Norwegian Air Ambulance Foundation, Oslo, Norway
Faculty of Medicine, University of Oslo, Oslo, Norway.
BMJ Paediatr Open. 2024 Apr 2;8(1):e002374. doi: 10.1136/bmjpo-2023-002374.
To develop a general and internationally applicable template of data variables for reporting interhospital neonatal intensive care transports.
A five-step Delphi method.
A group of experts was guided through a formal consensus process using email.
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.
37 data variables were included in the final template.
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.
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.
制定一个用于报告医院间新生儿重症监护转运的通用且适用于国际的数据集变量模板。
五步骤德尔菲法。
一组专家通过电子邮件指导进行正式的共识过程。
来自加拿大、丹麦、挪威、英国和美国的 12 名新生儿重症监护转运专家。4 名女性和 8 名男性。专家包括新生儿科医生、麻醉师、重症监护护士、麻醉护士、医疗领导、研究人员和家长代表。
最终模板中包含 37 个数据变量。
达成了一个包含 37 个具有定义的数据变量的模板共识。每个转运需要登记 30 个变量,每年登记转运服务系统的 7 个变量。11 个数据变量属于结构类别,20 个属于过程类别,6 个属于结果类别。
我们制定了一个包含用于新生儿重症监护转运的数据集变量的模板。注册相同的数据将能够建立更大的数据集,并比较服务。