| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23166 |
| 来源ID | Working Paper 23166 |
| Evaluating Measures of Hospital Quality | |
| Joseph J. Doyle, Jr.; John A. Graves; Jonathan Gruber | |
| 发表日期 | 2017-02-13 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | In response to unsustainable growth in health care spending, there is enormous interest in reforming the payment system to “pay for quality instead of quantity.” While quality measures are crucial to such reforms, they face major criticisms largely over the potential failure of risk adjustment to overcome endogeneity concerns. In this paper we implement a methodology for estimating the causal relationship between hospital quality measures and patient outcomes. To compare similar patients across hospitals in the same market, we xploit ambulance company preferences as an instrument for patient assignment. We find that a variety of measures used by insurers to measure provider quality are successful: assignment to a higher-scoring hospital results in better patient outcomes. We estimate that a two-standard deviation improvement in a composite quality measure based on existing data collected by CMS is causally associated with reductions in readmissions and mortality of roughly 15%. |
| 主题 | Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/w23166 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/580840 |
| 推荐引用方式 GB/T 7714 | Joseph J. Doyle, Jr.,John A. Graves,Jonathan Gruber. Evaluating Measures of Hospital Quality. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w23166.pdf（676KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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