Behaviorally designed training leads to more diverse hiring.

A field experiment provides a promising proof of concept.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.

The partisanship of mayors has no detectable effect on police spending, police employment, crime, or arrests.

In this paper, we examine whether mayors' partisan affiliations lead to differences in crime and policing. We use a large new dataset on mayoral elections and three different modern causal inference research designs (a regression discontinuity design centered around close elections and two robust difference-in-differences methods) to determine the causal effect of mayoral partisanship on crime, arrests, and racial differences in arrest patterns in medium and large US cities. We find no evidence that mayoral partisanship affects police employment or expenditures, police force or leadership demographics, overall crime rates, or numbers of arrests.

Irritability and Social Media Use in US Adults.

Importance: Efforts to understand the complex association between social media use and mental health have focused on depression, with little investigation of other forms of negative affect, such as irritability and anxiety.

Objective: To characterize the association between self-reported use of individual social media platforms and irritability among US adults.

Design, Setting, And Participants: This survey study analyzed data from 2 waves of the COVID States Project, a nonprobability web-based survey conducted between November 2, 2023, and January 8, 2024, and applied multiple linear regression models to estimate associations with irritability.

The impact of transient air pollution exposure on worker performance in Chinese soccer players.

Using a unique dataset on the performance of soccer players in China (retrieved from 632 matches involving 24 teams during the 2014 to 2016 seasons), we investigate the effect of air pollution on different performance indicators that rely on different mixtures of the physical and cognitive inputs of players. To ensure a causal interpretation, we implement an instrumental variable (IV) approach using thermal inversion as the instrument for air pollution. We found that players' performance indicators, especially those more related to cognitive factors, are more strongly influenced by air pollution.

Predicting the next round of drugs for Medicare price negotiation.

There is uncertainty regarding which brand-name prescription drugs will have their prices negotiated by Medicare in 2025. This Viewpoint analyzes the process that will be used to select the next 15 drugs for price negotiation.

Racial Bias in Clinical and Population Health Algorithms: A Critical Review of Current Debates.

Among health care researchers, there is increasing debate over how best to assess and ensure the fairness of algorithms used for clinical decision support and population health, particularly concerning potential racial bias. Here we first distill concerns over the fairness of health care algorithms into four broad categories: () the explicit inclusion (or, conversely, the exclusion) of race and ethnicity in algorithms, () unequal algorithm decision rates across groups, () unequal error rates across groups, and () potential bias in the target variable used in prediction. With this taxonomy, we critically examine seven prominent and controversial health care algorithms.

Differential Legal Protections for Biologics vs Small-Molecule Drugs in the US.

Importance: Biologics approved by the US Food and Drug Administration (FDA) receive 12 years of guaranteed protection from biosimilar competition compared with 5 years of protection from generic competition for new small-molecule drugs. Under the 2022 Inflation Reduction Act, biologics are exempt from selection for Medicare price negotiation for 11 years compared with 7 years for small-molecule drugs. Congress codified these differing legal protections on the premise that biologics require more time and resources to develop and have weaker patent protection, necessitating additional protections for manufacturers to recoup their development costs and generate adequate returns on investment.

All-cause nursing home mortality rates have remained above pre-pandemic levels after accounting for decline in occupancy.

During the initial year of the COVID-19 pandemic, a disproportionate share of COVID-19-related deaths occurred among nursing home residents. Initial estimates of all-cause mortality rates also spiked in early and late 2020 before falling to near or below historical rates by early 2021. During the first 3 years of the pandemic, the US nursing home resident population also decreased by 18% (239 000 fewer residents) compared with pre-pandemic levels.

COVID-19 employment shocks and safety net expansion: Health effects on displaced workers.

COVID-19 precipitated sharp job losses, concentrated in the service sector. Prior research suggests that such shocks would negatively affect health and wellbeing. However, the nature of the pandemic crisis was distinct in ways that may have mitigated any such negative effects, and historic expansions in unemployment insurance (UI) may have buffered workers from negative health consequences.

Variation in batch ordering of imaging tests in the emergency department and the impact on care delivery.

Objectives: To examine heterogeneity in physician batch ordering practices and measure the associations between a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.

Study Setting And Design: In this retrospective study, we used comprehensive EMR data from patients who visited the Mayo Clinic of Arizona Emergency Department (ED) between October 6, 2018 and December 31, 2019. Primary outcomes are patient length of stay (LOS) in the ED, number of diagnostic imaging tests ordered during a patient encounter, and patients' return with admission to the ED within 72 h.

Opioid Use Disorder Treatment in Sexually and Gender Diverse Patients: A Retrospective Cohort Study.

This study assesses differences in opioid use disorder (OUD) treatment among sexually and gender diverse (SGD) vs non-SGD people. Using electronic health record data from a federally qualified health center, this retrospective cohort study explores OUD treatment for adults with an OUD diagnosis, as well as any clinic visit from January 2013 until June 2021 (N = 1,133), through review of medication prescriptions for OUD and OUD-related visits. Patients identifying as lesbian/gay had the lowest prevalence of OUD, with 1% (n = 231) of lesbian/gay patients having an OUD diagnosis, as compared to 1.

Moral Future-Thinking: Does the Moral Circle Stand the Test of Time?

Humanity's long-term welfare may lie in the hands of those who are presently living, raising the question of whether people today hold the generations of tomorrow in their moral circles. Five studies (N = 1652; Prolific) reveal present-oriented bias in the moral standing of future generations, with greater perceived moral obligation, moral concern, and prosocial intentions for proximal relative to distal future targets. Yet, present-oriented bias appears stronger for socially close compared with socially distant targets and for human targets relative to non-human animals and entities in nature.

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor.

Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope has been placed on CPMs to mitigate human biases, CPMs may potentially contribute to racial disparities in decision-making and resource allocation. While some policymakers, professional organizations, and scholars have called for eliminating race as a variable from CPMs, others raise concerns that excluding race may exacerbate healthcare disparities and this controversy remains unresolved.