Blavin Fredric, Holahan John
Health Policy Division, Urban Institute, Washington, DC.
JAMA Health Forum. 2025 Jul 3;6(7):e251640. doi: 10.1001/jamahealthforum.2025.1640.
There is a growing consensus that commercial prices vary in ways that do not reflect quality of care and are a key factor in high health care spending in the US.
To assess the geographic variation in commercial prices relative to Medicare rates for both hospital and professional services at the state and substate levels, estimate the change in these prices and determine which characteristics are associated with higher hospital prices.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed deidentified aggregated health care claims data for 2 time frames of service, from January 1, 2020, through December 31, 2020, and from June 1, 2022, through May 31, 2023, to construct commercial-to-Medicare price ratios for hospital and professional services at the state and geozip levels (491 geozips correspond to combinations of zip codes in 50 states and the District of Columbia). Multivariable regression models were estimated to assess the association between commercial-to-Medicare relative hospital prices and various market characteristics at the geozip level. Data analysis was conducted from July through November 2024.
Exposures defined at the geozip level included hospital and insurer market concentrations, the share of hospitals beds associated with nonprofit hospitals, the share of beds associated with health systems, the presence of a major teaching hospital, mean household income, the share of the population who had public health insurance, and the share who were uninsured.
Commercial prices relative to Medicare rates for inpatient, outpatient, combined hospital, and professional services.
This cross-sectional study of 1.2 billion claim lines in 2020 and 1.5 billion claim lines from June 2022 through May 2023 found that private insurers' in-network allowed amounts were 246% (ratio [SD], 2.46 [0.6]) of the Medicare rates for hospital services and 124% (ratio [SD], 1.24 [0.3]) of the Medicare rates for professional services. The mean commercial-to-Medicare price ratio for professional services slightly declined from 2020 to 2022-2023, while the mean (SD) price ratio for hospital services increased by 5.5%, from 2.34 (0.5) in 2020 to 2.46 (0.6) in 2022-2023. There was substantial variation in the commercial-to-Medicare price ratios across states and geozips. Geozips with very high hospital market concentration levels (Herfindahl-Hirschman Index [HHI]>3500) were associated with a commercial-to-Medicare price ratio higher by 0.21 (95% CI, 0.02-0.39; P = .03) relative to geozips with HHI levels lower than 1500, which represents an 8.4% increase above the 2022-2023 mean. High insurer concentration was negatively associated with the commercial-to-Medicare hospital price ratios (-0.13; 95% CI, -0.26 to 0.01; P = .04), whereas having a major teaching hospital in the geozip (0.20; 95% CI, 0.06-0.34; P = .01), being in the highest household income quartile (0.35; 95% CI, 0.13-0.57; P = .002), and the share of the population who were uninsured (0.03; 95% CI, 0.01-0.05; P < .001) were positively associated with price ratios.
Examination of a major claims database revealed substantial geographic variation in commercial-to-Medicare price ratios and increases in the price ratio for hospital services over time. Substate market and hospital characteristics were also associated with higher commercial-to-Medicare relative prices. These factors, including high hospital market concentration, could be used to identify and target specific areas more amenable to policies aimed at curbing hospital price growth.
越来越多的人达成共识,即商业价格的变化方式并未反映医疗服务质量,且是美国医疗保健高支出的关键因素。
评估州和州以下层面医院及专业服务的商业价格相对于医疗保险费率的地理差异,估计这些价格的变化,并确定哪些特征与较高的医院价格相关。
设计、设置和参与者:这项横断面研究分析了2个服务时间段(从2020年1月1日至2020年12月31日,以及从2022年6月1日至2023年5月31日)的去识别化汇总医疗保健索赔数据,以构建州和地理邮政编码区域(491个地理邮政编码区域对应50个州和哥伦比亚特区的邮政编码组合)层面医院及专业服务的商业价格与医疗保险价格之比。估计多变量回归模型以评估地理邮政编码区域层面商业价格与医疗保险相对医院价格之间的关联。数据分析于2024年7月至11月进行。
在地理邮政编码区域层面定义的暴露因素包括医院和保险公司市场集中度、非营利性医院相关病床的比例、与医疗系统相关病床的比例、是否存在大型教学医院、平均家庭收入、拥有公共医疗保险人口的比例以及未参保人口的比例。
住院、门诊、综合医院及专业服务的商业价格相对于医疗保险费率。
这项对2020年12亿条索赔记录以及2022年6月至2023年5月15亿条索赔记录的横断面研究发现,私立保险公司的网络内允许支付金额是医院服务医疗保险费率的246%(比率[标准差],2.46[0.6]),是专业服务医疗保险费率的124%(比率[标准差],1.24[0.3])。专业服务的商业价格与医疗保险价格平均比率从2020年到2022 - 2023年略有下降,而医院服务的平均(标准差)价格比率上升了5.5%,从2020年的2.34(0.5)升至202与医疗保险价格之比在各州和地理邮政编码区域存在很大差异。医院市场集中度非常高(赫芬达尔 - 赫希曼指数[HHI]>3500)的地理邮政编码区域与医疗保险价格之比相对于HHI水平低于1500的地理邮政编码区域高0.21(95%置信区间,0.02 - 0.39;P = 0.03),这比2022 - 2023年的平均水平高出8.4%。高保险公司集中度与商业价格与医疗保险医院价格之比呈负相关(-0.13;95%置信区间,-0.26至0.01;P = 0.04),而地理邮政编码区域存在大型教学医院(0.20;95%置信区间,0.06 - 0.34;P = 0.01)、处于最高家庭收入四分位数(0.35;95%置信区间,0.13 - 0.57;P = 0.002)以及未参保人口的比例(0.03;95%置信区间,0.01 - 0.05;P < 0.001)与价格之比呈正相关。
对一个主要索赔数据库的研究揭示了商业价格与医疗保险价格之比存在显著的地理差异,且医院服务价格比率随时间增加。州以下市场和医院特征也与较高的商业价格与医疗保险相对价格相关。这些因素,包括高医院市场集中度,可用于识别和针对更适合旨在抑制医院价格增长政策的特定区域。