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Development of a cost-effectiveness model for optimisation of the screening interval in diabetic retinopathy screening

机译:建立优化糖尿病视网膜病变筛查间隔的成本效益模型

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BACKGROUND:\udThe English NHS Diabetic Eye Screening Programme was established in 2003. Eligible people are invited annually for digital retinal photography screening. Those found to have potentially sight-threatening diabetic retinopathy (STDR) are referred to surveillance clinics or to Hospital Eye Services.\udOBJECTIVES:\udTo determine whether personalised screening intervals are cost-effective.\udDESIGN:\udRisk factors were identified in Gloucestershire, UK using survival modelling. A probabilistic decision hidden (unobserved) Markov model with a misgrading matrix was developed. This informed estimation of lifetime costs and quality-adjusted life-years (QALYs) in patients without STDR. Two personalised risk stratification models were employed: two screening episodes (SEs) (low, medium or high risk) or one SE with clinical information (low, medium-low, medium-high or high risk). The risk factor models were validated in other populations.\udSETTING:\udGloucestershire, Nottinghamshire, South London and East Anglia (all UK).\udPARTICIPANTS:\udPeople with diabetes in Gloucestershire with risk stratification model validation using data from Nottinghamshire, South London and East Anglia.\udMAIN OUTCOME MEASURES:\udPersonalised risk-based algorithm for screening interval; cost-effectiveness of different screening intervals.\udRESULTS:\udData were obtained in Gloucestershire from 12,790 people with diabetes with known risk factors to derive the risk estimation models, from 15,877 people to inform the uptake of screening and from 17,043 people to inform the health-care resource-usage costs. Two stratification models were developed: one using only results from previous screening events and one using previous screening and some commonly available GP data. Both models were capable of differentiating groups at low and high risk of development of STDR. The rate of progression to STDR was 5 per 1000 person-years (PYs) in the lowest decile of risk and 75 per 1000 PYs in the highest decile. In the absence of personalised risk stratification, the most cost-effective screening interval was to screen all patients every 3 years, with a 46% probability of this being cost-effective at a £30,000 per QALY threshold. Using either risk stratification models, screening patients at low risk every 5 years was the most cost-effective option, with a probability of 99-100% at a £30,000 per QALY threshold. For the medium-risk groups screening every 3 years had a probability of 43-48% while screening high-risk groups every 2 years was cost-effective with a probability of 55-59%.\udCONCLUSIONS:\udThe study found that annual screening of all patients for STDR was not cost-effective. Screening this entire cohort every 3 years was most likely to be cost-effective. When personalised intervals are applied, screening those in our low-risk groups every 5 years was found to be cost-effective. Screening high-risk groups every 2 years further improved the cost-effectiveness of the programme. There was considerable uncertainty in the estimated incremental costs and in the incremental QALYs, particularly with regard to implications of an increasing proportion of maculopathy cases receiving intravitreal injection rather than laser treatment. Future work should focus on improving the understanding of risk, validating in further populations and investigating quality issues in imaging and assessment including the potential for automated image grading.
机译:背景:\ ud英语NHS糖尿病眼科筛查计划于2003年成立。每年都会邀请有资格的人员进行数字视网膜摄影筛查。那些发现有潜在威胁视力的糖尿病性视网膜病(STDR)的人被转诊到监视诊所或医院眼科服务。\ ud目标:\ ud为了确定个性化的筛查间隔是否具有成本效益。\ udDESIGN:\ ud在格洛斯特郡已确定了风险因素,英国使用生存模型。提出了带有错误等级矩阵的概率决策隐藏(不可观察)马尔可夫模型。无STDR的患者可以据此估算终生成本和质量调整生命年(QALYs)。使用了两种个性化的风险分层模型:两个筛查发作(SE)(低,中或高风险)或一个具有临床信息的SE(低,中-低,中-高或高风险)。危险因素模型在其他人群中得到了验证。\ udSETTING:\ udGloucestershire,Nottinghamshire,南伦敦和东英吉利(全英国)。 \ ud主要观察指标:\ ud基于风险的个性化筛选间隔算法; \ udRESULTS:\ ud数据从格洛斯特郡的12790名具有已知危险因素的糖尿病患者获得,以推导风险估计模型,从15877名需要进行筛查的人和17043名获得健康信息的人中获取数据护理资源使用成本。开发了两种分层模型:一种仅使用先前筛选事件的结果,一种使用先前筛选和一些常用的GP数据。两种模型都能够区分低度和高度STDR发生风险的人群。在患病风险最低的十分位数中,发展为STDR的速率为每千人年5(PYs),在最高的十分位数中则为每1000 PY 75。在没有个性化风险分层的情况下,最具成本效益的筛查间隔是每3年筛查所有患者,其中46%的概率具有成本效益,每QALY阈值为30,000英镑。使用这两种风险分层模型,每5年对低风险患者进行筛查是最具成本效益的选择,每QALY阈值为30,000英镑的可能性为99-100%。对于中等风险组,每3年进行筛查的可能性为43-48%,而对于每2年筛查高风险组则具有成本效益,可能性为55-59%。\ ud结论:\ ud研究发现,每年筛查所有接受STDR的患者都不具有成本效益。每3年对整个队列进行一次筛选最有可能具有成本效益。当应用个性化间隔时,发现每隔5年对我们的低风险人群进行筛查是合算的。每两年对高风险人群进行一次筛选,进一步提高了该计划的成本效益。估计的增加费用和增加的QALYs存在很大的不确定性,尤其是接受玻璃体内注射而不是激光治疗的黄斑病变病例比例增加的影响。未来的工作应集中在提高对风险的理解,在更多人群中进行验证以及调查成像和评估中的质量问题,包括自动图像分级的潜力。

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