Jim Briggs, Ina Kostakis, Paul Meredith, Chiara Dall'ora, Julie Darbyshire, Stephen Gerry, Peter Griffiths, Jo Hope, Jeremy Jones, Caroline Kovacs, Rob Lawrence, David Prytherch, Peter Watkinson, Oliver Redfern
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The challenge is finding the balance between insufficient monitoring (risking missing early signs of deterioration and delays in treatment) and over-observation of stable patients (wasting resources needed in other aspects of care).</p><p><strong>Objective: </strong>Provide an evidence-based approach to creating monitoring protocols based on a patient's risk of deterioration and link these to nursing workload and economic impact.</p><p><strong>Design: </strong>Our study consisted of two parts: (1) an observational study of nursing staff to ascertain the time to perform vital sign observations; and (2) a retrospective study of historic data on patient admissions exploring the relationships between National Early Warning Score and risk of outcome over time. These were underpinned by opinions and experiences from stakeholders.</p><p><strong>Setting and participants: </strong>Observational study: observed nursing staff on 16 randomly selected adult general wards at four acute National Health Service hospitals. Retrospective study: extracted, linked and analysed routinely collected data from two large National Health Service acute trusts; data from over 400,000 patient admissions and 9,000,000 vital sign observations.</p><p><strong>Results: </strong>Observational study found a variety of practices, with two hospitals having registered nurses take the majority of vital sign observations and two favouring healthcare assistants or student nurses. However, whoever took the observations spent roughly the same length of time. The average was 5:01 minutes per observation over a 'round', including time to locate and prepare the equipment and travel to the patient area. Retrospective study created survival models predicting the risk of outcomes over time since the patient was last observed. For low-risk patients, there was little difference in risk between 4 hours and 24 hours post observation.</p><p><strong>Conclusions: </strong>We explored several different scenarios with our stakeholders (clinicians and patients), based on how 'risk' could be managed in different ways. Vital sign observations are often done more frequently than necessary from a bald assessment of the patient's risk, and we show that a maximum threshold of risk could theoretically be achieved with less resource. Existing resources could therefore be redeployed within a changed protocol to achieve better outcomes for some patients without compromising the safety of the rest. Our work supports the approach of the current monitoring protocol, whereby patients' National Early Warning Score 2 guides observation frequency. 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引用次数: 0
摘要
背景:目前尚不清楚在医院病房中测量病人生命体征(如血压、脉搏、血氧饱和度)的频率。目前国家卫生服务机构的监测方案是基于专家意见,但几乎没有经验证据支持。我们面临的挑战是如何在监测不足(有可能错过病情恶化的早期征兆并延误治疗)和过度观察病情稳定的病人(浪费其他方面护理所需的资源)之间找到平衡点:提供一种循证方法,根据患者病情恶化的风险制定监测方案,并将这些方案与护理工作量和经济影响联系起来:我们的研究包括两部分:(1) 对护理人员进行观察研究,以确定进行生命体征观察的时间;(2) 对患者入院的历史数据进行回顾性研究,以探索国家预警评分与随时间推移的预后风险之间的关系。这些研究以利益相关者的意见和经验为基础:观察性研究:对四家国民健康服务急症医院中随机抽取的 16 个成人普通病房的护理人员进行观察。回顾性研究:提取、链接和分析从两家大型国民健康服务急症信托机构收集的常规数据;数据来自 400,000 多例病人入院和 9,000,000 次生命体征观察:观察研究发现了各种不同的做法,其中两家医院由注册护士负责大部分的生命体征观察,另外两家医院则倾向于由医护助理或学生护士负责。不过,无论谁进行观察,所花的时间都大致相同。一轮 "观察下来,每次观察平均耗时 5:01 分钟,其中包括寻找和准备设备以及前往病区的时间。回顾性研究建立了生存模型,预测自上次观察病人以来一段时间内的结果风险。对于低风险患者,观察后 4 小时和 24 小时内的风险差别不大:我们与利益相关者(临床医生和患者)探讨了几种不同的方案,这些方案的基础是如何以不同的方式管理 "风险"。根据对患者风险的直观评估,生命体征观察的频率往往超过必要的频率,而我们的研究表明,理论上可以用更少的资源达到最大的风险阈值。因此,现有的资源可以在更改的方案中进行重新调配,从而在不影响其他患者安全的情况下为部分患者带来更好的治疗效果。我们的工作支持现行监测方案的方法,即根据患者的全国预警评分 2 来确定观察频率。现行做法是对高风险患者进行更频繁的观察,而我们的研究结果表明,这种做法在客观上是合理的。值得注意的是,在生命体征监测过程中,护士与患者之间会进行重要的互动,在新的监测流程中不应取消这种互动。我们的研究为如何安排生命体征观察的现有证据做出了贡献。不过,最终应由相关专业人员决定如何使用我们的研究成果:本研究的注册号为 ISRCTN10863045:本奖项由英国国家健康与护理研究所(NIHR)的健康与社会护理服务研究项目(NIHR奖项编号:17/05/03)资助,全文发表于《健康与社会护理服务研究》(Health and Social Care Delivery Research)第12卷第6期。更多获奖信息,请参阅 NIHR Funding and Awards 网站。
Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study.
Background: The frequency at which patients should have their vital signs (e.g. blood pressure, pulse, oxygen saturation) measured on hospital wards is currently unknown. Current National Health Service monitoring protocols are based on expert opinion but supported by little empirical evidence. The challenge is finding the balance between insufficient monitoring (risking missing early signs of deterioration and delays in treatment) and over-observation of stable patients (wasting resources needed in other aspects of care).
Objective: Provide an evidence-based approach to creating monitoring protocols based on a patient's risk of deterioration and link these to nursing workload and economic impact.
Design: Our study consisted of two parts: (1) an observational study of nursing staff to ascertain the time to perform vital sign observations; and (2) a retrospective study of historic data on patient admissions exploring the relationships between National Early Warning Score and risk of outcome over time. These were underpinned by opinions and experiences from stakeholders.
Setting and participants: Observational study: observed nursing staff on 16 randomly selected adult general wards at four acute National Health Service hospitals. Retrospective study: extracted, linked and analysed routinely collected data from two large National Health Service acute trusts; data from over 400,000 patient admissions and 9,000,000 vital sign observations.
Results: Observational study found a variety of practices, with two hospitals having registered nurses take the majority of vital sign observations and two favouring healthcare assistants or student nurses. However, whoever took the observations spent roughly the same length of time. The average was 5:01 minutes per observation over a 'round', including time to locate and prepare the equipment and travel to the patient area. Retrospective study created survival models predicting the risk of outcomes over time since the patient was last observed. For low-risk patients, there was little difference in risk between 4 hours and 24 hours post observation.
Conclusions: We explored several different scenarios with our stakeholders (clinicians and patients), based on how 'risk' could be managed in different ways. Vital sign observations are often done more frequently than necessary from a bald assessment of the patient's risk, and we show that a maximum threshold of risk could theoretically be achieved with less resource. Existing resources could therefore be redeployed within a changed protocol to achieve better outcomes for some patients without compromising the safety of the rest. Our work supports the approach of the current monitoring protocol, whereby patients' National Early Warning Score 2 guides observation frequency. Existing practice is to observe higher-risk patients more frequently and our findings have shown that this is objectively justified. It is worth noting that important nurse-patient interactions take place during vital sign monitoring and should not be eliminated under new monitoring processes. Our study contributes to the existing evidence on how vital sign observations should be scheduled. However, ultimately, it is for the relevant professionals to decide how our work should be used.
Study registration: This study is registered as ISRCTN10863045.
Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/03) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 6. See the NIHR Funding and Awards website for further award information.