Lerner Nancy B
University of Maryland, School of Nursing, Baltimore, MD, USA.
Health Care Manag (Frederick). 2013 Apr-Jun;32(2):123-8. doi: 10.1097/HCM.0b013e31828ef5f9.
The objective of this data analysis was to explore whether nurse staffing levels and skill mix influenced the number and severity of nursing home deficiencies in Maryland nursing homes. Nursing staff levels and skill mix in relation to quality outcomes in nursing homes have been explored with inconsistent results. Two multiple regression analyses were done to explore factors influencing deficiencies and the severity of the deficiencies found during the annual survey process. The factors influencing the number of deficiencies were the number of nursing home beds (β = .29), nursing assistant hours per patient-day (β = -.206), and the location of the nursing home (β = -.138). The only factor influencing the severity of the deficiencies was RN hours per patient-day (β = -.199). In conclusion, it was determined that RN staffing, although not associated with the number of deficiencies, is associated with deficiency severity.
本次数据分析的目的是探究护士人员配备水平和技能组合是否会影响马里兰州养老院护理缺陷的数量和严重程度。关于养老院护理人员水平和技能组合与质量结果之间的关系,此前的研究结果并不一致。我们进行了两项多元回归分析,以探究在年度调查过程中影响缺陷及所发现缺陷严重程度的因素。影响缺陷数量的因素包括养老院床位数量(β = 0.29)、每位患者每天的护理助理工作时长(β = -0.206)以及养老院的位置(β = -0.138)。影响缺陷严重程度的唯一因素是每位患者每天的注册护士工作时长(β = -0.199)。总之,研究确定,注册护士的人员配备虽然与缺陷数量无关,但与缺陷严重程度相关。