Abstract Details
Activity Number:
|
34
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Health Policy Statistics Section
|
Abstract #313344
|
|
Title:
|
Longitudinal Analyses of the Association of Nurse Staffing and Patient Outcomes for U.S. Acute Care Hospitals
|
Author(s):
|
Jianghua He*+ and Vincent Staggs and Sandra Bergquist-Beringer and Nancy Dunton
|
Companies:
|
Kansas University Medical Center and University of Kansas Medical Center and University of Kansas Medical Center and University of Kansas Medical Center
|
Keywords:
|
patient care ;
nursing quality ;
random variations ;
aggregated data
|
Abstract:
|
Most studies in the literature about nurse staffing and patient outcomes have been based on cross-sectional analyses, and the results of these studies are controversial. We extracted quarterly unit-level nursing-related health care data in 2004-2012 from the National Database of Nursing Quality Indicators® (NDNQI®). Unit-level analyses using hierarchical generalized linear modeling did not identify any consistent longitudinal association between nurse staffing variables and nursing-sensitive patient outcomes such as total inpatient falls and hospital acquired pressure ulcers. Further examinations showed that the associations of nurse staffing and patient outcomes at unit-level were not identifiable due to the large variations of staffing variables and patient outcomes at the unit level. Analyses based on aggregated data across hospitals and units found consistent associations of nurse staffing and patient outcomes, both at the overall time trend and seasonality levels. The comparison between the unit-level analyses and aggregated analyses suggests that the aggregation reduced the variation in the staffing and outcome variables so that their associations became detectable.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.