Back to Search
Start Over
Do patient safety indicators explain increased weekend mortality?
- Source :
-
The Journal of surgical research [J Surg Res] 2016 Jan; Vol. 200 (1), pp. 164-70. Date of Electronic Publication: 2015 Jul 22. - Publication Year :
- 2016
-
Abstract
- Background: We sought to determine the differential role of patient safety indicator (PSI) events on mortality after weekend as compared with weekday admission.<br />Materials and Methods: We evaluated Agency for Healthcare Research and Quality PSI events within a cohort of patients with nonelective admissions. First, we identified all patients with a PSI based on day of admission (weekend versus weekday). Then, we evaluated the outcome of mortality after each PSI event. Finally, we entered age, sex, race, median household income, payer information, and Charlson comorbidity scores in regression models to develop risk ratios of weekend to weekday PSI events and mortality.<br />Results: There were 28,236,749 patients evaluated with 428,685 (1.5%) experiencing one or more PSI events. The rate of PSI was the same for patients admitted on weekends as compared to weekdays (1.5%). However, the risk of mortality was 7% higher if a PSI event occurred to a patient admitted on a weekend as compared with a weekday. In addition, compared to patients admitted on weekdays, patients admitted on weekends had a 36% higher risk of postoperative wound dehiscence, 19% greater risk of death in a low-mortality diagnostic-related group, 19% increased risk of postoperative hip fracture, and 8% elevated risk of surgical inpatient death.<br />Conclusions: Risk adjusted data reveal that PSI events are substantially higher among patients admitted on weekends. The considerable differences in death after PSI events in patients admitted on weekends as compared with weekdays indicate that responses to adverse events may be less effective on weekends.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Subjects :
- Adult
After-Hours Care statistics & numerical data
Aged
Aged, 80 and over
Databases, Factual
Female
Humans
Logistic Models
Male
Middle Aged
Risk Adjustment
Time Factors
United States
After-Hours Care standards
Hospital Mortality
Patient Safety statistics & numerical data
Quality Indicators, Health Care statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1095-8673
- Volume :
- 200
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- The Journal of surgical research
- Publication Type :
- Academic Journal
- Accession number :
- 26265383
- Full Text :
- https://doi.org/10.1016/j.jss.2015.07.030