Original Article

Feedback on Bounce Backs: Real-Time Notification of Readmissions and the Impact on Readmission Rates and Physician Perceptions

Authors: E. Allen Liles, MD, Carlton R. Moore, MD, MS, Jacob Stein, MPH

Abstract

Objectives: Readmissions are an increasing area of focus for quality improvement initiatives. Widely variable estimates exist on preventability and impact of multipronged readmission interventions. Given the rotating nature of attending physicians in academic centers, physicians often are unaware of readmissions. We present a before-and-after (uncontrolled) trial evaluating timely feedback of readmissions to hospitalist physicians.

Methods: A daily list of patients (inpatient, observation, procedure, or emergency department) who are registered as receiving care within University of North Carolina hospitals was filtered to include only inpatients within the last 30 days and cared for by a faculty member from the hospital medicine program, and readmissions were tracked. A hospitalist physician performed an in-depth review of readmissions using a readmission diagnostic worksheet developed by the Institute for Healthcare Improvement STate Action on Avoidable Rehospitalizations Initiative. Physicians were surveyed on their perception of readmissions in general and their preventability. Outcomes of interest were 30-day readmission rates, physician perspectives and estimates of preventability, patient factors from the STate Action on Avoidable Rehospitalizations tool, and length of stay.

Results: Compared with the previous 18 months, the readmission rate was reduced modestly during the 6 months of our intervention (12% to 10%, t test + 0.071). The average length of stay increased from 4.73 days during the prior 18 months to 5.01 for the 4 months since the intervention ( t test 0.1). Based on the attending physician survey, 13% of attending physicians believed that fewer than 10% of readmissions were preventable; this increased to 30% after 6 months of timely notification and chart reviews. At baseline, the top three contributors to readmissions were believed to be patient understanding, medication nonadherence, and substance abuse/addiction. After 6 months of the intervention, the top three contributors were believed to be substance abuse/addiction, medication nonadherence, and lack of primary care.

Conclusions: Our intervention of real-time feedback regarding readmissions and enforced chart review led to a modest reduction in readmission rates without significant changes in length of stay. Physicians continued to believe that a readmission event was multifactorial and largely not preventable. Real-time notification did increase physician involvement in prevention initiatives, in particular with high-use patients.

This content is limited to qualifying members.

Existing members, please login first

If you have an existing account please login now to access this article or view purchase options.

Purchase only this article ($25)

Create a free account, then purchase this article to download or access it online for 24 hours.

Purchase an SMJ online subscription ($75)

Create a free account, then purchase a subscription to get complete access to all articles for a full year.

Purchase a membership plan (fees vary)

Premium members can access all articles plus recieve many more benefits. View all membership plans and benefit packages.

References

1. Kossovsky MP, Sarasin FP, Perneger TV, et al. Unplanned readmissions of patients with congestive heart failure: do they reflect in-hospital quality of care or patient characteristics? Am J Med 2000;109:386-390.
 
2. Krumholz HM. Post-hospital syndrome--an acquired, transient condition of generalized risk. N Engl J Med 2013;368:100-102.
 
3. Retrum JH, Boggs J, Hersh A, et al. Patient-identified factors related to heart failure readmissions. Circ Cardiovasc Qual Outcomes 2013;6:171-177.
 
4. Provost LP, Murray SK. The Health Care Data Guide--Learning from Data for Improvement Vol 1. San Francisco: Jossey-Bass, 2011.
 
5. van Walraven C,B ennettC, Jennings A, et al. Proportion of hospital readmissions deemed avoidable: a systematic review. CMAJ 2011;183:E391-E402.
 
6. Koekkoek D, Bayley KB, Brown A, et al. Hospitalists assess the causes of early hospital readmissions. J Hosp Med 2011;6:383-388.
 
7. Oddone EZ, Weinberger M, Horner M, et al. Classifying general medicine readmissions. Are they preventable? Veterans Affairs Cooperative Studies in Health Services Group on Primary Care and Hospital Readmissions. J Gen Intern Med 1996;11:597-607.
 
8. Lavenberg JG, Leas B, Umscheid CA, et al. Assessing preventability in the quest to reduce hospital readmissions. J Hosp Med 2014;9:598-603.