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Understanding Unassisted Falls
- Source :
- Journal of Nursing Care Quality. 27:194-199
- Publication Year :
- 2012
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2012.
-
Abstract
- Hierarchical Poisson modeling was used to explore hospital and nursing unit characteristics as predictors of the unassisted fall rate. Longitudinal data were collected from 1502 units in 248 US hospitals. The relation between the fall rate and total nurse staffing was positive at lower staffing levels and negative for levels around and above the median. The fall rate was negatively associated with registered nurse skill mix and average registered nurse tenure on the unit.
- Subjects :
- medicine.medical_specialty
Nursing staff
Staffing
Nursing Staff, Hospital
Unit (housing)
Patient safety
Nursing
Negatively associated
medicine
Humans
Longitudinal Studies
Poisson Distribution
General Nursing
Quality of Health Care
Models, Statistical
business.industry
Nurse staffing
United States
Skill mix
Nursing Evaluation Research
Family medicine
Workforce
Accidental Falls
Nursing Care
Patient Safety
business
Hospital Units
Subjects
Details
- ISSN :
- 10573631
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Journal of Nursing Care Quality
- Accession number :
- edsair.doi.dedup.....4afaa0be4eb6aee88f4346c107831aac
- Full Text :
- https://doi.org/10.1097/ncq.0b013e318241da2d