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The payment approach known as "pay-for-performance" has been widely adopted with the aim of improving the quality of health care. Nonetheless, little is known about how to use the approach most effectively to improve care. We examined the effects in 260 hospitals of a pay-for-performance demonstration project carried out by the Centers for Medicare and Medicaid Services in partnership with Premier Inc., a nationwide hospital system. We compared these results to those of a control group of 780 hospitals not in the demonstration project. The performance of the hospitals in the project initially improved more than the performance of the control group: More than half of the pay-for- performance hospitals achieved high performance scores, compared to fewer than a third of the control hospitals. However, after five years, the two groups' scores were virtually identical. Improvements were largest among hospitals that were eligible for larger bonuses, were well financed, or operated in less competitive markets. These findings suggest that tailoring pay-for-performance programs to hospitals' specific situations could have the greatest effect on health care quality. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has led to substantial increases in the use of telehealth and virtual care in the US. Differential patient and provider access to technology and resources has raised concerns that existing health disparities may be extenuated by shifts to virtual care. We used data from one of the largest providers of employer-sponsored insurance, the California Public Employees' Retirement System, to examine potential disparities in the use of telehealth. We found that lower-income, non-White, and non-English-speaking people were more likely to use telehealth during the period we studied. These differences were driven by enrollment in a clinically and financially integrated care delivery system, Kaiser Permanente. Kaiser's use of telehealth was higher before and during the pandemic than that of other delivery models. Access to integrated care may be more important to the adoption of health technology than patient-level differences. [ABSTRACT FROM AUTHOR]