Nuzhath Khan

Assessing the cost effectiveness of robotics in urological surgery - a systematic review

Study Type – Therapy (systematic review)

Measuring the surgical 'learning curve': methods, variables and competency.

To describe how learning curves are measured and what procedural variables are used to establish a ‘learning curve’ (LC). To assess whether LCs are a valuable measure of competency.

Development and content validation of a surgical safety checklist for operating theatres that use robotic technology.

To identify and assess potential hazards in robot‐assisted urological surgery. To develop a comprehensive checklist to be used in operating theatres with robotic technology.

Learning curves for cardiothoracic and vascular surgical procedures: a systematic review

Abstract Objectives. The aim of this systematic review is to evaluate the learning curve (LC) literature and identify the LC of cardiothoracic and vascular surgical procedures. Summary and background. The LC describes an observation that a learner’s performance improves over time during acquisition of new motor skills. Measuring the LC of surgical procedures has important implications for surgical innovation, education, and patient safety. Numerous studies have investigated LCs of isolated operations in cardiothoracic and vascular surgeries, but a lack of uniformity in the methods and variables used to measure LCs has led to a lack of systematic reviews. Methods. The MEDLINE®, EMBASE™, and PsycINFO® databases were systematically searched until July 2013. Articles describing LCs for cardiothoracic and vascular procedures were included. The type of procedure, statistical analysis, number of participants, procedure setting, level of participants, outcomes, and LCs were reviewed. Results. A total of 48 studies investigated LCs in cardiothoracic and vascular surgeries. Based on operating time, the LC for coronary artery bypass surgery ranged between 15 and 100 cases; for endoscopic vessel harvesting and other cardiac vessel surgery between 7 and 35 cases; for valvular surgery, which included repair and replacement, between 20 and 135 cases; for video-assisted thoracoscopic surgery, between 15 and 35 cases; for vascular neurosurgical procedures between 100 and 500 cases, based on complications; for endovascular vessel repairs between 5 and 40 cases; and for ablation procedures between 25 and 60 cases. However there was a distinct lack of standardization in the variables/outcome measures used, case selection, prior experience, and supervision of participating surgeons and a range of statistical analyses to compute LCs was noted. Conclusion. LCs in cardiothoracic and vascular procedures are hugely variable depending on the procedure type, outcome measures, level of prior experience, and methods/statistics used. Uniformity in methods, variables, and statistical analysis is needed to derive meaningful comparisons of LCs. Acknowledgment and application of learning processes other than those reliant on volume–outcomes relationship will benefit LC research and training of surgeons.

Introducing the productive operating theatre programme in urology theatre suites

Background: The Productive Operating Theatre (TPOT) is a theatre improvement programme designed by the UK National Health Service. The aim of this study was to evaluate the implementation of TPOT in urology operating theatres and identify obstacles to running an ideal operating list. Method: TPOT was introduced in two urology operating theatres in September 2010. A multidisciplinary team identified and audited obstacles to the running of an ideal operating list. A brief/debrief system was introduced and patient satisfaction was recorded via a structured questionnaire. The primary outcome measure was the effect of TPOT on start and overrun times. Results: Start times: 39-41% increase in operating lists starting on time from September 2010 to June 2011, involving 1,365 cases. Overrun times: Declined by 832 min between March 2010 and March 2011. The cost of monthly overrun decreased from September 2010 to June 2011 by GBP 510-3,030. Patient experience: A high degree of satisfaction regarding level of care (77%), staff hygiene (71%) and information provided (72%), while negative comments regarding staff shortages and environment/facilities were recorded. Conclusions: TPOT has helped identify key obstacles and shown improvements in efficiency measures such as start/overrun times.

Measuring the surgical ‘learning curve’: methods, variables and competency: Measuring the surgical ‘learning curve’

To describe how learning curves are measured and what procedural variables are used to establish a ‘learning curve’ (LC). To assess whether LCs are a valuable measure of competency.

Measuring the surgical 'learning curve'

To describe how learning curves are measured and what procedural variables are used to establish a ‘learning curve’ (LC). To assess whether LCs are a valuable measure of competency.