目的:开发一种通用且国际适用的数据变量模板,用于报告医院间新生儿重症监护转运。
方法:五步德尔菲法。
方法:通过电子邮件指导一组专家通过正式的共识过程。
方法:来自加拿大的12名新生儿重症监护运输专家,丹麦,挪威,英国和美国。四个女人和八个男人。专家是新生儿学家,麻醉师,重症监护护士,麻醉护士,医疗领导人,研究人员和家长代表。
方法:最终模板中包含了37个数据变量。
结果:在具有定义的37个数据变量的模板上达成了共识。每个运输要注册的30个变量和运输服务系统每年注册的7个变量。类别结构下的11个数据变量,20项在进程中,6项在结果中。
结论:我们开发了一个带有一组数据变量的模板,用于新生儿重症监护运输。注册相同的数据将启用更大的数据集和比较服务。
OBJECTIVE: To develop a general and internationally applicable template of data variables for reporting interhospital neonatal intensive care transports.
METHODS: A five-step Delphi method.
METHODS: A group of experts was guided through a formal consensus process using email.
METHODS: 12 experts in neonatal intensive care transports from Canada, Denmark, Norway, the UK and the USA. Four women and eight men. The experts were
neonatologists, anaesthesiologists, intensive care nurse, anaesthetic nurse, medical leaders, researchers and a parent representative.
METHODS: 37 data variables were included in the final template.
RESULTS: Consensus was achieved on a template of 37 data variables with definitions. 30 variables to be registered for each transport and 7 for annual registration of the system of the transport service. 11 data variables under the category structure, 20 under process and 6 under outcome.
CONCLUSIONS: We developed a template with a set of data variables to be registered for neonatal intensive care transports. To register the same data will enable larger datasets and comparing services.