CÚRAM Center for Research in Medical Devices, H91 W2TY Galway, Ireland.
Smart Sensor Lab, School of Medicine, National University of Ireland, Galway (NUIG), H91 TK33 Galway, Ireland.
Sensors (Basel). 2020 Sep 3;20(17):5006. doi: 10.3390/s20175006.
Diagnosing and treating acute coronary syndromes consumes a significant fraction of the healthcare budget worldwide. The pressure on resources is expected to increase with the continuing rise of cardiovascular disease, other chronic diseases and extended life expectancy, while expenditure is constrained. The objective of this review is to assess if home-based solutions for measuring chemical cardiac biomarkers can mitigate or reduce the continued rise in the costs of ACS treatment. A systematic review was performed considering published literature in several relevant public databases (i.e., PUBMED, Cochrane, Embase and Scopus) focusing on current biomarker practices in high-risk patients, their cost-effectiveness and the clinical evidence and feasibility of implementation. Out of 26,000 references screened, 86 met the inclusion criteria after independent full-text review. Current clinical evidence highlights that home-based solutions implemented in primary and secondary prevention reduce health care costs by earlier diagnosis, improved patient outcomes and quality of life, as well as by avoidance of unnecessary use of resources. Economical evidence suggests their potential to reduce health care costs if the incremental cost-effectiveness ratio or the willingness-to-pay does not surpass £20,000/QALY or €50,000 limit per 20,000 patients, respectively. The cost-effectiveness of these solutions increases when applied to high-risk patients.
诊断和治疗急性冠状动脉综合征(ACS)消耗了全球医疗保健预算的很大一部分。随着心血管疾病、其他慢性病和预期寿命的延长,资源压力预计将增加,而支出却受到限制。本综述的目的是评估用于测量化学心脏生物标志物的家庭解决方案是否可以减轻或降低 ACS 治疗成本的持续上升。通过对几个相关公共数据库(即 PUBMED、Cochrane、Embase 和 Scopus)中的已发表文献进行系统评价,重点关注高危患者当前的生物标志物实践、其成本效益以及实施的临床证据和可行性。在筛选出的 26,000 篇参考文献中,有 86 篇经过独立的全文审查后符合纳入标准。目前的临床证据强调,在初级和二级预防中实施的家庭解决方案通过早期诊断、改善患者结局和生活质量以及避免不必要的资源使用来降低医疗保健成本。经济证据表明,如果增量成本效益比或支付意愿不超过 20,000 英镑/QALY 或每个 20,000 名患者 50,000 欧元,则具有降低医疗保健成本的潜力。当将这些解决方案应用于高危患者时,其成本效益会增加。