Abstract:The reported incidence of intraoperative retained instruments, such as needles, hangs around 0.06-0.11%. Leaving a needle inside the abdominal cavity can have significant medical and legal consequences. In addition, the retrieval can be hampered due to the limited visualization of the scope during minimally invasive surgery. Factors associated with an increased probability for NL have been described. Prevention for this situation includes: having one needle at a time inside the cavity, effective communication … Show more
“…In contrast, the idea of minimizing the impact of bedside assistants has been discussed repeatedly in recent years. 17 Especially due to the addition of a fourth robotic arm, the fundamental need of an assistant has been questioned. 18 This concept has been corroborated by multiple studies that did not show an influence of assistants on perioperative outcomes.…”
Background
Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different underlying types of learning curves have not been comparatively analyzed to date. This study aimed to determine and compare the impact that the learning curve of the department, the console surgeon, and the bedside assistant as well as patient-related factors has on the perioperative outcomes of RAPN.
Methods
The study retrospectively analyzed 500 consecutive transperitoneal RAPNs (2007–2018) performed in a tertiary referral center by 7 surgeons and 37 bedside assistants. Patient characteristics and surgical data were obtained. Experience (EXP) was defined as the current number of RAPNs performed by the department, the surgeon, and the assistant. As the primary outcome, the impact of EXP and patient-related factors on perioperative outcomes were analyzed and compared. As the secondary outcome, a cutoff between “experienced” and “inexperienced” was defined. Correlation and regression analysis, receiver operating characteristic curve analysis, Fisher’s exact test, and the Mann–Whitney
U
test were performed, with
p
values lower than 0.05 denoting significance.
Results
The EXP of the department, the surgeon, and the assistant each has a major influence on perioperative outcome in RAPN irrespective of patient-related factors. Perioperative outcomes improve significantly with EXP greater than 100 for the department, EXP greater than 35 for the surgeon, and EXP greater than 15 for the assistant.
Conclusions
The perioperative results of RAPN are influenced by three different types of learning curves including those for the surgical department, the console surgeon, and the assistant. The influence of the bedside assistant clearly has been underestimated to date because it has a significant impact on the perioperative outcomes of RAPN.
Electronic supplementary material
The online version of this article (10.1245/s10434-020-08856-1) contains supplementary material, which is available to authorized users.
“…In contrast, the idea of minimizing the impact of bedside assistants has been discussed repeatedly in recent years. 17 Especially due to the addition of a fourth robotic arm, the fundamental need of an assistant has been questioned. 18 This concept has been corroborated by multiple studies that did not show an influence of assistants on perioperative outcomes.…”
Background
Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different underlying types of learning curves have not been comparatively analyzed to date. This study aimed to determine and compare the impact that the learning curve of the department, the console surgeon, and the bedside assistant as well as patient-related factors has on the perioperative outcomes of RAPN.
Methods
The study retrospectively analyzed 500 consecutive transperitoneal RAPNs (2007–2018) performed in a tertiary referral center by 7 surgeons and 37 bedside assistants. Patient characteristics and surgical data were obtained. Experience (EXP) was defined as the current number of RAPNs performed by the department, the surgeon, and the assistant. As the primary outcome, the impact of EXP and patient-related factors on perioperative outcomes were analyzed and compared. As the secondary outcome, a cutoff between “experienced” and “inexperienced” was defined. Correlation and regression analysis, receiver operating characteristic curve analysis, Fisher’s exact test, and the Mann–Whitney
U
test were performed, with
p
values lower than 0.05 denoting significance.
Results
The EXP of the department, the surgeon, and the assistant each has a major influence on perioperative outcome in RAPN irrespective of patient-related factors. Perioperative outcomes improve significantly with EXP greater than 100 for the department, EXP greater than 35 for the surgeon, and EXP greater than 15 for the assistant.
Conclusions
The perioperative results of RAPN are influenced by three different types of learning curves including those for the surgical department, the console surgeon, and the assistant. The influence of the bedside assistant clearly has been underestimated to date because it has a significant impact on the perioperative outcomes of RAPN.
Electronic supplementary material
The online version of this article (10.1245/s10434-020-08856-1) contains supplementary material, which is available to authorized users.
“…Unexpected changes in surgical items and surgical team members make accurate counting and documentation more challenging and increase chances for communication failure between team members [2,3,9,17,20,22,24,26,[30][31][32]. The JC has identified failure of communication, absence/non-compliance with RSI policies and intimidation resulting from hierarchal concerns amongst the surgical team as the main contributing factors for RSI events [12,24,29,33,34].…”
Section: Risk Factorsmentioning
confidence: 99%
“…Manual counting has been the mainstay for prevention of hard RSIs, however, even with development of new counting techniques and protocols, counting discrepancies remain a common event [12,39,40,55]. Studies report counting discrepancies occurring as often as 1 in every 8 cases, with sharps (typically needles) being the most miscounted item [7,12,30], followed by instruments and instrument fragments [17,18,55]. Incorrect manual counts are responsible for RSIs in approximately 62 to 88% of RSI events, and in approximately 20-50% of RSI events the surgeon proceeded with closing the patient even though at least one person was aware of a count discrepancy [3,7,56].…”
Background
A retained surgical item (RSI) is defined as a never-event and can have drastic consequences on patient, provider, and hospital. However, despite increased efforts, RSI events remain the number one sentinel event each year. Hard foreign bodies (e.g. surgical sharps) have experienced a relative increase in total RSI events over the past decade. Despite this, there is a lack of literature directed towards this category of RSI event. Here we provide a systematic review that focuses on hard RSIs and their unique challenges, impact, and strategies for prevention and management.
Methods
Multiple systematic reviews on hard RSI events were performed and reported using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and AMSTAR (Assessing the methodological quality of systematic reviews) guidelines. Database searches were limited to the last 10 years and included surgical “sharps,” a term encompassing needles, blades, instruments, wires, and fragments. Separate systematic review was performed for each subset of “sharps”. Reviewers applied reciprocal synthesis and refutational synthesis to summarize the evidence and create a qualitative overview.
Results
Increased vigilance and improved counting are not enough to eliminate hard RSI events. The accurate reporting of all RSI events and near miss events is a critical step in determining ways to prevent RSI events. The implementation of new technologies, such as barcode or RFID labelling, has been shown to improve patient safety, patient outcomes, and to reduce costs associated with retained soft items, while magnetic retrieval devices, sharp detectors and computer-assisted detection systems appear to be promising tools for increasing the success of metallic RSI recovery.
Conclusion
The entire healthcare system is negatively impacted by a RSI event. A proactive multimodal approach that focuses on improving team communication and institutional support system, standardizing reports and implementing new technologies is the most effective way to improve the management and prevention of RSI events.
“…Medina et al stated that it i s important to implement preventive measures against losing needles and that appropriate and clear communication between team members is important 2…”
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