The Role of Process Improvements in Reducing Heart Failure Readmissions
Author(s) -
Dong
Publication year - 2020
Publication title -
journal of clinical outcomes management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 19
eISSN - 1938-1336
pISSN - 1079-6533
DOI - 10.12788/jcom.0018
Subject(s) - medicine , heart failure , process (computing) , intensive care medicine , medical emergency , risk analysis (engineering) , process management , engineering , computer science , operating system
The growing population of patients affected by heart failure continues to challenge health systems. The increasing prevalence is paralleled by the rising costs of managing heart failure, which are projected to grow from $30.7 billion in 2012 to $69.8 billion in 2030.1 A significant portion of these costs relate to readmission after an index heart failure hospitalization. The statistics are staggering: for patients hospitalized with heart failure, approximately 15% to 20% are readmitted within 30 days.2,3 Though recent temporal trends suggest a modest reduction in readmission rates, there is a concerning correlation with increasing mortality,3 and a recognition that readmission rate decreases may relate to subtle changes in coding-based risk adjustment.4 Despite these concerns, efforts to reduce readmissions after heart failure hospitalization command significant attention. Process improvement methodologies may be helpful in reducing hospital readmissions. Various approaches have been employed, and results have been mixed. An analysis of 70 participating hospitals in the American Heart Association’s Get With the Guidelines initiative found that, while overall readmission rates declined by 1.0% over 3 years, only 1 hospital achieved a 20% reduction in readmission rates.5 It is notably difficult to reduce readmissions after heart failure hospitalization. One challenge is that patients with heart failure often have multiple comorbidities, and approximately 50% to 60% of 30-day readmissions after heart failure hospitalization arise from noncardiac causes.1 Another challenge is that a significant fraction of readmissions in general—perhaps 75%—may not be avoidable.6 Recent excellent systematic reviews and metaanalyses provide comprehensive overviews of process improvement strategies that can be used to reduce readmissions after heart failure hospitalizations.7-9 Yet despite this extensive knowledge, few reports discuss the process of actually implementing these changes: the process of process improvement. Here, we seek to not only highlight some of the most promising potential interventions to reduce heart failure readmissions, but also to discuss a process improvement framework to help engender success, using our experience as
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom