Healthcare

This study implemented and evaluated a prediction-driven nurse staffing framework in a large adult emergency department. The framework leveraged a two-stage prediction model that forecasted patient volume and guided staffing decisions. Using a pre-post study design, we compared patient throughput (measured by door-to-evaluation time, active treatment time, boarding time, length of stay, and left-without-being-seen rate) and cost outcomes (measured as hourly nurse staffing costs) before and after implementation.

We study the aggregate and heterogeneous effects of a front-of-package labeling policy implemented in Chile. We find that consumers reduced their sugar and caloric intake by 9% and 6%, reductions explained by consumers purchasing healthier products and firms reformulating their offerings. On the demand side, labels prompt consumers to substitute within categories rather than between categories. Within-category responses are more pronounced when labels provide new information.

We study whether, and how, managers can increase government productivity in the context of public health provision. Using novel data from public hospitals in Chile, we document that top managers (CEOs) account for a significant amount of variation in hospital mortality. Using a difference-in-differences design, we show how the introduction of a competitive selection system for recruiting public hospital CEOs reduced hospital mortality by approximately 7%. The effect is not explained by a change in patient composition and is robust to several alternative explanations.

We study the effects of competition by state-owned firms, leveraging the decentralized entry of public pharmacies to local markets in Chile. Public pharmacies sell the same drugs at a third of private pharmacy prices, because of stronger upstream bargaining and market power in the private sector, but are of lower quality. Public pharmacies induced market segmentation and price increases in the private sector, which benefited the switchers to the public option but harmed the stayers.

Making good health insurance decisions is important for health outcomes and longevity, but consumers’ errors are well documented. The authors examine whether targeted choice architecture interventions can reduce these mistakes. The article examines the interaction of two choice architecture tools on improved consumer insurance decisions in online health care exchanges: (1) ordering the options from best to worst based on a high-quality user model and (2) partitioning the total set of options.

How can firms encourage consumers to adopt smartphone apps? The authors show that several inexpensive choice architecture techniques can make users more likely to enable important app features and complete app onboarding. In six preregistered experiments (n = 5,968) and a field experiment (n = 594,997), choice architecture interventions manipulating choice sequence, color, and wording of app adoption decisions dramatically increased app adoption. Across experiments, integrating multiple feature decisions into a single choice increased adoption.

Nearly all students experience stress as they pursue important academic goals. Because stress can be magnified for students from disadvantaged backgrounds, it becomes important to identify interventions that can help mitigate this stress, particularly for these populations as they enter academic environments. We examine the effects of stress mindset and stress management interventions administered to students from disadvantaged backgrounds (N = 140) before freshman year.

The early stages of the COVID-19 pandemic revealed stark regional variation in the spread of the virus. While previous research has highlighted the impact of regional differences in sociodemographic and economic factors, we argue that regional differences in social and compliance behaviors-the very behaviors through which the virus is transmitted-are critical drivers of the spread of COVID-19, particularly in the early stages of the pandemic.