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Applying a grounded theory approach, we investigate how professionals cope with making errors that unintentionally harm others. We purposively sampled medical clinicians to study this phenomenon, as these professionals understand themselves as "enablers of patient health." When unintentionally harming others, clinicians experienced initial feelings of guilt. Triggered by the error experience, these professionals engaged in a cognitive sensemaking process, aiming to determine the root causes of the error and evaluate their level of responsibility. In this process, clinicians considered aspects of themselves and their social environment (i.e., supervisors, organization, colleagues, and clients) as either sensemaking assets or liabilities. The self and others became sensemaking assets when helping to alleviate initial feelings of guilt, and sensemaking liabilities when aggravating them. Depending on the outcome of their sensemaking process, clinicians engaged in control-focused or escape-focused identity work. This identity work, in turn, influenced the thriving or deterioration of their future professional identity. [ABSTRACT FROM AUTHOR]

Background: Prospectively tracking errors can improve patient safety but little is known about how to successfully implement error reporting in a home-based palliative care context. Aim: Explore the feasibility of implementing an error reporting system in a home-based palliative care program in Toronto, Canada, and describe the possible factors that may influence uptake. Design: A convergent mixed-methods approach was used. Participants prospectively documented errors using a novel reporting tool and completed monthly surveys. Following the reporting period, we conducted a semi-structured interview exploring participants' experiences and perceived factors influencing reporting behaviors. Error, survey, and interview data were analyzed separately, then integrated for comparison. Setting and participants: Thirteen palliative care physicians from a single home-based palliative care organization in Toronto, Canada anonymously reported errors between October 2021 and September 2022. Of these, six participated in the exit interview. Results: Participants reported 195 errors; one-third (n = 65) involved internal staff or systems. Three themes describe the factors impacting the likelihood of reporting errors: (1) High levels of cognitive burden decreases the likelihood of error reporting; (2) Framing errors as opportunities to learn rather than reason for punishment improves likelihood of error reporting; (3) Knowing that error data will improve patient safety motivates individuals to report errors. Conclusions: Physicians are amenable to error reporting activities so long as data is used to improve patient safety. The collaborative nature of care in a home-based palliative care context may present unique challenges to translating error reporting to improved patient safety. [ABSTRACT FROM AUTHOR]

Phenomenon: Effective communication between team members is essential during the resuscitation of critically-ill patients. Failure of junior doctors to speak up and challenge erroneous clinical decisions made by their senior doctors is a serious communication failure which can result in catastrophic outcomes and jeopardize patient safety. Crisis resource management (CRM) and conflict resolution tools have been increasingly employed in the healthcare setting to reduce communication failure among healthcare providers and improve patient safety during crisis situations. The aims of our study were to: 1) evaluate the factors affecting junior doctors' ability to speak up on medical errors, 2) examine the effectiveness of CRM and conflict resolution tools, and 3) formulate a communication framework directed at training junior doctors in appropriate intellectual questioning of authority. Approach: From January to April 2019, we recruited twenty-five second-year postgraduate junior doctors working in an Emergency Department in Singapore. We provided training in CRM and conflict resolution communication for participants in the intervention arm. Participants underwent a high-fidelity simulated resuscitation scenario which was standardized to include faculty misdirection in the form of erroneous instructions given by a role-played senior doctor. We observed if participants appropriately challenged the erroneous instructions. We subsequently interviewed participants on their response during the simulation to elicit their barriers and motivations toward challenging authority. Video recordings were analyzed by an independent panel of investigators. Findings: Participants employed various non-verbal and verbal approaches when challenging erroneous decisions. We uncovered multiple personal, interpersonal, and situation-based factors influencing the junior doctor's willingness to challenge erroneous decisions made by seniors. From their responses, we conceptualized a theoretical model designed as a "weighing scale" to demonstrate how junior doctor's eventual response is the outcome of a delicate interplay of multiple barriers and motivations. Our intervention did not significantly increase the participants' likelihood of challenging authority (69% in control arm vs 75% in intervention arm, p = 1.00). Insights: Our study provides insights into the mindset of junior doctors when faced with the dilemma of challenging authority on medical errors. Established CRM training may not be effective in addressing the challenges junior doctors face when communicating against the hierarchal gradient. We propose strategies to further develop and optimize CRM training to enhance its value for junior doctors. Drawing from our findings, we formulated a "SAFE" communication tool (State the safety concern, suggest Alternative course of action, Support with Facts, Engage via Enquiry) directed at helping junior doctors in appropriate intellectual questioning of authority. [ABSTRACT FROM AUTHOR]

Delivering simulation across a health system can engage the entire workforce by moving beyond traditional educational delivery and focusing on broader organizational needs specific to a particular organization. The commonly known use of simulation as a form of life support education has progressed to include fully immersive simulation experiences focusing on team-based communication, leadership, fellowship, and clinical care. It continues beyond this point with the inclusion of patient safety strategies, root cause analysis investigation, leadership, and management training, and recently, it has included environments that catalyze innovation in complex healthcare systems. The focus on pure fiscal elements of simulation-based approaches does not give a health system the accurate nontangible benefits simulation can provide, and importantly, acknowledging that each location has differing needs is essential when considering what investment should be made and where. A small community hospital will have vastly different needs from specialty hospitals that deliver specialist care. It must also be understood that every simulation center, to some extent, will always be unique, as it should. The commonly quoted statement "when you have seen one simulation center, you have seen one simulation center" really does reflect the reality of this established and rapidly growing specialty. In this article, we reflect on the traditional use of simulation and discuss some wider uses that may engage a wider audience and, importantly, provide a greater return on investment for your facility, making the case for investment more reasonable and impactful to each part of a busy health system. [ABSTRACT FROM AUTHOR]

Background: Nursing care delivery models may serve as a significant factor contributing to nurse satisfaction, frequency of missed care, and patient outcomes. Local problem: The nursing leadership team at our institution sought to determine if an adaptation of our primary registered nurse (RN) nursing model would enhance satisfaction of bedside nurses and care of patients. Methods: An improvement study introducing a care-based delivery model was implemented between January 2023 and January 2024 on a medical-surgical neurology/spinal unit at our organization. Interventions: Adoption of a care-based nursing model was supported with the delivery of brief education sessions utilizing in situ simulations for development of competencies in teamwork and delegation. Results: During the pilot period, overall satisfaction with job role improved 23%. Six missed nursing care elements and 7 teamwork elements significantly improved. Conclusions: A care-based nursing model may improve staff satisfaction and quality of nursing care. [ABSTRACT FROM AUTHOR]

Background: The health and well-being of the nursing workforce has received recent attention due to nurse attrition and the critical nurse shortages projected across the country. A nurse's well-being may impact patient outcomes. Purpose: The purpose of this scoping review was to assess the association between nurse well-being factors and specific patient outcomes. Methods: The preferred reporting items for systematic reviews and meta-analyses (PRISMA) PRISMA Scoping Review protocol and 2020 reporting guidelines were utilized in this review. Results: Staffing, environment, physical health, and mental health of nurses were correlated to specific adverse patient outcomes among the 97 articles included in the final review. The majority of the articles reported significant findings. Conclusions: Patient outcomes were reviewed as discrete events in the articles examined. With mixed results found on key patient outcomes, future research requires more in-depth investigation into the role nurse well-being has on patient outcomes. [ABSTRACT FROM AUTHOR]

The Healthcare Internet of Things (HIoT) is driving a paradigm shift in the healthcare business by providing safe, fast, and networked healthcare solutions. We examined the advantages, disadvantages, and potential future of the Internet of Things (IoT) in the medical industry. Scalability, accuracy, real-time monitoring, data security, and interoperability were among the top priorities. The study employed strict assessment criteria to compare the proposed HIoT technology to existing approaches. This article begins with an overview of the IoT in healthcare. This study compares and contrasts the proposed HIoT strategy with more conventional approaches. We applied both methodologies in this study, each with its own benefits and drawbacks. We evaluated the responses using the F1-score, recall, accuracy, and precision. The inquiry uncovered an interesting story. The proposed HIoT method outperformed traditional techniques in all assessment parameters. In terms of accuracy, the recommended solution outperformed "Block chain Encryption" (8.4) and "Data Validation" (7.9). Additionally, it received an 8.9 for real-time monitoring and an 8.8 for interoperability. Another benefit of the strategy was a reduction in medical errors. The high data accuracy score of 9.1 demonstrates this. The findings illustrate the potential transformation of healthcare delivery through the Internet of Things. According to the study, the proposed strategy might increase healthcare's efficacy, efficiency, and patient-centeredness. The Internet of Things has opened up exciting new opportunities in healthcare. These options may transform medical care and patient outcomes. [ABSTRACT FROM AUTHOR]

Background: Patient safety is a global concern within health facilities, primarily attributed to medical errors, constituting a significant global public health issue. Patients experiencing medication errors face serious problems, with increasing mortality rates and escalating hospital costs. Aim: The study aims to examine nursing students' awareness of various medical errors during their clinical internships at Al- Ahsa, identifying types of errors to enhance patient safety. Methods: A cross-sectional study was conducted among 160 nursing students during their internship at King Faisal University, Al Ahasa, Saudi Arabia.A total of 131 participants completed a self-administered questionnaire based on a medical error scale consisting of 43 items across six subscales. Data were analyzed using SPSS version 22. The outcomes of interest included falls, blood and blood Products transfusion, medication practices, care practices, communication, and controlled practices. Results: Overall, nursing students scored 188 out of 215. Among the sub-dimension scores, medication practices received the highest mean score, while Patient falls emerged with the lowest score. In our study, students ranked falling as the least significant factor. Conclusion: Study findings indicate that nursing students exhibit a low tendency to commit medical errors, which is encouraging for the future implementation of patient safety protocols. This trend suggests that nursing students are developing strong competencies in safe nursing practices, which contributes to reducing the incidence of medical errors and improving overall patient safety in clinical settings. [ABSTRACT FROM AUTHOR]

Medication errors have long accounted for the majority of medical errors. The most significant cause of medication errors is human factors. Medical staff may give the wrong medicine during the medicine distribution process. In this paper, we discuss a medicine identification system to replace medical personnel dispensing medicine. In the medicine identification system, we classify and identify medicine on the basis of shape, color, and imprint data sets. In addition, we transplanted the medicine recognition hardware mechanism to the mobile nursing work vehicle so that medical staff can save time in distributing medicines at designated locations. The medicine identification results showed that the identification rate of various medicine types is markably high, and the probability of medicine identification errors is reduced to 34%. [ABSTRACT FROM AUTHOR]

Medical consultations depend on a shared linguistic understanding between the patient and physician. When language concordance is not possible, interpretation is required. Prior studies have revealed that professional in-person interpretation (PIPI) results in patients reporting higher satisfaction and a better understanding of things the physician explained. Despite this, language-discordance often results in using family and/or friends for ad hoc interpretation. This systematic review examines the linguistic aspect of medical interpretation by assessing the number of linguistic errors made and their relation to professional in-person interpretation (PIPI) or in-person ad hoc interpretation (IPAHI). PIPI was defined as people employed as interpreters, but with no specific requirements for education or experience. This systematic review examines studies comparing the number of errors when using PIPI and IPAHI. We performed a PICO-criteria-based search in five scientific databases. We screened English and Danish studies published between 1995 and October 2024. Furthermore, we screened references from, and citations of the included articles. We used the appropriate Cochrane Tool for risk of bias assessment. We identified six studies using a PICO search and one additional study by snowballing. The included studies revealed critical methodological differences, and consequently a statistical synthesis of results was not conducted. We found indications that the number of interpreting errors was significantly lower when using PIPI than family members for IPAHI. Interpreting error rates were not significantly lower when comparing PIPI to the use of medical staff without interpretation training for IPAHI. Generally, we found that the difference between PIPI and IPAHI tended to be more prominent when dealing with more severe diagnoses, e.g., incurable cancer. The methodological differences between included studies and the risk of bias within included studies limit the conclusions drawn in this review. Also, no other kinds of interpretation than PIPI and IPAHI were considered, and the recommendations are solely based on accuracy. Considering these limitations and the fact that no other systematic reviews within this highly specific topic exist, this review resulted in the following recommendations: 1) Professional in-person interpretation should be the first choice in language-discordant medical consultations. 2) If professional interpretation is not possible, using medical staff without interpretation training should be chosen before interpretation by family or friends. 3) All consultation participants should keep sentences short and straightforward, as this is related to a lower risk of omissions in interpretation. [ABSTRACT FROM AUTHOR]

Many older adults who are certified for long‐term care services live or stay in long‐term care facilities (LTCFs), where they receive medical and nursing care. These individuals often encounter medication‐related problems, such as polypharmacy and complex medication regimens, including frequent administration schedules. Although considerable attention has been paid to polypharmacy in the context of optimizing medication use in older adults, little emphasis has been placed on simplifying these regimens. Recently, the Japanese Society of Geriatric Pharmacy issued statements on medication simplification in LTCFs based on a scoping review of the literature and expert opinions. In these statements, medication simplification is defined as the process of reducing the number of medication administration times, ideally to once during lunchtime. The statements outline principles and processes to achieve medication simplification through interprofessional collaboration, including consolidating and reducing the number of medication administration times a day to minimize the risk of medication errors and ensure medical safety. Medication simplification will play a substantial role in alleviating the burden of medication intake for residents, and in reducing and equalizing the workload of medication administration for staff members throughout the day in LTCFs. These statements suggest that administering medication during lunchtime is beneficial when an adequate number of staff members are available in LTCFs. We hope that these statements will help ensure patient safety, and facilitate successful medication optimization for all medical, nursing and social care professionals working in LTCFs. Geriatr Gerontol Int 2024; ••: ••–••. [ABSTRACT FROM AUTHOR]

Background: The Australian Government began implementing Medicare policies in the late 1990s aiming to improve Indigenous Peoples' access to the primary care. No aggregate central list of what policies have been implemented exists. The aim of this review was twofold: first to perform a scoping review to identify any literature mentioning a policy implemented between 1996 and 2023 regarding Indigenous Peoples' access to Medicare or the Pharmaceutical Benefits Scheme for primary care, and secondly to synthesise and describe any policies to enable learning from past successes and failures. Methods: Scoping review following the PRISMA-ScR process. Seven electronic databases were searched for any papers identifying any policy implemented between 1996–2023 to improve Indigenous Peoples' access to primary care. This was supplemented with searches in Google, key government databases, hand searching and expert input. Results: Sixteen policies were implemented and organised into six categories according to the primary care barrier they targeted: Medicare Benefits Schedule (MBS) funding structure; lack of Indignenous-appropriate MBS items; Pharmaceutical Benefits Scheme (PBS) access barriers; inappropriate care from mainstream general practitioners; bureaucratic impediments to MBS and PBS access; and data gaps. Discussion/conclusion: This is the first synthesis of Medicare and PBS policy history to improve Indigenous Peoples' access to primary health care, and provides a platform for future analysis. Identifying the names of relevant policies in any area is key to accountability and reliance on individual expertise is no substitute for transparent and durable policy record-keeping. A searchable long-term policy repository should be established to ensure that related policies can be identified, and that key policy documentation is publicly available in perpetuity. [ABSTRACT FROM AUTHOR]

Background: The topic of patient safety and attitudes toward patient safety among health professionals is a main priority of healthcare systems globally. This study aims to investigate the psychometric properties of APSQ-III among Iranian nursing students. Methods: There were 307 undergraduate nursing students who participated in the cross-sectional methodological study, from December 2022 to January 2023. Content validity, Construct validity and reliability of the APSQ-III was evaluated. Results: In the exploratory factor analysis, three factors were identified from 11 items, accounting for 58% of the total variance. The confirmatory factor analysis indices confirmed the model fit (χ2(38) = 91.851, p < 0.001, χ2/df = 2.417, CFI = 0.966, PNFI = 0.652, IFI = 0.966, TLI = 0.951 and RMSEA = 0.068). The results of the reliability evaluation indicated that the factors demonstrated a satisfactory level of internal consistency, as evidenced by Cronbach's alpha (α) and McDonald's omega (ω) values. Additionally, the Composite Reliability (CR) and Maximal Reliability H were both above 0.8, further supporting the reliability of the factors. Conclusion: The results of this study support the valid and reliable APSQ-III with 11 items and three factors. This questionnaire can be used to assess patient safety attitude among nursing students. [ABSTRACT FROM AUTHOR]

Second victim syndrome (SVS) refers to the psychological trauma experienced by healthcare workers (HCWs) as a result of being involved in an adverse event (AE). Research on the prevalence of SVS and the support needed for HCWs who experience it is limited. A cross-sectional study was conducted at the Health Local Unit of Lecce, in Puglia, to identify the phenomenon of SVS among HCWs and recognize the forms of support received and desired. A validated questionnaire, IT-SVEST, was administered to doctors and nurses. The survey received responses from 250 HCWs, and 41% of respondents reported being involved in an AE that could cause SVS. Among the seven dimensions measuring the effects of the SVS and two outcome variables, the highest percentage of agreement was found for psychological distress (23.5%), followed by turnover intentions (19.8%) and physical distress (9.9%); 23.8% of the interviewees declared that they did not receive institutional support, and 9.9% identified help resources mostly in non-work-related support (9.9%), followed by supervisor support (9.3%). The multivariable binary logistic regression analysis showed a positive association between the occurrence of an AE and the medical doctor profession (OR = 4.267, p ≤ 0.0001), and affiliation to intensive care departments (OR = 5.133, p ≤ 0.0001) and male gender (OR = 2.069, p = 0.033). SVS is a serious problem that affects the entire health system, systematic surveys and appropriate institutional responses including formal support programs for affected HCWs are a priority. [ABSTRACT FROM AUTHOR]

The emergence of Artificial Intelligence (AI) has already brought several advantages to the healthcare sector. Computer Vision (CV) is one of the growing modern AI technologies. The distribution and administration of medications are about to change by using CV for medication management. This system scans pharmaceutical labels and keeps track of the process from delivery to administration using cameras, sensors, and computer algorithms. In order to assure accuracy in medicine delivery and dose, the system also makes it easier for doctors, nurses, and chemists to communicate. The computer vision-driven medication management system can significantly lower the number of medical mistakes that result from inaccurate or missing prescriptions, improper doses, or simply forgetting to take a particular drug. An exhaustive literature review has been done to identify work related to the research objectives. This paper is about CV and their need in healthcare. Various tasks associated with CV in the healthcare domain are discussed. Targeted healthcare goals through CV traits are briefed. Finally, the significant applications of CVs in healthcare were identified and discussed. Nowadays, CV has practical uses in healthcare. Its methods are widely used since they have shown excellent utility in several medical contexts, including medical imaging and surgical planning. The CV is used to study how to program computers to comprehend digital pictures. Numerous medical applications utilise this technology, such as automated abnormality identification, illness diagnosis, and surgical procedure guiding. CV is expanding quickly and has enormous promise to enhance healthcare. Some of the many CV applications in the healthcare sector include patient identification systems, medical picture analysis, surgical simulation and illness diagnosis. [ABSTRACT FROM AUTHOR]

Background: Guidewire retention (GWR) poses a patient safety risk during Central Venous Catheter (CVC) insertions and is listed as a 'Never Event' by the National Health Service England (NHSE). WireSafe™ is an intervention to prevent GWR, but its cost-effectiveness is uncertain. This study is an early economic evaluation comparing WireSafe™ to standard care from a UK healthcare perspective. Methods: We conducted (i) a primary analysis of GWR related NHSE Never Events data in England between 2016 and 2020; and (ii) a cost-utility analysis, including healthcare costs and quality-adjusted life years (QALYS) for populations receiving CVC-insertions. We applied a cost-effectiveness threshold of £30,000 per QALY and considered three WireSafe™ costing scenarios (£18.50, £4.50, and £2.50). Results: NHSE Never Events data showed 61 GWR cases, averaging 1 per month. Most incidents (92%) were identified during hospital stays, with one serious adverse outcome reported (peri-arrest). In a population of 200,000, we estimate WireSafe™ would prevent 59.92 wire retentions, 5.61 procedural adverse events, 0.3 cardiac adverse events, and 0.19 deaths, improving QALYs by 4.87. In the base case analysis WireSafe™ was not cost-effective and had an economically justifiable price of £2.44. There were high levels of uncertainty in the lowest cost-scenario (ICER 95% credible interval: Dominant; £793,398). Conclusions: The health benefits of WireSafe™ are limited due to low GWR rates and high identification rates, making WireSafe™ viable only at low costs. Future research should prioritise obtaining more precise estimates of these parameter values which are key determinants of cost-effectiveness. [ABSTRACT FROM AUTHOR]

Proving the causal connection between a medical error and the personal injury suffered by a patient might turn out to be very difficult, if not impossible. If the claimant manages to substantiate that connection by reaching the required degree of probability, they will be fully compensated, and if not, they will not be indemnified at all, even though fault has been established on the part of the medical professional. This 'all-or-nothing' approach means that slight differences in the degree of probability (values slightly lower versus values slightly higher than the required threshold) result in fundamental differences in the amount of damages. In order to prevent this unjust outcome and to provide at least partial compensation to those who are unable to demonstrate the existence of a causal link, several legal systems resort to the concept of loss of a chance, which redefines the object of legal protection and regards as recoverable loss the lost or diminished chance of avoiding traditionally understood damage (personal injury). Another proposed alternative to the 'all-or-nothing' approach is proportional liability based on potential causation. The present contribution examines the advantages and disadvantages of both concepts and discusses the possibility of their application under Polish law. [ABSTRACT FROM AUTHOR]

Background: Patient safety incidents, such as adverse events and medical errors, are often caused by ineffective communication and collaboration. Interprofessional education is an effective method for promoting collaborative competencies and has attracted great attention in the context of patient safety. However, the effectiveness of interprofessional education interventions on patient safety remains unclear. This scoping review aimed to synthesize existing studies that focused on improving patient safety through interprofessional education interventions for healthcare professionals. Methods: Six databases, including Medline (via PubMed), Embase, Cochrane Library, CINAHL (via EBSCO), Scopus and Web of Science, were last searched on 20 December 2023. The search records were independently screened by two researchers. The Joanna Briggs Institute Critical Appraisal Tool for Quasi-Experimental Studies was used for quality appraisal. The data were extracted by two researchers and cross-checked. Finally, a narrative synthesis was performed. The protocol for this scoping review was not registered. Results: Thirteen quasi-experimental studies with moderate methodological quality were included. The results revealed that the characteristics of current interprofessional education interventions were diverse, with a strong interest in simulation-based learning strategies and face-to-face delivery methods. Several studies did not assess the reduction in patient safety incidents involving adverse events or medical errors, relying instead on the improvements in healthcare professionals' knowledge, attitude or practice related to patient safety issues. Less than half of the studies examined team performance, based primarily on the self-evaluation of healthcare professionals and observer-based evaluation. There is a gap in applying newer tools such as peer evaluation and team-based objective structured clinical evaluation. Conclusion: Additional evidence on interprofessional education interventions for improving patient safety is needed by further research, especially randomized controlled trials. Facilitating simulation-based interprofessional education, collecting more objective outcomes of patient safety and selecting suitable tools to evaluate teamwork performance may be the focus of future studies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: This study explored nurse leaders' perspectives and experiences in supporting nurses following a serious medical error. BACKGROUND: Appropriate support is crucial for nurses following an error. Authentic leadership provides an environment of psychological safety and establishes a patient safety culture. METHODS: A cross-sectional survey research design was conducted to determine nurse leader's (NLs') perspectives on supporting nurses following a medical error. RESULTS: NL training on handling serious medical errors varied. NLs indicated experiencing a variety of formal support programs: peer support, education, error examination, employee assistance, and just culture. Following an error, NLs reported these interventions were helpful, including education/retraining, psychological safety, time off the unit, identifying system failures, nurse involvement in disclosure, and peer support. CONCLUSION: This study illuminates how NLs support nurses following an error. It provides insight into the education of NLs on assisting nurses and the need to implement formal caregiver support programs. [ABSTRACT FROM AUTHOR]

Background: Missed nursing care is a global issue that refers to any aspect of patient care that is partially or entirely omitted or delayed. Although many studies have examined the relationship between missed nursing care and nurse job satisfaction, there is no synthesized evidence of these findings. Objective: To evaluate the relationship between missed nursing care and nurse job satisfaction. Methods: A systematic review and meta-analysis was carried out by searching the following databases: Web of Science, Scopus, EBSCO, PubMed, Science Direct, Cochrane, and Springer Link. The risk of bias was assessed using the Quality Assessment and Validity Tool for Correlational Studies. A random-effects model was used in the meta-analysis. Results: Out of 13 619 identified reports, 8 studies involving 10 418 nurses were identified as eligible for the meta-analysis. A significant negative relationship between missed nursing care and nurse job satisfaction was identified, with the summary effect size of r = −0.294 (95% CI: −0.364 to −0.219, P <.001). Conclusions: The meta-analysis presented evidence regarding the significance of missed care in influencing nurse job satisfaction. As missed nursing care decreases, nurses' job satisfaction may increase. [ABSTRACT FROM AUTHOR]

Introduction: First‐line managers in Swedish communities have responsibility for that care to older people is provided, staffing is sufficient and the budget is balanced in their unit. It is a struggle with limited resources due to a growing population in need of care. This can lead to missed nursing care. The aim was to describe first‐line managers´ perceptions of missed nursing care in community health care for older people. Methods: A qualitative design with a phenomenographic approach, interviewing 24 first‐line managers. Ethics approval for the study was received from the Research Ethics Committee at Karlstad University (Dnr HNT 2020/566). Results: The results are shown in six descriptive categories containing 15 perceptions. The descriptive categories are 'occurrence of missed nursing care', 'becoming aware of missed nursing care', 'reasons for missed nursing care', 'missed nursing care has consequences for the older persons', 'missed nursing care has consequences for the staff' and 'taking action to decrease missed nursing care'. Conclusions: It is important for first‐line managers to become aware of the existence and reasons for missed nursing, as it has consequences for older people and staff. Managers need to take missed nursing care seriously in order to work with improvements for maintaining good quality of care and patient safety. [ABSTRACT FROM AUTHOR]

Objective: Physicians experience scary cases in the course of usual medical practice. Cases of near misses, legal and ethical dilemmas, or unique clinical challenges are great sources of education. However, there is no format for presentation and dissemination of cases that do not meet criteria for morbidity and mortality (M&M) conferences. The Scary Cases Conference is an innovative educational forum for scrutiny and analysis of these challenging clinical cases. Scary Cases differs from traditional Morbidity and Mortality conferences as it explores outcomes beyond the scope of medical or surgical errors. Methods: From 2011 to 2021: 11 regional and 10 national "Otolaryngology Scary Cases" conferences and mini-seminars were held. The cases presented were analyzed for case specialty, area of management deemed troublesome, and compared to M&M conference criteria. Results: 187 cases were presented. 62% percent of cases included traditional medical problems, whereas 21% involved legal issues, and 17% focused on ethical dilemmas. For the cases with medical problems, 31% involved airway obstruction, 17% nerve injuries, and 17% malignancy. 49% of cases would have met criteria for presentation at traditional M&M conferences. Of all the "scary cases," 25% were near misses and 26% represented ethical or legal dilemmas which would not be classified as morbitidy, mortality, or near miss. Conclusions: The Scary Cases provides a forum conducive to learning amongst peers and experts. It allows medical and surgical specialties to share the cases deemed most impactful. The M&M conference would only include half of such cases, but could be expanded beyond the traditional scope in the future. [ABSTRACT FROM AUTHOR]

Objectives: Dental radiographs, typically taken and interpreted by dentists, are essential for diagnosis and effective treatment planning. Interpretive errors in dental radiographs, stemming from failures of visual and cognitive processes, can affect both patients and clinicians. This survey aimed to assess the dental practitioners' perceptions of the consequences of these errors and potential measures to minimize them. Materials and Methods: This online anonymized survey assessed Australian dental practitioners' perceptions of the consequences of these errors and potential mitigation measures using ranking, Likert scale, and open‐ended questions. The data were analyzed using descriptive statistics and bivariate analysis. Results: Participants identified undertreatment (72%) and legal implications (82%) as the most significant consequences of interpretive errors, whereas severe harm to patients was deemed the least likely. Dental practitioners placed a greater emphasis on maintaining a high level of competence and the well‐being of their patients. Utilizing high‐quality images (63.9%) and appropriate radiographs (59.7%) were identified as the most effective measures to minimize interpretive errors. Participants showed hesitancy regarding the reliance on machine learning as a clinical decision‐making tool. Conclusions: The survey provides valuable practical insights into the consequences and targeted measures to minimize the occurrence of interpretive errors. Efforts to minimize interpretive errors should address patient safety and practitioners' concerns about professional reputation and business viability. The study also suggests further research into the role of machine learning algorithms in reducing interpretive errors in dentistry. [ABSTRACT FROM AUTHOR]

Background & aims: Work–family conflict, an important issue in nursing management, has been examined extensively worldwide among nurses. Nurses' inability to handle these conflicts affect their quality of care and may lead to missed nursing care. This study aimed to investigate the relationship between work-family conflict and missed nursing care in Iran. Materials & methods: This cross-sectional descriptive-analytical study was conducted on 270 nurses working in two hospitals affiliated to Tehran University of Medical Sciences (Sina & Shariati) from September to December 2023. The research community included all nurses working in medical-surgical wards in the designated hospitals. The research samples were included in the study in a targeted and quota sampling after obtaining organizational permits, ethical approval and informed consent. Data collection was done using three questionnaires including: Demographic information form, Carlson's work-family conflict and Kalisch MISSCARE Questionnaire. The collected data was analyzed in SPSS software, version 25. Results: The results of Pearson's correlation test showed that there is a positive relationship between nurses' work-family conflict and missed nursing care scores (r = 0.21) (p = 0.001). The mean (SD) score of nurses' work-family conflict was reported at a moderate level (61.58(11.57)) and the mean (SD) score of missed nursing care was reported at a low level (47.84(16.48)). Nurses under 29 years old and male nurses had more missed nursing care other than their participants. No more relationship was observed between other demographic variables with missed nursing care and nurses' work-family conflict. Conclusion: According to the results of this research, it can be concluded that the existence of work-family conflict can be an obstacle for the correct implementation of nursing care. In such a way that nurses exposed to higher work-family conflict level had higher missed nursing care. Based on the findings of this research, it is recommended for health care providers and nursing managers to identify nurses exposed to high work-family conflicts, adopt programs to decrease their conflicts and consequently reduce missed nursing care. [ABSTRACT FROM AUTHOR]

Introduction. Nursing education involves a robust blend of theory and hands‐on practice, crucial for cultivating the intricate abilities required to safely progress from being a student to becoming a proficient nursing professional. This training process was disrupted by the COVID‐19 pandemic when the imposition of lockdowns compelled the transition of classes from in‐person to online formats. Aim. This study aimed to assess the challenges in clinical training for nursing students during the COVID‐19 pandemic, specifically examining how reductions in hands‐on clinical practice have impacted their job satisfaction upon entering the workforce. Methods. It was an exploratory, descriptive, and cross‐sectional study, using the Font Roja Questionnaire on job satisfaction as an instrument for data collection. The population was made up of Spanish nurses who graduated in 2020, 2021, and 2022. Results. The sample consisted of 390 nurses, 81.5% female, averaging 24.35 years old, with 76% having missed at least one month of clinical practice during their training. We found significant levels of dissatisfaction with job pressure and professional competence (52.3% and 40.8%, respectively). Statistically significant differences were found between gender, job pressure, year of graduation, and professional competence. Conclusion. The loss of clinical practice periods, a vital element in nursing education, has influenced the early careers of these nurses, particularly affecting certain aspects of their job satisfaction such as job pressure and professional competence. [ABSTRACT FROM AUTHOR]

Background: Increased attention among healthcare workers, particularly nurses, is crucial for preventing medical errors and patient harm. This study uses an objective approach that overcomes the limitations of the subjective self-report measures employed in prior research on nurses' attention. Methods: This cross-sectional study was conducted from January to March 2023 among 108 nurses at Besat Hospital in Tehran, Iran. The data collected included demographic information, the NASA Task Load Index (NASA-TLX) for mental workload assessment, and the CogLab signal detection test for attention sensitivity measurement. Results: The participants exhibited a median mental workload of 68.5 (IQR = 14.9) and a median attention sensitivity of 52.5 (IQR = 39.2). Daily sleep duration was positively correlated with attention sensitivity (r = 0.644, p < 0.001), whereas mental workload was negatively correlated with attention sensitivity (r = -0.655, p < 0.001). Men demonstrated greater attention sensitivity (p = 0.040), and women reported greater mental workload (p = 0.043). Conclusion: Reducing daily sleep duration and increasing mental workload can diminish nurses' attention sensitivity. Prioritizing adequate sleep and implementing strategies to reduce mental workload are crucial for enhancing nurse performance and patient safety. Key points: • Insufficient sleep and excessive mental workload can significantly impair nurses' attention. • Female nurses may be particularly vulnerable to these factors. • Implementing strategies to optimize sleep schedules and reduce mental workload is crucial for enhancing overall nurse performance and patient safety. [ABSTRACT FROM AUTHOR]

Introduction: The frozen section intra-operative consultation is a pathology procedure that provides real-time evaluations of tissue samples during surgery, enabling quick and informed decisions. In the pre-analytical phase, errors related to sample collection, transport, and identification are common, and tools like failure mode, effects, and criticality analysis help identify and prevent risks. This study aims to enhance patient safety and diagnostic quality by analyzing risks and optimizing sample management. Materials and Methods: The failure mode, effects, and criticality analysis was conducted by a multidisciplinary team to analyze the workflow of frozen section sample handling from collection in the operating theater to acceptance at the pathology lab. Six steps were identified, each assigned tasks and responsibilities, with risks assessed through the risk priority number, calculated from severity, occurrence, and detectability. Severity was classified based on the WHO framework, ranging from "No Harm" to "Death", to prioritize risks effectively. Results: The study identified 12 failure modes across 11 sub-processes, prioritized by risk. Key failures included missing patient identification, incorrect sample retrieval, missing labels, misdirected samples, and samples sent to the wrong lab. Discussion: Pre-analytical errors in pathology pose risks to diagnosis and patient care, with most errors occurring in this phase. A multidisciplinary team identified key issues, such as sample mislabeling and delays due to staff unavailability, and implemented corrective actions, including improved signage, staff re-training, and sample tracking systems. Monitoring and regular checks ensured ongoing adherence to protocols and reduced the risks of misidentification, transport delays, and procedural errors. Conclusions: The frozen section intra-operative consultation is vital in surgical pathology, with the pre-analytical phase posing significant risks due to potential errors in sample handling and labeling. Failure mode, effects, and criticality analysis has proven effective in identifying and prioritizing these failures, despite resource demands, by allowing corrective actions that enhance patient safety and healthcare quality. [ABSTRACT FROM AUTHOR]

Objective: This study was conducted to investigate the effect of nurses' Machiavellian and deontic justice personality on the tendency to make medical errors. Additionally, conducted to investigate the other factors associated with nurses' tendency to make medical errors. Methods: This cross-sectional study consisted of 345 nurses working in a state university medical faculty health application and research hospital, and data were collected using the Medical Error Tendency in Nursing Scale, the Machiavellian Personality Scale, and the Deontic Justice Scale. Results: Machiavellian and deontic justice personality of nurses effect in low level their tendency to make medical errors (R = 0.284, p = 0.001). As the nurses' Machiavellian tendencies increased, their propensity toward making medical errors also increased. The increase in Nurses' deontic justice reduced their tendency toward medical errors (p < 0.05). A significant difference was found between nurses' mean tendency to medical errors scores and their age, working life/years, the number of night shifts, the daily number of patients provided with care, the status of working in the COVID-19 service, and the status of having received education on medical errors (p < 0.05). Conclusions: Nurses' Machiavellian tendencies and deontic justice approach affect their propensity to make medical errors. Nurses who have a Machiavellian tendency and poor deontic justice have a high tendency to make medical errors. Nurses' age, working life/years, the number of night shifts, the daily number of patients they provide care for, working in the COVID-19 service, and having received education on medical errors were the other factors affecting their tendency to make medical errors. This study demonstrated that nurses' personality traits can cause medical errors. Generations are changing in the world and personality are also changing. Therefore, including personal development in nursing education could be a positive approach for medical errors. [ABSTRACT FROM AUTHOR]

Medical errors can occur in many areas of healthcare, including hospitals, clinics, and surgery centers. They can result in negative consequences for patients and their loved ones. Over the years, different methods have been used to reduce medical errors. Zero Trust is an information security model that denies access to applications and data by default. Other industries have successfully used Zero Trust Model (ZTM), and it has been shown to improve outcomes. This editorial analyzes how the ZTM can be introduced to prevent medical errors in healthcare settings. ZTM application in healthcare could potentially revolutionize patient safety by tightly controlling and monitoring access to sensitive patient data and critical systems. By enhancing security measures, the ZTM could address the paramount concerns of patient data privacy and safety in healthcare. The zero-trust approach offers a potential solution by identifying consistent causes of errors and providing viable solutions to prevent their recurrence. In the era of worsening ransomware attacks on healthcare systems, the ZTM could also have enormous implications in other cybersecurity aspects. With this manuscript, the authors advocate for the broader application of ZTM across other facets of healthcare cybersecurity. [ABSTRACT FROM AUTHOR]

The article "Learning From Mistakes: Navigating Medical Errors in Oncology From Prevention to Management" discusses the occurrence of medical errors in oncology, using a tragic case study to highlight the importance of preventing and managing such errors. The authors provide examples of medical errors, strategies to prevent and mitigate errors, and emphasize the role of technology, artificial intelligence, and accountability in medical practice. The article underscores the need for clear communication, proper documentation, and human connection to minimize errors and improve patient care in oncology. [Extracted from the article]

The article focuses on the implementation of Q-rounds to enhance multidisciplinary, family-centered care in hospitals. Topics include the operational benefits of Q-rounds such as cost savings and reduced medical errors, its role in increasing patient satisfaction and communication, and its potential for generating additional hospital revenue through improved efficiency and documentation.

Background: Medication errors are among the most prevalent medical errors and result in significant morbidity and mortality. They pose a major threat to patient safety in psychiatric hospitals. However, the lack of a comprehensive investigation into the root causes of these errors restricts the development of effective corrective measures. Objective: This study aimed to characterize the types of errors, determine the stages of the medication use process, and identify factors associated with errors occurring among government psychiatric hospitals in Saudi Arabia. Methods: This cross-sectional study was conducted from August 2019 to June 2020. All medication error reports submitted to the Ministry of Health General Administration of Pharmaceutical Care database from 18 government psychiatric hospitals in Saudi Arabia were assessed. The database is de-identified and contains information on all medication errors, including patient demographics, medication information, error information, causes of errors, and reporter information. Medication use was categorized as ordering/prescribing, transcribing, dispensing, administration, and monitoring. The present findings represent a descriptive analysis of the data using Statistical Analysis Software (SAS) version 9.4. Result: A total of 23,355 medication error reports were reported to the database during the study period. Among Saudi Arabian cities, Riyadh (n = 8972, 38.4%) had the highest medication error reporting rate, followed by Taif (n = 3705, 15.9%) and Jeddah (n = 2621, 11.2%). Most reported errors were frequently made by physicians (n = 20,284, 86.9%) and were primarily detected by pharmacists (n = 20,974, 89.8%). Approximately half of them (n = 13,150, 56.3%) were classified as "Category B" that occurred, but they did not reach patients. Most medication errors were reported in adults (n = 22,589, 96.7%) and male patients (n = 16,393, 70.2%). Most error reports were detected at the prescription stage (n = 16,481; 70.6%) during the medication-use process. Work overload of the staff (n = 2911, 12.8%) and drug labeling, packaging, and nomenclature (n = 2826, 12.1%) were the most common contributing factors associated with the reported errors. Olanzapine (n = 1650, 7.1%), omeprazole (n = 1350, 5.8%), and quetiapine (n = 1273, 5.5%) were the most common medications associated with medication errors. Conclusions: Preventable medication errors are typical in psychiatric hospitals and may result in severe consequences. Increased efforts are needed to control and minimize prescribing errors and improve reporting in Saudi Arabia. [ABSTRACT FROM AUTHOR]

The article in Clinical & Translational Allergy discusses the reliability of the FricTest 4.0 tool for diagnosing symptomatic dermographism, a subtype of chronic inducible urticaria. The study conducted at the Urticaria Center of Reference and Excellence in Berlin, Germany, aimed to assess inter-rater and intra-rater agreement of the tool. Results showed substantial inter-rater agreement and high consistency in measurements, validating the FricTest as a reliable diagnostic and monitoring tool for symptomatic dermographism. The study acknowledges limitations and calls for further real-world evidence to confirm the tool's reproducibility and clinical validity. [Extracted from the article]

The article discusses the use of nursing safety event database in enhancing patient care. Topics mentioned include a description of the development of the database, the trends in nursing practice among travel nurses and the modification of onboarding processes for travel nurses, night shift nurses and medication errors.

Utilizing scientifically validated statistical approaches, our research underscores the significance of safety climate in the healthcare industry, emphasizing how interpersonal trust and locus of control impact organization safety. Findings inspire more informed, scientifically grounded preventative strategies and advocate for a psychologically safe error disclosure culture, prompting advancements in occupational interventions. Objectives: The current study aims to identify individual and joint drivers that significantly influence the safety climate in healthcare industries by using Bayesian network (BN) simulations for an in-depth analysis. Methods: Survey data were collected from 452 employees from two branches of one hospital in China for a study about workplace safety. The original English surveys were translated into Chinese using the back-translation procedure recommended by Brislin. Employees were asked to complete two online surveys with 1 month in between each administration. The sample was 42% doctors and 58% nurses. A BN model, based on theory, was updated and complemented with expert knowledge. A graphical model based on expert knowledge and data-driven machine learning approaches was used to refine the BN structure, representing interrelationships among all studied variables. The BN model was employed to identify the best key drivers and joint strategies for safety climate improvement. Results: The BN model demonstrated a good overall fit. The Euclidean distance metric was used to assess the influence between connected variables, with interpersonal trust and locus of control having the strongest independent effects on safety climate among the five contributing factors. Joint strategies, particularly joint optimization of error disclosure culture and interpersonal trust, as well as error disclosure culture and self-efficacy, were most effective in promoting a safe climate. Conclusions: The findings suggest that hospital safety climate can be improved by providing a psychologically safe error disclosure culture and enhancing interpersonal trust among employees and their self-efficacy. [ABSTRACT FROM AUTHOR]

In modern healthcare services, patient safety is a primary goal. With technological advancements, the complexity of healthcare services increases, which in turn creates increased pressure on health professionals during decision-making processes and can lead to errors worldwide. Communication gaps, human factors, patientoriginated issues, technical failures, and inadequate policies have been identified as the main causes of medical errors. While research shows that errors stem from human nature and are inevitable, it is emphasized that it is possible to develop methods that enhance patient safety. Utilizing digital technologies to improve the quality and efficiency of healthcare services is a crucial strategy. Innovations such as wearable technologies, mobile devices, digital media-delivered education and consulting services, telehealth applications, 3D printers, clinical decision support systems, and implantable biosensors encompass advancements in the digital health field. This research aims to analyze the complex and dynamic structure of healthcare services in the 21st century, especially considering the opportunities presented by the integration of artificial intelligence and genomic data, within the scope of the relevant literature. [ABSTRACT FROM AUTHOR]

Medical providers have an ethical duty to disclose clinically significant errors involving gametes and embryos. Although not mandatory, disclosure of errors causing no harm or near misses is recommended. In addition, clinics should have written policies in place for reducing and disclosing errors. [ABSTRACT FROM AUTHOR]

Objective: To develop and validate a questionnaire to evaluate missed nursing care (MNC) in a home care setting. Design: A new instrument was developed and tested performing a preliminary analysis of a multicenter cross‐sectional study in Italy. Reporting was performed according to COnsensus‐based Standards for the selection of health status Measurement INstruments (COSMIN) guidelines. Sample: Eight hundred out of a total of 2549 home care nurses enrolled in AIDOMUS‐IT were considered for the validation of the Missed Nursing Care in Home Care (MNC_HC). Measurements: The MNC_HC instrument was developed by a panel of experts and underwent content and face validation. Exploratory (EFA) and confirmatory factor analyses (CFA) were conducted. Results: EFA revealed a one‐factor solution, explaining 56% of the total variance for MNC_HC. CFA confirmed excellent structural validity, with a one‐factor model showing an exceptional fit (χ2 (27) = 141.39, p <.001, RMSEA = 0.04, SRMR = 0.04, CFI = 0.99, TLI = 0.99, factor loadings > 0.5). MNC_HC also demonstrated high reliability (Cronbach's α = 0.92). The activity with the highest rate of missed care was the documentation of nursing care (77%), while activities related to nursing techniques (e.g., injections, dressings, etc.) were reported to be missed less (33.63%). Conclusions: MNC_HC is a quick‐filling, valid, reliable, and psychometrically sound instrument for measuring MNC in home care useful for future research. [ABSTRACT FROM AUTHOR]

Insertion of a nasogastric tube (NGT) is generally considered safe; however, it is not without risk, and in cases of misplacement, complications and even death may occur. In this article, we reported a case of NGT misplacement in a 75‐year‐old male, which resulted in aspiration pneumonia. We also reviewed published cases of NGT misplacement. Clinicians should pay enough attention to the confirmation of the proper placement of an NGT. A systematic approach for NGT insertion and confirmation is required to prevent misplacement. [ABSTRACT FROM AUTHOR]

Background: Vital signs assessment is critical for patient surveillance and safety. Research has found, however, that this assessment is often neglected in clinical practice. The reasons for this are unclear as few studies have explored this issue. Those studies that have are small, single site studies and found that culture and poor understanding are contributing factors. Aim: The aim was to explore the link between the clinical neglect of vital signs assessment and patient mortality and provide a better understanding of factors influencing vital signs assessment in the context of acute patient care. Coroners' reports represent an untapped source of information regarding shortfalls in vital signs assessment. Using a framework analysis, an audit was conducted of the Australian National Coronial Information System for cases where vital signs' assessment was mentioned in coronial reports. Results: Fifty‐eight cases met the eligibility criteria, with deceased patients aged from 7 days to 93 years. Key themes related to absence of reassessment of vital signs, inappropriate delegation, passing responsibility to another staff member and not following policy. Conclusions: The findings reflect a combination of individual and institutional failings and suggest that vital signs assessment was not considered a priority aspect of care. Relevance to Clinical Practice: Vital signs assessment must be considered an essential aspect of clinical care in all patients. This important aspect of care should be emphasized across all domains of patient care. [ABSTRACT FROM AUTHOR]

Patients with congenital heart disease are living longer due to improved medical and surgical care. Congenital heart disease encompasses a wide spectrum of defects with varying pathophysiology and unique anesthetic challenges. These patients often present for noncardiac surgery before or after surgical repair and are at increased risk for perioperative morbidity and mortality. Although there is no singular safe anesthetic technique, identifying potential error traps and tailoring perioperative management may help reduce morbidity and mortality. In this article, we discuss five error traps based on the collective experience of the authors. These error traps can occur when providing perioperative care to patients with congenital heart disease for noncardiac surgery and we present potential solutions to help avoid adverse outcomes. [ABSTRACT FROM AUTHOR]

The field of healthcare quality and safety has been informed by the study of Human Factors contributing to adverse events. Hitherto, much of the study of Human Factors has been focused on a narrow lens of human error, identifying cognitive‐based or knowledge‐based errors and cognitive processes such as loss of situational awareness contributing to error. While these factors are important, this narrow approach fails to consider the complexity of relational and systemic factors that also contribute to adverse events. We aimed to explore the relational and systemic human factors, including shared clinician attitudes and behavior, that contribute to serious adverse patient events in a public health setting. The study, set in a metropolitan local health district in New South Wales, Australia, was conducted using a retrospective qualitative multi‐incident content analysis design. Serious adverse event reviews (SAER) over 6 months (2022–2023) were subject to qualitative content analysis until data saturation was reached. Data saturation reached at 20 reports. Emergent themes related to human factors in serious adverse events included: (i) delays and inertia—with a subtheme of inertia of ageism; (ii) "All‐or‐nothing" approach to end‐of‐life care and planning; (iii) communication lapses; and (iv) implementation gap between standards and practice. Error‐based incidents accounted for only 35% of the serious adverse events examined. The sample studied involved mostly (65%) male patients, with a mean age of 69 (70% aged >65), managed across the gamut of specialties, with the most common incident being the management of acutely deteriorating patients. In conclusion, there is more to Human Factors in adverse events than cognitive or knowledge‐based error. While identifying and correcting errors is absolutely essential, we need adjunctive "soft measures" to address clinical attitudes, behaviors, and relationships in health care, particularly in increasingly complex, fraught, and stressful health care environments. [ABSTRACT FROM AUTHOR]

This study aimed to determine the relationship between nurses' personality profiles, perception of conscience, and their tendency to medical error. This cross-sectional study was conducted with 241 nurses between 05.03.2023 and 10.04.2023 in two private hospitals in Türkiye. There was a negative correlation between neuroticism and tendency to medical error (r = −0.348; p < 0.05) and a positive correlation between agreeableness, extroversion, conscientiousness, and openness and tendency to medical error (r = 0.157; r = 0.248; r = 0.276; r = 0.241; p < 0.05, respectively). A positive correlation (r = 0.172; p < 0.05) was revealed between the authority subscale of the Perception of Conscience Questionnaire and hospital infection subdimension. According to the regression analysis conducted to determine the predictive levels of conscience and personality traits, it was found that conscientiousness, neuroticism, and authority explained 17.4% of the tendency to medical error. Accordingly, it was revealed that the neuroticism personality trait (β = −0.260, p < 0.05) increased the tendency to medical error, whereas the conscientiousness personality trait (β = 0.165, p < 0.05) and the authority subscale (β = 0.164, p < 0.05) decreased the tendency to medical error. In this regard, managers should determine the work and responsibility areas of nurses by making personality and perception of conscience evaluations to reduce the tendency to medical error. [ABSTRACT FROM AUTHOR]

This study conducts an in-depth review and Bowtie analysis of automation bias in AI-driven Clinical Decision Support Systems (CDSSs) within healthcare settings. Automation bias, the tendency of human operators to over-rely on automated systems, poses a critical challenge in implementing AI-driven technologies. To address this challenge, Bowtie analysis is employed to examine the causes and consequences of automation bias affected by over-reliance on AI-driven systems in healthcare. Furthermore, this study proposes preventive measures to address automation bias during the design phase of AI model development for CDSSs, along with effective mitigation strategies post-deployment. The findings highlight the imperative role of a systems approach, integrating technological advancements, regulatory frameworks, and collaborative endeavors between AI developers and healthcare practitioners to diminish automation bias in AI-driven CDSSs. We further identify future research directions, proposing quantitative evaluations of the mitigation and preventative measures.

Abstract Background The topic of patient safety and attitudes toward patient safety among health professionals is a main priority of healthcare systems globally. This study aims to investigate the psychometric properties of APSQ-III among Iranian nursing students. Methods There were 307 undergraduate nursing students who participated in the cross-sectional methodological study, from December 2022 to January 2023. Content validity, Construct validity and reliability of the APSQ-III was evaluated. Results In the exploratory factor analysis, three factors were identified from 11 items, accounting for 58% of the total variance. The confirmatory factor analysis indices confirmed the model fit (χ2(38) = 91.851, p

Abstract Background Increased attention among healthcare workers, particularly nurses, is crucial for preventing medical errors and patient harm. This study uses an objective approach that overcomes the limitations of the subjective self-report measures employed in prior research on nurses’ attention. Methods This cross-sectional study was conducted from January to March 2023 among 108 nurses at Besat Hospital in Tehran, Iran. The data collected included demographic information, the NASA Task Load Index (NASA-TLX) for mental workload assessment, and the CogLab signal detection test for attention sensitivity measurement. Results The participants exhibited a median mental workload of 68.5 (IQR = 14.9) and a median attention sensitivity of 52.5 (IQR = 39.2). Daily sleep duration was positively correlated with attention sensitivity (r = 0.644, p