Health Affairs最新文献

Public health practice appears poised to undergo a transformative shift as a result of the latest advancements in artificial intelligence (AI). These changes will usher in a new era of public health, charged with responding to deficiencies identified during the COVID-19 pandemic and managing investments required to meet the health needs of the twenty-first century. In this Commentary, we explore how AI is being used in public health, and we describe the advanced capabilities of generative AI models capable of producing synthetic content such as images, videos, audio, text, and other digital content. Viewing the use of AI from the perspective of health departments in the United States, we examine how this new technology can support core public health functions with a focus on near-term opportunities to improve communication, optimize organizational performance, and generate novel insights to drive decision making. Finally, we review the challenges and risks associated with these technologies, offering suggestions for health officials to harness the new tools to accomplish public health goals.

Public health frameworks have grappled with the inequitable distribution of power as a driver of the social conditions that determine health. However, these frameworks have not adequately considered building community power as a strategy to shift the distribution of power. Community power-building organizations build and organize a base of affected people to take collective action to transform their material conditions, using advocacy and other tactics. We conducted qualitative interviews with representatives of twenty-two national nongovernmental public health organizations (public health NGOs) and thirteen community power-building organizations to explore the nature and potential of partnerships between public health and community power-building organizations. Our findings suggest ways to close advocacy gaps within the public health ecosystem and ways in which public health can strategically leverage its power, resources, and expertise to support social justice campaigns and movements.

Reimagining public health's future should include explicitly considering spirituality as a social determinant of health that is linked to human goods and is deeply valued by people and their communities. Spirituality includes a sense of ultimate meaning, purpose, transcendence, and connectedness. With that end in mind, we assessed how recommendations recently issued by an expert panel for integrating spiritual factors into public health and medicine are being adopted in current practice in the United States. These recommendations emerged from a systematic review of empirical evidence on spirituality, serious illness, and population health published between 2000 and 2022. For each recommendation, we reviewed current federal, state, and local policies and practices recognizing spiritual factors, and we considered the ways in which they reflected the panel's recommendations. In this article, we highlight opportunities for broader application and scale while also noting the potential harms and benefits associated with incorporating these recommendations in various contexts. This analysis, while respecting the spiritual and religious diversity of the US population, identifies promising approaches for strengthening US public health by integrating spiritual considerations to inform person- and community-centered policy and practice.

Women who are pregnant or recently gave birth are significantly more likely to be killed by an intimate partner than nonpregnant, nonpostpartum women of reproductive age, implicating the risk of fatal violence conferred by pregnancy itself. The rapidly increasing passage of state legislation has restricted or banned access to abortion care across the US. We used the most recent and only source of population-based data to examine the association between state laws that restrict access to abortion and trends in intimate partner violence-related homicide among women and girls ages 10-44 during the period 2014-20. Using robust difference-in-differences ecologic modeling, we found that enforcement of each additional Targeted Regulation of Abortion Providers (TRAP) law was associated with a 3.4 percent increase in the rate of intimate partner violence-related homicide in this population. We estimated that 24.3 intimate partner violence-related homicides of women and girls ages 10-44 were associated with TRAP laws implemented in the states and years included in this analysis. Assessment of policies that restrict access to abortion should consider their potential harm to reproductive-age women through the risk for violent death.

Guaranteed small cash incentives were widely employed by policy makers during the COVID-19 vaccination campaign, but the impact of these programs has been largely understudied. We were the first to exploit a statewide natural experiment of one such program implemented in West Virginia in 2021 that provided a $100 incentive to fully vaccinated adults ages 16-35. Using individual-level data from the Census Bureau's Household Pulse Survey, we isolated the policy effect through a difference-in-discontinuities design that exploited the discontinuity in incentive eligibility at age thirty-five. We found that the $100 incentive was associated with a robust increase in the proportion of people ever vaccinated against COVID-19 and the proportion who completed or intended to complete the primary series of COVID-19 vaccines. The policy effects were also likely to be more pronounced among people with low incomes, those who were unemployed, and those with no prior COVID-19 infection. The guaranteed cash incentive program may have created more equitable access to vaccines for disadvantaged populations. Additional outreach may also be needed, especially to unvaccinated people with prior COVID-19 infections.

Fluctuations in patient volume during the COVID-19 pandemic may have been particularly concerning for rural hospitals. We examined hospital discharge data from the Healthcare Cost and Utilization Project State Inpatient Databases to compare data from the COVID-19 pandemic period (March 8, 2020-December 31, 2021) with data from the prepandemic period (January 1, 2017-March 7, 2020). Changes in average daily medical volume at rural hospitals showed a dose-response relationship with community COVID-19 burden, ranging from a 13.2 percent decrease in patient volume in periods of low transmission to a 16.5 percent increase in volume in periods of high transmission. Overall, about 35 percent of rural hospitals experienced fluctuations exceeding 20 percent (in either direction) in average daily total volume, in contrast to only 13 percent of urban hospitals experiencing similar magnitudes of changes. Rural hospitals with a large change in average daily volume were more likely to be smaller, government-owned, and critical access hospitals and to have significantly lower operating margins. Our findings suggest that rural hospitals may have been more vulnerable operationally and financially to volume shifts during the pandemic, which warrants attention because of the potential impact on these hospitals' long-term sustainability.