The psychology and policy of overcoming economic inequality.

Recent arguments claim that behavioral science has focused - to its detriment - on the individual over the system when construing behavioral interventions. In this commentary, we argue that tackling economic inequality using both framings in tandem is invaluable. By studying individuals who have overcome inequality, "positive deviants," and the system limitations they navigate, we offer potentially greater policy solutions.

The persistence of cognitive biases in financial decisions across economic groups.

While economic inequality continues to rise within countries, efforts to address it have been largely ineffective, particularly those involving behavioral approaches. It is often implied but not tested that choice patterns among low-income individuals may be a factor impeding behavioral interventions aimed at improving upward economic mobility. To test this, we assessed rates of ten cognitive biases across nearly 5000 participants from 27 countries. Our analyses were primarily focused on 1458 individuals that were either low-income adults or individuals who grew up in disadvantaged households but had above-average financial well-being as adults, known as positive deviants. Using discrete and complex models, we find evidence of no differences within or between groups or countries. We therefore conclude that choices impeded by cognitive biases alone cannot explain why some individuals do not experience upward economic mobility. Policies must combine both behavioral and structural interventions to improve financial well-being across populations.

Factors associated with boarding and length of stay for pediatric mental health emergency visits.

OBJECTIVE: To determine demographic and clinical risk factors associated with boarding (length of stay ≥24 h) for pediatric mental health emergency department (ED) visits. METHODS: This is a retrospective cross-sectional analysis of mental health visits identified by diagnosis codes for children 5-18 years old presenting to a tertiary pediatric ED in 2016. We performed multivariate logistic regression to identify demographic and clinical factors associated with boarding. RESULTS: There were 1746 mental health visits and 386 (22%) visits had length of stay ≥24 h. In the multivariate logistic regression model, factors associated with boarding included: private insurance (OR 1.59, 95% CI 1.15, 2.19) and having both private and public insurance (OR 1.68, 95% CI 1.16, 2.43) relative to public insurance; presentation during a school month (OR 2.17, 95% CI 1.30, 3.63); physical or chemical restraint use (OR 4.80, 95% CI 2.61, 8.84); comorbid autism or developmental delay (OR 1.82, 95% CI 1.35, 2.46); prior psychiatric hospitalization (OR 2.55, 95% CI 1.93, 3.36); and reasons for presentation of agitation, aggression, or homicidal ideation (OR 2.76, 95% CI 1.40, 5.45), depression, self-injury, or suicidal ideation (OR 2.79, 95% CI 1.45, 5.40), and bipolar, mania, or psychosis (OR 5.78, 95% CI 2.36, 14.09) relative to anxiety. CONCLUSIONS: Insurance status, presentation month, restraint use, autism or developmental delay comorbidity, prior psychiatric hospitalization, and reason for presentation are associated with pediatric mental health ED boarding. Resources should be directed to improve the mental health care system for children with identified risk factors for boarding.