影响可靠和有效的医疗保健相关感染数据的模型。
A model for influences on reliable and valid health care-associated infection data.
机构信息
Faculty of Nursing and Health, Avondale College, Wahroonga, NSW, Australia; School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Canberra, ACT, Australia.
School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Canberra, ACT, Australia; National Centre for Clinical Outcomes Research, Australian Catholic University, Sydney, NSW, Australia.
出版信息
Am J Infect Control. 2014 Feb;42(2):190-2. doi: 10.1016/j.ajic.2013.08.002. Epub 2013 Dec 2.
Reliable surveillance data and continuous monitoring can provide useful information for clinicians and patients alike, by identifying areas needing improvement and demonstrating the effectiveness of interventions. Improving the rigor of health care-associated infection surveillance makes it possible to provide more valid and reliable information. We propose a model that can be used by infection control preventionists, researchers, and health planners and can serve as a trigger for understanding the influences on reliable and valid health care-associated infection data.
可靠的监测数据和持续监测可以为临床医生和患者提供有用的信息，识别需要改进的领域，并展示干预措施的效果。提高医疗保健相关感染监测的严格性可以提供更有效和可靠的信息。我们提出了一个可以被感染控制预防人员、研究人员和卫生规划人员使用的模型，并可以作为理解可靠和有效医疗保健相关感染数据的影响的触发因素。
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