Observed rates of surgical instrument errors point to visualization tasks as being a critically vulnerable point in sterile processing and a significant cause of lost chargeable OR minutes.

BACKGROUND: The reporting of surgical instrument errors historically relies on cumbersome, non-automated, human-dependent, data entry into a computer database that is not integrated into the electronic medical record. The limitations of these reporting systems make it difficult to accurately estimate the negative impact of surgical instrument errors on operating room efficiencies. We set out to determine the impact of surgical instrument errors on a two-hospital healthcare campus using independent observers trained in the identification of Surgical Instrument Errors. METHODS: This study was conducted in the 7 pediatric ORs at an academic healthcare campus. Direct observations were conducted over the summer of 2021 in the 7 pediatric ORs by 24 trained student observers during elective OR days. Surgical service line, error type, case type (inpatient or outpatient), and associated length of delay were recorded. RESULTS: There were 236 observed errors affecting 147 individual surgical cases. The three most common errors were Missing+ (n = 160), Broken/poorly functioning instruments (n = 44), and Tray+ (n = 13). Errors arising from failures in visualization (i.e. inspection, identification, function) accounted for 88.6% of all errors (Missing+/Broken/Bioburden). Significantly more inpatient cases (42.73%) had errors than outpatient cases (22.32%) (p = 0.0129). For cases in which data was collected on whether an error caused a delay (103), over 50% of both IP and OP cases experienced a delay. The average length of delays per case was 10.16 min. The annual lost charges in dollars for surgical instrument associated delays in chargeable minutes was estimated to be between $6,751,058.06 and $9,421,590.11. CONCLUSIONS: These data indicate that elimination of surgical instrument errors should be a major target of waste reduction. Most observed errors (88.6%) have to do with failures in the visualization required to identify, determine functionality, detect the presence of bioburden, and assemble instruments into the correct trays. To reduce these errors and associated waste, technological advances in instrument identification, inspection, and assembly will need to be made and applied to the process of sterile processing.

Safety in Teletriage by Nurses and Physicians in the United States and Israel: Narrative Review and Qualitative Study.

BACKGROUND: The safety of telemedicine in general and telephone triage (teletriage) safety in particular have been a focus of concern since the 1970s. Today, telehealth, now subsuming teletriage, has a basic structure and process intended to promote safety. However, inadequate telehealth systems may also compromise patient safety. The COVID-19 pandemic accelerated rapid but uneven telehealth growth, both technologically and professionally. Within 5-10 years, the field will likely be more technologically advanced; however, these advances may still outpace professional standards. The need for an evidence-based system is crucial and urgent. OBJECTIVE: Our aim was to explore ways that developed teletriage systems produce safe outcomes by examining key system components and questioning long-held assumptions. METHODS: We examined safety by performing a narrative review of the literature using key terms concerning patient safety in teletriage. In addition, we conducted system analysis of 2 typical formal systems, physician led and nurse led, in Israel and the United States, respectively, and evaluated those systems' respective approaches to safety. Additionally, we conducted in-depth interviews with representative physicians and 1 nurse using a qualitative approach. RESULTS: The review of literature indicated that research on various aspects of telehealth and teletriage safety is still sparse and of variable quality, producing conflicting and inconsistent results. Researchers, possibly unfamiliar with this complicated field, use an array of poorly defined terms and appear to design studies based on unfounded assumptions. The interviews with health care professionals demonstrated several challenges encountered during teletriage, mainly making diagnosis from a distance, treating unfamiliar patients, a stressful atmosphere, working alone, and technological difficulties. However, they reported using several measures that help them make accurate diagnoses and reasonable decisions, thus keeping patient safety, such as using their expertise and intuition, using structured protocols, and considering nonmedical factors and patient preferences (shared decision-making). CONCLUSIONS: Remote encounters about acute, worrisome symptoms are time sensitive, requiring decision-making under conditions of uncertainty and urgency. Patient safety and safe professional practice are extremely important in the field of teletriage, which has a high potential for error. This underregulated subspecialty lacks adequate development and substantive research on system safety. Research may commingle terminology and widely different, ill-defined groups of decision makers with wide variation in decision-making skills, clinical training, experience, and job qualifications, thereby confounding results. The rapid pace of telehealth's technological growth creates urgency in identifying safe systems to guide developers and clinicians about needed improvements.

The effect of font boldness, noise disturbance and time pressure on human error in the context of cloud change operation.

This study investigated the number of operator errors, task completion time, and workload of subjects at different levels by imposing conditions such as focused text boldness, noise disturbance, and time pressure to simulate a realistic cloud change business process in the laboratory. Results of the study showed that the text bolding of important content reduced the number of errors, whereas noise interference increased the number of errors. Text boldness only reduced the number of corrected errors, and noise interference only increased the number of uncorrected errors. Moreover, bolding was found to have different effects on the number of errors under different noise levels and time pressure levels, with text boldness significantly reducing the number of total errors only in quiet or low time pressure states. Time pressure had no effect on cloud change task error counts, but high time pressure resulted in higher subjective workload.

Operator error is one of the main causes of service failure, and reducing operator error in cloud change operations is of practical importance. In this study, we found focused text boldness could reduce operator errors, while noise could increase the number of errors. High time pressure would lead to a high workload.

Evaluation of human error in oil spill risk in tanker cargo handling operations.

Cargo handling operations on board tankers pose a significant threat to the cleanliness and health of the ocean ecosystem. Incidents originating from these operations are often attributed to human error, as widely acknowledged. Therefore, it is crucial to control the human factor involved in these operations to enhance ship safety and foster a sustainable, clean marine environment. To tackle this problem, this paper presents a novel model that identifies the causal factors behind oil spills resulting from crew failure in these operations. To attain this, fuzzy Bayesian network (FBN) approach is used in this study to analyse the probabilistic correlations among the causal elements that are disclosed qualitatively and quantitatively. Sensitivity analyses and validation procedures are carried out to enhance the accuracy of results. Eliminating errors in cargo calculation is of paramount importance as research has shown that such errors lead to the largest impact on spill during loading and discharging (L&D) operations. The study's findings offer valuable insights into the causes of L&D operation-related spills. Ship management companies, the loss-prevention division of Protection and Indemnity Clubs (P&I), and regulatory bodies may employ the research results to prevent spill repetitions and protect the marine environment.

Using HFACS to understand human error in railway dispatcher performance: a study of proactive safety inspection records.

This study analyzes 4,095 proactive safety inspection records obtained from a large dispatching centre by utilising the HFACS framework. These proactive safety inspection records offer comprehensive documentation of incidents, capturing major accidents and numerous minor discrepancies and lapses that often go unnoticed in accident reports. The analysis revealed that most incidents were attributed to unsafe actions, primarily skill-based errors and poor decision-making. Additionally, contributing factors such as adverse mental states, personal readiness, and crew resource management were found to play a significant role as preconditions for unsafe acts. Path analyses further established a significant correlation between factors such as unsafe supervision, preconditions for unsafe acts, and the occurrence of unsafe acts. In our discussion, we critically evaluate the strengths and limitations of proactive safety inspection records in safety research. Moreover, we emphasise these findings' potential to enhance safety within the railway industry.

Based on a substantial dataset comprising proactive safety inspection records of railway dispatchers rather than the incident reports utilised in prior studies, this paper presents a causal model of human error among railway dispatchers in combination with HFACS and critically evaluates the strengths and limitations of active safety inspection records.

Validation of a method to assess the severity of medication administration errors in Brazil.

INTRODUCTION: Medication errors are frequent and have high economic and social impacts; however, some medication errors are more likely to result in harm than others. Therefore, it is critical to determine their severity. Various tools exist to measure and classify the harm associated with medication errors; although, few have been validated internationally. METHODS: We validated an existing method for assessing the potential severity of medication administration errors (MAEs) in Brazil. Thirty healthcare professionals (doctors, nurses and pharmacists) from Brazil were invited to score 50 cases of MAEs as in the original UK study, regarding their potential harm to the patient, on a scale from 0 to 10. Sixteen cases with known harmful outcomes were included to assess the validity of the scoring. To assess test-retest reliability, 10 cases (of the 50) were scored twice. Potential sources of variability in scoring were evaluated, including the occasion on which the scores were given, the scorers, their profession and the interactions among these variables. Data were analysed using generalisability theory. A G coefficient of 0.8 or more was considered reliable, and a Bland-Altman analysis was used to assess test-retest reliability. RESULTS: To obtain a generalisability coefficient of 0.8, a minimum of three judges would need to score each case with their mean score used as an indicator of severity. The method also appeared to be valid, as the judges' assessments were largely in line with the outcomes of the 16 cases with known outcomes. The Bland-Altman analysis showed that the distribution was homogeneous above and below the mean difference for doctors, pharmacists and nurses. CONCLUSION: The results of this study demonstrate the reliability and validity of an existing method of scoring the severity of MAEs for use in the Brazilian health system.

El rol del factor humano en el éxito de la práctica clínica odontológica / The role of the human factor in the success of dental clinical practice

Resumen Los fracasos y complicaciones en el campo de la cirugía bucal son analizados generalmente desde un punto de vista técnico o biológico. En términos generales, a partir del espíritu fragmentario del conocimiento, se tiende a enfocar la atención odontológica en la parte técnica y teórica. Actualmente se están produciendo cambios socioculturales que están generando modificaciones en los paradigmas de la atención odontológica, considerando también la comunicación con el paciente y la situación psicológica tanto del paciente como del equipo profesional. En este editorial se busca reflexionar sobre estos temas analizando perspectivas más integradas para lograr un mayor equilibrio en la atención profesional.

Abstract Failures and complications in the field of oral surgery are generally analyzed from a technical or biological point of view. In general terms, based on the fragmentary spirit of knowledge, dental care tends to be focused on the technical and theoretical knowledge. We are currently witnessing sociocultural changes that are producing modifications in the paradigms of dental care, also considering communication with the patient and the psychological situation of both the patient and the professional team. This editorial seeks to reflect on these issues, considering the most integrated visions to achieve greater balance in professional care.

Examining post-error performance in a complex multitasking environment.

Previous work on indices of error-monitoring strongly supports that errors are distracting and can deplete attentional resources. In this study, we use an ecologically valid multitasking paradigm to test post-error behavior. It was predicted that after failing an initial task, a subject re-presented with that task in conflict with another competing simultaneous task, would more likely miss their response opportunity for the competing task and stay 'tunneled' on the initially errored task. Additionally, we predicted that an error's effect on attention would dissipate after several seconds, making error cascades less likely when subsequent conflict tasks are delayed. A multi-attribute task battery was used to present tasks and collect measures of both post-error and post-correct performance. Results supported both predictions: post-error accuracy on the competing task was lower compared to post-correct accuracy, and error-proportions were higher at shorter delays, dissipating over time. An exploratory analysis also demonstrated that following errors (as opposed to post-correct trials), participants clicked more on the task panel of the initial error regardless of delay; this continued task-engagement provides preliminary support for errors leading to a cognitive tunneling effect.

Just Culture: How Do We Address Risky and Unprofessional Behaviors that Lead to Errors?

Unprofessional behavior in the procedural arena is associated with worse patient outcomes. This is thought to be due to breakdowns in communication structures and team dynamics. Behavioral issues are often uncovered during the investigation of serious event reports. Understanding differences in behavior deviations enables leadership to best address each type with an appropriate response. This allows institutions to address reckless behavior and unprofessionalism, while concomitantly creating a culture that fosters trust to promote self-reporting and sharing of information. These are characteristics of high-reliability organizations that produce sustained excellence in patient outcomes.

Texting is caring: a content analysis of clinical text messages by hospitalists.

BACKGROUND: Clinical texting systems (CTS) are widely used in hospitals for team communication about patients. With more institutions adopting such systems, there is a need to understand how texting is being used in clinical practice. METHODS: We conducted content analysis of 809 randomly selected message threads sent to and from hospitalists in a 9-month window. The process, purpose and content of messages were analysed. We also examined messages for personal content (to identify whether CTS was being used for professional matters) and discussion of near miss errors. The risk levels of these near misses were also assessed. RESULTS: Most messages focused on clinical management of patient needs (62%; n=498) and functioned to provide a notification or update regarding clinical care (64%; n=518) or make a request of the recipient (63%; n=510). Personal content was infrequent in message threads (10%; n=80). Five per cent (n=38) of message threads included discussion of a near miss, and most near misses posed low clinical risk overall (66%; n=25). CONCLUSION: Most CTS communication centred around direct clinical management. Fewer messages were focused on non-clinical areas such as administrative tasks or personal communication. Further examination of care delivery, error communication and the consequences of the care discussed in messages would help clinical leaders understand the impact of clinical texting on teamwork and quality of care.

Slicing Through the Layers of Pediatric Unintentional Injury With the Swiss Cheese Model: A Topical Review.

Pediatric unintentional injury significantly burdens children, families, and society. Behavioral researchers have examined the problem for decades, identifying many risk factors and greatly enhancing knowledge of the injury antecedent process. Approaches using theories and models to guide inquiry into etiology and prevention are still needed. We offer an approach borrowed from the field of human factors to enhance understanding and prevention. We focus our exploration on an error modeling and accident investigation tool called the Swiss Cheese Model. We first introduce the basic elements of the model. Next, we apply error modeling concepts to example scenarios drawn from real unintentional incidents and discuss the implications for understanding etiology and prevention. Finally, potential future directions are discussed to illustrate paths for the advancement of injury etiology and prevention.

Complication Avoidance in Neurosurgery with Use of Intraoperative Ultrasonography.

Intraoperative ultrasonography is an extremely valuable tool for avoidance of complications during neurosurgical procedures, including resection of intracranial and spinal cord tumors, removal of spontaneous intracerebral hemorrhages and arteriovenous malformations, and ventricular access for shunt placements. Nevertheless, application of this highly useful technique may be accompanied by some challenges and difficulties, as well as human errors; thus, it requires specific knowledge and continuous training.

Fluid dynamic design for mitigating undesired cell effects and its application to testis cell response testing to endocrine disruptors.

Microfluidic devices have emerged as powerful tools for cell-based experiments, offering a controlled microenvironment that mimic the conditions within the body. Numerous cell experiment studies have successfully utilized microfluidic channels to achieve various new scientific discoveries. However, it has been often overlooked that undesired and unnoticed propagation of cellular molecules in such bio-microfluidic channel systems can have a negative impact on the experimental results. Thus, more careful designing is required to minimize such unwanted issues through deeper understanding and careful control of chemically and physically predominant factors at the microscopic scale. In this paper, we introduce a new approach to improve microfluidic channel design, specifically targeting the mitigation of the aforementioned challenges. To minimize the occurrence of undesired cell positioning upstream from the main test section where a concentration gradient field locates, an additional narrow port structure was devised between the microfluidic upstream channel and each inlet reservoir. This port also functioned as a passive lock that hold the flow at rest via fluid-air surface tension, which facilitated manual movement of the device even when cell attachment was not achieved completely. To demonstrate the practicability of the system, we conducted experiments and diffusion simulations on the effect of endocrine disruptors on germ cells. To this end, a bisphenol-A (BPA) concentration gradient was generated in the main channel of the system at BPA concentrations ranging from 120.8 µM to 79.3 µM, and the proliferation of GC-1 cells in the BPA gradient environment was quantitatively evaluated. The features and concepts of the introduced design is to minimize unexpected and ignored error sources, which will be one of the issues to be considered in the development of microfluidic systems to explore extremely delicate cellular phenomena.

The application of human reliability analysis to carpal tunnel decompression.

INTRODUCTION: Many surgical procedures are prone to human error, particularly in the learning phase of skills acquisition. Task standardisation has been suggested as an approach to reducing errors, but it fails to account for the human factors associated with learning. Human reliability analysis (HRA) is a structured approach to assess human error during surgery. This study used HRA methodologies to examine skills acquisition associated with carpal tunnel decompression. METHODS: The individual steps or subtasks required to complete a carpal tunnel decompression were identified using hierarchical task analysis (HTA). The systematic human error reduction and prediction approach (SHERPA) was carried out by consensus of subject matter experts. This identified the potential human errors at each subgoal, the level of risk associated with each task and how these potential errors could be prevented. RESULTS: Carpal tunnel decompression was broken down into 46 subtasks, of which 21 (45%) were medium risk and 25 (55%) were low risk. Of the 46 subtasks, 4 (9%) were assigned high probability and 18 (39%) were assigned medium probability. High probability errors (>1/50 cases) included selecting incorrect tourniquet size, failure to infiltrate local anaesthetic in a proximal-to-distal direction and completion of the World Health Organization (WHO) surgical sign-out. Three (6%) of the subtasks were assigned high criticality, which included failure to aspirate before anaesthetic injection, whereas 21 (45%) were assigned medium criticality. Remedial strategies for each potential error were devised. CONCLUSIONS: The use of HRA techniques provides surgeons with a platform to identify critical steps that are prone to error. This approach may improve surgical training and enhance patient safety.

"It's probably an STI because you're gay": a qualitative study of diagnostic error experiences in sexual and gender minority individuals.

BACKGROUND: There is a critical need to identify specific causes of and tailored solutions to diagnostic error in sexual and gender minority (SGM) populations. PURPOSE: To identify challenges to diagnosis in SGM adults, understand the impacts of patient-reported diagnostic errors on patients' lives and elicit solutions. METHODS: Qualitative study using in-depth semistructured interviews. Participants were recruited using convenience and snowball sampling. Recruitment efforts targeted 22 SGM-focused organisations, academic centres and clinics across the USA. Participants were encouraged to share study details with personal contacts. Interviews were analysed using codebook thematic analysis. RESULTS: Interviewees (n=20) ranged from 20 to 60 years of age with diverse mental and physical health symptoms. All participants identified as sexual minorities, gender minorities or both. Thematic analysis revealed challenges to diagnosis. Provider-level challenges included pathologisation of SGM identity; dismissal of symptoms due to anti-SGM bias; communication failures due to providers being distracted by SGM identity and enforcement of cis-heteronormative assumptions. Patient-level challenges included internalised shame and stigma. Intersectional challenges included biases around factors like race and age. Patient-reported diagnostic error led to worsening relationships with providers, worsened mental and physical health and increased self-advocacy and community-activism. Solutions to reduce diagnostic disparities included SGM-specific medical education and provider training, using inclusive language, asking questions, avoiding assumptions, encouraging diagnostic coproduction, upholding high care standards and ethics, involving SGM individuals in healthcare improvement and increasing research on SGM health. CONCLUSIONS: Anti-SGM bias, queerphobia, lack of provider training and heteronormative attitudes hinder diagnostic decision-making and communication. As a result, SGM patients report significant harms. Solutions to mitigate diagnostic disparities require an intersectional approach that considers patients' gender identity, sexual orientation, race, age, economic status and system-level changes.

Inadvertent Epidural and Intravenous Line Swap: A Case Report.

Administration of medication via the wrong administration route has the potential for serious morbidity and mortality. Regrettably, because of the ethical implications in such situations, most of our knowledge comes from case reports. This paper reports on the accidental misconnection of intravenous acetaminophen to an epidural line and of the patient-controlled epidural analgesia (PCEA) pump to intravenous access, as a result of patient error. A male patient aged 60-65 years, 80 kg, American Society of Anesthesiologists (ASA) physical status III presented for unilateral total knee arthroplasty under a combined spinal-epidural anaesthesia technique. For postoperative analgesia, a multimodal analgesia regimen including acetaminophen, in combination with a PCEA pump, was selected. During the night, the patient disconnected and reconnected the drug administration lines, resulting in an epidural/intravenous misconnection. After six unsupervised hours, a total of 114 mg of ropivacaine was administered intravenously and the acetaminophen vial, at this time connected to the epidural catheter, was found empty. A full physical examination by the on-call anaesthesiologist showed no abnormal findings and the nursing staff and patient were instructed on signs to look out for and how to monitor for complications. This case highlights the risks associated with intravenous/epidural line misconnection, as well as the impactful variable the patient represents when admitted to a lower vigilance infirmary. This makes it evident that more safety developments are needed to ensure the utmost quality of care is provided to all patients.

Qualitative study on experience of healthcare staff who have undergone a hybrid root cause analysis training programme.

BACKGROUND: Root cause analysis (RCA) is a structured investigation methodology aimed at identifying systems factors to prevent recurrence of incidents. To enhance staff's knowledge and skills, a hybrid RCA training course was conducted in February 2021. Overseas instructors conducted training online and local participants attended the training together physically with onsite facilitator support. This study aimed at understanding the experiences of trainees who have undergone the training, evaluated its effectiveness and identified opportunities to enhance RCA training quality in the future. METHODS: A qualitative study using virtual synchronous focus group interviews was conducted. Purposive sampling was adopted to invite all trainees from the RCA training course to join. A semistructured interview was used to guide the study participants to share their experiences. All groups were audio-recorded, transcribed verbatim and anonymised for data analysis. RESULTS: Overall, 6 focus groups with 19 participants were held between July and November 2021. Five key themes were identified including: (1) training contents, (2) perceptions of RCA, (3) challenges in RCA, (4) hybrid training and (5) future perspectives. Participants felt the RCA training was useful and broadened their understanding in incident investigation. More in-depth training in interviewing skills, report writing with practical sessions could further enhance their competencies in RCA. Participants accepted the use of hybrid online-offline training well. Most participants would welcome an independent organisation to conduct RCA as findings would be more objective and recommendations more effective. CONCLUSIONS: This study provided an evaluation on the effectiveness of a hybrid RCA training course. Healthcare and training organisations can consider this training mode as it could reduce the cost of training and enhance flexibility in course arrangement while preserving quality and effectiveness. Virtual focus groups to interview participants were found to be convenient as it minimised travelling time and onsite arrangement while maintaining the quality of discussion.

Identification errors in medical research: Privacy at all costs?

In laboratory medicine, a misidentified patient sample can lead to an incorrect tissue diagnosis, a potentially fatal blood transfusion error or other serious adverse events. Although well characterised in routine patient care, the overall impacts of misidentification errors in the clinical research setting are less conspicuous but potentially greater, with downstream effects that may extend beyond care at an individual level. When data discrepancies or queries arise in clinical trial data then a data clarification form (DCF) is issued to the researcher by the overseeing trial coordinator or sponsor. Higher rates of DCF's are sometimes used as a crude surrogate marker of poorer trial quality. However, data is scarce on misidentification rates in clinical trials. In five clinical trials involving 822 histology or blood specimens analysed by our pathology department, DCF's were issued for 21% (174) of specimens. Amongst these 67% (117 / 174) were related to sample identification. Although these errors were recognised before data was compromised or an adverse event occurred, they highlight an alarming lack of stringency of use of patient identifiers in the research setting. We therefore propose the use of an appropriate number of de-identified data points and a formalised specimen accession process as employed in routine care to mitigate misidentification errors and their impact in clinical research. Increased recognition in the research community of the likely effect of truncating or reducing the number of patient identifiers is needed to minimise misidentification errors in the research setting.

Quantification of human behavior levels by extending Rasmussen's SRK model and the effects of time pressure and training on the levels switching.

Human factor-related accidents account for an increasing portion of the total accidents through the advancing level of system automation. Human reliability becomes the key issue in human-machine systems especially for safety-relevant tasks and operations. Rasmussen's SRK (skill-rule-knowledge) model is well known in the field of human factors. Likewise, it is well known that skill-based behaviors have the highest human reliability, while knowledge-based behaviors are associated with the lowest reliability scores. Although numerous studies exist on human error probability (HEP), correspondingly typically attributed directly or indirectly to these three levels of behavior, a coherent, consistent representation, especially using data sources, has not been available. In this contribution, the quantification of human behavior levels with Rasmussen's SRK model is given based on three databases for the first time. Effects of time pressure and training on human reliability switching are also analyzed based on related publications. To determine the HEP of these three levels, three databases, technique for human error rate prediction (THERP), Savannah river site human reliability analysis (SRS-HRA) and nuclear action reliability assessment (NARA), from human reliability analysis (HRA) methods are used. The procedure contains identifying the tasks including the operator involved and the assumptions the analysts made and classifying the tasks into suitable cognitive behavior mode (CBM). In this case, the relationship between SRK levels and HEP is mapped. The effects of the two in automation context very relevant performance shaping factors (PSFs), time pressure and training/knowledge degradation, on human behavior levels switching are analyzed and the explanations of the SRK switching are presented. In this case, a more general structure is established to illustrate the dynamic behavior of levels switching with six directions under different conditions. From the results we conclude that skill, rule, and knowledge behavior levels are continuous in terms of HEP and therefore allow a new inside into this key aspect of human factor quantification. Based on this analysis the consequences of daily automation in the context of autonomous transport systems in combination with human qualification and reliability degrading are from this specific and in the current automation discussion very intensively discussed. The presented discussion linking SRK levels and HEP gives a new perspective on the foreseeable consequences of further automation in application areas with increasing automation of everyday tasks (like using a highly automated vehicle).