Richy Florent, Ethgen Olivier, Bruyere Olivier, Mawet Audrey, Reginster Jean-Yves
University of Liège, Faculty of Science, Department of Public Health, Epidemiology and Health Economics, CHU B23 Sart-Tilman B-4000, Belgium.
J Bone Miner Res. 2004 Dec;19(12):1955-60. doi: 10.1359/JBMR.040903. Epub 2004 Sep 20.
This study focuses on the controversy surrounding selective approaches to screen for osteoporosis. Seven screening approaches were compared in terms of cost-effectiveness and incremental cost-effectiveness ratios in a sample of 4035 postmenopausal women. Our results show that certain prescreening strategies are more efficient than DXA-based approaches. These results are of considerable value for health policy decision-makers and the scientific community.
There is no general consensus on the most efficient strategy to use bone densitometry for osteoporosis screening. Two distinct approaches have progressively emerged: mass screening using DXA and prescreening strategies using user-friendly risk indices. This study was designed to compare the efficiency of these approaches.
A database of 4035 medical records from postmenopausal women above 45 years was analyzed. In the first scenario, women were systematically referred to DXA if above 45, 50, or 65 years of age. The second scenario involved the validated prescreening tools SCORE, ORAI, OST, and OSIRIS and assessed two separate ways of handling their results (theoretical and pragmatic). The cost of a DXA test was set as the median Belgian value: 40.14 Euros. All strategies were compared in terms of cost exposed per osteoporotic patient detected and in terms of incremental cost-effectiveness ratios.
In the systematic DXA strategies, the cost per patient detected ranged from 123 Euros when measuring all women >45 years of age to 91 Euros when focusing on women >65 years of age. The corresponding percentage of cases detected ranged from 100% (age > 45 years) to 50% (age > 65 years). When considering prescreening under the theoretical and pragmatic scenarios, the OSIRIS index provided the best efficiency, with costs of 74 Euros (theoretical) to 85 Euros (pragmatic) per case detected, followed by ORAI (75 Euros and 96 Euros), OST (84 Euros and 94 Euros), and SCORE (96 Euros and 103 Euros). The corresponding percentage of cases detected ranged from 89% (SCORE) to 75% (OSIRIS). The cost-effectiveness analysis showed that mass screening strategies over 50 and 65 years of age and using ORAI were best.
Our study sets the grounds for considering, in a health economics perspective, prescreening tools as valuable, cost-effective, approaches to significantly reduce the economic burden of osteoporosis screening.
本研究聚焦于围绕骨质疏松症筛查的选择性方法的争议。在4035名绝经后女性样本中,比较了七种筛查方法的成本效益和增量成本效益比。我们的结果表明,某些预筛查策略比基于双能X线吸收法(DXA)的方法更有效。这些结果对卫生政策决策者和科学界具有相当大的价值。
对于使用骨密度测定法进行骨质疏松症筛查的最有效策略,尚无普遍共识。逐渐出现了两种不同的方法:使用DXA进行大规模筛查和使用用户友好的风险指数进行预筛查策略。本研究旨在比较这些方法的效率。
分析了一个包含45岁以上绝经后女性的4035份病历的数据库。在第一种情况中,如果女性年龄超过45岁、50岁或65岁,则系统地将其转诊进行DXA检查。第二种情况涉及经过验证的预筛查工具SCORE、ORAI、OST和OSIRIS,并评估了处理其结果的两种不同方式(理论和实际)。将一次DXA检查的成本设定为比利时的中位数:40.14欧元。比较了所有策略在每检测出一名骨质疏松症患者的成本暴露以及增量成本效益比方面的情况。
在系统性DXA策略中,每检测出一名患者的成本范围从对所有45岁以上女性进行检测时的123欧元到关注65岁以上女性时的91欧元。相应检测出的病例百分比范围从100%(年龄>45岁)到50%(年龄>65岁)。在理论和实际情况下考虑预筛查时,OSIRIS指数提供了最佳效率,每检测出一例的成本为74欧元(理论)至85欧元(实际),其次是ORAI(75欧元和96欧元)、OST(84欧元和94欧元)和SCORE(96欧元和103欧元)。相应检测出的病例百分比范围从89%(SCORE)到75%(OSIRIS)。成本效益分析表明,50岁和65岁以上的大规模筛查策略以及使用ORAI的策略是最佳的。
我们的研究为从卫生经济学角度考虑将预筛查工具视为有价值、具有成本效益的方法奠定了基础,这些方法可显著降低骨质疏松症筛查的经济负担。