The impact of resident training on robotic operative times: is there a July Effect?

It is unknown whether the July Effect (a theory that medical errors and organizational inefficiencies increase during the influx of new surgical residents) exists in urologic robotic-assisted surgery. The aim of this study was to investigate the impact of urology resident training on robotic operative times at the beginning of the academic year. A retrospective chart review was conducted for urologic robotic surgeries performed at a single institution between 2008 and 2019. Univariate and multivariate mix model analyses were performed to determine the association between operative time and patient age, estimated blood loss, case complexity, robotic surgical system (Si or Xi), and time of the academic year. Differences in surgery time and non-surgery time were assessed with/without resident presence. Operative time intervals were included in the analysis. Resident presence correlated with increased surgery time (38.6 min (p < 0.001)) and decreased non-surgery time (4.6 min (p < 0.001)). Surgery time involving residents decreased by 8.7 min after 4 months into the academic year (July-October), and by an additional 5.1 min after the next 4 months (p = 0.027, < 0.001). When compared across case types stratified by complexity, surgery time for cases with residents significantly varied. Cases without residents did not demonstrate such variability. Resident presence was associated with prolonged surgery time, with the largest effect occurring in the first 4 months and shortening later in the year. However, resident presence was associated with significantly reduced non-surgery time. These results help to understand how new trainees impact operating room times.

Challenges With Robot-Assisted Surgery Setup for Complex Minimally Invasive Upper Gastrointestinal Surgery.

BACKGROUND: The utilization of robot-assisted approaches to surgery has increased significantly over the last two decades. This has introduced novel complexities into the operating room environment, requiring management of new challenges and workflow adaptation. This study aimed to analyze challenges in the surgical setup for complex upper gastrointestinal robot-assisted surgery (UGI-RAS) and identify opportunities for solutions. METHODS: Direct observations of surgical setup processes for UGI-RAS were performed by a trained Human Factors researcher at a non-profit academic medical center in Southern California. Setup tasks were subdivided into five phases: (1) before wheels-in; (2) patient transfer and anesthesia induction; (3) patient preparation; (4) surgery preparation; and (5) robot docking. Start/end times for each phase/task were documented along with workflow disruption (FD) narratives and timestamps. Setup tasks and FDs were analyzed using descriptive statistics. RESULTS: Twenty UGI-RAS setup procedures were observed between May-November 2023: sleeve gastrectomy +/- hiatal hernia repair (n = 9, 45.00%); para-esophageal hernia repair +/- fundoplication (n = 8, 40.00%); revision to Roux-en-Y gastric bypass (n = 2, 10.00%); and gastric band removal (n = 1, 5.00%). Frequent FDs included planning breakdowns (n = 20, 29.85%), equipment/supply management (n = 17, 25.37%), patient care coordination (n = 8, 11.94%), and equipment challenges (n = 8, 11.94%). Eleven of 20 observations were first-start cases, of which 10 experienced delayed starts. DISCUSSION: Interventions aimed at improving workflows during UGI-RAS setup include performing pre-operative team huddles and conducting trainings aimed at team coordination and equipment challenges. These solutions could result in improved teamwork, efficiency, and communication while reducing case start delays and turnover time.

Why can't we improve turnover time? A systematic review.

BACKGROUND: Despite substantial efforts to reduce operating room (OR) turnover time (TOT), delays remain a frustration to physicians, staff, and hospital leadership. These efforts have employed many systems and human factor-based approaches with variable results. A deeper dive into methodologies and their applicability could lead to successful and sustained change. The aim of this study was to conduct a systematic review to evaluate relevant research focused on improving OR TOT and clearly defining measures of successful intervention. MATERIAL AND METHODS: A systematic review of OR TOT interventions implemented between 1980 through October 2022 was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. Research databases included: 1) PubMed; 2) Web of Science; and 3) OVID Medline. RESULTS: A total of 38 articles were appropriate for analysis. Most employed a pre/post intervention approach (29, 76.3%), the remaining utilized a control/intervention approach. Nine intervention methods were identified: the majority included a process redesign bundle (24, 63%), followed by overlapping induction, dedicated unit/team/space feedback, financial incentives, team training, education, practice guidelines, and redefinition of roles/responsibilities. Studies were further categorized into one of two groups: (1) those that utilized predetermined interventions based on anecdotal experience or prior literature (18, 47.4%) and (2) those that conducted a prospective analysis on baseline data to inform intervention development (20, 52.6%). DISCUSSION: There are significant variability in the methodologies utilized to improve OR TOT; however, the most effective solutions involved process redesign bundles developed from a prospective investigation of the clinical work-system.

Medication Safety Event Reporting: Factors That Contribute to Safety Events During Times of Organizational Stress.

BACKGROUND: Incident reports submitted during times of organizational stress may reveal unique insights. PURPOSE: To understand the insights conveyed in hospital incident reports about how work system factors affected medication safety during a coronavirus disease-2019 (COVID-19) surge. METHODS: We randomly selected 100 medication safety incident reports from an academic medical center (December 2020 to January 2021), identified near misses and errors, and classified contributing work system factors using the Human Factors Analysis and Classification System-Healthcare. RESULTS: Among 35 near misses/errors, incident reports described contributing factors (mean 1.3/report) involving skill-based errors (n = 20), communication (n = 8), and tools/technology (n = 4). Reporters linked 7 events to COVID-19. CONCLUSIONS: Skill-based errors were the most common contributing factors for medication safety events during a COVID-19 surge. Reporters rarely deemed events to be related to COVID-19, despite the tremendous strain of the surge on nurses. Future efforts to improve the utility of incident reports should emphasize the importance of describing work system factors.

Demands of surgical teams in robotic-assisted surgery: An assessment of intraoperative workload within different surgical specialties.

BACKGROUND: Current approaches to assessing workload in robotic-assisted surgery (RAS) focus on surgeons and lack real-world data. Understanding how workload varies by role and specialty aids in identifying effective ways to optimize workload. METHODS: SURG-TLX surveys with six domains of workload were administered to surgical staff at three sites. Staff reported workload perceptions for each domain on a 20-point Likert scale, and aggregate scores were determined per participant. RESULTS: 188 questionnaires were obtained across 90 RAS procedures. Significantly higher aggregate scores were reported for gynecology (Mdn â€‹= â€‹30.00) (p â€‹= â€‹0.034) and urology (Mdn â€‹= â€‹36.50) (p â€‹= â€‹0.006) than for general (Mdn â€‹= â€‹25.00). Surgeons reported significantly higher scores for task complexity (Mdn â€‹= â€‹8.00) than both technicians (Mdn â€‹= â€‹5.00) (p â€‹= â€‹0.007), and nurses (Mdn â€‹= â€‹5.00). CONCLUSIONS: Staff reported significantly higher workload during urology and gynecology procedures, and experienced significant differences in domain workload by role and specialty, elucidating the need for tailored workload interventions.

Identifying Workflow Disruptions in Robotic-Assisted Bariatric Surgery: Elucidating Challenges Experienced by Surgical Teams.

PURPOSE: Bariatric surgery is an effective and durable treatment for weight loss for patients with extreme obesity. Although traditionally approached laparoscopically, robotic bariatric surgery (RBS) has unique benefits for both surgeons and patients. Nonetheless, the technological complexity of robotic surgery presents new challenges for OR teams and the wider clinical system. Further assessment of the role of RBS in delivering quality care for patients with obesity is necessary and can be done through a human factors approach. This observational study sought to investigate the impact of RBS on the surgical work system via the study of flow disruptions (FDs), or deviations from the natural workflow progression. MATERIALS AND METHODS: RBS procedures were observed between October 2019 and March 2022. FDs were recorded in real time and subsequently classified into one of nine work system categories. Coordination FDs were further classified into additional sub-categories. RESULTS: Twenty-nine RBS procedures were observed at three sites. An average FD rate of 25.05 (CI = ± 2.77) was observed overall. FDs were highest between insufflation and robot docking (M = 29.37, CI = ± 4.01) and between patient closing and wheels out (M = 30.00, CI = ± 6.03). FD rates due to coordination issues were highest overall, occurring once every 4 min during docking (M = 14.28, CI = ± 3.11). CONCLUSION: FDs occur roughly once every 2.4 min and happen most frequently during the final patient transfer and robot docking phases of RBS. Coordination challenges associated with waiting for staff/instruments not readily available and readjusting equipment contributed most to these disruptions.

Understanding ultrarare adverse events - Lessons learned from a twelve-year review of intraoperative deaths at an academic medical center.

BACKGROUND: Intraoperative death (ID) is rare, the incidence remains challenging to quantify and learning opportunities are limited. We aimed to better define the demographics of ID by reviewing the longest single-site series. METHODS: Retrospective chart reviews, including a review of contemporaneous incident reports, were performed on all ID between March 2010 to August 2022 at an academic medical center. RESULTS: Over 12 years, 154 IDs occurred (∼13/year, average age: 54.3 years, male: 60%). Most occurred during emergency procedures (n = 115, 74.7%), 39 (25.3%) during elective procedures. Incident reports were submitted in 129 cases (84%). 21 (16.3%) reports cited 28 contributing factors including challenges with coordination (n = 8, 28.6%), skill-based errors (n = 7, 25.0%), and environmental factors (n = 3, 10.7%). CONCLUSIONS: Most deaths occurred in patients admitted from the ER with general surgical problems. Despite expectations for incident reporting, few provided actionable information on ergonomic factors which might help identify improvement opportunities.

A Novel Approach for Engagement in Team Training in High-Technology Surgery: The Robotic-Assisted Surgery Olympics.

INTRODUCTION: There is ongoing interest in the development of technical and nontechnical skills in healthcare to improve safety and efficiency; however, barriers to developing and delivering related training programs make them difficult to implement. Unique approaches to training such as "serious games" may offer ways to motivate teams, reinforce skill acquisition, and promote teamwork. Given increased challenges to teamwork in robotic-assisted surgery (RAS), researchers aimed to develop the "RAS Olympics," a game-based educational competition to improve skills needed to successfully perform RAS. METHODS: This pilot study was conducted at an academic medical center in Southern California. Robotic-assisted surgery staff were invited to participate in the "RAS Olympics" to develop their skills and identify opportunities to improve processes. Impact of the activity was assessed using surveys and debriefs. RESULTS: Sixteen operating room team members participated and reacted favorably toward the RAS-Olympics (average score, 4.5/5). They enjoyed the activity, would recommend all staff participate, felt that it was relevant to their work, and believed that they practiced and learned new techniques that would improve their practice. Confidence in skills remained unchanged. Participants preferred the RAS Olympics to traditional training because it provided an interactive learning environment. CONCLUSIONS: The successful implementation of the RAS Olympics provided insight into new opportunities to engage surgical staff members while also training technical and nontechnical skills. Furthermore, this shared experience allowed surgical staff members to gain a greater appreciation for their teammates and an understanding of the current challenges and methods to improve teamwork and communication while promoting safety and efficiency in RAS.

The Application of Human Factors Engineering to Reduce Operating Room Turnover in Robotic Surgery.

BACKGROUND: Challenges associated with turnover time are magnified in robotic surgery. The introduction of advanced technology increases the complexity of an already intricate perioperative environment. We applied a human factors approach to develop systematic, data-driven interventions to reduce robotic surgery turnover time. METHODS: Researchers observed 40 robotic surgery turnovers at a tertiary hospital [20 pre-intervention (Jan 2018 to Apr 2018), 20 post-intervention (Jan 2019 to Jun 2019)]. Components of turnover time, including cleaning, instrument and room set-up, robot preparation, flow disruptions, and major delays, were documented and analyzed. Surveys and focus groups were used to investigate staff perceptions of robotic surgery turnover time. A multidisciplinary team of human factors experts and physicians developed targeted interventions. Pre- and post-intervention turnovers were compared. RESULTS: Median turnover time was 67 min (mean: 72, SD: 24) and 22 major delays were noted (1.1/case). The largest contributors were instrument setup (25.5 min) and cleaning (25 min). Interventions included an electronic dashboard for turnover time reporting, clear designation of roles and simultaneous completion of tasks, process standardization of operating room cleaning, and data transparency through monthly reporting. Post-intervention turnovers were significantly shorter (U = 57.5, p = .000) and ten major delays were noted. CONCLUSIONS: Human factors analysis generated interventions to improve turnover time. Significant improvements were seen post-intervention with a reduction in turnover time by a 26 min and decrease in major delays by over 50%. Future opportunities to intervene and further improve turnover time include targeting pre- and post-operative care phases.

A Human Factors Approach to Vaginal Retained Foreign Objects.

STUDY OBJECTIVE: This study aimed to apply a structured human factors analysis to understand conditions contributing to vaginal retained foreign objects (RFOs). DESIGN: All potential vaginal RFO events from January 1, 2000, to May 21, 2019, were analyzed by trained human factors researchers. Each narrative was reviewed to identify contributing factors, classified using the Human Factors Analysis and Classification System for Healthcare. SETTING: An 890-bed, academic medical center in Southern California. PATIENTS: Patients who underwent a vaginal procedure in which a vaginal RFO-related event occurred were included in this study. However, no patient information was included, and only the relevant details from their procedures were included. INTERVENTIONS: No interventions were developed or implemented. MEASUREMENTS AND MAIN RESULTS: Over the 19-year period, 45 events were reported. The most common items were vaginal packing and vaginal sponges (53.33%). Less frequently retained items involved broken instruments (20.20%). Most cases were laparoscopic hysterectomies or vaginal deliveries. Based on the Human Factors Analysis and Classification System, 75 contributing factors were identified, consisting primarily of preconditions for unsafe acts (communication challenges, coordination breakdowns and issues with the design of tools/technology) and unsafe acts (errors). CONCLUSION: Although rare, vaginal RFOs do occur. The top 2 contributing factors were skill-based errors and communication breakdowns. Both types of errors can be addressed and improved with human factors interventions, including simulation, teamwork training, and streamlining workflow to reduce the opportunity for errors.

Using flow disruptions to understand healthcare system safety: A systematic review of observational studies.

This systematic review provides information on the methodologies, measurements and classification systems used in observational studies of flow disruptions in clinical environments. The PRISMA methodology was applied and authors searched two databases (PubMed and Web of Science) for studies meeting the following inclusion criteria: (a) were conducted in a healthcare setting, (b) explored systems-factors leading to deviations in care processes, (c) were prospective and observational, (d) classified observations, and (e) were original research studies published in peer-reviewed journals. Thirty studies were analyzed and a variety of methods were identified for observer training, data collection and observation classification. Although primarily applied in surgery, comparable research has been successfully conducted in other venues such as trauma care, and delivery rooms. The findings of this review were synthesized into a framework of considerations for conducting rigorous methodological studies aimed at understanding clinical systems.

Applying a Human Factors Approach to Improve Patient Experience with Sacral Neuromodulation.

OBJECTIVES: To apply a human factors approach, the study of interactions between humans and complex systems, to investigate patient preparedness, satisfaction, and perceived usability with sacral neuromodulation (SNM) and develop interventions aimed at improving patient experience. MATERIALS AND METHODS: Ten patients with overactive bladder undergoing staged SNM were observed, and data including pre-operative preparedness, satisfaction, perceived usability and barriers impacting patient experience were collected. Interventions were developed and an additional ten patients were observed. All patients were English-speaking and at least 18 years of age. RESULTS: Pre-intervention patients had difficulty understanding the risks of the procedure, did not know what to expect post-operatively and were unsatisfied with pre-operative materials. Interventions included: A pre-procedure educational video and informational sheet, detailed discharge instructions; and a nursing inservice. Pre-operative preparedness (Stage I: U = 100, z = 3.785, P = .000; Stage II: U = 80, z = 2.864, P = .003), post-operative satisfaction (Stage I: U = 100, z = 3.788, P = .000; Stage II: U = 77.5, z = 2.665, P = .006.) and perceptions of usability (Stage I: U = 77.00, z = 2.056, P = .043.; Stage II: U = 80.50, z = 2.308, P = .019) increased significantly after the intervention. CONCLUSION: Our observations highlight the value of implementing a human factors approach to identify and mitigate barriers impacting patient experiences with SNM. Through the implementation of systems-level interventions (ie, interventions that impact the non-clinical aspects of surgery such as patient and/or staff education), significant improvements can be made.

The Effects of Flow Disruptions on RN Circulators.

The RN circulator role includes maintaining situational awareness and mitigating risks to patient safety in the OR. Flow disruptions-deviations that threaten the safe and efficient flow of surgery-may contribute to the occurrence of errors and negatively affect safety for patients and health care providers. We used an existing data set to explore the effects of flow disruptions on the RN circulator. To create the data set, doctoral-level human factors students observed 24 cardiac surgery procedures and recorded the types and durations of disruptions. We used a human factors taxonomy to classify the flow disruptions. Of the 1,470 events observed, interruptions were most prevalent (66.67%), followed by coordination issues (15.37%) and communication breakdowns (8.37%). Layout (7.21%), equipment (1.77%), and usability (0.61%) issues accounted for the remainder of the disruptions. Perioperative leaders should work with staff members to minimize workflow disruptions and provide support for identifying and documenting flow disruptions.

Using Flow Disruptions to Examine System Safety in Robotic-Assisted Surgery: Protocol for a Stepped Wedge Crossover Design.

BACKGROUND: The integration of high technology into health care systems is intended to provide new treatment options and improve the quality, safety, and efficiency of care. Robotic-assisted surgery is an example of high technology integration in health care, which has become ubiquitous in many surgical disciplines. OBJECTIVE: This study aims to understand and measure current robotic-assisted surgery processes in a systematic, quantitative, and replicable manner to identify latent systemic threats and opportunities for improvement based on our observations and to implement and evaluate interventions. This 5-year study will follow a human factors engineering approach to improve the safety and efficiency of robotic-assisted surgery across 4 US hospitals. METHODS: The study uses a stepped wedge crossover design with 3 interventions, introduced in different sequences at each of the hospitals over four 8-month phases. Robotic-assisted surgery procedures will be observed in the following specialties: urogynecology, gynecology, urology, bariatrics, general, and colorectal. We will use the data collected from observations, surveys, and interviews to inform interventions focused on teamwork, task design, and workplace design. We intend to evaluate attitudes toward each intervention, safety culture, subjective workload for each case, effectiveness of each intervention (including through direct observation of a sample of surgeries in each observational phase), operating room duration, length of stay, and patient safety incident reports. Analytic methods will include statistical data analysis, point process analysis, and thematic content analysis. RESULTS: The study was funded in September 2018 and approved by the institutional review board of each institution in May and June of 2019 (CSMC and MDRH: Pro00056245; VCMC: STUDY 270; MUSC: Pro00088741). After refining the 3 interventions in phase 1, data collection for phase 2 (baseline data) began in November 2019 and was scheduled to continue through June 2020. However, data collection was suspended in March 2020 due to the COVID-19 pandemic. We collected a total of 65 observations across the 4 sites before the pandemic. Data collection for phase 2 was resumed in October 2020 at 2 of the 4 sites. CONCLUSIONS: This will be the largest direct observational study of surgery ever conducted with data collected on 680 robotic surgery procedures at 4 different institutions. The proposed interventions will be evaluated using individual-level (workload and attitude), process-level (perioperative duration and flow disruption), and organizational-level (safety culture and complications) measures. An implementation science framework is also used to investigate the causes of success or failure of each intervention at each site and understand the potential spread of the interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/25284.

A Human Factors Approach to Surgical Patient Safety.

This article explores the role of human factors engineering in patient safety in surgery. The authors discuss the history and evolution of human factors and the role of human factors in patient safety and provide a description of human factors methods used to study and improve patient safety.

Discovering the barriers to efficient robotic operating room turnover time: perceptions vs. reality.

Turnover time (TOT) has remained the subject of numerous research articles and operating room (OR) committee discussions. Inefficiencies associated with TOT are multiplied when complex technology, such as surgical robots, is involved. Using a human factors approach, this study investigated impediments to efficient robotic TOT and team members' perceptions surrounding this topic. Researchers observed 20 robotic turnovers over 2 months at a tertiary hospital. TOT, cleaning time, number of staff present, bed set-up time, instrument set-up time and any major delays were recorded. Additionally, 79 OR team members completed a questionnaire regarding perceptions of OR turnover. Average TOT was 72 min (s, 24 min). Overall, cleaning required the most time (average of 27.4 min, 37.96% of TOT), followed by instrument set-up (15.4 min, 21.34% of TOT) and RN retrieval of the patient from pre-op (12 min, 17.72% of TOT). OR team members estimated that turnovers require 60.36 min. Physicians believed the greatest contributor to TOT was "time to set up the OR", while OR staff rated "instrument availability" as the greatest issue, both of which were inaccurate. OR team members' perceptions of robotic TOT and contributing factors were different from reality based on observed contributors. Data demonstrated several areas of opportunity for process improvement. These data can be used to guide the implementation of targeted interventions to improve TOT efficiency.