Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.

OBJECTIVES: We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (LINK-HF2). MATERIALS AND METHODS: A mixed-method analysis was conducted at 2 pilot sites. Interviews were conducted with 12 of 27 enrolled patients and with 13 participating clinicians. iPARIHS constructs were used for interview construction to identify workflow, communication patterns, and clinician's beliefs. Interviews were transcribed and analyzed using inductive coding protocols to identify key themes. Behavioral response data from the AI-generated notifications were collected. RESULTS: Clinicians responded to notifications within 24 hours in 95% of instances, with 26.7% resulting in clinical action. Four implementation themes emerged: (1) High anticipatory expectations for reliable patient communications, reduced patient burden, and less proactive provider monitoring. (2) The AI notifications required a differential and tailored balance of trust and action advice related to role. (3) Clinic experience with other home-based programs influenced utilization. (4) Responding to notifications involved significant effort, including electronic health record (EHR) review, patient contact, and consultation with other clinicians. DISCUSSION: Clinician's use of AI data is a function of beliefs regarding the trustworthiness and usefulness of the data, the degree of autonomy in professional roles, and the cognitive effort involved. CONCLUSION: The implementation planning analysis guided development of strategies that addressed communication technology, patient education, and EHR integration to reduce clinician and patient burden in the subsequent main randomized phase of the trial. Our results provide important insights into the unique implications of implementing AI analytics into clinical workflow.

Deportation threat predicts Latino US citizens and noncitizens' psychological distress, 2011 to 2018.

The national context of deportation threat, defined as the federal government's approach to deportation and/or deportation's salience to the US public, fluctuated between 2011 and 2018. US Latinos across citizenship statuses may have experienced growing psychological distress associated with these changes, given their disproportionate personal or proximal vulnerabilities to deportation. Drawing on 8 y of public- and restricted-access data from the National Health Interview Survey (2011 to 2018), this article examines trends in psychological distress among Latinos who are US-born citizens, naturalized citizens, and noncitizens. It then seeks to explain these trends by considering two theoretical pathways through which the national context of deportation threat could distress Latinos: 1) through discrete dramatic societal events that independently signal a change to the country's approach to deportation and/or that render deportation temporarily more salient to the public or 2) through more gradual changes to the country's everyday institutional (i.e., quotidian efforts to detain and deport noncitizens) and social (i.e., deportation's ongoing salience to a concerned public) environment of deportation threat. We find that, though both pathways matter to some degree, there is more consistent evidence that the gradual changes are associated with Latino US citizens and noncitizens' overall experiences of psychological distress. The article highlights how, even absent observable spillover effects of dramatic societal events bearing on deportation threat, the institutional and social environment in which they occur implicates Latinos' well-being.

Power to Detect What? Considerations for Planning and Evaluating Sample Size.

ACADEMIC ABSTRACT: In the wake of the replication crisis, social and personality psychologists have increased attention to power analysis and the adequacy of sample sizes. In this article, we analyze current controversies in this area, including choosing effect sizes, why and whether power analyses should be conducted on already-collected data, how to mitigate the negative effects of sample size criteria on specific kinds of research, and which power criterion to use. For novel research questions, we advocate that researchers base sample sizes on effects that are likely to be cost-effective for other people to implement (in applied settings) or to study (in basic research settings), given the limitations of interest-based minimums or field-wide effect sizes. We discuss two alternatives to power analysis, precision analysis and sequential analysis, and end with recommendations for improving the practices of researchers, reviewers, and journal editors in social-personality psychology. PUBLIC ABSTRACT: Recently, social-personality psychology has been criticized for basing some of its conclusions on studies with low numbers of participants. As a result, power analysis, a mathematical way to ensure that a study has enough participants to reliably "detect" a given size of psychological effect, has become popular. This article describes power analysis and discusses some controversies about it, including how researchers should derive assumptions about effect size, and how the requirements of power analysis can be applied without harming research on hard-to-reach and marginalized communities. For novel research questions, we advocate that researchers base sample sizes on effects that are likely to be cost-effective for other people to implement (in applied settings) or to study (in basic research settings). We discuss two alternatives to power analysis, precision analysis and sequential analysis, and end with recommendations for improving the practices of researchers, reviewers, and journal editors in social-personality psychology.

Invoking Identity? Partisan Polarization in Discussions of Race, Racism, and Gender in 2022 Midterm Advertising in the U.S.

CONTEXT: Media messaging matters for public opinion and policy, and analyzing patterns of campaign strategy can provide important windows into policy priorities. METHODS: We used content analysis supplemented with keyword-based text analysis to assess the volume, proportion and distribution of attention to race-related issues in comparison to gender-related issues during the general election period of the 2022 midterm campaigns for federal office. FINDINGS: Race-related mentions were overwhelmingly focused on crime and law and order with very little attention to racism, racial injustice, and the structural barriers that lead to widespread inequities. In stark contrast to mentions of gender, racial appeals were less identity focused and were competitively contested between the parties in their messaging, but much more likely to be led by Republicans. CONCLUSIONS: Our results suggest that discussion of race and gender were highly polarized with consequences for public understanding of and belief in disparities and policies important to population health.

The Effect of Matrix Metalloproteinase Inhibitors on the Microtensile Bond Strength of Dentin Bonding Agents in Caries Affected Dentin: A Systematic Review.

Aims and Objectives: Matrix metalloproteinases (MMPs) cause degradation of the dentinal matrix, as they act actively on collagen fibrils, leading to their deterioration and collapse. MMP inhibitors are known to be used for the pre-treatment of human dentin before bonding. Most studies on the MMP inhibitors examined the effect of MMP inhibitors on bonding to sound dentin (SD), but few examine their effect on bonding to caries affected dentin (CAD). This systematic review aims to identify and summarize studies that have applied MMP inhibitors for pre-treatment of CAD, and examine the microtensile bond strength (µTBS), bond durability, and the mode of failure. Materials and Methods: A systematic review was performed using the PubMed database according to the PRISMA guidelines. A total of 785 original articles published between 2010 and 2022 were initially retrieved. Six studies were selected based on predefined inclusion-exclusion criteria, and their outcomes were extracted and analyzed. The methodological quality assessment was performed using a combined checklist that utilizes the reporting criteria mentioned in the checklist for reporting in-vitro studies guidelines and guidelines for reporting pre-clinical in vitro studies on dental materials. Results: All six studies included here showed a definitive increase of the µTBS when MMP inhibitors were applied to the CAD. The mode of failure was found to be predominantly adhesive in nature. The deviation in the values of µTBS was approximately 2-5 MPa on immediate and delayed testing. Conclusion: MMP-inhibiting agents could be considered for the pretreatment of teeth with CAD as a part of their tooth preparation area, thereby allowing the clinician to retain CAD and bond to the CAD without endangering the vital pulp.

Static Guided Endodontic Approach for Pulp Canal Obliteration: A Case Report.

Traumatic injuries to the permanent dentition have deleterious sequelae if not treated adequately. In luxation injuries, it has been observed that tertiary dentin apposition may occur and can lead to calcification and closure of the pulp space. This is commonly referred to as pulp canal calcification or pulp canal obliteration. This often presents a challenge to clinicians when endodontic treatment is indicated. Static guided endodontic therapy has been advocated in such cases and has been successfully employed as a treatment strategy in recent years. This involves the design and fabrication of a digital stent, which serves as a guide for the clinician and provides a straight path to the targeted tissue site. This article reports a case of pulp canal obliteration secondary to a luxation injury sustained due to a vehicular accident. The case was treated using the static guided endodontic approach to achieve a minimal direct access to the targeted pulp chamber space.

Identities, drinking behaviors and cancer beliefs among African-American and White American adults: A qualitative analysis.

BACKGROUND: Alcohol consumption is causally linked to multiple cancers. African-Americans are at greater risk of cancer than other demographic groups and suffer more serious consequences. Awareness and knowledge of the alcohol-cancer link are low, especially among African-Americans compared to other racial/ethnic groups. This study built on the theory of identity-based motivation (TIBM) to explore how people think about alcohol consumption in relation to their social identities and beliefs about cancer. METHODS: Data come from 20 in-depth interviews with current drinkers (10 White and 10 African-American adults) in a major mid-Atlantic city in the summer of 2021, using race- and gender-concordant interviewers. An abductive and iterative approach identified salient themes about how drinkers thought about alcohol, social identities, and cancer. RESULTS: While most participants discussed alcohol use as an important part of American culture, African-American participants were more likely to discuss drinking as a way to cope with racism and other hardships. Participants also noted the need to address structural issues that would make it difficult to cut back on drinking. Both White and African-American participants talked about stressors in life that drive them to drink and make cutting back difficult, and African-American participants discussed how the location of liquor stores in their neighborhoods made alcohol too readily available. CONCLUSIONS: Insights from these interviews confirm the relevance of racial and other identities in shaping responses to alcohol-cancer messaging, and emphasize the need to consider both behavior change and policy change to create supportive environments for such changes.

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b.

Close-in giant exoplanets with temperatures greater than 2,000 K ('ultra-hot Jupiters') have been the subject of extensive efforts to determine their atmospheric properties using thermal emission measurements from the Hubble Space Telescope (HST) and Spitzer Space Telescope1-3. However, previous studies have yielded inconsistent results because the small sizes of the spectral features and the limited information content of the data resulted in high sensitivity to the varying assumptions made in the treatment of instrument systematics and the atmospheric retrieval analysis3-12. Here we present a dayside thermal emission spectrum of the ultra-hot Jupiter WASP-18b obtained with the NIRISS13 instrument on the JWST. The data span 0.85 to 2.85 µm in wavelength at an average resolving power of 400 and exhibit minimal systematics. The spectrum shows three water emission features (at >6σ confidence) and evidence for optical opacity, possibly attributable to H-, TiO and VO (combined significance of 3.8σ). Models that fit the data require a thermal inversion, molecular dissociation as predicted by chemical equilibrium, a solar heavy-element abundance ('metallicity', [Formula: see text] times solar) and a carbon-to-oxygen (C/O) ratio less than unity. The data also yield a dayside brightness temperature map, which shows a peak in temperature near the substellar point that decreases steeply and symmetrically with longitude towards the terminators.

Climate change and health equity: A research agenda for psychological science.

Climate change poses unique and substantial threats to public health and well-being, from heat stress, flooding, and the spread of infectious disease to food and water insecurity, conflict, displacement, and direct health hazards linked to fossil fuels. These threats are especially acute for frontline communities. Addressing climate change and its unequal impacts requires psychologists to consider temporal and spatial dimensions of health, compound risks, as well as structural sources of vulnerability implicated by few other public health challenges. In this review, we consider climate change as a unique context for the study of health inequities and the roles of psychologists and health care practitioners in addressing it. We conclude by discussing the research infrastructure needed to broaden current understanding of these inequities, including new cross-disciplinary, institutional, and community partnerships, and offer six practical recommendations for advancing the psychological study of climate health equity and its societal relevance. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Strategic Messaging to Promote Policies that Advance Racial Equity: What Do We Know, and What Do We Need to Learn?

Policy Points Many studies have explored the impact of message strategies to build support for policies that advance racial equity, but few studies examine the effects of richer stories of lived experience and detailed accounts of the ways racism is embedded in policy design and implementation. Longer messages framed to emphasize social and structural causes of racial inequity hold significant potential to enhance support for policies to advance racial equity. There is an urgent need to develop, test, and disseminate communication interventions that center perspectives from historically marginalized people and promote policy advocacy, community mobilization, and collective action to advance racial equity. CONTEXT: Long-standing racial inequities in health and well-being are shaped by racialized public policies that perpetuate disadvantage among Black, Brown, Indigenous, and people of color. Strategic messaging can accelerate public and policymaker support for public policies that advance population health. We lack a comprehensive understanding of lessons learned from work on policy messaging to advance racial equity and the gaps in knowledge it reveals. METHODS: A scoping review of peer-reviewed studies from communication, psychology, political science, sociology, public health, and health policy that have tested how various message strategies influence support and mobilization for racial equity policy domains across a wide variety of social systems. We used keyword database searches, author bibliographic searches, and reviews of reference lists from relevant sources to compile 55 peer-reviewed papers with 80 studies that used experiments to test the effects of one or more message strategies in shaping support for racial equity-related policies, as well as the cognitive/emotional factors that predict their support. FINDINGS: Most studies report on the short-term effects of very short message manipulations. Although many of these studies find evidence that reference to race or use of racial cues tend to undermine support for racial equity-related policies, the accumulated body of evidence has generally not explored the effects of richer, more nuanced stories of lived experience and/or detailed historical and contemporary accounts of the ways racism is embedded in public policy design and implementation. A few well-designed studies offer evidence that longer-form messages framed to emphasize social and structural causes of racial inequity can enhance support for policies to advance racial equity, though many questions require further research. CONCLUSIONS: We conclude by laying out a research agenda to fill numerous wide gaps in the evidentiary base related to building support for racial equity policy across sectors.

Social Media Campaigns to Influence Alcohol Consumption and Related Harms, Attitudes, and Awareness: A Systematic Review.

OBJECTIVE: Given social media's reach and potential, a systematic review is needed to assess their effectiveness in influencing alcohol consumption and related harms, attitudes, and awareness. METHOD: We searched 12 databases from inception to December 2022, along with reference lists of eligible studies. We included studies of any design conducted in any country, reported in English, evaluating campaigns using social media alone or in combination with other media. We assessed study quality, extracted data, and completed a narrative synthesis. RESULTS: Eleven of 6,442 unique studies met inclusion criteria, spanning 17 countries, targeting diverse populations, and predominantly using repeated cross-sectional study designs. Most were of weak quality. Only three studies evaluated campaigns relying solely or primarily on social media. Two drink-driving campaigns had no behavioral impact, whereas two others found behavior change. Two of three studies targeting college student drinking found significant reductions in drinking after the campaign, but a third detected no differences in quality or duration of drinking. Only one study measured changes in attitudes, finding that the campaign significantly increased policy support for key alcohol policies. All studies noted awareness, but only six quantified short-term measures, showing increased campaign awareness. CONCLUSIONS: It is unclear from the peer-reviewed literature whether public health-oriented social media campaigns can influence alcohol consumption and related harms, attitudes, and/or awareness. Our review nevertheless indicates that social media campaigns offer potential in some populations to influence these outcomes. There is an urgent need for the public health field to test and rigorously evaluate social media's utility as a vehicle for influencing population-level alcohol consumption and related problems, attitudes, and awareness.

Local TV News Coverage of Racial Disparities in COVID-19 During the First Wave of the Pandemic, March-June 2020.

The COVID-19 pandemic has disproportionately impacted health and social outcomes for people of color in the United States. This study examined how local TV news stories attributed causes and solutions for COVID-19-related racial health and social disparities, and whether coverage of such disparities changed after George Floyd's murder, during the first wave of the COVID-19 pandemic. We systematically validated keywords to extract relevant news content and conducted a content analysis of 169 discrete local TV news stories aired between March and June 2020 from 80 broadcast networks within 22 purposefully selected media markets. We found that social determinants of COVID-19 related racial disparities have been part of the discussion in local TV news, but racism as a public health crisis was rarely mentioned. Coverage of racial disparities focused far more attention on physical health outcomes than broader social impacts. Stories cited more structural factors than individual factors, as causes of these disparities. After the murder of George Floyd, stories were more likely to mention Black and Latinx people than other populations impacted by COVID-19. Only 9% of local news stories referenced racism, and stories referenced politicians more frequently than public health experts.

How Do People Come to Judge What Is "Reasonable"? Effects of Legal and Sociological Systems on Human Psychology.

How do people decide what is reasonable? People often have to make those judgments, judgments that can influence tremendously consequential decisions-such as whether to indict someone in a legal proceeding. In this article, we take a situated cognition lens to review and integrate findings from social psychology, judgment and decision-making, communication, law, and sociology to generate a new framework for conceptualizing judgments of reasonableness and their implications for how people make decisions, particularly in the context of the legal system. We theorize that differences in structural and social contexts create information asymmetries that shape people's priors about what is and is not reasonable and how they update their priors in the face of new information. We use the legal system as a context for exploring the implications of the framework for both individual and collective decision-making and for considering the practical implications of the framework for inequities in law and social policy.

Universities claim to value community-engaged scholarship: So why do they discourage it?

With current crises of academic relevance and legitimacy, there is a need for epistemic equity inherent to community-engaged research. Scholars in science communication and science and technology studies have analyzed, advocated for, and conducted public engagement in pursuit of this goal. However, despite desires to celebrate public engagement, US academic institutions and organizations often present barriers to meaningful community-engaged research. From tenure and promotion requirements, to lack of recognition and resources, universities in the American academic landscape are not currently organized to support such work. In this article, we offer a conceptual framework to examine the complex structural dimensions of academic institutions that have systematically discouraged and devalued faculty participation in community-engaged scholarship. We outline four such structural dimensions: interrogating epistemic biases, neoliberalist tendencies, gendered norms, and colonial-racist defaults. Our goal is to illuminate processes that could inform interventions to bridge the gap between academic aspirations for community-engaged work and current actions in the academy that undermine it.

What would make cognitive science more useful?

What would make cognitive science more useful? In this essay, I argue that the cognitive sciences could advance theories and be more useful to society if they devoted more effort to conducting research in ways that include a more diverse set of participants and stakeholders than they have historically.

The unbearable limitations of solo science: Team science as a path for more rigorous and relevant research.

Both early social psychologists and the modern, interdisciplinary scientific community have advocated for diverse team science. We echo this call and describe three common pitfalls of solo science illustrated by the target article. We discuss how a collaborative and inclusive approach to science can both help researchers avoid these pitfalls and pave the way for more rigorous and relevant research.