School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria, 3004, Australia.
Monash Health, Melbourne, Victoria, Australia.
Syst Rev. 2020 Aug 3;9(1):171. doi: 10.1186/s13643-020-01373-y.
With the rapid development of technologies for type 1 diabetes, economic evaluations are integral in guiding cost-effective clinical and policy decisions. We therefore aimed to review and synthesise the current economic literature for available diabetes management technologies and outline key determinants of cost-effectiveness.
A systematic search was conducted in April 2019 that focused on modelling or trial based economic evaluations. Searched databases included Medline, Medline in-process and other non-indexed citations, EMBASE, PubMed, All Evidenced Based Medicine Reviews, EconLit, Cost-effectiveness analysis Registry, Research Papers in Economics, Web of Science, PsycInfo, CINAHL, and PROSPERO from inception. We assessed quality of included studies with the Questionnaire to Assess Relevance and Credibility of Modeling Studies for Informing Health Care Decision Making an ISPOR-AMCP-NPC good practice task force report. Screening of abstracts and full-texts, appraisal, and extraction were performed by two independent researches.
We identified 16,772 publications, of which 35 were analysed and included 11 health technologies. Despite a lack of consensus, most studies reported that insulin pumps (56%) or interstitial glucose sensors (62%) were cost-effective, although incremental cost-effectiveness ratios ranged widely ($14,266-$2,997,832 USD). Cost-effectiveness for combined insulin pumps and glucose sensors was less clear. Determinants of cost-effectiveness included treatment effects on glycosylated haemoglobin and hypoglycaemia, costing of technologies and complications, and measures of utility.
Insulin pumps or glucose sensors appeared cost-effective, particularly in populations with higher HbA1c levels and rates of hypoglycaemia. However, cost-effectiveness for combined insulin pumps and glucose sensors was less clear.
The study was registered with PROSPERO, number CRD42017077221.
随着 1 型糖尿病技术的快速发展,经济评估是指导具有成本效益的临床和政策决策的重要组成部分。因此,我们旨在回顾和综合当前可用的糖尿病管理技术的经济文献,并概述成本效益的关键决定因素。
2019 年 4 月进行了系统搜索,重点是基于模型或试验的经济评估。搜索的数据库包括 Medline、Medline 进行中和其他非索引引文、EMBASE、PubMed、所有循证医学评论、EconLit、成本效益分析登记处、经济学研究论文、Web of Science、PsycInfo、CINAHL 和 PROSPERO 从成立之初。我们使用问卷调查评估纳入研究的质量,该问卷用于评估为医疗保健决策提供信息的建模研究的相关性和可信度,这是一个 ISPOR-AMCP-NPC 良好实践工作组报告。两名独立研究人员进行了摘要和全文的筛选、评估和提取。
我们确定了 16772 篇出版物,其中 35 篇进行了分析并包括 11 种健康技术。尽管缺乏共识,但大多数研究报告称胰岛素泵(56%)或间质葡萄糖传感器(62%)具有成本效益,尽管增量成本效益比范围很广(14266 美元至 2997832 美元)。胰岛素泵和葡萄糖传感器联合使用的成本效益不太明确。成本效益的决定因素包括对糖化血红蛋白和低血糖的治疗效果、技术和并发症的成本以及效用的衡量。
胰岛素泵或葡萄糖传感器似乎具有成本效益,特别是在糖化血红蛋白水平和低血糖发生率较高的人群中。然而,胰岛素泵和葡萄糖传感器联合使用的成本效益不太明确。
该研究在 PROSPERO 上注册,编号为 CRD42017077221。