ABSTRACT
Hospital medicine in the UK is under unprecedented pressure, with increasing demand on physicians as well as challenges in recruiting new doctors into the physicianly specialties. We sought to assess the prevalence of the afternoon ward round and its effect on those undertaking them. We sampled each hospital within our postgraduate region, surveying junior doctors working on inpatient medical wards. We surveyed roughly two-thirds of eligible doctors, -finding that 30% of juniors had some commitment, of varying frequency, to ward rounds beginning after 1.00pm. Of the -doctors involved in afternoon ward rounds, the majority felt they contributed to late finishes, delayed discharge of -patients, reduced team efficiency and reduced job -satisfaction. Just under 80% felt they were less likely to consider a career in hospital medicine as a result The afternoon ward round lives on, and we should not -underestimate its effect. Low junior doctor morale coupled with high work intensity can lead to burnout as well as -impairing the effectiveness of the clinical service. Clinical -leaders should consider leaving this practice in the past so we can cope with the challenges of the future.
ABSTRACT
Accurate prediction of the likelihood of same-day discharge could make it possible to direct one-third of the medical in-take to an ambulatory care unit, thereby facilitating bed management. In Phase 1 of this study, we identified seven independent factors that contribute to an ambulatory care score (Amb score) that can potentially be used as a tool to select ambulatory emergency care (AEC) patients from the medical emergency in-take. A high score was associated with discharge within 12 hours of assessment and treatment in hospital. In Phase 2, we verified and internally validated the performance of the Amb score in a different cohort of patients, finding that it functioned well in identifying early discharges (ie AEC patients), with an area under the receiver operator curve (AUROC) of 0.91 (95% CI 0.88-0.94). An Amb score of > or = 5 has a sensitivity of 96% (95% CI 90-98) and a specificity of 62% (95% CI 55-68) in identifying potential AEC patients.
