Cognitive training and assessment in robotic surgery is it effective?

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many men suffering from both conditions [6], it would suggest that .... Kamran Ahmed acknowledges educational research support ... J Urol 2012; 187: 247–52. 6.
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[5]. We are familiar with carrying out cardiovascular risk assessment, screening for diabetes and giving lifestyle advice to men with erectile dysfunction. Given the evidence suggesting that erectile dysfunction and BPH are closely associated, with many men suffering from both conditions [6], it would suggest that perhaps we should be doing the same for men presenting with symptomatic BPH. An awareness and understanding of the connection between BPH and metabolic syndrome should encourage all physicians to assess patients with LUTS/BPH for underlying cardiovascular risk. It suggests that as a minimum, a number of baseline investigations should be carried out: blood pressure measurement, a fasting lipid profile (and formal cardiovascular risk profile using established algorithms, such as QRISK®), assessment for diabetes using fasting glucose or glycated haemoglobin (HbA1c), measurement of weight and BMI, or ideally the measurement of abdominal circumference (as central obesity is a far more sensitive marker of risk than BMI). Identification of features of the metabolic syndrome allows for tailored lifestyle intervention, in terms of increasing exercise, dietary changes, weight loss, smoking cessation advice and alcohol moderation. Medical management of hypertension, diabetes, dyslipidaemia and cardiovascular disease may be required according to national guidelines. Huge numbers of men die prematurely from cardiovascular disease and complications of type 2 diabetes, and men are renowned for poor engagement with primary preventive strategies to decrease this risk. Men presenting to their GP or

Urologist with symptoms from BPH are therefore presenting us with an opportunity to intervene and potentially save lives in the process – the prostate can be considered a gateway to wider aspects of men’s health, far beyond the quality-of-life impact of LUTS.

Conflicts of Interest None disclosed. Jonathan Rees Backwell & Nailsea Medical Group, North Somerset, UK

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Hammarsten J, Peeker R. Urological aspects of the metabolic syndrome. Nat Rev Urol 2011; 8: 483–94 Gacci M, Corona G, Vignozzi L et al. Metabolic syndrome and benign prostatic enlargement: a systematic review and meta-analysis. BJU Int 2015; 115: 24–31 Parsons JK, Messer K, White M et al. Obesity increases and physical activity decreases lower urinary tract symptom risk in older men: the Osteoporotic Fractures in Men Study. Eur Urol 2011; 60: 1173–80 St Sauver J, Jacobsen SJ, Jacobson DJ et al. Statin use and decreased risk of benign prostatic enlargement and lower urinary tract symptoms. BJU Int 2011; 107: 443–50 Rees J, Kirby M. Metabolic syndrome and common urological conditions: looking beyond the obvious. Trends in Urology and Men’s Health 2014; 5: 9–14 Rosen R, Altwein J, Boyle P et al. Lower urinary tract symptoms and male sexual dysfunction: the multinational survey of the aging male (MSAM-7). Eur Urol 2003; 44: 637–49

Cognitive training and assessment in robotic surgery – is it effective? A formal and standardised process of credentialing and certification is required that should not merely be based on the number of completed cases but should be done via demonstration of proficiency and safety in robotic procedural skills. Therefore, validated assessment tools for technical and non-technical skills are required. In addition to effective technical skills, non-technical skills are vital for safe operative practice. These skill-sets can be divided into three categories; social (communication, leadership and teamwork), cognitive (decision making, planning and situation awareness) and personal resource factors (ability to cope with stress and fatigue) [1] (Fig. 1). Robotic surgeons are not exempt in requiring these skills, as situation awareness for example may become of even more significance with the surgeon placed at a distance from the

patient. Most of these skills can, just like technical skills, be trained and assessed. Various assessment tools have been developed, e.g. the Non-Technical Skills for Surgeons (NOTSS) rating system [1] that provides useful insight into individual non-technical skill performance. The Observational Teamwork Assessment for Surgery (OTAS) rating scale has additionally been developed and is suited better for operative team assessment [2]. Decision-making (cognitive skill) is considered as one of the advanced sets of skills and it consolidates exponentially with increasing clinical experience [3]. A structured method for this sub-set of skills training and assessment does not exist. The present paper by Guru et al. [4] discusses an interesting objective method to evaluate robot-assisted surgical © 2014 The Authors BJU International © 2014 BJU International

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Fig. 1 Assessment for robotic skills and non-technical skill components and definitions [1].

Technical Skills

Cognitive Assessment

GEARS Machine Based Metrics

Non-Technical Skills NOTSS OTAS Video-Feedback

Robotic Surgery Assessment

Situation awareness

Developing and maintaining a dynamic awareness of the situation in theatre based on assembling data from the environment (patient, team, time, displays, equipment); understanding what they mean, and thinking ahead about what may happen next.

Decision-making

Skills for diagnosing the situation and reaching a judgement in order to choose an appropriate course of action.

Teamwork and communication Skills for working in a team context to ensure that the team has an acceptable shared picture of the situation and can complete tasks effectively Leadership

Leading the team and providing direction, demonstrating high standards of clinical practice and care, and being considerate about the needs of individual team members.

proficiency of surgeons at different levels. The paper discusses the use of utilising cognitive assessment tools to define skill levels. This incorporates cognitive engagement, mental workload, and mental state. The authors have concluded from the results that cognitive assessment offers a more effective method of differentiation of ability between beginners, competent and proficient, and expert surgeons than previously used objective methods, e.g. machine-based metrics. Despite positive results, we think that further investigation is required before using cognitive tools for assessment reliably. Numbers were limited to 10 participants in the conducted study, with only two participants classified into the beginner cohort. This provides a limited cross-section of the demographic and further expansion of the remaining competent and proficient and expert cohorts used would be desirable. Furthermore, whilst cognitive assessment has the potential as a useful assessment tool, utility within training of surgeons is not discussed at present. Currently cognitive assessment shows at what stage a performer is within his development of acquiring technical skills; however, it does © 2014 The Authors 6 BJU International © 2014 BJU International

not offer the opportunity for identification as to how to improve the current level of skills. A tool with integration of constructive feedback is lacking. However, via identification of the stage of learning within steps of an individual procedure could provide this feedback. Via demonstration of steps that are showing a higher cognitive input, areas requiring further training are highlighted. Cognitive assessment may via this approach provide not only a useful assessment tool but may be used within training additionally. The present paper [4] does highlight the current paucity and standardisation of assessment tools within robotics. Few tools have been developed specifically for addressing technical aspects of robotic surgery. The Global Evaluative Assessment of Robotic Skills (GEARS) offers one validated assessment method [5]. Additionally, several metrics recorded in the many robotic simulators available offer validated methods of assessment [6]. These two methods offer reliable methods of both assessing and training technical skills for robotic procedures.

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It is now evident that validated methods for assessment exist; however, currently technical and non-technical skills assessments occur as separate entities. A true assessment of individual capability for robotic performance would be achieved via the integration of these assessment tools. Therefore, any assessment procedure should be conducted within a fully immersive environment and using both technical and non-technical assessment tools. Furthermore, standardisation of the assessment process is required before use for purposes of selection and certification. Cognitive assessment requires further criteria for differentiation of skill levels. However, it does add an adjunct to the current technical and non-technical skill assessment tools. Integration and standardisation of several assessment methods is required to ensure a complete assessment process.

Conflict of Interest Kamran Ahmed acknowledges educational research support from The Urology Foundation (TUF), Olympus and the Royal College of Surgeons of England. No other conflicts to declare.

Oliver Brunckhorst and Kamran Ahmed MRC Centre for Transplantation, King’s College London, King’s Health Partners, Department of Urology, Guy’s Hospital, London, UK

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Yule S, Flin R, Paterson-Brown S, Maran N, Rowley D. Development of a rating system for surgeons’ non-technical skills. Med Educ 2006; 40: 1098–104 Undre S, Healey AN, Darzi A, Vincent CA. Observational assessment of surgical teamwork: a feasibility study. World J Surg 2006; 30: 1774–83 Flin R, Youngson G, Yule S. How do surgeons make intraoperative decisions? Qual Saf Health Care 2007; 16: 235–9 Guru KA, Esfahani ET, Raza SJ et al. Cognitive skills assessment during robot-assisted surgery: separating the wheat from the chaff. BJU Int 2015; 115: 166–74 Goh AC, Goldfarb DW, Sander JC, Miles BJ, Dunkin BJ. Global evaluative assessment of robotic skills: validation of a clinical assessment tool to measure robotic surgical skills. J Urol 2012; 187: 247–52 Abboudi H, Khan MS, Aboumarzouk O et al. Current status of validation for robotic surgery simulators – a systematic review. BJU Int 2013; 111: 194–205

© 2014 The Authors BJU International © 2014 BJU International

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