142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

307278
An examination of 30-day readmissions by demographic groups and hospital characteristics in North Carolina Medicare enrollees

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Tuesday, November 18, 2014

Jenny Hutchison, MBA, BS , College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC
Joshua Noone, PhD , College of Health & Human Services, University of North Carolina at Charlotte, Charlotte, NC
Debosree Roy, MA , College of Health & Human Services, University of North Carolina at Charlotte, Charlotte, NC
Bryce Van Doren, MA, MPA, MPH , College of Health & Human Services, University of North Carolina at Charlotte, Charlotte, NC
Bill Saunders, PhD, MPH , Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC
The Affordable Care Act increased attention on hospital outcomes through the Hospital Readmissions Reduction Program, which will reduce inpatient prospective payments to hospitals with excess readmissions for select conditions. Excessive hospital readmissions are associated with lower patient satisfaction and higher costs. We aim to understand the demographic characteristics of Medicare patients in North Carolina who are re-admitted within 30-days of discharge for acute myocardial infarction (AMI), heart failure (HF), or pneumonia (PN), and variations in readmission rates by region and hospital size.  This study utilizes North Carolina state-level data from the 2010 Hospital Cost and Utilization Project (HCUP).  HCUP data includes a revisit variable that allows for patients to be tracked across hospitals and entry points (i.e., inpatient, emergency department, and ambulatory surgery) as well as establishes time between index event and re-admission.  Frequencies are calculated for demographic variables, including gender, age, presence of co-morbidities, length of initial stay, and readmitting condition. Reflecting the literature in the area, the analyses are stratified by region (Mountains, Coastal and Piedmont) and hospital size determined by the number of beds.  Analysis of variance are conducted to determine if differences exist between the mean readmissions rates by demographic groups within and between the hospital characteristics.  The results of this study enable early identification of patients at highest risk of readmission, by patient demographics and hospital characteristics of AMI, HF, and PN hospital patients.

Learning Areas:

Administration, management, leadership
Provision of health care to the public

Learning Objectives:
Describe characteristics of patients who are re-admitted after 30 days following an hospital admission from acute myocardial infarction, heart failure or pneumonia. Identify patient demographic characteristics and hospital characteristics that increase the likelihood of a 30 day readmissions.

Keyword(s): Health Care Delivery, Affordable Care Act

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to be an abstract author on the content I am responsible for because of my current area of study within a Health Services Research Phd program. In addition, I am part of a larger group that is reviewing NC state inpatient data, headed by Dr. Saunders.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.