NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study

Navigational Needs and Preferences of Hospital Patients and Visitors: What Prospects for Smart Technologies?

In this paper, we map navigational needs and preferences of patients and visitors to evaluate the appropriateness of a smartphone navigation application in the hospital in contrast to other, more traditional navigational cues. We test the effects of sociodemographic variables (age, gender, education) on wayfinding strategies and preferences of respondents (using chi2 tests). Empirical research is based on the survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found a relatively weak association between gender and wayfinding—no major differences between men and women in navigational preferences were found. Age was the most important predictor of wayfinding. Respondents in the over-60-year age group were characteristic of a lower interest in changes of the navigational system and low willingness to use mobile applications for navigation—people between 41 years and 60 years were the biggest supporters of changes. Correspondingly, demand for improvement of navigation (including a mobile application) was positively correlated with educational level.

An interview analysis of coordination behaviours in Out-of-Hours secondary care

This paper seeks to elicit and structure the factors that shape the execution and, in particular, the coordination of work in Out of Hours care. Evenings and weekends in UK hospitals are managed by specific Out of Hours (OoH) care arrangements, and associated technology. Managing care within the constraints of staff availability and demands is a key concern for both patient care and staff wellbeing, yet has received little attention from healthcare human factors. A study of sixteen clinical staff used Critical Decision Method to understand how work is coordinated and the constraints and criteria that are applied by the roles managing OoH care. The analysis identified ten types of coordination decision that, in turn, underpinned three types of adaptive behaviour - pre-emption, information augmentation and self-organisation - that were crucial for the effective performance in OoH care. These behaviours explain how OoH staff manage the task demands placed on them, individually and as a team.