTERVENTIONAL

Conditions

Resuscitation Pediatric Emergency Medicine Pediatrics Emergency Medical Services Arrest Cardio Respiratory

Summary

The goal of this clinicial trial is to test the acceptability and feasibility of linear cognitive aid intervention to support EMS teams in responding to pediatric emergencies. We are testing the hypothesis that cognitive aids with linear logic will be feasible to use and acceptable to EMS teams in urban and rural areas. Researchers will compare technical performance, teamwork, and self-assessed cognitive load of participants to see the difference between performing resuscitations using their current standard with existing cognitive aids and using our linear cognitive aid. Participants' teams will: * perform in situ high-fidelity simulation of two critical children's resuscitation scenarios * be randomized to 1) perform both resuscitations with their current standard with existing cognitive aids or 2) perform both resuscitations using our linear cognitive aid.

Eligibility

Min Age: 18 Years

Inclusion Criteria3

Active public, private, volunteer, hospital-based, or third-party EMS providers
Speaks and understands English
Age 18 and over

Exclusion Criteria1

\- Not clinically active

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Interventions

OTHERLinear Cognitive Aid

Key features of this tool include: * Minimal input: Teams input the patient's age and clinical scenario (e.g. arrest, childbirth, or trauma). * Linear logic: Based on initial simple input, the tool provides straightforward guidance without requiring multiple Y/N input or advanced decision-making. * Guidance based on individual characteristics: The tool tailors AHA guidance for the specific emergency scenario to the individual patient's size (estimated by age), emphasizing key interventions for the individual scenario and giving appropriate size-based guidance regarding choice of equipment, medication dosage, and resuscitation technique (e.g., chest compression depth). * Time-based and on-demand guidance: Based on the time elapsed from the start of the resuscitation, the app will provide audio guidance regarding the next key steps.