Multi-Subunit Repair With the Nasolabial Burow's Advancement Flap.

AIM: We will describe the use of nasolabial Burow's advancement flaps (perialar crescentic advancements) to repair multi subunit defects of the nasal sidewall including the adjacent cheek, dorsum, tip, and ala without the need of additional flaps. METHODS: This retrospective single centre study analyzed 6 month postoperative photographs using the Manchester Scar scale. The operative technique is described in detail. RESULTS: Of 355 cases, 336 were available for analysis. The median Manchester Scar scale was 7 for both sidewall defects and multi-subunit defects. There were low rates of infection or necrosis. CONCLUSIONS: With the correct technique, the nasolabial Burow's advancement alone is suitable to repair even large multi-subunit defects involving the nasal sidewall, cheek, dorsum, tip, and ala with high-level aesthetic and functional results.

Where do we intervene to optimize sports systems? Leverage Points the way.

Sport and sports research are inherently complex systems. This appears to be somewhat at odds with the current research paradigm in sport in which interventions are aimed are fixing or solving singular broken components within the system. In any complex system, such as sport, there are places where we can intervene to change behaviour and, ideally, system outcomes. Meadows influential work describes 12 different points with which to intervene in complex systems (termed "Leverage Points"), which are ordered from shallow to deeper based on their potential effectiveness to influence transformational change. Whether research in sport is aimed at shallow or deeper Leverage Points is unknown. This study aimed to assess highly impactful research in sports science, sports nutrition/metabolism, sports medicine, sport and exercise psychology, sports management, motor control, sports biomechanics and sports policy/law through a Leverage Points lens. The 10 most highly cited original-research manuscripts from each journal representing these fields were analysed for the Leverage Point with which the intervention described in the manuscript was focused. The results indicate that highly impactful research in sports science, sports nutrition/metabolism, sports biomechanics and sports medicine is predominantly focused at the shallow end of the Leverage Points hierarchy. Conversely, the interventions drawn from journals representing sports management and sports policy/law were focused on the deeper end. Other journals analysed had a mixed profile. Explanations for these findings include the dual practitioner/academic needing to "think fast" to solve immediate questions in sports science/medicine/nutrition, limited engagement with "working slow" systems and method experts and differences in incremental vs. non-incremental research strategies.

Applying a systems thinking lens to anti-doping: A systematic review identifying the contributory factors to doping in sport.

The use of performance enhancing substances and methods (known as "doping") in sport is an intractable issue, with current anti-doping strategies predominantly focused on the personal responsibility and strict liability of individual athletes. This is despite an emerging understanding that athletes exist as part of a broader complex sports system that includes governance, policymakers, media, sponsors, clubs, team members, and athlete support staff, to name a few. As such, there is a need to examine the broader systemic factors that influence doping in sport. The aim of this systematic review was to identify and synthesise the factors contributing to doping and doping behaviours, attitudes, and beliefs and the extent to which this knowledge extends beyond the athlete to consider broader sports systems. The review followed PRISMA guidelines with risk of bias and study quality assessed by the Mixed Methods Appraisal Tool, and identified contributory factors synthesised and mapped onto a systems thinking-based framework. Overall, the included studies were determined to be of high quality. Support personnel, the coach, and the coach-athlete relationship represent key influences on the athletes' decisions to dope. From the evidence presented, doping is an emergent property of sport systems and represents a complex systemic problem that will require whole-of-system interventions. The implications for this and the focus of future research are discussed.

Testing the reliability of accident analysis methods: a comparison of AcciMap, STAMP-CAST and AcciNet.

Accident analysis methods are used to model the multifactorial cause of adverse incidents. Methods such as AcciMap, STAMP-CAST and recently AcciNet, are systemic approaches that support the identification of safety interventions across sociotechnical system levels. Despite their growing popularity, little is known about how reliable systems-based methods are when used to describe, model and classify contributory factors and relationships. Here, we conducted an intra-rater and inter-rater reliability assessment of AcciMap, STAMP-CAST and AcciNet using the Signal Detection Theory (SDT) paradigm. A total of 180 hours' worth of analyses across 360 comparisons were performed by 30 expert analysts. Findings revealed that all three methods produced a weak to moderate positive correlation coefficient, however the inter-rater reliability of STAMP-CAST was significantly higher compared to AcciMap and AcciNet. No statistically significant or practically meaningful differences were found between methods in the overall intra-rater reliability analyses. Implications and future research directions are discussed.

Practitioners who undertake accident analysis within their organisations should consider the use of STAMP-CAST due to the significantly higher inter-rater reliability findings obtained in this study compared to AcciMap and AcciNet, particularly if they tend to work alone and/or part of relatively small teams.

Towards a unified model of accident causation: refining and validating the systems thinking safety tenets.

The systems thinking tenets were developed based on a synthesis of contemporary accident causation theory, models and approaches and encapsulate 15 features of complex systems that interact to create both safety and adverse events. Whilst initial testing provided supportive evidence, the tenets have not yet been subject to formal validation. This article presents the findings from a three-round Delphi study undertaken to refine and validate the tenets and assess their suitability for inclusion in a unified model of accident causation. Participants with expertise in accident causation and systems thinking provided feedback on the tenets and associated definitions until an acceptable level of consensus was achieved. The results reduced the original 15 tenets to 14 and 10 were identified as important to include in unified model of accident causation. The refined systems thinking tenets are presented along with future research directions designed to facilitate their use in safety practice.Practitioner summary: This article presents a refined and validated set of systems thinking tenets which describe features of complex systems that interact to create adverse events. The tenets can be used by practitioners to proactively identify safety leading indicators and contributory factors during adverse event analysis.

Using systems thinking-based risk assessment methods to assess hazardous manual tasks: a comparison of Net-HARMS, EAST-BL, FRAM and STPA.

Formal risk assessment is a component of safety management relating to hazardous manual tasks (HMT). Systems thinking approaches are currently gaining interest for supporting safety management. Existing HMT risk assessment methods have been found to be limited in their ability to identify risks across the whole work system; however, systems thinking-based risk assessment (STBRA) methods were not designed for the HMT context and have not been tested in this area. The aim of this study was to compare the performance of four state-of-the-art STBRA methods: Net-HARMS, EAST-BL, FRAM and STPA to determine which would be most useful for identifying HMT risks. Each method was independently applied by one of four analysts to assess the risks associated with a hypothetical HMT system. The outcomes were assessed for alignment with a benchmark analysis. Using signal detection theory (SDT), overall STPA was found to be the best performing method having the highest hit rate, second lowest false alarm rate and highest Matthews Correlation Coefficient of the four methods.Practitioner summary: A comparison of four systems thinking risk assessment methods found that STPA had the highest level of agreement with the benchmark analysis and is the most suitable for practitioners to use to identify the risks associated with HMT systems.

A systems thinking approach to understanding youth active recreation.

BACKGROUND: Active recreation contributes to child and adolescent physical activity, however, factors affecting uptake are poorly understood at the systems level. The aims of this study were: (1) to use systems analysis methods to understand youth active recreation in Victoria, Australia, (ii) identify potential system leverage points to enhance active recreation, and (iii) explore stakeholder views of systems analysis methods for informing practice and policy decision-making. METHODS: Phase 1: Umbrella review of systematic reviews (2013-2018), synthesising evidence for correlates, determinants and intervention evidence for promoting active recreation. Phase 2: Development of three systems models (ActorMap and two ActivMaps), depicting active recreation actors/organisations, correlates, determinants and intervention evidence. Phase 3: Development of causal loop diagrams (CLDs) and identification of leverage points based on the Action Scales Model. Phase 4: Model feedback via stakeholder interviews (n = 23; 16 organisations). RESULTS: From the literature, 93 correlates and determinants, and 49 intervention strategies were associated with child and adolescent active recreation; the majority located at a social or individual level. Ten potential system leverage points were identified in the CLDs, which differed for pre-schoolers versus children and adolescents. Only time outdoors (an event leverage point) emerged for all age groups. Changes to the built and natural environment (i.e., land use planning, urban design) as a complete domain was a key structural leverage point for influencing active recreation in children and adolescents. Subject matter experts and stakeholder interviews identified 125 actors operating across seven hierarchical active recreation system levels in Victoria. Stakeholder interviews identified 12 areas for future consideration and recommendations for practice/policy influence. CONCLUSIONS: Our findings underscore the need for dynamic models of system behaviour in active recreation, and to capture stakeholder influence as more than a transactional role in evidence generation and use. Effective responses to youth inactivity require a network of interventions that target specific leverage points across the system. Our models illustrate areas that may have the greatest system-level impact, such as changes to the built and natural environment, and they provide a tool for policy, appraisal, advocacy, and decision-making within and outside of government.

Artificial intelligence in the detection of skin cancer.

Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. These capabilities may augment current diagnostic processes and improve the approach to the management of skin cancer. To explain this technology, we discuss fundamental terminology, potential benefits, and limitations of AI, and commercial applications relevant to dermatologists. A clear understanding of the technology may help to reduce physician concerns about AI and promote its use in the clinical setting. Ultimately, the development and validation of AI technologies, their approval by regulatory agencies, and widespread adoption by dermatologists and other clinicians may enhance patient care. Technology-augmented detection of skin cancer has the potential to improve quality of life, reduce health care costs by reducing unnecessary procedures, and promote greater access to high-quality skin assessment. Dermatologists play a critical role in the responsible development and deployment of AI capabilities applied to skin cancer.

A review of the evidence for Mohs micrographic surgery. Part 2: basal cell carcinoma.

Mohs micrographic surgery (MMS) is considered the gold-standard treatment for basal cell carcinoma (BCC) particularly for sites with a high-risk of incomplete excision such as the central face, for tumours with an aggressive growth pattern and consequent unpredictable subclinical extension and for recurrent tumours. However, the process is more time-consuming than for standard excision (SE), and the magnitude of benefit is uncertain. This article aims to provide a more complete picture of current evidence, including a review of cosmetic outcomes, tissue-sparing ability and cost-effectiveness of MMS. Although robust evidence is lacking, there is a large volume of observational data supporting a low recurrence rate after MMS. The risk of incomplete excision and higher recurrence rate of standard excision favours the use of MMS at high-risk sites. There is some low-certainty evidence that MMS results in a smaller defect size compared with SE, and that incomplete excision with SE results in larger defects. Larger defects may affect cosmetic outcome but there is no direct evidence that MMS improves cosmetic outcome compared with SE. There is conflicting evidence regarding the cost of MMS compared with SE, as some studies consider MMS less expensive than SE and others consider it more expensive, which may reflect the healthcare setting. A multicentre 10-year randomized controlled trial comparing MMS and SE in the treatment of high-risk BCC would be desirable, but is unlikely to be feasible or ethical. Collection of robust registry data capturing both MMS and SE outcomes would provide additional long-term outcomes.

Breast Autologous Fat Transfer Entirely Under Tumescent Anesthesia: Safety and Efficacy.

BACKGROUND/OBJECTIVES: The prior use of external expansion has been described in the literature as a tool to allow reliable grafting of more than 200 mLs of autologous fat under general anesthesia. The purpose of this study was to determine whether breast autologous fat transfer entirely under tumescent anesthesia (BAFTEUTA) is a safe and effective technique. METHODS: After institutional board approval, 22 consecutive patients were enrolled in this single-cohort, prospective study. All patients underwent preoperative expansion using manually evacuated domes. All procedures were performed under tumescent anesthesia with oral sedation. RESULTS: There was a median successful graft of 200 mLs. Complications were minimal and limited to occlusive folliculitis. CONCLUSION: Although the author has not reported as large graft volumes as some other authors, BAFTEUTA is a safe procedure and can have good outcomes with high levels of patient satisfaction.

Evaluation of Intraoperative Triamcinolone Injection or Primary Lobe Tacking (Pexing) Sutures for Preventing Pincushioning in Bilobed Transposition Flaps.

BACKGROUND: Bilobed transposition flaps are prone to pincushioning (trapdooring), whereby contraction of the flap over the wound bed may produce an unsatisfactory functional and aesthetic outcome. There are several proposed methods to prevent this, but there is currently no clear consensus on the ideal technique. OBJECTIVE: To compare primary lobe pexing sutures versus intraoperative triamcinolone (TAC) injection as methods to prevent pincushioning in bilobed transposition flaps. MATERIAL AND METHODS: A retrospective chart review of bilobed flap reconstructions identified from the Mohs micrographic surgery database at a single tertiary center in New Zealand. RESULTS: Three hundred forty-two patients met the inclusion criteria: 37 received pexing sutures, 42 intraoperative TAC, and 263 no additional intervention. The most defect common location was the nasal tip (43.6%), followed by the ala (20.8%). Ninety-three participants (27.2%) developed pincushioning at a median 35 days postoperatively. Participants receiving no intervention had a 30.8% pincushioning rate. The TAC group had a 23.8% pincushioning rate (p = .358), and the pexing group had a 5.5% pincushioning rate (p = .001). CONCLUSION: Participants receiving primary lobe pexing sutures had a statistically significantly lower rate of pincushioning than those receiving no intervention. Intraoperative TAC injections appeared to have little impact on pincushioning.

The winning score.

Incision lines placed at cosmetic boundaries and/or in rhytids during surgical procedures provide ideal concealment of scars. We suggest the use of a 30-gauge, half-inch needle or alternatively the back edge of a #15 scalpel blade to superficially score the skin to provide markings, which are fine enough to lie exactly within rhytids or at exact cosmetic boundaries such as the nasolabial fold or the junction of the cutaneous and vermillion lip. We measured the average depth of these scores to demonstrate that they are shallow enough to heal without scarring.

Identifying Constraints on Everyday Clinical Practice: Applying Work Domain Analysis to Emergency Department Care.

BACKGROUND: Emergency departments (EDs) are complex socio-technical work systems that require staff to manage patients in an environment of fluctuating resources and demands. To better understand the purpose, and pressures and constraints for designing new ED facilities, we developed an abstraction hierarchy model as part of a work domain analysis (WDA) from the cognitive work analysis (CWA) framework. The abstraction hierarchy provides a model of the structure of the ED, encompassing the core objects, processes, and functions relating to key values and the ED's overall purpose. METHODS: Reviews of relevant national and state policy, guidelines, and protocol documents applicable to care delivery in the ED were used to construct a WDA. The model was validated through focus groups with ED clinicians and subsequently validated using a series of WDA prompts. RESULTS: The model shows that the ED system exhibits extremely interconnected and complex features. Heavily connected functions introduce vulnerability into the system with function performance determined by resource availability and prioritization, leading to a trade-off between time and safety priorities. CONCLUSIONS: While system processes (e.g., triage, fast-track) support care delivery in ED, this delivery manifests in complex ways due to the personal and disease characteristics of patients and the dynamic state of the ED system. The model identifies system constraints that create tension in care delivery processes (e.g., electronic data entry, computer availability) potentially compromising patient safety. APPLICATION: The model identified aspects of the ED system that could be leveraged to improve ED performance through innovative ED system design.

Incident reporting in the outdoors: a systems-based analysis of injury, illness, and psychosocial incidents in led outdoor activities in Australia.

Incident reporting systems are a fundamental component of safety management, however, most systems used in practice are not aligned with contemporary accident causation models. This article presents an analysis of a National Incident Dataset (NID) for adverse incidents occurring in the Australian Led Outdoor Activity (LOA) sector. The aim was to investigate the adverse Injury, Illness, and Psychosocial incidents reported to the NID. In total, 1657 injuries, 532 illnesses, and 146 psychosocial incidents were analysed from 357,691 program participation days. The findings show that the rate of incidents per 1000 program participant days in LOAs was 4.6 for injury, 1.5 for illness, and 0.04 for psychosocial incidents, and incident severity was predominately minor. The analysis of systemic contributory factors demonstrates that incidents in LOA are systemic in nature, with multiple levels of the LOA system identified as contributing to adverse incidents. For example, contributory factors were identified across local government (facilities), schools (communication), parents (communication), LOA management (policies and procedures), people involved in the incidents (mental and physical condition), and the environment (terrain) and equipment (clothing). This study presents an assessment of the current state of safety in the Australian LOA sector and demonstrates the utility of applying systems ergonomics methods in practice. Practitioner summary: This article presents an analysis of 1657 injury, 532 illness, and 146 psychosocial incidents occurring in the Australian Led Outdoor Activity (LOA) sector, using a systems ergonomics method. The findings demonstrate the incident charactersitics and how decisions and actions from across the system contribute to adverse incidents in LOAs.

Testing the reliability and validity of risk assessment methods in Human Factors and Ergonomics.

There is growing interest in the use of systems-based risk assessment methods in Human Factors and Ergonomics (HFE). The purpose of this study was to test the intra-rater reliability and criterion-referenced concurrent validity of three systems-based risk assessment approaches: (i) the Systems-Theoretic Process Analysis (STPA) method; (ii) the Event Analysis of Systemic Teamwork Broken Links (EAST-BL) method; and, (iii) the Network Hazard Analysis and Risk Management System (Net-HARMS) method. Reliability and validity measures were obtained using the Signal Detection Theory (SDT) paradigm. Whilst STPA identified the highest number of risks, the findings indicate a weak to moderate level of reliability and validity for STPA, EAST-BL and Net-HARMS. There were no statistically significant differences between the methods across analyses. The results suggest that there is merit to the continued use of systems-based risk assessment methods following a series of methodological extensions that aim to enhance the reliability and validity of future applications. Practitioner summary The three risk assessment methods produced weak to moderate levels of stability and accuracy regarding their capability to predict risks. There is a pressing need to further test the reliability and validity of safety methods in Human Factors and Ergonomics.

Using cognitive work analysis to identify competencies for human factors and ergonomics practitioners.

While several competency frameworks have been proposed for Human Factors and Ergonomics (HFE) practitioners, these are not commonly based on structured analyses. The aim of this research was to develop a sociotechnical systems model of the HFE practitioner role in Australia and identify the competencies required to fulfil the role. Study One applied the Work Domain Analysis phase of cognitive work analysis (CWA) to model the HFE practitioner role. Model refinement was undertaken with seven subject matter experts. In Study Two, the model was used to elicit the competencies (knowledge, skills, abilities, other characteristics) required for successful performance, via a survey of 28 HFE practitioners. Most competencies related to skills (i.e. communication skills) and knowledge (i.e. domain knowledge). Gaps in competencies were also identified, linked to a lack of HFE education pathways in Australia. The findings have practical utility for designing HFE practitioner roles and educational programs. Practitioner summary: Cognitive work analysis provided a structured analysis of the role of the Human Factors and Ergonomics (HFE) practitioner and to support the identification of competencies. The results suggest that HFE practitioners are generalists rather than specialists and have implications for the job design and education of HFE practitioners. Abbreviations: BCPE: board of certification in professional ergonomics; CIEHF: chartered institute of ergonomics and human factors; CWA: cognitive work analysis; HFE: human factors and ergonomics; HFESA: human factors and ergonomics society of Australia; IEA: International Ergonomics Association; KSAO: knowledge, skills, abilities and other characteristics; O*NET: occupation information network; SME: subject matter expert; SRK: skills, rules, knowledge; UK: United Kingdom; USA: United States of America; WDA: work domain analysis.

State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems.

This state of the science review brings together the disparate literature of effective strategies for enhancing and accelerating team performance. The review evaluates and synthesises models and proposes recommended avenues for future research. The two major models of the Input-Mediator-Output-Input (IMOI) framework and the Big Five dimensions of teamwork were reviewed and both will need significant development for application to future teams comprising non-human agents. Research suggests that a multi-method approach is appropriate for team measurements, such as the integration of methods from self-report, observer ratings, event-based measurement and automated recordings. Simulations are recommended as the most effective team-based training interventions. The impact of new technology and autonomous agents is discussed with respect to the changing nature of teamwork. In particular, whether existing teamwork models and measures are suitable to support the design, operation and evaluation of human-nonhuman teams of the future. Practitioner summary: This review recommends a multi-method approach to the measurement and evaluation of teamwork. Team models will need to be adapted to describe interaction with non-human agents, which is what the future is most likely to hold. The most effective team training interventions use simulation-based approaches.

Mechanisms of scaling up: combining a realist perspective and systems analysis to understand successfully scaled interventions.

BACKGROUND: Sustainable shifts in population behaviours require system-level implementation and embeddedness of large-scale health interventions. This paper aims to understand how different contexts of scaling up interventions affect mechanisms to produce intended and unintended scale up outcomes. METHODS: A mixed method study combining a realist perspective and systems analysis (causal loop diagrams) of scaled-up physical activity and/or nutrition interventions implemented at a state/national level in Australia (2010-18). The study involved four distinct phases: Phase 1 expert consultation, database and grey literature searches to identify scaled-up interventions; Phase 2 generating initial Context-Mechanism-Outcome configurations (CMOs) from the WHO ExpandNet framework for scaling up; Phase 3 testing and refining CMOs via online surveys and realist interviews with academics, government and non-government organisations (NGOs) involved in scale up of selected interventions (Phase 1); and Phase 4 generating cross-case mid-range theories represented in systems models of scaling up; validated by member checking. Descriptive statistics were reported for online survey data and realist analysis for interview data. RESULTS: Seven interventions were analysed, targeting nutrition (n = 1), physical activity (n = 1), or a combination (n = 5). Twenty-six participants completed surveys; 19 completed interviews. Sixty-three CMO pathways underpinned successful scale up, reflecting 36 scale up contexts, 8 key outcomes; linked via 53 commonly occurring mechanisms. All five WHO framework domains were represented in the systems models. Most CMO pathways included 'intervention attributes' and led to outcomes 'community sustainability/embeddedness' and 'stakeholder buy-in/perceived value'. Irrespective of interventions being scaled in similar contexts (e.g., having political favourability); mechanisms still led to both intended and unintended scale up outcomes (e.g., increased or reduced sustainability). CONCLUSION: This paper provides the first evidence for mechanisms underpinning outcomes required for successful scale up of state or nationally delivered interventions. Our findings challenge current prerequisites for effective scaling suggesting other conditions may be necessary. Future scale up approaches that plan for complexity and encourage iterative adaptation throughout, may enhance scale up outcomes. Current linear, context-to-outcome depictions of scale up oversimplify what is a clearly a complex interaction between perceptions, worldviews and goals of those involved. Mechanisms identified in this study could potentially be leveraged during future scale up efforts, to positively influence intervention scalability and sustainability.

Applying a systems thinking lens to injury causation in the outdoors: Evidence collected during 3 years of the Understanding and Preventing Led Outdoor Accidents Data System.

INTRODUCTION: This article presents a detailed systems analysis of injury incidents from 35 Australian led outdoor activity organisations between 2014 to 2017. METHOD: Injury incident reports were collected using a specific led outdoor activity incident reporting system known as UPLOADS (Understanding and Preventing Led Outdoor Accidents Data System). RESULTS: In total, 1367 people sustained injuries from across 20 different activities, with an injury rate of 1.9 injured people per 1000 participants over the three-year period. A total of 2234 contributory factors from multiple levels of the led outdoor activity system were identified from the incident reports, and 361 relationships were identified between contributory factors. DISCUSSION: This systems analysis of injury incidents demonstrates that it is not only factors within the immediate context of the incident (Participants, Environment, Equipment) but factors from across multiple systemic levels that contributes to injury incidents (Schools, Parents, Activity centre management). Prevention efforts should focus on addressing the whole network of contributing factors and not only the prominent factors at the lower system levels within the immediate context of the injury incident occurrences.

The Binary-Based Model (BBM) for Improved Human Factors Method Selection.

OBJECTIVE: This paper presents the Binary-Based Model (BBM), a new approach to Human Factors (HF) method selection. The BBM helps practitioners select the most appropriate HF methodology in relation to the complexity within the target system. BACKGROUND: There are over 200 HF methods available to the practitioner and little guidance to help choose between them. METHOD: The BBM defines a HF "problem space" comprising three complexity attributes. HF problems can be rated against these attributes and located in the "problem space." In addition, a similar HF "approach space" in which 66 predictive methods are rated according to their ability to confront those attributes is defined. These spaces are combined into a "utility space" in which problems and methods coexist. In the utility space, the match between HF problems and methods can be formally assessed. RESULTS: The method space is split into octants to establish broad groupings of methods distributed throughout the space. About 77% of the methods reside in Octant 1 which corresponds to problems with low levels of complexity. This demonstrates that most HF methods are suited to problems in low-complexity systems. CONCLUSION: The location of 77% of the rated methods in Octant 1 indicates that HF practitioners are underserved with methods for analysis of HF problems exhibiting high complexity. APPLICATION: The BBM can be used by multidisciplinary teams to select the most appropriate HF methodology for the problem under analysis. All the materials and analysis are placed in the public domain for modification and consensus building by the wider HF community.