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Intentional Blindness During Perioperative Cardiac Arrest

Patterns of Inattentional Blindness During Perioperative Cardiac Arrest: Do Healthcare Providers See and Correct Critical Errors?

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04122391
Enrollment
60
Registered
2019-10-10
Start date
2020-12-01
Completion date
2021-06-01
Last updated
2020-03-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Arrest

Keywords

simulation, cardiac arrest, perioperative cardiac arrest

Brief summary

Cardiac arrest in the operating room is a rare but potentially catastrophic event with mortality rates greater than 50%. Recent CPR guidelines published by the American Heart Association (AHA) and the Heart and Stroke Foundation of Canada (HSFC) describe how high quality CPR improves survival rates and neurological outcomes from cardiac arrest. Despite CPR training, adherence rates with performance guidelines are alarmingly low in many pediatric hospitals . In addition to performance errors, medication errors have been reported to be as high as 50% during cardiopulmonary arrest. This can be attributed to many factors, including distractions and poor communication among team members. Previous studies suggested that loud noise in the operating room caused poor communication and impaired surgical performance. To understand more about simulation awareness during peri-operative cardiac arrest, the investigators are planning on conducting a prospective observational study, using a simulated perioperative cardiac arrest scenario in pediatric hospital.The investigators are aiming for a convenient sample of 20 simulation sessions. Each session will have a team of CPR providers (2 participants and 4 confederates). The 2 participants will include one anesthesiologist and one operating room nurse. The participants will be randomized into two group; group A will work in a noise environment of 85 dBA ( as per recommendation by the National Institute for Occupational Safety and Health (NIOSH), and group B will work in a noise environment of 100 dBA. Participants will be wearing eye tracking devices during the scenario (Tobii Pro GlassesTM) designed to capture areas of interest (AOI) / visual fixation. The investigators hypothesize that CC and medication errors are frequently left undetected and uncorrected, and that the less noise distractions during resuscitation improves but does not eliminate this pattern of inattentional blindness in resuscitation teams during simulated perioperative pediatric cardiac arrest. They also hypothesize that look but not act events are a frequent occurrence during simulated pediatric cardiac arrest, and that healthcare providers will have varying reasons that explain the occurrence of look but not act events.

Detailed description

Pediatric Cardiac Arrest and intraoperative arrest Cardiac arrest in the operating room is a rare but potentially catastrophic event with mortality rate of more than 50% . Each year, it is estimated that \>15,000 infants and children in North America receive cardiopulmonary resuscitation (CPR) as a treatment of cardiopulmonary arrest (CPA). The incidence of pediatric perioperative cardiac arrest can be as high as 20.9 per 10,000 cases. Recent CPR guidelines published by the American Heart Association (AHA) and the Heart and Stroke Foundation of Canada (HSFC) describe how high quality chest compressions (CC) with adequate compression depth (5-6 cm) and rate (100-120 beats/min) improves survival rates and neurological outcomes from CPA. Patients receiving CC with adequate depth are more likely to survive than those who aren't (70% vs 16% 24-hour survival), while those receiving CC within the target rate range demonstrate the highest rates of survival. Despite CPR training, adherence rates with performance guidelines are alarmingly low at pediatric hospitals. Professional rescuers observed that CPR quality during simulated and real cardiac arrests frequently fall well short of guidelines in leading institutions. In addition to performance errors, medication errors have been reported to be as high as 50% during cardiopulmonary arrest. Because of the resuscitation environment, errors in prescribing, doing, preparing, labeling and administering the drugs are prone to occur. A 2015 Institute of Medicine (IOM) Report entitled: Strategies to Improve Cardiac Arrest Survival: A Time to Act, recommended translational research focusing on the function of resuscitation teams be undertaken to improve outcomes from CPA. 1\) Goals, Objectives, and Project Outputs Goal To identify, describe and quantify patterns of inattentional blindness related to critical errors for resuscitation teams during the management of perioperative pediatric cardiac arrest. Objectives 1. To determine the frequency of CC-related errors that are undetected by resuscitation teams during management of a simulated pediatric cardiac arrest with average noise level (85 dBA) vs high noise (100 dBA) in the operating room during resuscitation. 2. To determine the frequency of medication-related errors that are undetected by resuscitation teams during management of a simulated pediatric cardiac arrest with average noise level (85dBA) vs high noise (100 dBA) level in the operating room during resuscitation. 3. To determine the frequency of look but not act events (for CC related errors/ medication) during the management of simulated perioperative cardiac arrest. 4. To describe the underlying cause for look but not act events as it relates to CC related errors in management of simulated perioperative cardiac arrest. Proposed Project Outputs 1. The investigators hypothesize that CC and medication errors are frequently left undetected and uncorrected, and that the less noise distractions during resuscitation improves but does not eliminate this pattern of inattentional blindness in resuscitation teams during simulated perioperative pediatric cardiac arrest. 2. They hypothesize that look but not act events are a frequent occurrence during simulated pediatric cardiac arrest, and that healthcare providers will have varying reasons that explain the occurrence of look but not act events.

Interventions

OTHERsound level volume

Noise level during cardiac arrest

Sponsors

KidSIM Simulation Program
Lead SponsorNETWORK

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

1. current PALS certification or PALS instructor 2. attending physician or senior resident (year 3 or 4) or fellow in pediatric anesthesia. 3. The other provider will be OR nurse with recent basic life support certification (past 1 year).

Exclusion criteria

* participant refusal

Design outcomes

Primary

MeasureTime frameDescription
proportion of each error type detected by any participant member of the resuscitation team (ie. team leader, the OR nurse).simulation time = 10 minutesDetection is defined as one or more participant member of the resuscitation team either: (a) verbally stating and sharing nature of error with one or more team members (eg. the CC rate seems slow); and/or (b) verbally providing corrective feedback for the specific error (eg. Please press faster to improve CC rate).

Secondary

MeasureTime frameDescription
Time spent to detect the error30 secondstime for the participant to detect international errors
Team lead fixation errors1 minuteDuration and number of visual fixations on pre-defined areas of interest (AOI) for each error type by team leader and team members, as measured by eye tracking devices
Frequency of look but not act45 minutesFrequency of look but not act events for each error type - the participant(s) looks at the AOI for the error, but does not act (as determined by video review)
Reasons for look but not act45 minutesReasons for look but not act events will be captured during semi-structured interviews.

Contacts

Primary ContactFatemah Qasem, MBBCh
fatemah.qasem@ucalgary.ca(403)955-7211
Backup ContactAdam Cheng, MB FRCPC
Adam.cheng@ucalgary.ca(403)955-7211

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026