Dataset Information

Implementing structured team debriefing using a Black Box in the operating room: surveying team satisfaction.

ABSTRACT:

Background

Surgical safety may be improved using a medical data recorder (MDR) for the purpose of postoperative team debriefing. It provides the team in the operating room (OR) with the opportunity to look back upon their joint performance objectively to discuss and learn from suboptimal situations or possible adverse events. The aim of this study was to investigate the satisfaction of the OR team using an MDR, the OR Black Box®, in the OR as a tool providing output for structured team debriefing.

Methods

In this longitudinal survey study, 35 gastro-intestinal laparoscopic operations were recorded using the OR Black Box® and the output was subsequently debriefed with the operating team. Prior to study, a privacy impact assessment was conducted to ensure alignment with applicable legal and regulatory requirements. A structured debrief model and an OR Back Box® performance report was developed. A standardized survey was used to measure participant's satisfaction with the team debriefing, the debrief model used and the performance report. Factor analysis was performed to assess the questionnaire's quality and identified contributing satisfaction factors. Multivariable analysis was performed to identify variables associated with participants' opinions.

Results

In total, 81 team members of various disciplines in the OR participated, comprising 35 laparoscopic procedures. Mean satisfaction with the OR Black Box® performance report and team debriefing was high for all 3 identified independent satisfaction factors. Of all participants, 98% recommend using the OR Black Box® and the outcome report in team debriefing.

Conclusion

The use of an MDR in the OR for the purpose of team debriefing is considered to be both beneficial and important. Team debriefing using the OR Black Box® outcome report is highly recommended by 98% of team members participating.

SUBMITTER: van Dalen ASHM

PROVIDER: S-EPMC7886753 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Publications

Implementing structured team debriefing using a Black Box in the operating room: surveying team satisfaction.

van Dalen A S H M ASHM Jansen M M van Haperen M M van Dieren S S Buskens C J CJ Nieveen van Dijkum E J M EJM Bemelman W A WA Grantcharov T P TP Schijven M P MP

Surgical endoscopy 20200406 3

<h4>Background</h4>Surgical safety may be improved using a medical data recorder (MDR) for the purpose of postoperative team debriefing. It provides the team in the operating room (OR) with the opportunity to look back upon their joint performance objectively to discuss and learn from suboptimal situations or possible adverse events. The aim of this study was to investigate the satisfaction of the OR team using an MDR, the OR Black Box®, in the OR as a tool providing output for structured team d ...[more]

PMID: 32253558

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Project description:BackgroundDistractions during surgical procedures are associated with team inefficiency and medical error. Little is published about the healthcare provider's perception of distraction and its adverse impact in the operating room. We aim to explore the perception of the operating room team on multiple distractions during surgical procedures.MethodsA 26-question survey was administered to surgeons, anesthesia team members, nurses, and scrub technicians at our institution. Respondents were asked to identify and rank multiple distractions and indicate how each distraction might affect the flow of surgery.ResultsThere was 160 responders for a response rate of 19.18% (160/834), of which 71 (44.1%) male and 82 (50.9%) female, 48 (29.8%) surgeons, 59 (36.6%) anesthesiologists, Certified Registered Nurse Anesthetists (CRNA), and 53 (32.9%) OR nurses and scrub technicians. Responders were classified into a junior group (< 10 years of experience) and a senior group (≥ 10 years). Auditory distraction followed by equipment were the most distracting factors in the operating room. All potential auditory distractions in this survey were associated with higher percentage of certain level of negative impact on the flow of surgery except for music. The top 5 distractors belonged to equipment and environment categories. Phone calls/ pagers/ beepers and case relevant communications were consistently among the top 5 most common distractors. Case relevant communications, music, teaching, and consultation were the top 4 most perceived positive impact on the flow of surgery. Distractors with higher levels of "bothersome" rating appeared to associate with a higher level of perceived negative impact on the flow of surgery. Vision was the least distracting factor and appeared to cause minimal positive impact on the flow of surgery.ConclusionsTo our knowledge, this is the first survey studying perception of surgery, anesthesia, and OR staff on various distractions in the operating room. Fewer unnecessary distractions might improve the flow of surgery, improve OR teamwork, and potentially improve patient outcomes.

Project description:BackgroundA large proportion of surgical patient harm is preventable; yet, our ability to systematically learn from these incidents and improve clinical practice remains limited. The Operating Room Black Box was developed to address the need for comprehensive assessments of clinical performance in the operating room. It captures synchronized audio, video, patient, and environmental clinical data in real time, which are subsequently analyzed by a combination of expert raters and software-based algorithms. Despite its significant potential to facilitate research and practice improvement, there are many potential implementation challenges at the institutional, clinician, and patient level. This paper summarizes our approach to implementation of the Operating Room Black Box at a large academic Canadian center.ObjectiveWe aimed to contribute to the development of evidence-based best practices for implementing innovative technology in the operating room for direct observation of the clinical performance by using the case of the Operating Room Black Box. Specifically, we outline the systematic approach to the Operating Room Black Box implementation undertaken at our center.MethodsOur implementation approach included seeking support from hospital leadership; building frontline support and a team of champions among patients, nurses, anesthesiologists, and surgeons; accounting for stakeholder perceptions using theory-informed qualitative interviews; engaging patients; and documenting the implementation process, including barriers and facilitators, using the consolidated framework for implementation research.ResultsDuring the 12-month implementation period, we conducted 23 stakeholder engagement activities with over 200 participants. We recruited 10 clinician champions representing nursing, anesthesia, and surgery. We formally interviewed 15 patients and 17 perioperative clinicians and identified key themes to include in an information campaign run as part of the implementation process. Two patient partners were engaged and advised on communications as well as grant and protocol development. Many anticipated and unanticipated challenges were encountered at all levels. Implementation was ultimately successful, with the Operating Room Black Box installed in August 2018, and data collection beginning shortly thereafter.ConclusionsThis paper represents the first step toward evidence-guided implementation of technologies for direct observation of performance for research and quality improvement in surgery. With technology increasingly being used in health care settings, the health care community should aim to optimize implementation processes in the best interest of health care professionals and patients.

Dataset Information

Implementing structured team debriefing using a Black Box in the operating room: surveying team satisfaction.

Background

Methods

Results

Conclusion

Publications

Implementing structured team debriefing using a Black Box in the operating room: surveying team satisfaction.

Similar Datasets

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