Alex Bottle1, Rosalind Goudie1, Martin R Cowie2, Derek Bell3, Paul Aylin1. 1. Dr Foster Unit, Imperial College, London, UK. 2. National Heart and Lung Institute, Imperial College London (Royal Brompton Hospital), London, UK. 3. Chelsea and Westminster Hospital, Imperial College London, London, UK.
Abstract
OBJECTIVES: To explore the relations between cause-specific readmission rates and National Heart Failure Audit process of care measures in patients admitted for heart failure (HF). METHODS: Using admissions data for all acute hospitals in England for April 2009-March 2012, we defined an index admission as the first emergency admission with a primary diagnosis of HF for at least three years. We compared risk-adjusted readmission rates for HF and for all non-HF diagnoses combined, risk-adjusted in-hospital mortality rates and performance on six Audit process measures. RESULTS: 14.7% of 123,644 patients died during the index admission. Of 105,441 index live discharges, 6853 (6.5%) were readmitted as emergencies within 7 days and 20,144 (19.1%) within 30 days. Index admission mortality rates correlated positively but weakly with non-HF readmission rates but not at all with HF rates. There was modest positive correlation at 7 days between HF and non-HF readmission rates (r=+0.24) but no significant relation at 30 or 365 days. All six process measures (prescribing of ACE inhibitors and beta-blockers, echocardiogram, cardiology inpatient and follow-up by cardiologist and HF liaison) correlated modestly but significantly with lower HF readmission rates at 7 days (r at most -0.26), only three did at 30 days and only cardiology follow-up did for non-HF at either 7 or 30 days; all associations were diminished at 365 days. CONCLUSIONS: Hospitals scoring higher on evidence-based HF process measures had lower readmission rates, though the association seems limited to HF readmissions and is modest in strength and duration. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
OBJECTIVES: To explore the relations between cause-specific readmission rates and National Heart Failure Audit process of care measures in patients admitted for heart failure (HF). METHODS: Using admissions data for all acute hospitals in England for April 2009-March 2012, we defined an index admission as the first emergency admission with a primary diagnosis of HF for at least three years. We compared risk-adjusted readmission rates for HF and for all non-HF diagnoses combined, risk-adjusted in-hospital mortality rates and performance on six Audit process measures. RESULTS: 14.7% of 123,644 patients died during the index admission. Of 105,441 index live discharges, 6853 (6.5%) were readmitted as emergencies within 7 days and 20,144 (19.1%) within 30 days. Index admission mortality rates correlated positively but weakly with non-HF readmission rates but not at all with HF rates. There was modest positive correlation at 7 days between HF and non-HF readmission rates (r=+0.24) but no significant relation at 30 or 365 days. All six process measures (prescribing of ACE inhibitors and beta-blockers, echocardiogram, cardiology inpatient and follow-up by cardiologist and HF liaison) correlated modestly but significantly with lower HF readmission rates at 7 days (r at most -0.26), only three did at 30 days and only cardiology follow-up did for non-HF at either 7 or 30 days; all associations were diminished at 365 days. CONCLUSIONS: Hospitals scoring higher on evidence-based HF process measures had lower readmission rates, though the association seems limited to HF readmissions and is modest in strength and duration. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Authors: Claudia Fischer; Hester F Lingsma; Helen A Anema; Job Kievit; Ewout W Steyerberg; Niek Klazinga Journal: BMC Health Serv Res Date: 2016-10-05 Impact factor: 2.655