Chandra Amitabh, Flack Evan, Obermeyer Ziad
Harvard Kennedy School, Harvard Business School, and National Bureau of Economic Research, United States.
Stanford University, United States.
Q J Econ. 2024 May 3;139(4):2037-2082. doi: 10.1093/qje/qjae015. eCollection 2024 Nov.
What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare's prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a function of their birth month, beyond which out-of-pocket costs suddenly increase. Those facing smaller budgets consume fewer drugs and die more: mortality increases 0.0164 percentage points per month (13.9%) for each $100 per month budget decrease (24.4%). This estimate is robust to a range of falsification checks and lies in the 97.8th percentile of 544 placebo estimates from similar populations that lack the same idiosyncratic budget policy. Several facts help make sense of this large effect. First, patients stop taking drugs that are both high value and suspected to cause life-threatening withdrawal syndromes when stopped. Second, using machine learning, we identify patients at the highest risk of drug-preventable adverse events. Contrary to the predictions of standard economic models, high-risk patients (e.g., those most likely to have a heart attack) cut back more than low-risk patients on exactly those drugs that would benefit them the most (e.g., statins). Finally, patients appear unaware of these risks. In a survey of 65-year-olds, only one-third believe that stopping their drugs for up to a month could have any serious consequences. We conclude that far from curbing waste, cost sharing is itself highly inefficient, resulting in missed opportunities to buy health at very low cost ($11,321 per life-year).
当患者突然停药时会发生什么?我们研究了因价格大幅、突然且任意变化导致的药物中断对健康的影响。医疗保险的处方药福利似乎是根据65岁老人的出生月份随机分配药物预算,超过该预算后自付费用会突然增加。那些面临较低预算的人药物消费量减少且死亡人数增加:每月预算每减少100美元(24.4%),死亡率就会增加0.0164个百分点(13.9%)。这一估计在一系列伪造检验中都很稳健,处于来自缺乏相同特殊预算政策的类似人群的544个安慰剂估计值的第97.8百分位。有几个事实有助于理解这种巨大影响。首先,患者会停止服用那些价值高且停药时可能引发危及生命的戒断综合征的药物。其次,通过机器学习,我们识别出药物可预防不良事件风险最高的患者。与标准经济模型的预测相反,高风险患者(例如最有可能心脏病发作的患者)在那些对他们最有益的药物(例如他汀类药物)上的削减幅度比低风险患者更大。最后,患者似乎并未意识到这些风险。在一项针对65岁老人的调查中,只有三分之一的人认为停药长达一个月可能会有任何严重后果。我们得出结论,成本分摊远非抑制浪费,其本身效率极低,导致以极低的成本(每生命年11,321美元)购买健康的机会错失。