Related Experiment Video
Updated: Mar 6, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Hospital Characteristics Associated With Risk-standardized Readmission Rates
Leora I Horwitz1, Susannah M Bernheim, Joseph S Ross
1*Department of Population Health, Division of Healthcare Delivery Science, New York University School of Medicine †Center for Healthcare Innovation and Delivery Science, New York University Langone Medical Center ‡Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University School of Medicine, New York, NY §Center for Outcomes Research and Evaluation, Yale New Haven Health ∥Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine ¶Department of Medicine, Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine #Department of Health Policy and Management, Yale School of Public Health **Department of Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT ††Health Research and Educational Trust, Chicago, IL ‡‡Department of Pediatrics, Yale School of Medicine, New Haven, CT.
Background:
Safety-net and teaching hospitals are somewhat more likely to be penalized for excess readmissions, but the association of other hospital characteristics with readmission rates is uncertain and may have relevance for hospital-centered interventions.
Objective:
To examine the independent association of 8 hospital characteristics with hospital-wide 30-day risk-standardized readmission rate (RSRR).
Design:
This is a retrospective cross-sectional multivariable analysis.
Subjects:
US hospitals.
Measures:
Centers for Medicare and Medicaid Services specification of hospital-wide RSRR from July 1, 2013 through June 30, 2014 with race and Medicaid dual-eligibility added.
Results:
We included 6,789,839 admissions to 4474 hospitals of Medicare fee-for-service beneficiaries aged over 64 years. In multivariable analyses, there was regional variation: hospitals in the mid-Atlantic region had the highest RSRRs [0.98 percentage points higher than hospitals in the Mountain region; 95% confidence interval (CI), 0.84-1.12]. For-profit hospitals had an average RSRR 0.38 percentage points (95% CI, 0.24-0.53) higher than public hospitals. Both urban and rural hospitals had higher RSRRs than those in medium metropolitan areas. Hospitals without advanced cardiac surgery capability had an average RSRR 0.27 percentage points (95% CI, 0.18-0.36) higher than those with. The ratio of registered nurses per hospital bed was not associated with RSRR. Variability in RSRRs among hospitals of similar type was much larger than aggregate differences between types of hospitals.
Conclusions:
Overall, larger, urban, academic facilities had modestly higher RSRRs than smaller, suburban, community hospitals, although there was a wide range of performance. The strong regional effect suggests that local practice patterns are an important influence. Disproportionately high readmission rates at for-profit hospitals may highlight the role of financial incentives favoring utilization.
Related Concept Videos
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Hospitals-II
Nurses that work in...
Hospitals-I
Specialized Care Centers and Settings-II
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
Pneumonia I: Introduction
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
