In this work, we analyze the financial viability of U.S. hospitals by investigating the impact of clinical and experiential quality as its determinants. We adopt Simar and Wilson's two-stage bootstrapped truncated regression approach. Specifically, we use data envelopment analysis (DEA) in the first stage to estimate efficiency scores. Then, we use truncated regression estimation with the double-bootstrap method to test the significance of the quality variables. Given the financial problems recently experienced by U.S. hospitals, we use readmission rates and costs as our outputs to investigate how well hospitals can lower readmission rates while minimizing their costs, since recent policy changes have tied a portion of hospital reimbursements to their readmission rates, making both variables crucial outcome goals. We find that both clinical and experiential quality are significantly associated with the higher financial viability of hospitals. Further, focusing on these two quality dimensions together has additional benefits.

在这项工作中，我们通过调查临床和体验质量作为其决定因素的影响来分析美国医院的财务可行性。我们采用 Simar 和 Wilson 的两阶段自举截断回归方法。具体来说，我们在第一阶段使用数据包络分析（DEA）来估计效率分数。然后，我们使用带有双引导方法的截断回归估计来检验质量变量的显着性。鉴于美国医院最近遇到的财务问题，我们使用再入院率和成本作为我们的输出来调查医院如何在降低再入院率的同时最大限度地降低成本，因为最近的政策变化已将部分医院报销与再入院率挂钩，使得这两个变量都是至关重要的结果目标。我们发现临床和体验质量都与医院更高的财务可行性显着相关。此外，同时关注这两个质量维度还有其他好处。