Dong Pang1, Zhaojun Liu2, Lusi Wang1. 1. Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Harbin, 150001, China. 2. Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Harbin, 150001, China. liuzhaojun5512@163.com.
Abstract
BACKGROUND: This study aimed to investigate the effect of nursing aids (NAs) and registered nurses (RNs) mixed nursing staffing model with different ratios on the nursing outcomes and cost in China. METHODS: Five thousand and ninety-one patients treated at Neurology and Neurosurgery Center were consecutively recruited in this study and divided into three groups according to the proportion of NAs and RNs: 100% RN group (N = 1756), 90% RN group (N = 1654), and 75% RN group (N = 1681). Nursing outcomes including medication error, unplanned endotracheal tube extubation, bloodstream infection, respiratory tract infection, urinary tract infection, pressure ulcer, ventilator weaning, morality, hospital stay, and nursing cost were recorded. RESULTS: No difference of patients' characteristics or RNs' characteristics among three groups was observed. Three-group comparison disclosed that medication error, urinary tract infection, ventilator weaning, and nursing cost were different among three groups, while no difference of unplanned endotracheal tube extubation, bloodstream infection, respiratory tract infection, pressure ulcer, mortality, or hospital stay was found. Two-group comparison revealed that medication error and nursing cost were reduced in 75% RN group compared with 90% RN group and 100% RN group, but urinary tract infection was increased while ventilator weaning was decreased in 75% RN group and 90% RN group compared with 100% RN group. Multivariate logistic regression also validated 75% RNs independently correlated with decreased medication error, ventilator weaning, and increased urinary tract infection. CONCLUSIONS: NAs and RNs mixed nursing staffing model with 75% RNs reduces medication error and nursing cost, while increasing urinary tract infection and decreasing ventilator weaning.
BACKGROUND: This study aimed to investigate the effect of nursing aids (NAs) and registered nurses (RNs) mixed nursing staffing model with different ratios on the nursing outcomes and cost in China. METHODS: Five thousand and ninety-one patients treated at Neurology and Neurosurgery Center were consecutively recruited in this study and divided into three groups according to the proportion of NAs and RNs: 100% RN group (N = 1756), 90% RN group (N = 1654), and 75% RN group (N = 1681). Nursing outcomes including medication error, unplanned endotracheal tube extubation, bloodstream infection, respiratory tract infection, urinary tract infection, pressure ulcer, ventilator weaning, morality, hospital stay, and nursing cost were recorded. RESULTS: No difference of patients' characteristics or RNs' characteristics among three groups was observed. Three-group comparison disclosed that medication error, urinary tract infection, ventilator weaning, and nursing cost were different among three groups, while no difference of unplanned endotracheal tube extubation, bloodstream infection, respiratory tract infection, pressure ulcer, mortality, or hospital stay was found. Two-group comparison revealed that medication error and nursing cost were reduced in 75% RN group compared with 90% RN group and 100% RN group, but urinary tract infection was increased while ventilator weaning was decreased in 75% RN group and 90% RN group compared with 100% RN group. Multivariate logistic regression also validated 75% RNs independently correlated with decreased medication error, ventilator weaning, and increased urinary tract infection. CONCLUSIONS: NAs and RNs mixed nursing staffing model with 75% RNs reduces medication error and nursing cost, while increasing urinary tract infection and decreasing ventilator weaning.
Authors: Patricia W Stone; Cathy Mooney-Kane; Elaine L Larson; Teresa Horan; Laurent G Glance; Jack Zwanziger; Andrew W Dick Journal: Med Care Date: 2007-06 Impact factor: 2.983