Is Discordance Between Recommended and Actual Postacute Discharge Setting a Risk Factor for Readmission in Patients With Congestive Heart Failure?

Background Readmissions in patients with congestive heart failure are common and often preventable. Limited data suggest that patients discharged to a less intensive postacute care setting than recommended are likely to readmit. We examined whether postacute setting discordance (discharge to a less intensive postacute setting than recommended by a physical and occupational therapist) was associated with hospital readmission in patients with congestive heart failure. We also assessed sociodemographic and clinical predictors of setting discordance. Methods and Results Retrospective analysis of administrative claims and electronic health record data was conducted on 25 500 adults with a discharge diagnosis of congestive heart failure from 12 acute care hospitals in Western Pennsylvania. Generalized linear mixed models were estimated to examine the association between postacute setting discordance and 30-day hospital readmission and to identify predictors of setting discordance. The 30-day readmission and postacute setting discordance rates were high (23.7%, 20.6%). While controlling for demographic and clinical covariates, patients in discordant postacute settings were more likely to be readmitted within 30 days (adjusted odds ratio [OR], 1.12; 95% CI, 1.04-1.20). The effect was also seen in the subgroup of patients with low mobility scores (adjusted OR, 1.20; 95% CI, 1.08-1.33). Factors associated with setting discordance were lower-income, higher comorbidity burden, therapist recommendation disagreement, and midrange mobility limitations. Conclusions Postacute setting discordance was associated with an increased readmission risk in patients hospitalized with congestive heart failure. Maximizing concordance between therapist recommended and actual postacute discharge setting may decrease readmissions. Understanding factors associated with post-acute setting discordance can inform strategies to improve the quality of the discharge process.