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- Denny Fe G Agana, Catherine W Striley, Robert L Cook, Yenisel Cruz-Almeida, Peter J Carek, and Jason L Salemi.
- H. James Free MD, Center for Primary Care Education & Innovation, Gainesville, FL, 32610, USA. DennyFe.Agana@bcm.edu.
- J Gen Intern Med. 2020 Apr 1; 35 (4): 1060-1068.
BackgroundLittle is known about the frequency, patterns, and determinants of readmissions among patients initially hospitalized for an ambulatory care-sensitive condition (ACSC). The degree to which hospitalizations in close temporal proximity cluster has also not been studied. Readmission patterns involving clustering likely reflect different underlying determinants than the same number of readmissions more evenly spaced.ObjectiveTo characterize readmission rates, patterns, and predictors among patients initially hospitalized with an ACSC.DesignRetrospective analysis of the 2010-2014 Nationwide Readmissions Database.ParticipantsNon-pregnant patients aged 18-64 years old during initial ACSC hospitalization and who were discharged alive (N = 5,007,820).Main MeasuresFrequency and pattern of 30-day all-cause readmissions, grouped as 0, 1, 2+ non-clustered, and 2+ clustered readmissions.Key ResultsApproximately 14% of patients had 1 readmission, 2.4% had 2+ non-clustered readmissions, and 3.3% patients had 2+ clustered readmissions during the 270-day follow-up. A higher Elixhauser Comorbidity Index was associated with increased risk for all readmission groups, namely with adjusted odds ratios (AORs) ranging from 1.12 to 3.34. Compared to patients aged 80 years and older, those in younger age groups had increased risk of 2+ non-clustered and 2+ clustered readmissions (AOR range 1.27-2.49). Patients with chronic versus acute ACSCs had an increased odds ratio of all readmission groups compared to those with 0 readmissions (AOR range 1.37-2.69).ConclusionsAmong patients with 2+ 30-day readmissions, factors were differentially distributed between clustered and non-clustered readmissions. Identifying factors that could predict future readmission patterns can inform primary care in the prevention of readmissions following ACSC-related hospitalizations.
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