Interventions for the Prevention of Retained Surgical Items: A Systematic Review

Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review

Retained surgical items (RSIs) can lead to severe complications, and infections, with morbidity rates up to 84.32%. Computer-aided detection (CAD) systems offer potential advancement in enhancing the detection of RSIs. This systematic review aims to summarise the characteristics of CAD systems developed for the detection of RSIs, evaluate their development, effectiveness, and limitations, and propose opportunities for enhancement. The systematic review adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020 guidelines. Studies that have developed and evaluated CAD systems for identifying RSIs were eligible for inclusion. Five electronic databases were searched from inception to March 2023 and eleven studies were found eligible. The sensitivity of CAD systems ranges from 0.61 to 1 and specificity varied between 0.73 and 1. Most studies utilised synthesised RSI radiographs for developing CAD systems which raises generalisability concerns. Moreover, deep learning-based CAD systems did not incorporate explainable artificial intelligence techniques to ensure decision transparency.

Retained Foreign Object Signals a Dangerous Atmosphere in the Operating Room

A retained foreign object (RFO), also known as an unintentionally retained foreign object (URFO) or a retained surgical item (RSI), is an object retained after skin closure following an invasive procedure. After falls, it is the second most reported sentinel event (SE). Several factors increase the risk of RFO: intraoperative blood loss, longer duration of operation, more sub-procedures, lack of (or incorrect) surgical counts, more than one surgical team, and unexpected intraoperative factors. Unclear policies regarding the counting responsibility, the handling of surgical specimens, the involvement of two surgical teams, and the improper hand-off with a shift of the surgical technician represent other important contributing factors. Technologies, such as bar-coded sponges to aid in accurate counting and radiofrequency identification (RFID)-tagged sponges to provide intraoperative counting and detection, have shown to decrease the incidence of RFOs. However, the adoption of these technologies has been limited. Furthermore, the extremely high percentage of falsely "correct counts" points to the critical role of an unsafe operating ooom (OR) culture in the genesis of RFOs. We argue that the RFO is the dead canary: just as the dead bird signals the presence of lethal gas in the coal mine, the RFO signals the presence of a dangerous culture in the OR. Eliminating RFOs requires a multipronged strategy. OR staff should be reminded that failure can and will happen and they need to remain vigilant. Every team member should be capable and responsible to prevent the compounding of errors. Counting policy should be standardized mandating when, what, how, and by whom surgical counts are performed and documented. When policy is ignored or violated, OR staff should be involved in reviewing and revising the policy. However, commitment to safety requires leadership to provide appropriate resources and to role model core organizational values.

Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review

Retained surgical items (RSIs) pose significant risks to patients and healthcare professionals, prompting extensive efforts to reduce their incidence. RSIs are objects inadvertently left within patients' bodies after surgery, which can lead to severe consequences such as infections and death. The repercussions highlight the critical need to address this issue. Machine learning (ML) and deep learning (DL) have displayed considerable potential for enhancing the prevention of RSIs through heightened precision and decreased reliance on human involvement. ML techniques are finding an expanding number of applications in medicine, ranging from automated imaging analysis to diagnosis. DL has enabled substantial advances in the prediction capabilities of computers by combining the availability of massive volumes of data with extremely effective learning algorithms. This paper reviews and evaluates recently published articles on the application of ML and DL in RSIs prevention and diagnosis, stressing the need for a multi-layered approach that leverages each method's strengths to mitigate RSI risks. It highlights the key findings, advantages, and limitations of the different techniques used. Extensive datasets for training ML and DL models could enhance RSI detection systems. This paper also discusses the various datasets used by researchers for training the models. In addition, future directions for improving these technologies for RSI diagnosis and prevention are considered. By merging ML and DL with current procedures, it is conceivable to substantially minimize RSIs, enhance patient safety, and elevate surgical care standards.

The Retained Surgical Items Risk Assessment Scale: Development and Psychometric Characteristics

INTRODUCTION

Retained surgical items in operating rooms (ORs) continue to contribute significantly to medical errors. The first step in addressing the problem of retained surgical items is to identify the main risk factors. Identification of risk factors can impact OR standards and reduce such errors.

METHODS

The research included 270 participants. The data of the study were collected with the Sociodemographic and Clinical Characteristics Form, Operating Room Count Control Form and the Retained Surgical Items Risk Assessment Scale developed. In the analysis of the data, Content Validity Index, Cronbach α, item-total score correlation, Kuder-Richardson, Kappa, exploratory and confirmatory factor analysis, and Receiver Operating Characteristic (ROC) curve analysis were performed.

RESULTS

The Content Validity Index of the scale was 0.92. Kappa value was 0.993. The explained variance in the exploratory factor analysis of the scale was 50.03%. After confirmatory factor analysis, two factors were obtained for the final version of the 15 items. Factors had been determined as "Count and Surgery" and "Equipment". Among the subdimensions of the scale, Cronbach's α values were between 0.742 and 0.760, and 0.722 for the entire scale. When the ROC analysis results were examined, the cut-off point was ≥8, the specificity was 93.13%, and the sensitivity was 87.50%. The area under the ROC curve was calculated as 0.938.

CONCLUSIONS

The scale was presented as a valid and reliable measurement tool developed to assess the Retained Surgical Items Risk in ORs. If high-risk patients are checked and necessary precautions are taken before leaving the ORs, the incidence of retained surgical items can be significantly reduced.

Retained foreign objects after routine cataract surgery: a systematic review

PURPOSE

Retained foreign objects (RFOs) can place patients undergoing cataract surgery at risk for significant vision-threatening complications. In this systematic review, we examine the characteristics, clinical outcomes, and management of RFOs originating from surgical instruments or the surgical field after routine cataract surgery.

METHODS

Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we searched five databases in June 2023. The inclusion criteria were peer-reviewed, full-text, English-language articles describing RFOs after routine cataract surgery. Studies that described non-routine cataract surgeries, patients with a history of ocular trauma, or organic RFOs were excluded. Two investigators independently extracted data and appraised the methodological quality of each study using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE).

RESULTS

Twenty-eight studies were included in our qualitative synthesis describing metal, fiber, and plastic RFOs. Typically, the RFOs were detected during surgery or slit-lamp examination. Presentations of patients with metal or fiber RFOs varied, with some being asymptomatic. Patients with plastic RFOs were usually symptomatic, often with decreased visual acuity and/or anterior chamber inflammation. Metal RFOs may have originated from metal fatigue from prolonged instrument usage and contact between surgical instruments, fiber RFOs from surgical wipes and gauzes, and plastic RFOs from instrument wrapping and intraocular lens defects. Factors such as location, biocompatibility, and secondary intraocular inflammation influenced the decision to surgically remove RFOs. Following surgical removal, the signs and symptoms resolved in most patients with RFOs. The studies' GRADE ratings indicated limitations in risk of bias and imprecision.

CONCLUSION

The presentation and management of RFOs varied depending on the type of material. To prevent RFOs, clinicians should carefully inspect surgical instruments and packs and use fiber-free wipes, towels, and gauzes. Future studies should investigate the efficacy and cost-effectiveness of different RFO prevention strategies.

Reducing Retained Foreign Objects in the Operating Room: A Quality Improvement Initiative

BACKGROUND

Although the incidence of pediatric retained foreign objects (RFOs) during surgery is diminutive (1/32,000), RFOs are often the most common sentinel events reported. In 2021, our institution noted an increase in RFOs evidenced by a substantial decrease in days between events. We aimed to minimize the incidence of RFO which was measured as an increase of days between events at our institution by implementation of a Quality Improvement initiative.

STUDY DESIGN

This effort was conducted across 4 surgical centers within a tertiary children's healthcare system in December 2021. Patients undergoing surgery within this healthcare system across all surgical specialties were included. The quality improvement initiative was developed by a multidisciplinary team and included 6 steps focusing on quiet time, minimizing interruptions, and closed-loop communication during final surgical count. Seven Plan-Do-Study-Act cycles were used to test, refine, and implement the protocol. Adherence to the final surgical count protocol was monitored throughout the study period.

RESULTS

In 2021, before protocol implementation, average time between RFO events was 29 days. After implementation of our quality initiative, the final surgical count protocol, we improved to 451 days between RFO events by February 2023, exceeding the upper control limit (235 days). After implementation, the number of RFO events dropped from 7 in 2021 to 0 in 2022. Adherence to the final surgical count protocol implementation was 96.4% by the end of cycle 7.

CONCLUSIONS

RFOs during pediatric surgical procedures can be successfully reduced using quality improvement methodology focusing on standardizing the procedure of the final surgical count.

A Multicenter Collaborative Effort to Reduce Preventable Patient Harm Due to Retained Surgical Items

BACKGROUND

Unintentional retention of surgical items is severe but preventable patient harm in surgical procedures. One multicenter health care organization experienced a harm event due to retained surgical items (RSIs) every eight days in 2019-2020. The research team sought to reduce the incidence of harm due to RSIs, improve near-miss reporting, and increase process reliability in operating rooms across the organization.

METHODS

A total of 114 health care facilities in the organization were invited to participate in a multistate, multicenter patient safety initiative to reduce patient harm caused by RSIs. A national-level workgroup comprising various disciplines proposed an evidence-based best practice bundle with five elements: surgical stop, surgical debrief, visual counter, imaging, and reporting of deviations. The workgroup ensured that extensive education and support were accessible to all the participating sites. The researchers monitored the process reliability of bundle elements and improvement milestones of all the sites, along with rates of harm related to RSIs.

RESULTS

Implementing the evidence-based RSI reduction bundle across 114 health care facilities resulted in a 14.3% reduction in the rate of harm caused by RSIs and a 59.1% increase in RSI near-miss reporting. The compliance to the RSI bundle reached an average of 70.5%, and 63.2% of the facilities are actively performing Plan-Do-Check-Act (PDCA) cycles to improve bundle compliance continually.

CONCLUSION

Implementation of an RSI bundle can be done reliably, can improve near-miss reporting, and can reduce patient harm. Variation in process reliability between centers suggests the significance of overcoming cultural and organizational barriers.

Risk Reduction Strategy to Decrease Incidence of Retained Surgical Items

BACKGROUND

Retained surgical items (RSIs) are rare but serious events associated with significant morbidity and costs. We assessed the effectiveness of radiofrequency (RF) detection technology and Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) in reducing the incidence of RSIs.

STUDY DESIGN

All RSIs reported to the New York Patient Occurrence Reporting and Tracking System at five large urban teaching hospitals from 2007 to 2017 were analyzed. In 2012, TeamSTEPPS training was provided to all perioperative staff at each site, and use of RF detection became required in all procedures. The incidence of events before and after the interventions were compared using odds ratios.

RESULTS

A total of 997,237 operative procedures were analyzed. After the interventions, the incidence of RSIs decreased from 11.66 to 5.80 events per 100,000 operations (odds ratio [OR] [95% CI] = 0.50 [0.32 to 0.78]). The frequency of RSIs involving RF-detectable items decreased from 5.21 to 1.35 events per 100,000 operations (OR [95% CI] = 0.26 [0.11 to 0.60]). The difference in RSIs involving non-RF-detectable surgical items was not statistically significant.

CONCLUSIONS

The incidence of RSIs was significantly lower during the time period after implementing RF detection technology and after TeamSTEPPS training, primarily driven by a decrease in retained RF-detectable items. RF detection technology may be worth pursuing for hospitals looking to decrease RSI frequency. The benefit of TeamSTEPPS training alone may not result in a reduction of RSIs.