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We study the effect of hospital adoption of electronic medical records (EMRs) on health outcomes, particularly patient safety indicators (PSIs). We find evidence of a positive impact of EMRs on PSIs via decision support rather than care coordination. Consistent with this mechanism, we find an...
Persistent link: https://www.econbiz.de/10012457279
This paper explores the effects of public health insurance expansions on hospitals’ decisions to adopt medical technology. Specifically, we test whether the expansion of Medicaid eligibility for pregnant women during the 1980s and 1990s affects hospitals’ decisions to adopt neonatal...
Persistent link: https://www.econbiz.de/10011096398
This paper explores the effects of public health insurance expansions on hospitals’ decisions to adopt medical technology. Specifically, we test whether the expansion of Medicaid eligibility for pregnant women during the 1980s and 1990s affected hospitals’ decisions to adopt neonatal...
Persistent link: https://www.econbiz.de/10011096406
This paper explores the effects of public health insurance expansions on hospitals' decisions to adopt medical technology. Specifically, we test whether the expansion of Medicaid eligibility for pregnant women during the 1980s and 1990s affects hospitals' decisions to adopt neonatal intensive...
Persistent link: https://www.econbiz.de/10011190982
We study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records,...
Persistent link: https://www.econbiz.de/10014226106
Vaccines influence the course of pandemics both directly, by protecting the vaccinated, and indirectly, by reducing transmission to the unvaccinated, a key externality. Estimating direct effects is challenging because of selective vaccine take-up; estimating indirect effects also poses...
Persistent link: https://www.econbiz.de/10013435112
Difference-in-Difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no...
Persistent link: https://www.econbiz.de/10014436973
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