Partisan divide and Racial/Ethnic disparities in COVID-19 vaccine hesitancy among Parents/Guardians and vaccine uptake among children in the U.S.

OBJECTIVES: We undertook an observational study to assess the impact of state-level partisanship and parents'/guardians' race/ethnicity on their degree of COVID-19 vaccine hesitancy. MATERIAL AND METHODS: We observed a pooled cross-section of 59,280 U.S. adults residing with children in the same household between June 29 and November 14, 2022. Using household-weighted logistic regression models, we evaluated the association between partisanship, race/ethnicity, and vaccine hesitancy, while controlling for other social determinants of COVID-19 vaccine hesitancy. RESULTS AND CONCLUSIONS: We found that children were less likely to receive a COVID-19 vaccine if they resided in Republican as compared to Democratic states, with the difference in probability greatest among those households where parents/guardians identified as White. We also found that children were less likely to receive a COVID-19 vaccine if their parents/guardians identified as White as compared to any other race/ethnicity, with the differences in probability greatest among households in Republican states.

Travel Time and Costs for Abortion for Military Service Members After the Dobbs Decision.

This study quantifies the change in travel times for military service personnel to abortion facilities following the US Supreme Court Dobbs decision and estimates the cost of an abortion-related travel reimbursement policy.

The online language of work-personal conflict.

With the blurring of boundaries in this digital age, there is increasing concern around work-personal conflict. Assessing and tracking work-personal conflict is critical as it not only affects individual workers but is also a vital measure among broader well-being and economic indices. This inductive study examines the extent to which work-personal conflict corresponds to individuals' language use on social media. We apply an open-vocabulary analysis to the posts of 2810 Facebook users who also completed a survey for an established work-personal conflict scale. It was found that the language-based model can predict personal-to-work conflict (r = 0.23) and work-to-personal conflict (r = 0.15) and provide important insights into such conflicts. Specifically, we found that high personal-to-work conflict was associated with netspeak and swearing, while low personal-to-work conflict was associated with language about work and positivity. We found that high work-to-personal conflict was associated with negative emotion and negative tone, while low work-to-personal conflict was associated with positive emotion and language about birthdays.

Parental compliance and reasons for COVID-19 Vaccination among American children.

COVID-19 vaccination rates among children have stalled, while new coronavirus strains continue to emerge. To improve child vaccination rates, policymakers must better understand parental preferences and reasons for COVID-19 vaccination among their children. Cross-sectional surveys were administered online to 30,174 US parents with at least one child of COVID-19 vaccine eligible age (5-17 years) between January 1 and May 9, 2022. Participants self-reported willingness to vaccinate their child and reasons for refusal, and answered additional questions about demographics, pandemic related behavior, and vaccination status. Willingness to vaccinate a child for COVID-19 was strongly associated with parental vaccination status (multivariate odds ratio 97.9, 95% confidence interval 86.9-111.0). The majority of fully vaccinated (86%) and unvaccinated (84%) parents reported concordant vaccination preferences for their eligible child. Age and education had differing relationships by vaccination status, with higher age and education positively associated with willingness among vaccinated parents. Among all parents unwilling to vaccinate their children, the two most frequently reported reasons were possible side effects (47%) and that vaccines are too new (44%). Unvaccinated parents were much more likely to list a lack of trust in government (41% to 21%, p < .001) and a lack of trust in scientists (34% to 19%, p < .001) as reasons for refusal. Cluster analysis identified three groups of unwilling parents based on their reasons for refusal to vaccinate, with distinct concerns that may be obscured when analyzed in aggregate. Factors associated with willingness to vaccinate children and reasons for refusal may inform targeted approaches to increase vaccination.

The Relationship Between Peripheral Arterial Disease Severity and Socioeconomic Status.

BACKGROUND: Although socioeconomic disparities in outcomes of peripheral artery disease (PAD) have been well studied, little is known about relationship between severity of PAD and socioeconomic status. The objective of this study was to examine this relationship. METHODS: Patients who had operations for severe PAD (rest pain or tissue loss) were identified in the National Inpatient Sample, 2005-2014. They were stratified by the median household income (MHI) quartiles of their residential ZIP codes. Other characteristics such as race/ethnicity and insurance type were extracted. Factors associated with more severe disease (tissue loss) were evaluated using multivariable regression analyses. RESULTS: There were 765,175 patients identified; 34% in the first MHI quartile and 18% in the fourth MHI quartile. Compared to patients in the first quartile, those in the fourth quartile were more likely White (69% vs. 42%, P < 0.001), more likely ≥65 years old (75% vs. 62%, P < 0.001), and were less likely to undergo amputations (25% vs. 34%, P < 0.001). After adjusting for patient characteristics, the fourth quartile was associated with more severe disease [Odds ratio: 1.19, 95% confidence interval (CI): 1.11-1.27] compared to the first quartile. CONCLUSIONS: While higher MHI was associated with higher PAD severity, patients with high MHI were less likely to undergo amputations indicating a disparity in the choice of treatment for PAD. Increased efforts are necessary to reduce socioeconomic disparities in the treatment of severe PAD.

The Role of Physician Networks and Receipt of Opioid-Related Payments.

BACKGROUND: Opioid-related promotional payments are associated with increased prescribing of the promoted drug, but little is known about whether physicians receiving payments influence peers to accept similar payments. OBJECTIVE: We examine the association of physician network-level position among peers and the acceptance of opioid-related promotional payments using national publicly available datasets from 2015. Design National cross-sectional data from the Centers for Medicare and Medicaid Services (CMS) National Downloadable File and Open Payment data. SUBJECTS: Physicians who shared Medicare patients with at least two other physicians in 2015. MAIN MEASURES: Modified Poisson's regressions are used to estimate the adjusted incidence rate ratio (aIRR) for social network position (i.e., degree, betweenness, and transitivity) and number of peers with payments as a function of individual receipt of opioid-related promotional payment and among those with payments, those who have five or more payments, and those who have $100 or more in payments. KEY RESULTS: Physicians with opioid-related payments were significantly more likely to have at least one peer with an opioid-related payment (IRR: 2.5, 95% CI: 2.3-2.8), but had fewer shared patients (i.e., top quartile compared to the first quartile for degree centrality: 0.4, 95% CI: 0.3-0.4) and belonged to less cohesive networks (i.e., top quartile compared to the first quartile for betweenness centrality: 0.9, 95% CI: 0.8-0.9). CONCLUSIONS: Our study demonstrates that physicians receiving opioid-related payments are more likely to cluster within physician networks.

Characterizing industry payments to US teaching hospitals and affiliated physicians: a cross-sectional analysis of the Open Payments datasets from 2016 to 2022.

Industry payments to US teaching hospitals are common; however, little is known about whether these financial relationships influence affiliated physicians to engage in similar financial relationships with industry. Using national hospital, physician, and industry payment data we investigated trends in industry payments made to US teaching hospitals and affiliated physicians to characterize the magnitude and nature of payments. In addition, we assessed if physicians may be influenced to accept higher value industry payments depending on the value of promotional payments accepted by the teaching hospital they affiliate with. We found that physicians with a US teaching hospital affiliation are associated with accepting higher value industry payments as the total value of industry payments of the teaching hospital increases. Our findings varied by specialty, with surgeons accepting the highest value payments. These results highlight the need for greater public disclosure and awareness of payments to better manage and mitigate industry-biased clinical decision making.

Estimated Travel Time and Spatial Access to Abortion Facilities in the US Before and After the Dobbs v Jackson Women's Health Decision.

Importance: Abortion facility closures resulted in a substantial decrease in access to abortion care in the US. Objectives: To investigate the changes in travel time to the nearest abortion facility after the Dobbs v Jackson Women's Health Organization (referred to hereafter as Dobbs) US Supreme Court decision. Design, Setting, and Participants: Repeated cross-sectional spatial analysis of travel time from each census tract in the contiguous US (n = 82 993) to the nearest abortion facility (n = 1134) listed in the Advancing New Standards in Reproductive Health database. Census tract boundaries and demographics were defined by the 2020 American Community Survey. The spatial analysis compared access during the pre-Dobbs period (January-December 2021) with the post-Dobbs period (September 2022) for the estimated 63 718 431 females aged 15 to 44 years (reproductive age for this analysis) in the US (excluding Alaska and Hawaii). Exposures: The Dobbs ruling and subsequent state laws restricting abortion procedures. The pre-Dobbs period measured abortion access to all facilities providing abortions in 2021. Post-Dobbs abortion access was measured by simulating the closure of all facilities in the 15 states with existing total or 6-week abortion bans in effect as of September 30, 2022. Main Outcomes and Measures: Median and mean changes in surface travel time (eg, car, public transportation) to an abortion facility in the post-Dobbs period compared with the pre-Dobbs period and the total percentage of females of reproductive age living more than 60 minutes from abortion facilities during the pre- and post-Dobbs periods. Results: Of 1134 abortion facilities in the US (at least 1 in every state; 8 in Alaska and Hawaii excluded), 749 were considered active during the pre-Dobbs period and 671 were considered active during a simulated post-Dobbs period. Median (IQR) and mean (SD) travel times to pre-Dobbs abortion facilities were estimated to be 10.9 (4.3-32.4) and 27.8 (42.0) minutes. Travel time to abortion facilities in the post-Dobbs period significantly increased (paired sample t test P <.001) to an estimated median (IQR) of 17.0 (4.9-124.5) minutes and a mean (SD) of and 100.4 (161.5) minutes. In the post-Dobbs period, an estimated 33.3% (sensitivity interval, 32.3%-34.8%) of females of reproductive age lived in a census tract more than 60 minutes from an abortion facility compared with 14.6.% (sensitivity interval, 13.0%-16.9%) of females of reproductive age in the pre-Dobbs period. Conclusions and Relevance: In this repeated cross-sectional spatial analysis, estimated travel time to abortion facilities in the US was significantly greater in the post-Dobbs period after accounting for the closure of abortion facilities in states with total or 6-week abortion bans compared with the pre-Dobbs period, during which all facilities providing abortions in 2021 were considered active.

The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study.

BACKGROUND: The lack of publicly available and culturally relevant data sets on African American and bilingual/Spanish-speaking Hispanic adults' disease prevention and health promotion priorities presents a major challenge for researchers and developers who want to create and test personalized tools built on and aligned with those priorities. Personalization depends on prediction and performance data. A recommender system (RecSys) could predict the most culturally and personally relevant preventative health information and serve it to African American and Hispanic users via a novel smartphone app. However, early in a user's experience, a RecSys can face the "cold start problem" of serving untailored and irrelevant content before it learns user preferences. For underserved African American and Hispanic populations, who are consistently being served health content targeted toward the White majority, the cold start problem can become an example of algorithmic bias. To avoid this, a RecSys needs population-appropriate seed data aligned with the app's purposes. Crowdsourcing provides a means to generate population-appropriate seed data. OBJECTIVE: Our objective was to identify and test a method to address the lack of culturally specific preventative personal health data and sidestep the type of algorithmic bias inherent in a RecSys not trained in the population of focus. We did this by collecting a large amount of data quickly and at low cost from members of the population of focus, thereby generating a novel data set based on prevention-focused, population-relevant health goals. We seeded our RecSys with data collected anonymously from self-identified Hispanic and self-identified non-Hispanic African American/Black adult respondents, using Amazon Mechanical Turk (MTurk). METHODS: MTurk provided the crowdsourcing platform for a web-based survey in which respondents completed a personal profile and a health information-seeking assessment, and provided data on family health history and personal health history. Respondents then selected their top 3 health goals related to preventable health conditions, and for each goal, reviewed and rated the top 3 information returns by importance, personal utility, whether the item should be added to their personal health library, and their satisfaction with the quality of the information returned. This paper reports the article ratings because our intent was to assess the benefits of crowdsourcing to seed a RecSys. The analysis of the data from health goals will be reported in future papers. RESULTS: The MTurk crowdsourcing approach generated 985 valid responses from 485 (49%) self-identified Hispanic and 500 (51%) self-identified non-Hispanic African American adults over the course of only 64 days at a cost of US $6.74 per respondent. Respondents rated 92 unique articles to inform the RecSys. CONCLUSIONS: Researchers have options such as MTurk as a quick, low-cost means to avoid the cold start problem for algorithms and to sidestep bias and low relevance for an intended population of app users. Seeding a RecSys with responses from people like the intended users allows for the development of a digital health tool that can recommend information to users based on similar demography, health goals, and health history. This approach minimizes the potential, initial gaps in algorithm performance; allows for quicker algorithm refinement in use; and may deliver a better user experience to individuals seeking preventative health information to improve health and achieve health goals.

Estimating a Model for Mental Healthcare Utilization Using Subjective Unmet Need and Psychological Distress Measures.

The objective of this study is to assess the predictive value of self-reported need and psychological distress in mental healthcare service use across racial and ethnic groups in California. Using 2014-2018 data for adults aged 18-64 in the California Health Interview Survey, both logistic and Poisson regression models are used to estimate mental healthcare utilization. Patient-reported outcome measures, such as psychological distress, are commonly used to evaluate healthcare utilization patterns. The Kessler-6 screener for psychological distress is frequently used as a tool for determining whether someone's level of distress necessitates evaluation by a mental healthcare professional. Serious psychological distress has been widely studied as a predictor of higher healthcare expenditures and use; however, moderate distress and self-reported need has been less examined in the literature. Seventy-two percent of individuals with moderate psychological distress felt like they needed to see a professional for their mental or emotional needs compared to 4% of individuals with serious psychological distress. Individuals with moderate psychological distress had 34% of all healthcare visits for mental or emotional needs during the study period, compared to 17% for those with serious psychological distress. Subjective unmet need for mental healthcare was reported by 77% of those who utilized mental healthcare during the study period. Studying subjective unmet need, in addition to moderate and serious distress, provides additional understanding of the need for mental healthcare and mental healthcare utilization.

Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App.

BACKGROUND: Participatory research methodologies can provide insight into the use of mobile health (mHealth) apps, cultural preferences and needs, and health literacy issues for racial and ethnic groups, such as African Americans and Hispanics who experience health disparities. OBJECTIVE: This methodological paper aims to describe a 1-year multi-method participatory research process that directly engaged English-speaking African American and bilingual or Spanish-speaking Hispanic adults in designing a prevention-focused, personalized mHealth, information-seeking smartphone app. We report design team participants' experiences with the methods to show why our approach is valuable in producing apps that are more aligned with their needs. METHODS: Three design sessions were conducted to inform the iteration of a prevention-focused, personalized mHealth, information-seeking app. The research team led sessions with 2 community member design teams. Design team participants described their goals, motives, and interests regarding prevention information using different approaches, such as collage and card sorting (design session 1), interaction with the app prototype (design session 2), and rating of cultural appropriateness strategies (design session 3). RESULTS: Each design team had 5 to 6 participants: 2 to 3 male participants and 3 female participants aged between 30 and 76 years. Design team participants shared their likes and dislikes about the sessions and the overall experience of the design sessions. Both African American and Hispanic teams reported positive participation experience. The primary reasons included the opportunity for their views to be heard, collectively working together in the design process, having their apprehension about mHealth reduced, and an opportunity to increase their knowledge of how they could manage their health through mHealth. The feedback from each session informed the following design sessions and a community-engaged process. In addition, the specific findings for each design session informed the design of the app for both communities. CONCLUSIONS: This multi-method participatory research process revealed 4 key lessons learned and recommendations for future research in mHealth app design for African Americans and Hispanics. Lesson 1-community partnerships are key because they provide the chain of trust that helps African American and Hispanic participants feel comfortable participating in app research. Lesson 2-community-based participatory research principles continue to yield promising results to engage these populations in mHealth research. Lesson 3-interactive design sessions uncover participants' needs and development opportunities for mHealth tools. Lesson 4-multiple design sessions with different methods provide an in-depth understanding of participants' mHealth preferences and needs. Future developers should consider these methods and lessons to ensure health apps in the marketplace contribute to eliminating health disparities and achieving health equity.

Association of historic redlining and present-day health in Baltimore.

BACKGROUND: In the 1930s, the Home Owners' Loan Corporation categorized neighborhoods by investment grade along racially discriminatory lines, a process known as redlining. Although other authors have found associations between Home Owners' Loan Corporation categories and current impacts on racial segregation, analysis of current health impacts rarely use these maps. OBJECTIVE: To study whether historical redlining in Baltimore is associated with health impacts today. APPROACH: Fifty-four present-day planning board-defined community statistical areas are assigned historical Home Owners' Loan Corporation categories by area predominance. Categories are red ("hazardous"), yellow ("definitely declining") with blue/green ("still desirable"/"best") as the reference category. Community statistical area life expectancy is regressed against Home Owners' Loan Corporation category, controlling for median household income and proportion of African American residents. CONCLUSION: Red categorization is associated with 4.01 year reduction (95% CI: 1.47, 6.55) and yellow categorization is associated with 5.36 year reduction (95% CI: 3.02, 7.69) in community statistical area life expectancy at baseline. When controlling for median household income and proportion of African American residents, red is associated with 5.23 year reduction (95% CI: 3.49, 6.98) and yellow with 4.93 year reduction (95% CI: 3.22, 6.23). Results add support that historical redlining is associated with health today.

Metrics for Phased Prevention of Coronavirus Disease 2019 Transmission for Institutions of Higher Education: 2022 and Beyond.

In the nearly 2 years since suspending in-person activities, many institutions of higher education (IHEs) have struggled with returning students, staff, and faculty to campus safely and developed robust mitigation plans, continuing or instituting surveillance testing, and codifying stringent coronavirus disease 2019 codes of conduct. Essential to return-to-campus planning is a strategy for when and how to reduce activities to slow transmission through phased prevention-a strategy for reintroducing nonpharmaceutical interventions and "metering" activities at IHEs based on the levels of community severe acute respiratory syndrome coronavirus 2 transmission and testing. In this regard, I propose a series of mitigation measures and the metrics for their implementation, color coded and categorized in phases similar to those recommended by the federal and numerous state governments to open nonessential businesses and resume in-person services, and specific where applicable to IHEs that require vaccination and those at which vaccination is optional.

The influence of socioeconomic status on outcomes of lower extremity arterial reconstruction.

OBJECTIVE: Although it has been shown that patient socioeconomic status (SES) is associated with the surgical treatments chosen for severe peripheral arterial disease (PAD), the association between SES and outcomes of arterial reconstruction have not been well-studied. The objective of this study was to determine if SES is associated with outcomes following lower extremity arterial reconstruction. METHODS: Patients 40 years and older who had surgical revascularization for severe lower extremity PAD were identified in the Nationwide Readmissions Database, 2010 to 2014. Measures of SES including median household income (MHI) quartiles of patients' residential ZIP codes were extracted. Factors associated with repeat revascularization, subsequent major amputations, hospital mortality, and 30-day all-cause readmission were evaluated using multivariable regression analyses. RESULTS: Of the 131,529 patients identified, the majority (61%) were male, and the average age was 69 years. On unadjusted analyses, subsequent amputations were higher among patients in the lowest MHI quartile compared with patients in the highest MHI quartile (13% vs 10%; overall P < .001). On multivariable analyses, compared with patients in the lowest quartile, those in the highest quartile had lower amputation (adjusted odds ratio [aOR], 0.70; 95% confidence interval (CI), 0.63-0.77; overall P < .001) and readmission (aOR, 0.91; 95% CI, 0.84-0.99; overall P = .028) rates. However, subsequent revascularization (aOR, 1.04; 95% CI, 0.94-1.15) and mortality (aOR, 1.01; 95% CI, 0.79-1.28) rates were not different across the groups. CONCLUSIONS: Lower SES is associated with disproportionally worse outcomes following lower extremity arterial reconstruction for severe PAD. These data suggest that improving outcomes of lower extremity arterial reconstruction may involve addressing socioeconomic disparities.

Applying the Hierarchy of Controls: What Occupational Safety Can Teach us About Safely Navigating the Next Phase of the Global COVID-19 Pandemic.

Eighteen months into the COVID-19 pandemic, and as the world struggles with global vaccine equity, emerging variants, and the reality that eradication is years away at soonest, we add to notion of "layered defenses" proposing a conceptual model for better understanding the differential applicability and effectiveness of precautions against SARS-CoV-2 transmission. The prevailing adaptation of Reason's Swiss cheese model conceives of all defensive layers as equally protective, when in reality some are more effective than others. Adapting the hierarchy of controls framework from occupational safety provides a better framework for understanding the relative benefit of different hazard control strategies to minimize the spread of SARS-CoV-2.

Impact of Vax-a-Million Lottery on COVID-19 Vaccination Rates in Ohio.

BACKGROUND: A decrease in coronavirus disease 2019 (COVID-19) vaccination rates has led some states to consider various incentives to boost demand for vaccines. On May 13, 2021, Ohio announced a free weekly lottery for individuals who received at least 1 COVID-19 vaccination. This study seeks to rigorously quantify the impact of Ohio's vaccination lottery. METHODS: A synthetic control consisting of a weighted combination of other states was used to approximate the demographic characteristics, new cases, and vaccination rates in Ohio prior to the lottery announcement. The difference in vaccination rates in Ohio and the synthetic control following the lottery announcement was then used to estimate the lottery's impact. RESULTS: Prior to the lottery announcement, Ohio and synthetic Ohio had similar demographic characteristics and new case rates. Ohio and synthetic Ohio also had identical first vaccination rates. By the final lottery enrollment date of June 20, the percentage of the population with first vaccinations increased to 47.41% in Ohio and 46.43% in synthetic Ohio for a difference of 0.98% (95% confidence interval [CI] 0.42-1.54). CONCLUSION: An additional 114,553 Ohioans received vaccinations as a result of the Vax-a-Million program (95% CI 49,094-180,012) at a cost of approximately $49 per Ohioan vaccinated (95% CI $31-$114). However, a majority of Ohioans remained unvaccinated by the end of the lottery, indicating that additional efforts are needed to address barriers to vaccination. This synthetic control approach may also be useful to evaluate other COVID-19 incentive programs.

Disparities in Health Care Access and Utilization at the Intersections of Urbanicity and Sexual Identity in California.

Purpose: The aim was to examine differences in health care access at the intersections of urbanicity and sexual identity in California. Methods: We used the 2014-2017 Adult California Health Interview Survey paired with the sexual orientation special use research file to create dummy groups representing each dimension of urbanicity and sexual identity to compare access to health care outcomes. We calculated unadjusted proportions and estimated adjusted odds ratios of each dimension relative to urban heterosexual people using logistic regressions. Results: Relative to urban heterosexual people, urban gay/lesbian people had 1.651 odds of using the emergency room (ER). Urban bisexual people had 1.429 odds of being uninsured, 1.575 odds of delaying prescriptions, and 1.907 odds of using the ER. Rural bisexual people experienced similar access barriers having 1.904 odds of uninsurance and 2.571 odds of using the ER. Conclusions: Our study findings demonstrated disparate access to health care across sexual orientation and rurality. The findings are consistent with literature that suggests urban and rural sexual minority people experience health care differently and demonstrate that bisexual people experience health care differently than gay/lesbian people. These findings warrant further study to examine how social identities, such as race/ethnicity, interact with sexual orientation to determine health care access. Furthermore, these findings demonstrate the need to emphasize the health care access needs of sexual minority people in both rural and urban areas to eliminate health care access disparities.