Complete and Accurate? The Role of Profit Orientation in the Production of Public Health Data

Public officials rely on performance data that are self-reported by organizations to evaluate progress on a wide range of prosocial outcomes. Policies that require public disclosure of performance in health care are thought to enable patients to select high-quality providers, which in turn may spur quality improvements as providers seek to protect their reputation or increase economic returns. Drawing on institutional theory that examines how conflicting institutional pressures influence organizational decisions, we theorize how profit orientation may mediate the response of health care providers to disclosure mandates in a public health crisis. We focus on measures of data quality—completeness and accuracy—in self-reported data on COVID-19 status and outcomes generated by thousands of long-term care facilities. Using pooled regressions and a difference-in-differences style design, we find that overall, for-profit and not-for-profit facilities report similarly complete data but that for-profit facilities report less accurate data than their not-for-profit counterparts. Our results suggest that it may be important to incentivize each dimension of data quality separately to address differential institutional pressures that affect reporting practices.