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Purpose Typically around 30% of acute beds used by older people deliver care that could be provided in ‘non-acute’ settings. Such ‘avoidable’ bed use results in ‘delayed’ hospital discharges. This study examined this problem using statistics that are routinely collected but not routinely used to support service development. Methods Daily, hospital staff document the number of patients who are ‘clinically fit for discharge’ (but still in hospital) and the reasons for their extended stay. These data were analysed over a 2-month period at two acute hospitals in England. Results At hospital one there were 164 delayed patients with discharge delays ranging from 1 to 72 days (at hospital 2, 113 patients, delayed by 1–18 days). At hospital 1, 59.8% of patients were delayed by ≤7 days, 87.5% at hospital 2. Total delayed bed days were 1674 at hospital 1: patients delayed by ≥8 days (40.2%) accounted for 80.0% of this figure. Figures for hospital 2 were 378 delayed days: 12.5% of patients delayed by ≥8 days generated 48.0% of this total. Resolving long delays involved complex negotiations between health and social care professionals, patients and carers. Conclusions Routinely available statistics can support pathway design but they underestimate the true scale of discharge delays. These results suggest that the development of integrated care pathways that focus on clinical care for specific conditions will have most impact on the number of patients experiencing discharge delays. To reduce the number of delayed bed days, pathways also need to embrace a multi-morbidity, whole system focus.

Designing integrated care pathways to facilitate acute hospital discharge: the role of routinely available statistics