在安哥拉,为预测患者的临床恶化而开发新的早期预警评分达成共识:Delphi研究
Esmael Tomás1,2,3, Ana Escoval1, Maria Lina Antunes2
1Faculty of Medicine of the University Agostinho Neto, Angola-Av. Hoji-Ya-HendaQuintalão do Hospital Américo Boavida, Luanda, Angola.
Critical care research and practice
|October 1, 2024
概括
安哥拉专家确定了新的早期预警分数 (EWS) 的关键生理参数. 这种可适应的工具旨在改善安哥拉等资源有限的环境中的急性疾病评估.
科学领域:
- 医疗保健创新 医疗保健创新
- 临床评估工具 临床评估工具
- 全球健康 全球健康
背景情况:
- 早期预警分数 (EWS) 对于评估急性疾病严重程度至关重要,但对于资源有限的环境缺乏标准化的适应.
- 现有的EWS通常依赖于多个生理参数,优于单参数系统,但最佳方法仍在争论中.
- 安哥拉需要具有成本效益和特定环境的EWS来增强其医疗保健系统中的患者护理.
研究的目的:
- 通过安哥拉医疗保健专家的观点,确定适合融入现有EWS的生理参数.
- 为开发一个针对安哥拉独特的医疗保健环境而定制的新型EWS奠定基础.
- 解决在资源有限的环境中需要适应性和成本效益的患者评估工具的需求.
主要方法:
- 一项为期三轮的德尔菲调查与一个由25名安哥拉医生和护士组成的全国小组进行.
- 参与者使用五分利克尔特尺度评估了包括EWS在内的潜在生理参数.
- 达成共识被定义为从专家小组获得≥80%的同意评分.
主要成果:
- 在包括标准参数方面达成共识:静脉血压,心率,呼吸率,温度,氧和,神经状态和补充氧气使用.
- 专家们一致同意将诸如发作,黄,蓝色炎,毛细血管补充时间和疼痛等附加参数纳入.
- 支持共识,不包括氧和度和温度测量,如果氧计和温度计不可用.
结论:
- 安哥拉专家成功地确定了适应早期预警分数的基本生理参数.
- 该研究强调了针对安哥拉医疗保健环境而定制的新聚合EWS模型的潜力.
- 需要进一步验证,以评估这些建议参数对新模型预测能力的影响.
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