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Trial of a Video Game Intervention to Recalibrate Physician Heuristics: A Followup Study

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University of Pittsburgh

Status

Completed

Conditions

Wounds and Injuries

Treatments

Behavioral: Video game
Behavioral: Educational program

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT03138304
MOD16070572-03 / PRO16070572

Details and patient eligibility

About

The objective of this study is to measure the duration of two different types of interventions to change physician decision making in trauma triage: a video game and an educational program.

Full description

Treatment at trauma centers improves outcomes for patients with moderate-to-severe injuries. Accordingly, professional organizations, state authorities, and the federal government have endorsed the systematic triage and transfer of these patients to trauma centers either directly from the field or after evaluation at a non-trauma center. Nonetheless, between 30 to 40% of patients with moderate-to-severe injuries still only receive treatment at non-trauma centers, so-called under-triage. Most of this under-triage occurs because of physician decisions (rather than first-responder decisions). Existing efforts to change physician decision making focus primarily on knowledge of clinical practice guidelines and attitudes towards the guidelines. These strategies ignores the growing consensus that decision making reflects both knowledge as well as intuitive judgments (heuristics). Heuristics, mental short cuts based on pattern recognition, drive the majority of decision making. The investigators developed an adventure video game (Night Shift) to serve as a novel method of recalibrating physician heuristics in trauma triage and compared its efficacy with a standard educational program. This study is designed to measure the degradation of the treatment effect.

Enrollment

142 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Physicians who care for adult patients in the Emergency Department.
  • Physicians who work at a non-trauma center.
  • Physicians who work at a Level III/IV trauma center.

Exclusion criteria

  • Physicians who work only at a Level I/II trauma center.
  • Physicians who do not practice in the US.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

142 participants in 2 patient groups

Adventure video game
Experimental group
Description:
Night Shift is an adventure video game with the transformational goal of teaching physicians key characteristics of patients with non-representative severe injuries - injuries classified by the American College of Surgeons as life-threatening or critical but that do not fit the archetype of injuries typically requiring treatment at a trauma center. Players take on the persona of Andy Jordan, a young emergency physician who moves home after the disappearance of his estranged grandfather (Robert Jordan) and takes up a job in the local Emergency Department (ED). In the preamble, players learn they have two explicit objectives. First, they must diagnose and treat patients who present to their ED. Second they must solve the mystery of Robert's disappearance: was he murdered or has he simply chosen to disappear?
Treatment:
Behavioral: Video game
Educational Program
Active Comparator group
Description:
The educational module consists of two separate apps, both commercially available. myATLS includes a review of each chapter of the Advanced Trauma Life Support (ATLS) textbook, a series of videos demonstrating common trauma procedures, and clinical resources including checklists for use at the bedside. Trauma Life Support MCQ Review includes 550 multiple-choice questions with correct answers and explanations. The investigators will ask physicians to review the myATLS app and then complete questions in the Trauma Life Support MCQ Review, spending at least 1 hour on the combined tasks.
Treatment:
Behavioral: Educational program

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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