Staggs Vincent S, Knight Jeff E, Dunton Nancy
Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
J Nurs Care Qual. 2012 Jul-Sep;27(3):194-9. doi: 10.1097/NCQ.0b013e318241da2d.
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.
采用分层泊松模型来探究医院和护理单元的特征，以此作为非协助跌倒率的预测指标。从美国248家医院的1502个护理单元收集了纵向数据。跌倒率与护士总配备水平在较低配备水平时呈正相关，而在中位数及以上水平时呈负相关。跌倒率与注册护士技能组合以及护理单元上注册护士的平均任期呈负相关。
