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Human error is as old as humanity itself and is an appreciable cause of mistakes by both organisations and people. Much of the work related to human factors in causing error has originated from aviation where mistakes can be catastrophic not only for those who contribute to the error, but for passengers as well. The role of human error in medical and surgical incidents, which are often multifactorial, is becoming better understood, and includes both organisational issues (by the employer) and potential human factors (at a personal level). Mistakes as a result of individual human factors and surgical teams should be better recognised and emphasised. Attitudes and acceptance of preoperative briefing has improved since the introduction of the World Health Organization (WHO) surgical checklist. However, this does not address limitations or other safety concerns that are related to performance, such as stress and fatigue, emotional state, hunger, awareness of what is going on situational awareness, and other factors that could potentially lead to error. Here we attempt to raise awareness of these human factors, and highlight how they can lead to error, and how they can be minimised in our day-to-day practice. Can hospitals move from being "high risk industries" to "high reliability organisations"?

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The UK national recruitment process into general practice training has been developed over several years, with incremental introduction of stages which have been piloted and validated. Previously independent processes, which encouraged multiple applications and produced inconsistent outcomes, have been replaced by a robust national process which has high reliability and predictive validity, and is perceived to be fair by candidates and allocates applicants equitably across the country. Best selection practice involves a job analysis which identifies required competencies, then designs reliable assessment methods to measure them, and over the long term ensures that the process has predictive validity against future performance. The general practitioner recruitment process introduced machine markable short listing assessments for the first time in the UK postgraduate recruitment context, and also adopted selection centre workplace simulations. The key success factors have been identified as corporate commitment to the goal of a national process, with gradual convergence maintaining locus of control rather than the imposition of change without perceived legitimate authority.

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This study examined whether two machine-marked tests (MMTs; a clinical problem-solving test and situational judgement test), previously validated for selection into U.K. general practice (GP) training, could provide a valid methodology for shortlisting into core medical training (CMT). A longitudinal design was used to examine the MMTs' psychometric properties in CMT samples, and correlations between MMT scores and CMT interview outcomes. Independent samples from two years were used: in 2008, a retrospective analysis was conducted (n=1711), while in 2009, CMT applicants completed the MMTs for evaluation purposes (n=2265). Both MMTs showed good reliability in CMT samples, similar to GP samples. Both MMTs were good predictors of CMT interview performance (r = 0.56, p < 0.001 in 2008; r = 0.61, p < 0.001 in 2009) and offered incremental validity over the current shortlisting process. The GP MMTs offer an appropriate measurement methodology for selection into CMT, representing a significant innovation for selection methodology.

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BACKGROUND AND AIM: Although medical students have increasingly more opportunities to participate in international electives, their experiences are usually unstructured and the literature referring to their learning outcomes, educational environment, and assessment is scanty. This study was undertaken to clarify qualitatively what students learn from their international electives. METHODS: We carried out semi-structured individual interviews with 15 Japanese students studying clinical medicine in British medical schools and six British students studying in Japanese medical schools. The thematic synthesis method was used in analysing the transcribed data and triangulation by multiple researchers was used to achieve higher reliability. RESULTS: The main learning outcomes identified were skills in history taking and physical examination with clinical reasoning and in management of diseases rarely seen in the students' own countries; awareness of clinical ethics and merits and demerits of different systems of healthcare and medical education; sensitivity to issues in doctor-patient relationships and work ethics; enhancement of cultural competence; and personal development. CONCLUSIONS: Most learning outcomes of international electives are culture- or system-dependent. Students achieved outcomes related closely to medical professionalism, mainly through reflection. International electives may give students opportunities to learn both professionalism and cultural competence.

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OBJECTIVE: This study aimed to evaluate the effectiveness and efficiency of three short-listing methodologies for use in selecting trainees into postgraduate training in general practice in the UK. METHODS: This was an exploratory study designed to compare three short-listing methodologies. Two methodologies - a clinical problem-solving test (CPST) and structured application form questions (AFQs) - were already in use for selection purposes. The third, a new situational judgement test (SJT), was evaluated alongside the live selection process. An evaluation was conducted on a sample of 463 applicants for training posts in UK general practice. Applicants completed all three assessments and attended a selection centre that used work-related simulations at final stage selection. Applicant scores on each short-listing methodology were compared with scores at the selection centre. RESULTS: Results indicate the structured AFQs, CPST and SJT were all valid short-listing methodologies. The SJT was the most effective independent predictor. Both the structured AFQs and the SJT add incremental validity over the use of the CPST alone. Results show that optimum validity and efficiency is achieved using a combination of the CPST and SJT. CONCLUSIONS: A combination of the CPST and SJT represents the most effective and efficient battery of instruments as, unlike AFQs, these tests are machine-marked. Importantly, this is the first study to evaluate a machine-marked SJT to assess non-clinical domains for postgraduate selection. Future research should explore links with work-based assessment once trainees are in post to address long-term predictive validity.

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