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探索一种用于识别足月监护分娩期间胎儿窘迫的新型计算机决策支持工具的潜在成本效益:早期健康经济模型

Exploring the potential cost-effectiveness of a new computerised decision support tool for identifying fetal compromise during monitored term labours: an early health economic model.

作者信息

Campbell H E, Ratushnyak S, Georgieva A, Impey L, Rivero-Arias O

机构信息

National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Oxford Labour Monitoring Group, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.

出版信息

Cost Eff Resour Alloc. 2024 Oct 7;22(1):72. doi: 10.1186/s12962-024-00580-x.

Abstract

BACKGROUND

Around 60% of term labours in the UK are continuously monitored using cardiotocography (CTG) to guide clinical labour management. Interpreting the CTG trace is challenging, leading to some babies suffering adverse outcomes and others unnecessary expedited deliveries. A new data driven computerised tool combining multiple clinical risk factors with CTG data (attentive CTG) was developed to help identify term babies at risk of severe compromise during labour. This paper presents an early health economic model exploring its potential cost-effectiveness.

METHODS

The model compared attentive CTG and usual care with usual care alone and simulated clinical events, healthcare costs, and infant quality-adjusted life years over 18 years. It was populated using data from a cohort of term pregnancies, the literature, and administrative datasets. Attentive CTG effectiveness was projected through improved monitoring sensitivity/specificity and potential reductions in numbers of severely compromised infants. Scenario analyses explored the impact of including litigation costs.

RESULTS

Nationally, attentive CTG could potentially avoid 10,000 unnecessary alerts in labour and 2400 emergency C-section deliveries through improved specificity. A reduction of 21 intrapartum stillbirths amongst severely compromised infants was also predicted with improved sensitivity. Attentive CTG could potentially lead to cost savings and health gains with a probability of being cost-effective at £25,000 per QALY ranging from 70 to 95%. Potential exists for further cost savings if litigation costs are included.

CONCLUSIONS

Attentive CTG could offer a cost-effective use of healthcare resources. Prospective patient-level studies are needed to formally evaluate its effectiveness and economic impact in routine clinical practice.

摘要

背景

在英国,约60%的足月分娩会使用胎心监护(CTG)进行持续监测,以指导临床分娩管理。解读CTG曲线具有挑战性,导致一些婴儿出现不良结局,另一些则经历了不必要的加急分娩。一种新的数据驱动计算机化工具将多种临床风险因素与CTG数据相结合(智能CTG),旨在帮助识别分娩期间有严重不良情况风险的足月婴儿。本文提出了一个早期健康经济模型,探讨其潜在的成本效益。

方法

该模型将智能CTG和常规护理与单纯常规护理进行比较,并模拟了18年内的临床事件、医疗成本和婴儿质量调整生命年。它使用来自一组足月妊娠的数据、文献和行政数据集进行填充。通过提高监测敏感性/特异性以及潜在减少严重不良婴儿数量来预测智能CTG的有效性。情景分析探讨了纳入诉讼成本的影响。

结果

在全国范围内,智能CTG通过提高特异性,有可能避免10000次分娩时不必要的警报和2400次紧急剖宫产。预计随着敏感性的提高,严重不良婴儿的21例产时死产也会减少。智能CTG有可能带来成本节约和健康收益,每质量调整生命年成本效益为25000英镑的概率在70%至95%之间。如果纳入诉讼成本,还有进一步节约成本的潜力。

结论

智能CTG可以实现医疗资源的成本效益利用。需要进行前瞻性患者层面的研究,以正式评估其在常规临床实践中的有效性和经济影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbe7/11460220/8bcfbb81b927/12962_2024_580_Fig1_HTML.jpg

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