School of Public Health, Boston University, Boston, Massachusetts, USA.
Partnered Evidence-based Policy Resource Center, U.S. Department of Veterans Affairs, Boston, Massachusetts, USA.
Health Serv Res. 2022 Aug;57(4):744-754. doi: 10.1111/1475-6773.13950. Epub 2022 Mar 30.
To estimate the effect of wait times on patients' choice of provider and simulate changes in choice of provider due to compliance with VA MISSION Act wait time targets.
We use nationwide administrative data (2014-2017) on Veterans who are enrolled in Medicare and the Veterans Health Administration (VHA), the Survey of VHA Enrollees, Area Health Resource Files, and other data provided by the Centers for Medicare & Medicaid Services.
We use an instrumental variables approach to identify the effect of VHA wait times on the proportion of total (Medicare and VHA) services that are paid for by the VHA ("reliance"). We exploit shocks to VHA provider supply to isolate supply-driven changes in wait times and estimate the effect on VHA reliance. We control for market and time fixed effects and local demand factors.
DATA COLLECTION/EXTRACTION METHODS: We use monthly aggregated data on 140 markets (groups of counties). VHA reliance is computed among patients aged 65 years or older who are dually enrolled in VHA and Medicare. VHA wait times and reliance are calculated for multiple specialties: cardiology, gastroenterology, orthopedics, urology, dermatology, and ophthalmology/optometry.
A 10% increase in the mean wait time (+2.8 days) reduces VHA reliance by 2.3 percentage points (95% CI: 2.3, 2.7), or 7.9% of the sample mean. This implies that meeting the MISSION Act wait time targets may have multi-billion-dollar budgetary impacts. Effects vary across specialties. For example, a 10% increase in the mean wait time for cardiology services (+2.0 days) reduces reliance by 1.8 percentage points (95% CI: 1.6, 2.1), or 6.3% of the sample mean for cardiology services.
Meeting statutory wait time targets may have substantial unforeseen impacts on federal health care spending as patients sort to providers who have lower wait times.
评估等待时间对患者选择医生的影响,并模拟由于遵守 VA MISSION 法案等待时间目标而导致的医生选择变化。
我们使用全国性的行政数据(2014-2017 年),涉及在医疗保险和退伍军人健康管理局(VHA)注册的退伍军人、VHA 注册人员调查、地区卫生资源档案以及医疗保险和医疗补助服务中心提供的其他数据。
我们使用工具变量方法来确定 VHA 等待时间对 VHA 支付的总(医疗保险和 VHA)服务比例(“依赖度”)的影响。我们利用 VHA 供应商供应的冲击来隔离等待时间的供应驱动变化,并估计对 VHA 依赖度的影响。我们控制了市场和时间固定效应以及当地需求因素。
数据收集/提取方法:我们使用每月汇总的数据,涉及 140 个市场(县组)。VHA 依赖度是在同时在 VHA 和医疗保险注册的 65 岁或以上的患者中计算得出的。VHA 等待时间和依赖度是针对多个专业计算的:心脏病学、胃肠病学、骨科、泌尿科、皮肤科和眼科/验光。
平均等待时间增加 10%(+2.8 天)会使 VHA 依赖度降低 2.3 个百分点(95%置信区间:2.3,2.7),即样本平均值的 7.9%。这意味着满足 MISSION 法案等待时间目标可能会对数十亿美元的预算产生影响。效果因专业而异。例如,心脏病学服务的平均等待时间增加 10%(+2.0 天)会使依赖度降低 1.8 个百分点(95%置信区间:1.6,2.1),即心脏病学服务样本平均值的 6.3%。
满足法定等待时间目标可能会对联邦医疗保健支出产生重大意外影响,因为患者会选择等待时间较短的医生。