Stassen Willem, Larsson Eric, Wood Courtney, Kurland Lisa
Department of Emergency Medical Care, University of Johannesburg, South Africa.
Division of Emergency Medicine, F51-62, Old Main Building Groote Schuur Hospital, University of Cape Town, Observatory, South Africa, 7925.
Afr J Emerg Med. 2020 Jun;10(2):64-67. doi: 10.1016/j.afjem.2020.01.002. Epub 2020 Feb 5.
Sepsis is an acute, life-threatening condition caused by a dysregulated systemic response to infection. Early medical intervention such as antibiotics and fluid resuscitation can be life-saving. Diagnosis or suspicion of sepsis by an emergency call-taker could potentially improve patient outcome. Therefore, the aim was to determine the keywords used by callers to describe septic patients in South Africa when calling a national private emergency dispatch centre.
A retrospective review of prehospital patient records was completed to identify patients with sepsis in the prehospital environment. A mixed-methods design was employed in two-sequential phases. The first phase was qualitative. Thirty cases of sepsis were randomly selected, and the original call recording was extracted. These recordings were transcribed verbatim and subjected to content analysis to determine keywords of signs and symptoms telephonically. Once keywords were identified, an additional sample of sepsis cases that met inclusion and exclusion criteria were extracted and listened to. The frequency of each of the keywords was quantified.
Eleven distinct categories were identified. The most prevalent categories that were used to describe sepsis telephonically were: gastrointestinal symptoms (40%), acute altered mental status (35%), weakness of the legs (33%) and malaise (31%). At least one of these four categories of keywords appeared in 86% of all call recordings.
It was found that certain categories appeared in higher frequencies than others so that a pattern could be recognised. Utilising these categories, telephonic recognition algorithms for sepsis could be developed to aid in predicting sepsis over the phone. This would allow for dispatching of the correct level of care immediately and could subsequently have positive effects on patient outcome.
脓毒症是一种由对感染的系统性反应失调引起的急性、危及生命的病症。早期的医学干预措施,如使用抗生素和进行液体复苏,可能会挽救生命。急救接听员对脓毒症的诊断或怀疑可能会改善患者的预后。因此,本研究旨在确定南非呼叫者在拨打全国性私人紧急调度中心电话时用于描述脓毒症患者的关键词。
对院前患者记录进行回顾性分析,以识别院前环境中的脓毒症患者。采用两阶段的混合方法设计。第一阶段是定性研究。随机选择30例脓毒症病例,并提取原始通话记录。这些记录逐字转录并进行内容分析,以确定电话中描述体征和症状的关键词。一旦确定了关键词,就提取并听取另外一组符合纳入和排除标准的脓毒症病例样本。对每个关键词的出现频率进行量化。
确定了11个不同的类别。在电话中用于描述脓毒症的最常见类别是:胃肠道症状(40%)、急性精神状态改变(35%)、腿部无力(33%)和不适(31%)。在所有通话记录中,86%至少出现了这四类关键词中的一类。
研究发现某些类别出现的频率高于其他类别,从而可以识别出一种模式。利用这些类别,可以开发用于脓毒症的电话识别算法,以帮助通过电话预测脓毒症。这将允许立即派遣适当级别的护理,并可能随后对患者的预后产生积极影响。