Mitigating Health and Science Misinformation: A Scoping Review of Literature from 2017 to 2022.

Literature on how to address misinformation has rapidly expanded in recent years. The aim of this scoping review was to synthesize the growing published literature on health and science misinformation mitigation interventions. English-language articles published from January 2017 to July 2022 were included. After title/abstract screening, 115 publications (148 empirical studies) met inclusion criteria and were coded for sample characteristics, topics, mitigation strategies, research methods, outcomes, and intervention efficacy. A marked increase in misinformation mitigation research was observed in 2020-2022. COVID-19, vaccines, and climate change were the most frequently addressed topics. Most studies used general population samples recruited online; few focused on populations most vulnerable to misinformation. Most studies assessed cognitive outcomes (e.g., knowledge), with fewer assessing health behavior, communication behavior, or skills. Correction (k = 97) was the most used misinformation mitigation strategy, followed by education and other literacy initiatives (k = 39) and prebunking/inoculation (k = 24). Intervention efficacy varied, with 76 studies reporting positive, 17 reporting null, and 68 reporting mixed results. Most misinformation mitigation interventions were limited to short-term online experiments focused on improving cognitive outcomes. Priority research areas going forward include expanding and diversifying study samples, scaling interventions, conducting longitudinal observations, and focusing on communities susceptible to misinformation.

Contributions to Research and Practice Made by the National Cancer Institute's Health Communication and Informatics Research Branch.

The Health Communication and Informatics Research Branch at the U.S. National Cancer Institute was founded in 1999 in response to increasing evidence demonstrating a link between effective health communication and improved cancer-related outcomes and in recognition of the rapid and dramatic technological changes that were transforming health communication at the turn of the 21st century. For the past 25 years, the Health Communication and Informatics Research Branch has been conducting and supporting research at the forefront of emerging cancer communication trends and technologies, making numerous contributions to health communication science, public health, and cancer control practice. In this essay, we provide a brief history of the branch and the context that led to its establishment, discuss contributions made by the branch to health communication research and practice through key projects and initiatives, and conclude by highlighting health communication and informatics research priorities that offer opportunities for significant impact going forward in light of the challenges posed by the current communication environment.

Climate Change Harm Perception Among U.S. Adults in the NCI Health Information National Trends Survey, 2022.

PURPOSE: To examine associations between 1) sociodemographics and 2) trust in health information sources with climate change harm perception. METHODS: Weighted adjusted logistic regression models examined correlates of climate change harm perception (harm vs no harm/don't know) among a nationally representative sample of U.S. adults (2022, n = 5585). RESULTS: Sixty-four percent of U.S. adults believed climate change will harm their health. College education (vs high school or less) (AOR 1.7, 95% CI 1.3, 2.2) and having greater trust in doctors (AOR 1.4, 95% CI 1.2, 1.7), scientists (aOR 1.8, 95% CI 1.6, 2.0), and government health agencies (AOR 1.7, 95% CI 1.5, 1.9) for health information were associated with believing climate change harms health. Conversely, greater trust in religious organizations was associated with 16% lower odds of believing climate change harms health (95% CI .74, .94). CONCLUSIONS: Climate change harm perception varied by sociodemographics and trust in health information source. Health communication delivered via alternative and diverse channels could expand the reach of climate and health messaging and ultimately increase public awareness and support for measures to mitigate the health impacts of climate change.

Spatial Clustering of Tobacco Retailers Near US Public Schools.

INTRODUCTION: Previous studies have found that tobacco retailers cluster near schools. However, all retail outlets may be located near each other and near schools due to existing infrastructure and zoning policies. We assessed whether tobacco retailers cluster near schools in the United States more than expected when accounting for existing retail locations. AIMS AND METHODS: We identified 322 056 probable tobacco retailers, 95 110 public schools, and more than 3.8 million businesses comparable to tobacco retailers in land use and business type. We created 500 simulated tobacco retailer datasets by randomly selecting from the larger list of businesses. For each simulated dataset, we calculated the distance from schools to the nearest tobacco retailer (proximity) and the count of tobacco retailers within 800 m of schools (density). Observed proximity and density values were compared to 95% coverage intervals from the 500 simulations. We stratified analyses by urbanicity, percentage of students in the free and reduced-priced lunch program (FRLP), and percentage of Hispanic/Latino, non-Hispanic Black, and non-Hispanic white students. RESULTS: Tobacco retailers were closer to schools in rural areas, cities, and towns and more dense around schools in rural areas, cities, and suburbs compared to random locations in potential retail space. Schools with more students receiving FRLP had higher density than expected while schools with fewer students receiving FRLP had lower density than expected. Within rural areas, clustering did not vary across sociodemographic groups. Within non-rural areas, there were inequities in clustering by racial, ethnic, and socioeconomic school composition. CONCLUSIONS: Tobacco retailers cluster near schools after accounting for existing business patterns. There are inequities in clustering by sociodemographic school composition. IMPLICATIONS: This study provides compelling evidence that tobacco retailers cluster near US public schools and that there are racial, ethnic, and socioeconomic inequities in clustering, even when accounting for overall retail location patterns. Given that public schools tend to reflect neighborhood demographics, policies to limit tobacco retailers near schools may reduce both school-based and neighborhood-based inequities.

Digital Communication Inequalities Among U.S. Adults Reporting Current Cigarette Use.

INTRODUCTION: To reduce tobacco-related health problems, it is critical to reach people who smoke with smoking cessation information and treatment. However, digital communication inequalities may limit access to online information sources. METHODS: Digital device ownership, high-speed internet access, and online health information-seeking were examined among adults reporting current smoking in the Health Information National Trends Survey (n=847). Data were collected in 2019 and 2020 and analyzed in 2022. Multivariable logistic regression models examined associations between demographics, digital technology access, and online health information-seeking. RESULTS: Only 47.6% (95% CI 39.0%, 56.3%) of adults aged 65+, 54.2% of Black/African American adults (95% CI 37.8%, 69.8%), and 59.6% with high school or less education (95% CI 51.5%, 67.1%) reported high-speed internet access (vs. 74.0% overall, 95% CI 68.9%, 78.6%). Inequalities in device ownership, high-speed internet access, and online health information-seeking were found by education and income. Adults with high school or less education (vs. college or more) had 78% lower odds of digital device ownership (aOR 0.22, 95% CI 0.08, 0.59) and 75% lower odds of high-speed internet access (aOR 0.25, 95% CI 0.09, 0.71). High-speed internet access (vs. no digital device or high-speed internet) was associated with 4.9 times greater odds of online health information-seeking (95% CI 1.81, 13.4). CONCLUSIONS: Digital communication inequalities among adults who smoke exist. Understanding digital technology access among lower income populations could inform the development and delivery of interventions and health communication strategies to improve health outcomes among this population.

Using information technology to integrate tobacco use treatment in routine oncology care: Lessons learned from the U.S. Cancer Center Cessation Initiative Cancer Centers.

Background: Cancer patients who receive evidence-based tobacco-dependence treatment are more likely to quit and remain abstinent, but tobacco treatment programs (TTPs) are not consistently offered. In 2017, the U.S. National Cancer Institute, through the Cancer Moonshot, funded the Cancer Center Cessation Initiative (C3I). C3I supports 52 cancer centers to implement and expand evidence-based tobacco treatment in routine oncology care. Integration into routine care involves the use of health information technology (IT), including modifying electronic health records and clinical workflows. Here, we examine C3I cancer centers' IT leadership involvement and experiences in tobacco-dependence treatment implementation. Method: This qualitative study of C3I-funded cancer centers integrated data from online surveys and in-person, semistructured interviews with IT leaders. We calculated descriptive statistics of survey data and applied content analysis to interview transcripts. Results: Themes regarding IT personnel included suggestions to involve IT early, communicate regularly, understand the roles and influence of the IT team, and match program design with IT funding and resources. Themes regarding electronic health record (EHR) modifications included beginning modifications early to account for long lead time to make changes, working with IT to identify and adapt existing EHR tools for TTP or designing tools that will support a desired workflow developed with end-users, and working with IT personnel to make sure TTPs comply with system and state policies (e.g., privacy laws). Conclusions: The experiences of C3I cancer centers regarding the use of health IT to enhance tobacco-dependence treatment program implementation can guide cancer centers and community oncology practices to potentially enhance TTP implementation and patient outcomes.

Almost a quarter of patients first diagnosed with cancer report current cigarette smoking. There are tobacco treatment programs (TTPs) that effectively help patients quit smoking to improve cancer treatment response, survival, and quality-of-life. In 2017, the U.S. National Cancer Institute (NCI) funded the Cancer Center Cessation Initiative (C3I) and supported 52 cancer centers to implement these TTPs. A key component of these programs is the information technology (IT) necessary to refer patients to the program and document their progress. As coordinators of C3I, our team conducted interviews with IT leaders at these cancer centers to learn about the implementation of the programs. IT leaders suggested that IT teams be involved early in the program implementation process and that leaders communicate with the IT team regularly to address necessary changes to referral and documentation systems. IT teams are important to involve early and regularly throughout the TTP implementation process because they have unique knowledge of how funding, policy, and existing technological tools will impact the implementation and success of the program. Our findings emphasize the importance of involving IT teams early in the planning process for such programs. Studies such as this focusing on the experiences and knowledge of specific team members, such as the IT team, enhance tobacco-dependence treatment program implementation and can guide cancer centers and community oncology practices to implement these programs to improve patient outcomes.

Changes in retail tobacco product sales and market share among retail payroll establishments in the U.S. Economic Census between 1997 and 2017.

The tobacco industry spends the vast majority of their marketing and promotional budget at retail outlets. However, few studies have used publicly available data to examine trends in the number and types of retail establishments where tobacco products are sold. Using the U.S. Economic Census for 1997, 2002, 2007, 2012 and 2017 (the latest year), we examined the number, type, and sales of payroll establishments selling tobacco products. Nine store types accounted for 94% - 99% of tobacco product sales between 1997 and 2017. Gas/convenience stores had the greatest market share (33% - 49% of tobacco sales). The number of warehouse clubs selling tobacco quadrupled; however, market share only increased from 9.6% to 10.3%. Supermarkets experienced the largest decrease in percent of stores selling tobacco. Pharmacy tobacco sales increased in 2012 then decreased in 2017; per store sales volume more than doubled between 1997 and 2012. Online shopping accounted for less than 1% of the market share between 1997 and 2012, but rose to 6.3% in 2017. Between 1997 and 2017, consumers shifted where they purchased tobacco products. Declining tobacco sales in supermarkets is a promising trend for consumers seeking healthy food without exposure to tobacco product marketing; however, the consistently large number of tobacco retailers, and thus widespread tobacco availability, is concerning. Consumer tobacco purchase changes over time support the case for point-of-sale policies that affect different retail types, including pharmacy bans, to reduce tobacco retailer density. Additionally, the rapid shift to online tobacco purchasing in 2017 identifies a new target for enhanced regulation and enforcement.

Data envelopment analysis to evaluate the efficiency of tobacco treatment programs in the NCI Moonshot Cancer Center Cessation Initiative.

BACKGROUND: The Cancer Center Cessation Initiative (C3I) is a National Cancer Institute (NCI) Cancer Moonshot Program that supports NCI-designated cancer centers developing tobacco treatment programs for oncology patients who smoke. C3I-funded centers implement evidence-based programs that offer various smoking cessation treatment components (e.g., counseling, Quitline referrals, access to medications). While evaluation of implementation outcomes in C3I is guided by evaluation of reach and effectiveness (via RE-AIM), little is known about technical efficiency-i.e., how inputs (e.g., program costs, staff time) influence implementation outcomes (e.g., reach, effectiveness). This study demonstrates the application of data envelopment analysis (DEA) as an implementation science tool to evaluate technical efficiency of C3I programs and advance prioritization of implementation resources. METHODS: DEA is a linear programming technique widely used in economics and engineering for assessing relative performance of production units. Using data from 16 C3I-funded centers reported in 2020, we applied input-oriented DEA to model technical efficiency (i.e., proportion of observed outcomes to benchmarked outcomes for given input levels). The primary models used the constant returns-to-scale specification and featured cost-per-participant, total full-time equivalent (FTE) effort, and tobacco treatment specialist effort as model inputs and reach and effectiveness (quit rates) as outcomes. RESULTS: In the DEA model featuring cost-per-participant (input) and reach/effectiveness (outcomes), average constant returns-to-scale technical efficiency was 25.66 (SD = 24.56). When stratified by program characteristics, technical efficiency was higher among programs in cohort 1 (M = 29.15, SD = 28.65, n = 11) vs. cohort 2 (M = 17.99, SD = 10.16, n = 5), with point-of-care (M = 33.90, SD = 28.63, n = 9) vs. no point-of-care services (M = 15.59, SD = 14.31, n = 7), larger (M = 33.63, SD = 30.38, n = 8) vs. smaller center size (M = 17.70, SD = 15.00, n = 8), and higher (M = 29.65, SD = 30.99, n = 8) vs. lower smoking prevalence (M = 21.67, SD = 17.21, n = 8). CONCLUSION: Most C3I programs assessed were technically inefficient relative to the most efficient center benchmark and may be improved by optimizing the use of inputs (e.g., cost-per-participant) relative to program outcomes (e.g., reach, effectiveness). This study demonstrates the appropriateness and feasibility of using DEA to evaluate the relative performance of evidence-based programs.

Uncertainty: a neglected determinant of health behavior?

Health behaviors are critical determinants of the well-being of individuals and populations, and understanding the determinants of these behaviors has been a major focus of research. One important determinant that has received little direct attention in past health research is uncertainty: a complex phenomenon that pertains not only to scientific issues regarding the diagnosis, prognosis, prevention, and treatment of health problems, but also to personal issues regarding other important health-related concerns. Here, we make the case for greater attention to uncertainty in health behavior theory and research, and especially to personal uncertainties. We discuss three exemplary types of personal uncertainty-value uncertainty, capacity uncertainty, and motive uncertainty-which relate, respectively, to moral values, capacities to enact or change behaviors, and the motives and intentions of other persons or institutions. We argue that that personal uncertainties such as these influence health behaviors, but their influence has historically been obscured by a focus on other constructs such as self-efficacy and trust. Reconceptualizing and investigating health behavior as a problem of uncertainty can advance both our understanding of the determinants of healthy behaviors and our ability to promote them.

Climate Change and Cancer.

Climate change, the greatest threat to human health of our time, has implications for cancer control efforts throughout the cancer care continuum. The direct and indirect impacts of climate change on cancer risk, access to care, and outcomes are numerous and compounding, yet many oncology professionals might not be familiar with the strong connection between climate change and cancer. Thus, to increase awareness of this topic among cancer researchers, practitioners, and other professionals, this commentary discusses the links between climate change and cancer prevention and control, provides examples of adaptation and mitigation efforts, and describes opportunities and resources for future research.

Understanding Associations of Personal Values With Support for Tobacco and Alcohol Control Policies.

INTRODUCTION: This cross-sectional analysis of the 2020 Health Information National Trends Survey (N=3,604) examines the associations of personal values with tobacco and alcohol control policy support, which may inform policy-related communication efforts. METHODS: Respondents selected which of 7 value options they considered most important in their daily life and rated their support for 8 proposed tobacco and alcohol control policies (1=strongly oppose, 5=strongly support). Weighted proportions for each value were described across sociodemographic characteristics, smoking status, and alcohol use. Weighted bivariate and multivariable regressions tested the associations of values with mean policy support (alpha=0.89). Analyses occurred from 2021 to 2022. RESULTS: The most frequently selected values were assuring my family is safe and secure (30.2%), being happy (21.1%), and making my own decisions (13.6%). Selected values varied across sociodemographic and behavioral characteristics. For example, people with lower education and incomes were overrepresented among those selecting making my own decisions and keeping myself in good health. After adjusting for sociodemographics, smoking, and alcohol use, people selecting family safety (ß=0.20, 95% CI=0.06, 0.33) or religious connection (ß=0.34, 95% CI=0.14, 0.54) as most important reported higher policy support than those selecting making their own decisions, the value associated with the lowest mean policy support. Mean policy support did not significantly differ across any other value comparisons. CONCLUSIONS: Personal values are associated with support for alcohol and tobacco control policies, with making my own decisions associated with the lowest policy support. Future research and communication efforts may consider aligning tobacco and alcohol control policies with the idea of supporting autonomy.

The Impact of the COVID-19 Pandemic on Tobacco Treatment Program Implementation at National Cancer Institute-Designated Cancer Centers.

INTRODUCTION: The COVID-19 pandemic disrupted cancer screening and treatment delivery, but COVID-19's impact on tobacco cessation treatment for cancer patients who smoke has not been widely explored. AIMS AND METHODS: We conducted a sequential cross-sectional analysis of data collected from 34 National Cancer Institute (NCI)-designated cancer centers participating in NCI's Cancer Center Cessation Initiative (C3I), across three reporting periods: one prior to COVID-19 (January-June 2019) and two during the pandemic (January-June 2020, January-June 2021). Using McNemar's Test of Homogeneity, we assessed changes in services offered and implementation activities over time. RESULTS: The proportion of centers offering remote treatment services increased each year for Quitline referrals (56%, 68%, and 91%; p = .000), telephone counseling (59%, 79%, and 94%; p = .002), and referrals to Smokefree TXT (27%, 47%, and 56%; p = .006). Centers offering video-based counseling increased from 2020 to 2021 (18% to 59%; p = .006), Fewer than 10% of centers reported laying off tobacco treatment staff. Compared to early 2020, in 2021 C3I centers reported improvements in their ability to maintain staff and clinician morale, refer to external treatment services, train providers to deliver tobacco treatment, and modify clinical workflows. CONCLUSIONS: The COVID-19 pandemic necessitated a rapid transition to new telehealth program delivery of tobacco treatment for patients with cancer. C3I cancer centers adjusted rapidly to challenges presented by the pandemic, with improvements reported in staff morale and ability to train providers, refer patients to tobacco treatment, and modify clinical workflows. These factors enabled C3I centers to sustain evidence-based tobacco treatment implementation during and beyond the COVID-19 pandemic. IMPLICATIONS: This work describes how NCI-designated cancer centers participating in the Cancer Center Cessation Initiative (C3I) adapted to challenges to sustain evidence-based tobacco use treatment programs during the COVID-19 pandemic. This work offers a model for resilience and rapid transition to remote tobacco treatment services delivery and proposes a policy and research agenda for telehealth services as an approach to sustaining evidence-based tobacco treatment programs.

Integrating Tobacco Treatment Into Oncology Care: Reach and Effectiveness of Evidence-Based Tobacco Treatment Across National Cancer Institute-Designated Cancer Centers.

PURPOSE: Quitting smoking improves patients' clinical outcomes, yet smoking is not commonly addressed as part of cancer care. The Cancer Center Cessation Initiative (C3I) supports National Cancer Institute-designated cancer centers to integrate tobacco treatment programs (TTPs) into routine cancer care. C3I centers vary in size, implementation strategies used, and treatment approaches. We examined associations of these contextual factors with treatment reach and smoking cessation effectiveness. METHODS: This cross-sectional study used survey data from 28 C3I centers that reported tobacco treatment data during the first 6 months of 2021. Primary outcomes of interest were treatment reach (reach)-the proportion of patients identified as currently smoking who received at least one evidence-based tobacco treatment component (eg, counseling and pharmacotherapy)-and smoking cessation effectiveness (effectiveness)-the proportion of patients reporting 7-day point prevalence abstinence at 6-month follow-up. Center-level differences in reach and effectiveness were examined by center characteristics, implementation strategies, and tobacco treatment components. RESULTS: Of the total 692,662 unique patients seen, 44,437 reported current smoking. Across centers, a median of 96% of patients were screened for tobacco use, median smoking prevalence was 7.4%, median reach was 15.4%, and median effectiveness was 18.4%. Center-level characteristics associated with higher reach included higher smoking prevalence, use of center-wide TTP, and lower patient-to-tobacco treatment specialist ratio. Higher effectiveness was observed at centers that served a larger overall population and population of patients who smoke, reported a higher smoking prevalence, and/or offered electronic health record referrals via a closed-loop system. CONCLUSION: Whole-center TTP implementation among inpatients and outpatients, and increasing staff-to-patient ratios may improve TTP reach. Designating personnel with tobacco treatment expertise and resources to increase tobacco treatment dose or intensity may improve smoking cessation effectiveness.

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin.

BACKGROUND: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. METHODS: Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined. RESULTS: 6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90). CONCLUSIONS: Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types. IMPACT: This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study.

INTRODUCTION: Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. METHODS: Electronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission. RESULTS: Current (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06-1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04-1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50-0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16-0.66) and former smokers (aOR, 0.47; 95% CI, 0.39-0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66-0.83) than never smokers (aOR, 0.87; 95% CI, 0.79-0.97). CONCLUSIONS: Former but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers. IMPLICATIONS: Prior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.

The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems.

MAIN OBJECTIVE: There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. STUDY DESIGN AND METHODS: University of Wisconsin researchers collected and harmonized electronic health record data from 1.1 million COVID-19 patients across 21 United States health systems from February 2020 through September 2021. The analysis comprised data from 104,590 adult hospitalized COVID-19 patients. Inclusion criteria for the analysis were: (1) age 18 years or older; (2) COVID-19 ICD-10 diagnosis during hospitalization and/or a positive COVID-19 PCR test in a 14-day window (+/- 7 days of hospital admission); and (3) health system contact prior to COVID-19 hospitalization. Outcomes assessed were: (1) mortality (primary), (2) endotracheal intubation, and (3) ICU admission. RESULTS AND SIGNIFICANCE: The 104,590 hospitalized participants had a mean age of 61.7 years and were 50.4% female, 24% Black, and 56.8% White. Overall risk-standardized mortality (adjusted for age, sex, race, ethnicity, body mass index, insurance status and medical comorbidities) declined from 16% of hospitalized COVID-19 patients (95% CI: 16% to 17%) early in the pandemic (February-April 2020) to 9% (CI: 9% to 10%) later (July-September 2021). Among subpopulations, males (vs. females), those on Medicare (vs. those on commercial insurance), the severely obese (vs. normal weight), and those aged 60 and older (vs. younger individuals) had especially high mortality rates both early and late in the pandemic. ICU admission and intubation rates also declined across these 20 months. CONCLUSIONS: Mortality, intubation, and ICU admission rates improved markedly over the first 20 months of the pandemic among adult hospitalized COVID-19 patients although gains varied by subpopulation. These data provide important information on the course of COVID-19 and identify hospitalized patient groups at heightened risk for negative outcomes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04506528 (https://clinicaltrials.gov/ct2/show/NCT04506528).

Operationalizing Leadership and Clinician Buy-In to Implement Evidence-Based Tobacco Treatment Programs in Routine Oncology Care: A Mixed-Method Study of the U.S. Cancer Center Cessation Initiative.

BACKGROUND: Delivering evidence-based tobacco dependence treatment in oncology settings improves smoking abstinence and cancer outcomes. Leadership engagement/buy-in is critical for implementation success, but few studies have defined buy-in or described how to secure buy-in for tobacco treatment programs (TTPs) in cancer care. This study examines buy-in during the establishment of tobacco treatment programs at National Cancer Institute (NCI)-designated cancer centers. METHODS: We utilized a sequential, explanatory mixed-methods approach to analyze quantitative data and qualitative interviews with program leads in the U.S.-based NCI Moonshot-supported Cancer Center Cessation Initiative (n = 20 Centers). We calculated descriptive statistics and applied structural coding and content analysis to qualitative data. RESULTS: At least 75% of participating centers secured health care system administrative, clinical, and IT leadership buy-in and support. Six themes emerged from interviews: engaging leadership, access to resources, leveraging federal funding support to build leadership interest, designating champions, identifying training needs, and ensuring staff roles and IT systems support workflows. CONCLUSIONS: Buy-in among staff and clinicians is defined by the belief that the TTP is necessary, valuable, and evidence based. Recognizing and securing these dimensions of buy-in can facilitate implementation success, leading to improved cancer outcomes.

Preconditioning by voluntary wheel running attenuates later neuropathic pain via nuclear factor E2-related factor 2 antioxidant signaling in rats.

ABSTRACT: Animal and human studies have shown that exercise prior to nerve injury prevents later chronic pain, but the mechanisms of such preconditioning remain elusive. Given that exercise acutely increases the formation of free radicals, triggering antioxidant compensation, we hypothesized that voluntary running preconditioning would attenuate neuropathic pain by supporting redox homeostasis after sciatic nerve injury in male and female rats. We show that 6 weeks of voluntary wheel running suppresses neuropathic pain development induced by chronic constriction injury across both sexes. This attenuation was associated with reduced nitrotyrosine immunoreactivity-a marker for peroxynitrite-at the sciatic nerve injury site. Our data suggest that prior voluntary wheel running does not reduce the production of peroxynitrite precursors, as expression levels of inducible nitric oxide synthase and NADPH oxidase 2 were unchanged. Instead, voluntary wheel running increased superoxide scavenging by elevating expression of superoxide dismutases 1 and 2. Prevention of neuropathic pain was further associated with the activation of the master transcriptional regulator of the antioxidant response, nuclear factor E2-related factor 2 (Nrf2). Six weeks of prior voluntary wheel running increased Nrf2 nuclear translocation at the sciatic nerve injury site; in contrast, 3 weeks of prior wheel running, which failed to prevent neuropathic pain, had no effect on Nrf2 nuclear translocation. The protective effects of prior voluntary wheel running were mediated by Nrf2, as suppression was abolished across both sexes when Nrf2 activation was blocked during the 6-week running phase. This study provides insight into the mechanisms by which physical activity may prevent neuropathic pain. Preconditioning by voluntary wheel running, terminated prior to nerve injury, suppresses later neuropathic pain in both sexes, and it is modulated through the activation of Nrf2-antioxidant signaling.

Reach and effectiveness of the NCI Cancer Moonshot-funded Cancer Center Cessation Initiative.

Smoking cessation results in improved cancer treatment outcomes. However, the factors associated with successful implementation of cessation programs in cancer care settings are not well understood. This paper presents the reach the reach and effectiveness of cessation programs implemented in NCI-Designated Cancer Centers in the Cancer Center Cessation Initiative (C3I). An observational, cross-sectional study was conducted among C3I Cancer Centers from July 1, 2019 and December 31, 2019 (N = 38). Reach was calculated as the proportion of patients reporting current smoking that received cessation treatment and was analyzed overall and by organizational characteristics. Smoking abstinence rates were determined by the proportion of participants self-reporting smoking abstinence in the previous 7 and 30 days at 6 months after treatment. On average, nearly 30% of patients who smoked received any cessation treatment. In-person counseling was most implemented but reached an average of only 13.2% of patients who smoked. Although less frequently implemented, average reach was highest for counseling provided via an interactive voice response system (55.8%) and telephone-based counseling (18.7%). Reach was higher at centers with more established programs, electronic health record referral systems, and higher smoking prevalence. At 6-month follow-up, about a fifth of participants on average had not smoked in the past 7 days (21.7%) or past 30 days (18.6%). Variations in reach by organizational characteristics suggest that leadership engagement and investment in technology-facilitated programs may yield higher levels of reach. Understanding which implementation and intervention strategies facilitate greater cessation treatment reach and effectiveness could lead to improved outcomes among cancer patients who smoke.