Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals.

Abstract

Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitationand stroke severity as determined by National Institute for Health Stroke Scaleon stroke admission. From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90-day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90-day readmissions to inform service evaluation and improvement.