Sequence Analysis of Long-Term Readmissions among High-Impact Users of Cerebrovascular Patients

Objective. Understanding the chronological order of the causes of readmissions may help us assess any repeated chain of events among high-impact users, those with high readmission rate. We aim to perform sequence analysis of administrative data to identify distinct sequences of emergency readmissions among the high-impact users. Methods. A retrospective cohort of all cerebrovascular patients identified through national administrative data and followed for 4 years. Results. Common discriminating subsequences in chronic high-impact users (n=2863) of ischaemic stroke (n=34208) were “urological conditions-chest infection,” “chest infection-urological conditions,” “injury-urological conditions,” “chest infection-ambulatory condition,” and “ambulatory condition-chest infection” (p