Suchergebnisse

Patients rely on physicians to act as their agents when prescribing medications, yet the efforts of pharmaceutical manufacturers and prescription drug insurers may alter this agency relationship. We evaluate how formularies, and the use of information technology (IT) that provides physicians with formulary information, influence prescribing. We combine data from a randomized experiment of physicians with secondary data to eliminate bias due to patient, physician, drug, and insurance characteristics. We find that when given formulary IT, physicians' prescribing decisions are influenced by formularies far more than by pharmaceutical firms' detailing and sampling. Without IT, however, formularies' effects are much smaller.

We study whether people became less likely to switch Medicare prescription drug plans (PDPs) due to more options and more time in Part D. Panel data for a random 20 percent sample of enrollees from 2006–2010 show that 50 percent were not in their original PDPs by 2010. Individuals switched PDPs in response to higher costs of their status quo plans, saving them money. Contrary to choice overload, larger choice sets increased switching unless the additional plans were relatively expensive. Neither switching overall nor responsiveness to costs declined over time, and above-minimum spending in 2010 remained below the 2006 and 2007 levels. (JEL H51, I13, I18)

Consumers' enrollment decisions in Medicare Part D can be explained by Abaluck and Gruber's (2011) model of utility maximization with psychological biases or by a neoclassical version of their model that precludes such biases. We evaluate these competing hypotheses by applying nonparametric tests of utility maximization and model validation tests to administrative data. We find that 79 percent of enrollment decisions from 2006 to 2010 satisfied basic axioms of consumer theory under the assumption of full information. The validation tests provide evidence against widespread psychological biases. In particular, we find that precluding psychological biases improves the structural model's out-of-sample predictions for consumer behavior. (JEL C52, D12, I13, I18, J14)

Under Medicare Part D, senior citizens choose prescription drug insurance offered by numerous private insurers. We examine nonpoor enrollees' actions in 2006 and 2007 using panel data. Our sample reduced overspending by $298 on average, with gains by 81 percent of them. The greatest improvements were by those who overspent most in 2006 and by those who switched plans. Decisions to switch depended on individuals' overspending in 2006 and on individual-specific effects of changes in their current plans. The oldest consumers and those initiating medications for Alzheimer's disease improved by more than average, suggesting that real-world institutions help overcome cognitive limitations. (JEL D14, G22, H51, I13, I18)

The authors develop a conceptual framework regarding how information technology (IT) can alter within-physician disparities, and they empirically test some of its implications in the context of coronary heart disease. Using a random experiment on 256 primary care physicians, the authors analyze the relationships between three IT functions (feedback and two types of clinical decision support) and five process-of-care measures. Endogeneity is addressed by eliminating unobserved patient characteristics with vignettes and by proxying for omitted physician characteristics. The results indicate that IT has no effects on physicians' diagnostic certainty and treatment of vignette patients overall. The authors find that treatment and certainty differ by patient age, gender, and race. Consistent with the framework, IT's effects on these disparities are complex. Feedback eliminated the gender disparities, but the relationships differed for other IT functions and process measures. Current policies to reduce disparities and increase IT adoption may be in discord.