口腔保健环境中筛查糖尿病前期和糖尿病的成本效益

Lan Gao, Elise Tan, R. Mariño, Michelle King, Andre Priede, G. Adams, Maria Sicari, M. Moodie
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引用次数: 0

摘要

背景:本研究从医疗保健系统的角度评估这种筛查方案的长期成本效益。方法:澳大利亚人提出的私人口腔保健实践招募识别研究包括作为研究人群。开发了一个决策树之前的马尔可夫模型,以评估干预措施在推广到所有符合条件的澳大利亚人时的长期成本效益,并与“不干预”的现行做法进行比较。该模型由四种健康状态组成:血糖正常;糖尿病前期;2型糖尿病和死亡评估不同水平(10%、20%、30%、40%)的干预效果。该模型采用了30年的生命周期和2020年的参考年。成本和收益按每年5%折现。结果:如果干预至少达到目标人群的10%,在一生的时间范围内,每个筛查的参与者将产生38,462美元的成本和10.564 QALYs的收益,而在目前的实践中,每个参与者的成本为38,469美元和10.561 QALYs。与目前没有进行筛查的标准做法相比,筛查的成本更低,收益更高(每人节省8美元,获得0.003个QALYs)。如果在私人口腔保健实践中采用10%至40%的干预措施,每10,000名接受筛查的患者中将避免8至34例2型糖尿病病例。敏感性分析结果一致。结论:使用简单的风险评估工具在私人口腔保健机构实施2型糖尿病筛查被证明是节省成本的。建议更广泛地采用这种筛查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost-Effectiveness of Screening to Identify Pre-Diabetes and Diabetes in the Oral Healthcare Setting
Background: This study assesses the long-term cost-effectiveness of this screening protocol from a healthcare system perspective. Methods: Australians presenting to private oral healthcare practices recruited to the iDENTify study were included as the study population. A Markov model preceded by a decision tree was developed to assess the intervention’s long-term cost-effectiveness when rolled out to all eligible Australians, and measured against ‘no-intervention’ current practice. The model consisted of four health states: normoglycaemia; pre-diabetes; type 2 diabetes and death. Intervention reach of various levels (10%, 20%, 30%, and 40%) were assessed. The model adopted a 30-year lifetime horizon and a 2020 reference year. Costs and benefits were discounted at 5% per annum. Results: If the intervention reached a minimum of 10% of the target population, over the lifetime time horizon, each screened participant would incur a cost of $38,462 and a gain of 10.564 QALYs, compared to $38,469 and 10.561 QALYs for each participant under current practice. Screening was associated with lower costs and higher benefits (a saving of $8 per person and 0.003 QALYs gained), compared to current standard practice without such screening. Between 8 and 34 type 2 diabetes cases would be avoided per 10,000 patients screened if the intervention were taken up by 10% to 40% of private oral healthcare practices. Sensitivity analyses showed consistent results. Conclusions: Implementing type 2 diabetes screening in the private oral healthcare setting using a simple risk assessment tool was demonstrated to be cost-saving. The wider adoption of such screening is recommended.
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