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首页> 外文期刊>Journal of nursing management >Nurse staffing levels and nursing outcomes: a Bayesian analysis of Finnish-registered nurse survey data.
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Nurse staffing levels and nursing outcomes: a Bayesian analysis of Finnish-registered nurse survey data.

机译:护士人员配备水平和护理结果:芬兰注册护士调查数据的贝叶斯分析。

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AIM: The aim of the present study was to assess the relationship between patient-to-registered nurse (RN) ratios and nursing outcomes: job satisfaction and stress, nursing care quality, control of own practise, intent to leave, adequacy of material resources and attitudes towards technical equipment. BACKGROUND: Although there is a growing body of evidence showing that higher levels of RN staffing are linked to better outcomes, it still is unclear how nurse staffing produces these effects. METHOD: A survey of data of RNs (n = 854) in 46 inpatient units at five university hospitals in Finland was used to create a Bayesian network (BN) model of connections between the variables. RESULTS: A BN model constructed showed that the quality of nursing care is influenced by multifaceted work environment measures. RNs' possibility to control their own practice and the quality of care are mediation between patient-to-RN ratio and other variables examined. CONCLUSIONS: New insight was given to the complex theme of the nursing practice environment and its connections to nursing outcomes. IMPLICATIONS FOR NURSING MANAGEMENT: Work environment should be developed with consideration of many factors, including adequate staffing levels and the ability for nurses to control their own work. This could increase nurses' work satisfaction, retention and patient care quality outcomes.
机译:目的:本研究的目的是评估患者与注册护士(RN)的比率与护理结果之间的关系:工作满意度和压力,护理质量,对自己的执业控制,离开的意愿,物质资源的充足性和对技术设备的态度。背景:尽管越来越多的证据表明,RN配备的增加与更好的结局有关,但仍不清楚护士配备如何产生这些效果。方法:对芬兰五所大学医院46个住院单元的RNs(n = 854)数据进行调查,以创建变量之间联系的贝叶斯网络(BN)模型。结果:建立的BN模型表明护理质量受到多方面工作环境措施的影响。 RN控制自己的实践和护理质量的可能性是患者与RN的比率与其他检查变量之间的中介。结论:对护理实践环境的复杂主题及其与护理效果的联系有了新的认识。护理管理的意义:在开发工作环境时应考虑许多因素,包括足够的人员配备水平和护士控制自己工作的能力。这可以提高护士的工作满意度,保留率和患者护理质量。

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