Causes and characteristics of medical student referrals to a professional behaviour board

Objectives: To describe the nature of unprofessional behaviour displayed by medical students, as well as the characteristics of students referred to the professional behaviour board. Methods: A descriptive mixed methods approach was taken, in which qualitative data on unprofessional behaviour, as well as quantitative data on the demographics of referred students were collected during the study period between June 1, 2009 and January 1, 2014. In order to compare the referred students with the total student population, data on gender, nationality and phase in the curriculum of the total student population, collected from the student administration desk, were also used. Results: In the study period, a total of 107 referrals were reported, concerning 93 different students (3% of the total student population). Sixty-five of the 107 referrals (61%) concerned male students. Thirty referrals (28%) concerned non-Dutch students. Most referrals (71%) occurred during clinical rotations. The referrals were equally distributed over three professional behaviour domains: dealing with oneself, dealing with others, and dealing with tasks/work. 'Withdrawn behaviour' was reported 17 times, 'insufficient Dutch language proficiency' 14 times, 'impertinent emails' 9 times and 'placing privacy-sensitive photos on the internet' 3 times. Conclusions: Although only a minority of students are referred to a professional behaviour board, this study shows that student characteristics such as gender and nationality may correlate to a higher incidence of unprofessional behaviour. Further explanatory and exploratory research is needed to unravel this relationship, and to study the influence of curriculum reforms on these relationships, respectively

Predicting 30-day mortality in intensive care unit patients with ischaemic stroke or intracerebral haemorrhage

BACKGROUND Stroke patients admitted to an intensive care unit (ICU) follow a particular survival pattern with a high short-term mortality, but if they survive the first 30 days, a relatively favourable subsequent survival is observed. OBJECTIVES The development and validation of two prognostic models predicting 30-day mortality for ICU patients with ischaemic stroke and for ICU patients with intracerebral haemorrhage (ICH), analysed separately, based on parameters readily available within 24 h after ICU admission, and with comparison with the existing Acute Physiology and Chronic Health Evaluation IV (APACHE-IV) model. DESIGN Observational cohort study. SETTING All 85 ICUs participating in the Dutch National Intensive Care Evaluation database. PATIENTS All adult patients with ischaemic stroke or ICH admitted to these ICUs between 2010 and 2019. MAIN OUTCOME MEASURES Models were developed using logistic regressions and compared with the existing APACHE-IV model. Predictive performance was assessed using ROC curves, calibration plots and Brier scores. RESULTS We enrolled 14 303 patients with stroke admitted to ICU: 8422 with ischaemic stroke and 5881 with ICH. Thirty-day mortality was 27% in patients with ischaemic stroke and 41% in patients with ICH. Important factors predicting 30-day mortality in both ischaemic stroke and ICH were age, lowest Glasgow Coma Scale (GCS) score in the first 24 h, acute physiological disturbance (measured using the Acute Physiology Score) and the application of mechanical ventilation. Both prognostic models showed high discrimination with an AUC 0.85 [95% confidence interval (CI), 0.84 to 0.87] for patients with ischaemic stroke and 0.85 (0.83 to 0.86) in ICH. Calibration plots and Brier scores indicated an overall good fit and good predictive performance. The APACHE-IV model predicting 30-day mortality showed similar performance with an AUC of 0.86 (95% CI, 0.85 to 0.87) in ischaemic stroke and 0.87 (0.86 to 0.89) in ICH. CONCLUSION We developed and validated two prognostic models for patients with ischaemic stroke and ICH separately with a high discrimination and good calibration to predict 30-day mortality within 24 h after ICU admission

Professionalism or professional behaviour: no reason to choose between the two

Prevention, Population and Disease management (PrePoD