Changes in Partner-Seeking and Sexual Behavior Among US Adults During the First 2 Years of the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic may have influenced partner-seeking and sexual behaviors of adults. METHODS: We examined cross-sectional survey data collected at the end of the first year (n = 1161) and second year (n = 1233) of the COVID-19 pandemic by the National Opinion Research Center's nationally representative, probability-based AmeriSpeak panel. Data were analyzed to (1) quantify behavioral changes across pandemic years, (2) examine changes of in-person dating prevalence during year 2, and (3) assess risk perception for acquiring COVID-19 or HIV/STIs through new partnerships during year 2. Weighted percentages were calculated for responses; univariate relationships between demographic characteristics and outcomes were assessed. RESULTS: Prevalence of new partners for dating remained stable across pandemic years (year 1: n = 1157 [10%]; year 2: n = 1225 [12%]). The prevalence of in-person sex with new partners was also stable (year 1: n = 1157 [7%], year 2: n = 1225 [6%]), marking a decline from a prepandemic estimate (2015-2016: 16%). Partner-seeking experiences varied by age and sexual identity in both years, and by race/ethnicity during year 2. Reports of in-person dating fluctuated throughout year 2, without clear relationship to viral variants. Respondents who met new partners in person during year 2 generally reported greater concern and preparedness for reducing risks associated with HIV/STIs than COVID-19. CONCLUSIONS: The prevalence of US adults seeking new partners for dating or sex remained stable across pandemic years. During future public health emergencies, public health officials are encouraged to offer guidance for reducing disease risks in partnerships, while emphasizing sexual health and providing tailored messaging for persons more susceptible to infection.

The Economic Burden of Vision Loss and Blindness in the United States.

PURPOSE: To estimate the economic burden of vision loss (VL) in the United States and by state. DESIGN: Analysis of secondary data sources (American Community Survey [ACS], American Time Use Survey, Bureau of Labor Statistics, Medical Expenditure Panel Survey [MEPS], National and State Health Expenditure Accounts, and National Health Interview Survey [NHIS]) using attributable fraction, regression, and other methods to estimate the incremental direct and indirect 2017 costs of VL. PARTICIPANTS: People with a yes response to a question asking if they are blind or have serious difficulty seeing even when wearing glasses in the ACS, MEPS, or NHIS. MAIN OUTCOME MEASURES: We estimated the direct costs of medical, nursing home (NH), and supportive services and the indirect costs of absenteeism, lost household production, reduced labor force participation, and informal care by age group, sex, and state in aggregate and per person with VL. RESULTS: We estimated an economic burden of VL of $134.2 billion: $98.7 billion in direct costs and $35.5 billion in indirect costs. The largest burden components were NH ($41.8 billion), other medical care services ($30.9 billion), and reduced labor force participation ($16.2 billion), all of which accounted for 66% of the total. Those with VL incurred $16 838 per year in incremental burden. Informal care was the largest burden component for people 0 to 18 years of age, reduced labor force participation was the largest burden component for people 19 to 64 years of age, and NH costs were the largest burden component for people 65 years of age or older. New York, Connecticut, Massachusetts, Rhode Island, and Vermont experienced the highest costs per person with VL. Sensitivity analyses indicate total burden may range between $76 and $218 billion depending on the assumptions used in the model. CONCLUSIONS: Self-reported VL imposes a substantial economic burden on the United States. Burden accrues in different ways at different ages, leading to state differences in the composition of per-person costs based on the age composition of the population with VL. Information on state variation can help local decision makers target resources better to address the burden of VL.

Partner Seeking and Sexual Behavior in the United States During the COVID-19 Pandemic, March 2020 to March 2021.

ABSTRACT: We examined partner seeking and sexual behaviors among a representative sample of US adults (n = 1161) during the first year of the COVID-19 pandemic. Approximately 10% of survey respondents sought a new partner, with age and sexual identity being associated with partner seeking behavior. Approximately 7% of respondents had sex with a new partner, which marks a decrease as compared with a prepandemic estimate from 2015 to 2016 in which 16% of US adults reported having sex with a new partner during the past year. Among respondents who had in-person sex with a new partner during the first year of the pandemic, public health guidelines for in-person sexual activity were infrequently followed.

Support for evidence-informed opioid policies and interventions: The role of racial attitudes, political affiliation, and opioid stigma.

Political affiliation, racial attitudes, and opioid stigma influence public support for public health responses to address opioid use disorders (OUD). Prior studies suggest public perceptions of the opioid epidemic are less racialized and less politically polarized than were public perceptions of the crack cocaine epidemic. Analyzing a cross-sectional, nationally representative sample (n = 1161 U.S. adults) from the October 2020 AmeriSpeak survey, we explored how political affiliation, racial attitudes (as captured in the Color-Blind Racial Attitudes Scale [CoBRAS]), and OUD stigma were associated with respondents' expressed views regarding four critical domains. Respondents with unfavorable attitudes towards Black Americans were less likely to support expanding Medicaid funding, increasing government spending to provide services for people living with OUD, and distributing naloxone for overdose prevention. Democratic Party affiliation was associated with greater support for all three of the above measures, and increased support for mandatory treatment, which may be seen as a substitute for more punitive interventions. Black respondents were also less likely to support expanding Medicaid funding, increasing government spending to provide services for people living with OUD, and of distributing naloxone. Our finding suggest that negative attitudes towards African-Americans and political differences remain important factors of public opinion on responding to the OUD epidemic, even after controlling for opioid stigma. Our findings also suggest that culturally-competent dialogue within politically conservative and Black communities may be important to engage public support for evidence-informed treatment and prevention.

Vision Impairment and Blindness Prevalence in the United States: Variability of Vision Health Responses across Multiple National Surveys.

PURPOSE: To support survey validation efforts by comparing prevalence rates of self-reported and examination evaluated presenting visual impairment (VI) and blindness measured across national surveys. DESIGN: Cross-sectional comparison. PARTICIPANTS: Participants in the 2016 American Community Survey, the 2016 Behavioral Risk Factor Surveillance System, the 2016 National Health Interview Survey, the 2005-2008 National Health and Nutrition Examination Survey (NHANES), and the 2016 National Survey of Children's Health. METHODS: We estimated VI and blindness prevalence rates and confidence intervals for each survey measure and age group using the Clopper-Pearson method. We used inverse variance weighting to estimate the central tendency across measures by age-group, fitted trend lines to age-group estimates, and used the trend-line equations to estimate the number of United States persons with VI and blindness in 2016. We compared self-report estimates with those from NHANES physical evaluations of presenting VI and blindness. MAIN OUTCOME MEASURES: Variability of prevalence estimates of VI and blindness. RESULTS: Self-report estimates of blindness varied between 0.1% and 5.6% for those younger than 65 years and from 0.6% to 16.6% for those 65 or older. Estimates of VI varied between 1.6% and 24.8% for those younger than 65 years and between 2.2% and 26.6% for those 65 years or older. For summarized survey results and NHANES physical evaluation, prevalence rates for VI increased significantly with increasing age group. Blindness prevalence increased significantly with increasing age group for summarized survey responses but not for NHANES physical examination. Based on extrapolations of NHANES physical examination data to all ages, we estimated that in 2016, 23.4 million persons in the United States (7.2%) had VI or blindness, an evaluated presenting visual acuity of 20/40 or worse in the better-seeing eye before correction. Based on weighted self-reported surveys, we estimated that 24.8 million persons (7.7%) had presenting VI or blindness. CONCLUSIONS: Prevalence rates of VI and blindness obtained from national survey measures varied widely across surveys and age groups. Additional research is needed to validate the ability of survey self-report measures of VI and blindness to replicate results obtained through examination by an eye health professional.

Social Stigma toward Persons with Opioid Use Disorder: Results from a Nationally Representative Survey of U.S. Adults.

Background: This study seeks to understand the general adult population's knowledge, attitudes, and stigma towards opioid use disorder (OUD), people with histories of opioid misuse, and policies related to OUD. Methods: We conducted a cross-sectional national survey of the U.S. adult population, using AmeriSpeak's® web, probability-based panel. The number of participants were 947 (493 females and 454 males) general population adults ages 19 -89 years old who completed a self-report survey covering: social stigma of OUD, opioid policy attitudes, perceptions of OUD as a crime, knowledge and beliefs about opioids and treatment, personal experience with opioids and the criminal justice (CJ) system, and demographics. Results: Thirteen percent self-reported ever misusing opioids, 3% reported an opioid overdose, and 14% reported personal experience with the CJ system. On average, the general adult population moderately endorses stigmatizing behaviors, agrees that OUD is a medical condition, agrees with policies to increase access to OUD treatment, and is less likely to endorse OUD as a crime. Having a disregard for OUD as a medical condition was most associated with higher levels of stigma, endorsing OUD as a crime, and disagreeing with policies to help people access OUD treatment. Conclusions: Our data provide guidance to policymakers concerning individuals with certain characteristics to target for public education efforts to reduce stigma and draw more support for public heath interventions for OUD. Our data also suggest that the content of this education should include improving understanding of OUD as a medical condition.

Public perceptions of opioid misuse recovery and related resources in a nationally representative sample of United States adults.

AIMS: To understand how the US public defines recovery from opioid misuse and the recovery-related resources it views as most helpful, and to compare differences by opioid misuse history and demographic characteristics. DESIGN: Observational study of data from the nationally representative AmeriSpeak® Panel survey administered in October/November 2021. SETTING: United States. PARTICIPANTS: 6515 adults (≥ 18 years). MEASUREMENTS: Respondents ranked 10 definitions of recovery (religious in nature; spiritual in nature; physical/mental in nature; contributing to society; enhanced quality of life; seeking professional help; having a sense of purpose; moderate/controlled substance use; no drug use; abstaining from all substance use) and 9 resources that might contribute to recovery (primary care physician; intensive inpatient program; residential rehabilitation program; self-help group; therapist/psychologist/social worker; prescribed medication; talking to family/friends; spiritual/natural healer; faith-based organization). We explored differences in rankings by opioid misuse history (personal vs. family/friend vs. no history) and demographic characteristics (race, sex, age) using multivariable ordinal logistic regression. FINDINGS: Seeking professional help was the most endorsed recovery definition overall [mean (M) = 6.97, standard error (SE) = 0.03]. Those with personal opioid misuse history ranked enhanced quality of life (B = 0.16, P = 0.049) and having a sense of purpose (B = 0.16, P = 0.029) significantly higher, and ranked abstaining from substance use (B = -0.20, P = 0.009) significantly lower as recovery definitions than those without a history of opioid misuse. Compared with White respondents, Black (B = 0.60, P < 0.001) and Hispanic (B = 0.55, P < 0.001) respondents defined recovery as more religious in nature. Residential rehabilitation program was identified as the most helpful resource for recovery (M = 7.16, SE = 0.02), while prescribed medication received a relatively low ranking overall (M = 4.05, SE = 0.03). Those with family/friend opioid misuse history ranked prescribed medication as less helpful than others (B = -0.14, P = 0.003). CONCLUSIONS: The general US public's views around recovery from opioid misuse appear to focus on abstinence and formal treatment receipt, while people with a history of opioid misuse place less emphasis on abstinence and greater emphasis on other aspects of well-being.

Racial discrimination and mental health in the context of anti-Asian xenophobia: An intersecting approach of race, ethnicity, nativity, and socioeconomic status.

The COVID-19 pandemic, polarized politics, and heightened stigma and discrimination are salient drivers for negative mental health outcomes, particularly among marginalized racial and ethnic minoritized groups. Intersectionality of race, ethnicity, foreign-born status, and educational attainment may distinctively shape an individual's experience of discrimination and mental health during such unprecedented time. The present study examines the differential associations of racial discrimination and mental health based on an individual's race, ethnicity, foreign-born status, and educational attainment during the COVID-19 pandemic. Analyses were based on a nationally representative sample of U.S. adults collected between October and November 2021 (n = 6276). We utilized multivariable linear regressions to identify the multiplicative effects of race, ethnic, foreign-born status and self-reported racial discrimination on mental health, stratified by educational attainment. Among individuals with lower educational attainment, associations between racial discrimination and poor mental health were stronger among Asians (US-born: ß = -2.07, p = 0.03; foreign-born: ß = -3.18, p = 0.02) and US-born multiracial individuals (ß = -1.96, p = 0.02) than their White counterparts. Among individuals with higher educational attainment, foreign-born Hispanics (ß = -3.66, p < 0.001) and US-born Asians (ß = -2.07, p = 0.01) reported worst mental health when exposed to racial discrimination out of all other racial, ethnic and foreign-born groups. Our results suggest that association of racial discrimination and mental health varies across racial, ethnic, foreign-born, and education subgroups. Using an intersectional approach to address the widening inequities in racial discrimination and mental health during the COVID-19 pandemic contextualizes unique experience of discrimination and provides crucial insight on the patterns of mental health among marginalized groups.

Pointing Fingers: Who US Adults Blame for the Opioid Overdose Epidemic.

BACKGROUND: Over 3 million Americans have an opioid use disorder (OUD), and only a fraction receive treatment. Public opinion is crucial in enacting evidence-based policies. Few studies have examined the public's perception of blame for the ongoing opioid overdose epidemic directed at distinct groups. We assessed US adults' perceived blameworthiness for the epidemic and examined factors that may influence the perceived blameworthiness. METHODS: We conducted a national survey in 2022 using the AmeriSpeak® panel to assess US adults' perception of blame toward individuals with an OUD and external contributors. Of the 3335 eligible panel members invited to participate, 1233 (37%) completed the survey. We developed a measure of knowledge and understanding of OUD, with a higher value indicating a greater understanding of the nature of OUD and recovery-including knowledge and beliefs on evidence-based treatment and relapse. We analyzed the relationships between sources of blame, knowledge, and understanding of OUD, and individual-level correlates. RESULTS: Higher score of knowledge and understanding of OUD was associated with lower odds of blaming individuals with OUD (odds ratio [OR] = 0.73, 95% confidence interval [CI] = [0.51, 1.05]) and greater odds of blaming external contributors: healthcare providers (OR = 1.49, 95% CI = [1.05, 2.12]), pharmaceutical companies (OR = 2.17, 95% CI = [1.50, 3.15]), and health insurance companies (OR = 1.42, 95% CI = [0.97, 2.09]). Those who are female, non-Hispanic White, Democrat, have higher education, or have friends or family who misused opioids tended to score higher in knowledge and understanding of OUD. CONCLUSIONS: Perceived blameworthiness for the opioid overdose epidemic is related to knowledge and understanding of OUD. Public health campaigns with a bipartisan agenda to increase evidence-informed knowledge about OUD targeting people of color and with lower education may help reduce the blame toward people with an OUD, which in turn may increase support for evidence-informed policies.

Factors Associated With the Availability of Medications for Opioid Use Disorder in US Jails.

Importance: In 2023, more than 80 000 individuals died from an overdose involving opioids. With almost two-thirds of the US jail population experiencing a substance use disorder, jails present a key opportunity for providing lifesaving treatments, such as medications for opioid use disorder (MOUD). Objectives: To examine the prevalence of MOUD in US jails and the association of jail- and county-level factors with MOUD prevalence using a national sample. Design, Setting, and Participants: This survey study used a nationally representative cross-sectional survey querying 1028 jails from June 2022 to April 2023 on their provision of substance use disorder treatment services. The survey was conducted via mail, phone, and the internet. County-level data were linked to survey data, and binary logistic regressions were conducted to assess the probability that a jail offered any treatment and MOUD. A stratified random sample of 2791 jails identified by federal lists of all jails in the US was invited to participate. Staff members knowledgeable about substance use disorder services available in the jail completed the survey. Exposures: US Census region, urbanicity, jail size, jail health care model (direct employees or contracted), county opioid overdose rate, county social vulnerability (measured using the Centers for Disease Control and Prevention 2020 Social Vulnerability Index summary ranking, which ranks counties based on 16 social factors), and access to treatment in the county were assessed. Main Outcomes and Measures: Availability of any type of substance use disorder treatment (eg, self-help meetings), availability of MOUD (ie, buprenorphine, methadone, and naltrexone) to at least some individuals, and availability of MOUD to any individual with an OUD were assessed. Results: Of 2791 invited jails, 1028 jails participated (36.8% response rate). After merging the sample with county data, 927 jails were included in analysis, representative of 3157 jails nationally after weighting; most were from nonmetropolitan counties (‭1756 jails [55.6%; 95% CI, 52.3%-59.0%]) and had contracted health care services (1886 jails [59.7%; 95% CI, 56.5%-63.0%]); fewer than half of these jails (1383 jails [43.8%; 95% CI, 40.5%-47.1%]) offered MOUD to at least some individuals, and 405 jails (12.8%; 95% CI, 10.7% to 14.9%) offered MOUD to anyone with an OUD. Jails located in counties with lower social vulnerability (adjusted odds ratio per 1-percentile increase = 0.28; 95% CI, 0.19-0.40) and shorter mean distances to the nearest facility providing MOUD (adjusted odds ratio per 1-SD increase, 0.80; 95% CI, 0.72-0.88) were more likely to offer MOUD. Conclusions and relevance: In this study, few jails indicated offering frontline treatments despite being well positioned to reach individuals with an OUD. These findings suggest that efforts and policies to increase MOUD availability in jails and the surrounding community may be associated with helping more individuals receive treatment.

Endorsement of COVID-19 misinformation among criminal legal involved individuals in the United States: Prevalence and relationship with information sources.

Criminal legal system involvement (CLI) is a critical social determinant of health that lies at the intersection of multiple sources of health disparities. The COVID-19 pandemic exacerbates many of these disparities, and specific vulnerabilities faced by the CLI population. This study investigated the prevalence of COVID-19-related misinformation, as well as its relationship with COVID-19 information sources used among Americans experiencing CLI. A nationally representative sample of American adults aged 18+ (N = 1,161), including a subsample of CLI individuals (n = 168), were surveyed in February-March 2021. On a 10-item test, CLI participants endorsed a greater number of misinformation statements (M = 1.88 vs. 1.27) than non-CLI participants, p < .001. CLI participants reported less use of government and scientific sources (p = .017) and less use of personal sources (p = .003) for COVID-19 information than non-CLI participants. Poisson models showed that use of government and scientific sources was negatively associated with misinformation endorsement for non-CLI participants (IRR = .841, p < .001), but not for CLI participants (IRR = .957, p = .619). These findings suggest that building and leveraging trust in important information sources are critical to the containment and mitigation of COVID-19-related misinformation in the CLI population.

The prevalence of bilateral hearing loss in the United States in 2019: a small area estimation modelling approach for obtaining national, state, and county level estimates by demographic subgroup.

Background: The goal of this study was to re-estimate rates of bilateral hearing loss Nationally, and create new estimates of hearing loss prevalence at the U.S. State and County levels. Methods: We developed small area estimation models of mild, and moderate or worse bilateral hearing loss in the U.S. using data from the National Health and Nutrition Examination Survey (2001-2012, 2015-2018), the American Community Survey (2019), Census County Business Patterns (2019); Social Security Administration Data (2019); Medicare Fee-for-Service and Advantage claims data (2019); the Area Health Resources File (2019), and other sources. We defined hearing loss as mild (>25 dB through 40 dB), moderate or worse (>40 dB), or any (>25 dB) in the better hearing ear based on a 4-frequency pure-tone-average threshold, and created estimates by age group (0-4, 5-17, 18-34, 35-64, 65-74, 75+), gender, race and ethnicity, state, and county. Findings: We estimated that 37.9 million (95% Uncertainty Interval [U.I.] 36.6-39.1) Americans experienced any bilateral hearing loss; 24.9 million (95% U.I. 23.6-26.0) with mild and 13.0 million (95% U.I. 12.1-13.9) with moderate or worse. The prevalence rate of any hearing loss was 11.6% (95% U.I. 11.2%-12.0%). Hearing loss increased with age. Men were more likely to have hearing loss than women after age 35, and non-Hispanic Whites had higher rates of hearing loss than other races and ethnicities. Higher hearing loss prevalence was associated with smaller population size. West Virginia, Alaska, Wyoming, Oklahoma, and Arkansas had the highest standardised rate of bilateral hearing loss, and Washington D.C., New Jersey, New York, Maryland, and Connecticut had the lowest. Interpretation: Bilateral Hearing loss varies by State and County, with variation associated with population age, race and ethnicity, and population size. Geographic estimates can be used to raise local awareness of hearing loss as a problem, to prioritize areas for hearing loss prevention, identification, and treatment, and to guide future research on the hearing loss risk factors that contribute to these differences. Funding: CDC's National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health.

Associations between partisan media consumption, opioid use disorder stigma, and opioid policy support: An exploration of the media's role in the ongoing opioid epidemic.

We report on a preliminary investigation into the relationship between partisan media consumption (PMC) among U.S. adults and their (1) opioid use disorder (OUD) stigma, (2) national OUD policy support (e.g., Medicaid coverage for OUD treatment), (3) local OUD policy support (e.g., safe injection sites), (4) discriminatory OUD policies (e.g., denying housing), and (5) carceral OUD policies (e.g., jailing people who use opioids). We performed a cross-sectional survey of a nationally-representative sample of U.S. adults (n = 6,515) from October 1-November 19, 2021. We surveyed a sample of U.S. adults ages 18 and older drawn from NORC's AmeriSpeak® Panel. AmeriSpeak is a probability-based ongoing panel of over 40,000 households designed to represent the U.S. household population. Cross-sectional analyses revealed significant relationships between PMC and OUD stigma (b = 0.29, p <.001, CI95 = 0.14,0.43), support for national (b = -0.31, p <.01, CI95 = -0.54,-0.09) and local policy responses (b = -0.38, p <.001, CI95 = -0.59,-0.17), and support for discriminatory opioid use disorder policies (b = 0.27, p <.01, CI95 = 0.07,0.45). After controlling for self-reported political affiliation and other potential covariates, Republican-leaning media consumption was significantly associated with increased OUD stigma, less support for national and local harm reduction or rehabilitative policies, and more support for discriminatory policies against individuals experiencing OUD. The opposite associations were observed for Democratic-leaning media consumption. Markers for racism mediated the relationship between PMC and support for carceral policies (indirect path b = -0.41,p <.001, CI95 = -0.50,-0.31). Our results indicate that public health advocates must collaborate with conservative leaders to find bipartisan common ground for targeted communication campaigns.

A National Portrait of Public Attitudes toward Opioid Use in the US: A Latent Class Analysis.

BACKGROUND: Opioid overdose rates have steadily been increasing in the United States (US) creating what is considered an overdose death crisis. The US has a mixture of public health and punitive policies aimed to address opioid use and the overdose crisis, yet little is known about public opinion relating to opioid use and policy support. Understanding the intersection of public opinion about opioid use disorder (OUD) and policy can be useful for developing interventions to address policy responses to overdose deaths. METHODS: A national sample of cross-sectional data from the AmeriSpeak survey conducted from 27 February 2020 through 2 March 2020 was analyzed. Measures included attitudes toward OUD and policy beliefs. Latent class analysis, a person-centered approach, was used to identify groups of individuals endorsing similar stigma and policy beliefs. We then examined the relationship between the identified groups (i.e., classes) and key behavioral and demographic factors. RESULTS: We identified three distinct groups: (1) "High Stigma/High Punitive Policy", (2) "High Stigma/Mixed Public Health and Punitive Policy", and (3) "Low Stigma/High Public Health Policy". People with higher levels of education had reduced odds of being in the "High Stigma/High Punitive Policy" group. CONCLUSION: Public health policies are most effective in addressing OUD. We suggest targeting interventions toward the "High Stigma/Mixed Public Health and Punitive Policy" group since this group already displays some support for public health policies. Broader interventions, such as eliminating stigmatizing messaging in the media and redacting punitive policies, could reduce OUD stigma among all groups.

Latent class analysis of medical mistrust and COVID-19 vaccine hesitancy among adults in the United States just prior to FDA emergency use authorization.

Using a nationally representative household sample, we sought to better understand types of medical mistrust as a driver of COVID-19 vaccine hesitancy. We used survey responses to conduct a latent class analysis to classify respondents into categories and explained this classification as a function of sociodemographic and attitudinal variables using multinomial logistic regression models. We then estimated the probability of respondents agreeing to receive a COVID-19 vaccine conditional on their medical mistrust category. We extracted a five-class solution to represent trust. The high trust group (53.0 %) is characterized by people who trust both their doctors and medical research. The trust in own doctor group (19.0 %) trust their own doctors but is ambiguous when it comes to trusting medical research. The high distrust group (6.3 %) neither trust their own doctor nor medical research. The undecided group (15.2 %) is characterized by people who agree on some dimensions and disagree on others. The no opinion group (6.2 %) did not agree nor disagree with any of the dimensions. Relative to the high trust group, those who trust their own doctors are almost 20 percentage points less likely to plan to get vaccinated (average marginal effect (AME) = 0.21, p <.001), and those who have high distrust are 24 percentage points less likely (AME = -0.24, p <.001) to report planning to get the vaccine. Results indicate that beyond sociodemographic characteristics and political attitudes, people's trust archetypes on parts of the medical field significantly predict their probability of wanting to get vaccinated. Our findings suggest that efforts to combat vaccine hesitancy should focus on building capacity of trusted providers to speak with their patients and parents of their patients, to recommend COVID-19 vaccination and build a trusting relationship; and increase trust and confidence in medical research.

Association Between Social Determinants of Health and Examination-Based Vision Loss vs Self-reported Vision Measures.

Importance: Recent evidence suggests that social determinants of health (SDOH) affect vision loss, but it is unclear whether estimated associations differ between clinically evaluated and self-reported vision loss. Objective: To identify associations between SDOH and evaluated vision impairment and to assess whether these associations hold when examining self-reported vision loss. Design, Setting, and Participants: This population-based cross-sectional comparison included participants 12 years and older in the 2005 to 2008 National Health and Nutrition Examination Survey (NHANES), participants of all ages (infants and older) in the 2019 American Community Survey (ACS), and adults 18 years and older in the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Exposures: Five domains of SDOH that are based on Healthy People 2030: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context. Main Outcomes and Measures: Presenting vision impairment of 20/40 or worse in the better-seeing eye (NHANES) and self-reported blindness or serious difficulty seeing, even with glasses (ACS and BRFSS). Results: Of 3 649 085 included participants, 1 873 893 were female (51.1%) and 2 504 206 were White (64.4%). SDOH across domains of economic stability, educational attainment, health care access and quality, neighborhood and built environment, and social context were significant predictors of poor vision. For example, higher income (poverty to income ratio [NHANES]: OR, 0.91; 95% CI, 0.85-0.98; [ACS]: OR, 0.93; 95% CI, 0.93-0.94; categorical income [BRFSS:<$15 000 reference]: $15 000-$24 999; OR, 0.91; 95% CI, 0.91-0.91; $25 000-$34 999: OR, 0.80; 95% CI, 0.80-0.80; $35 000-$49 999: OR, 0.71; 95% CI, 0.71-0.72; ≥$50 000: OR, 0.49; 95% CI, 0.49-0.49), employment (BRFSS: OR, 0.66; 95% CI, 0.66-0.66; ACS: OR, 0.55; 95% CI, 0.54-0.55), and owning a home (NHANES: OR, 0.85; 95% CI, 0.73-1.00; BRFSS: OR, 0.82; 95% CI, 0.82-0.82; ACS: OR, 0.79; 95% CI, 0.79-0.79) were associated with lower odds of vision loss. The study team identified no differences in the general direction of the associations when using either clinically evaluated or self-reported vision measures. Conclusions and Relevance: The study team found evidence that associations between SDOH and vision impairment track together when using either clinically evaluated or self-reported vision loss. These findings support the use of self-reported vision data in a surveillance system to track trends in SDOH and vision health outcomes within subnational geographies.

The Relationship between Substance Use Stigma and COVID-19 Vaccine Hesitancy.

Two parallel public health epidemics affecting the United States include the COVID-19 pandemic and a rise in substance use disorders (SUDs). Limited research has examined the potential relationship between these two epidemics. Our objective was therefore to perform an exploratory study in order to examine the association between public stigma toward people with a past history of opioid, methamphetamine, cocaine, and alcohol use disorder and COVID-19 vaccine hesitancy. A national sample of U.S. adults (N = 6515) completed a survey which assessed the degree of negative perceptions toward individuals with a past history of substance use disorders (referred to as substance use stigma) and COVID-19 vaccine hesitancy, along with variables such as racial prejudice, source of health news, and other demographics. We evaluated four multivariable logistic regression models to predict COVID-19 vaccine hesitancy, utilizing substance use stigma toward opioids, methamphetamine, cocaine, and alcohol use as independent variables. We found that COVID-19 vaccine hesitancy was positively associated with substance use stigma toward opioid (AOR = 1.34, p < 0.05), methamphetamine (AOR = 1.40, p < 0.01), and cocaine (AOR = 1.28, p < 0.05) use, but not alcohol use (AOR = 1.06, n.s.). Predictive models that incorporate substance use stigma may therefore improve our ability to identify individuals that may benefit from vaccine hesitancy interventions. Future research to understand the underlying reasons behind the association between substance use stigma and COVID-19 vaccine hesitancy may help us to construct combined interventions which address belief systems that promote both substance use stigma and vaccine hesitancy.

Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage.

RATIONALE: Misinformation is a major concern for public health, with its presence and impact strongly felt in the COVID-19 pandemic. Misinformation correction has drawn strong research interest. In contrast, relatively little attention has been given to the likelihood of favorable behavioral change post correction (i.e., openness to change). OBJECTIVE: This study seeks to identify the characteristics of COVID misinformation endorsers who are open to adopt more self-protective behaviors after misinformation correction. METHODS: COVID misinformation endorsers (N = 1991) in a large, nationally representative survey (fielded in October and November 2021) were asked how likely they would adopt self-protective behaviors if a source they trusted debunked their prior misperceptions. Multiple linear regression estimated the relationships between openness to change and socio-demographics, health-related factors, and health information source usage patterns. RESULTS: Less than half of the misinformation endorsers in the sample (41.3%) indicated any openness to change. Openness to change was positively associated with minority status and negatively associated with leaning Republican in political affiliation, higher income, being currently unvaccinated or unsure about vaccination status, better health, and a greater number of misinformation items endorsed. Past-month use of government, community, and personal sources for health information positively predicted openness. The use of online media was negatively associated with openness. CONCLUSIONS: Openness to change is not guaranteed after misinformation correction. Targeted interventions based on openness to change are needed to enhance the public health impact of misinformation correction efforts.

Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study.

BACKGROUND: Self-reported questions on blindness and vision problems are collected in many national surveys. Recently released surveillance estimates on the prevalence of vision loss used self-reported data to predict variation in the prevalence of objectively measured acuity loss among population groups for whom examination data are not available. However, the validity of self-reported measures to predict prevalence and disparities in visual acuity has not been established. OBJECTIVE: This study aimed to estimate the diagnostic accuracy of self-reported vision loss measures compared to best-corrected visual acuity (BCVA), inform the design and selection of questions for future data collection, and identify the concordance between self-reported vision and measured acuity at the population level to support ongoing surveillance efforts. METHODS: We calculated accuracy and correlation between self-reported visual function versus BCVA at the individual and population level among patients from the University of Washington ophthalmology or optometry clinics with a prior eye examination, randomly oversampled for visual acuity loss or diagnosed eye diseases. Self-reported visual function was collected via telephone survey. BCVA was determined based on retrospective chart review. Diagnostic accuracy of questions at the person level was measured based on the area under the receiver operator curve (AUC), whereas population-level accuracy was determined based on correlation. RESULTS: The survey question, "Are you blind or do you have serious difficulty seeing, even when wearing glasses?" had the highest accuracy for identifying patients with blindness (BCVA ≤20/200; AUC=0.797). The highest accuracy for detecting any vision loss (BCVA <20/40) was achieved by responses of "fair," "poor," or "very poor" to the question, "At the present time, would you say your eyesight, with glasses or contact lenses if you wear them, is excellent, good, fair, poor, or very poor" (AUC=0.716). At the population level, the relative relationship between prevalence based on survey questions and BCVA remained stable for most demographic groups, with the only exceptions being groups with small sample sizes, and these differences were generally not significant. CONCLUSIONS: Although survey questions are not considered to be sufficiently accurate to be used as a diagnostic test at the individual level, we did find relatively high levels of accuracy for some questions. At the population level, we found that the relative prevalence of the 2 most accurate survey questions were highly correlated with the prevalence of measured visual acuity loss among nearly all demographic groups. The results of this study suggest that self-reported vision questions fielded in national surveys are likely to yield an accurate and stable signal of vision loss across different population groups, although the actual measure of prevalence from these questions is not directly analogous to that of BCVA.

Validity of Administrative Claims and Electronic Health Registry Data From a Single Practice for Eye Health Surveillance.

Importance: Diagnostic information from administrative claims and electronic health record (EHR) data may serve as an important resource for surveillance of vision and eye health, but the accuracy and validity of these sources are unknown. Objective: To estimate the accuracy of diagnosis codes in administrative claims and EHRs compared to retrospective medical record review. Design, Setting, and Participants: This cross-sectional study compared the presence and prevalence of eye disorders based on diagnostic codes in EHR and claims records vs clinical medical record review at University of Washington-affiliated ophthalmology or optometry clinics from May 2018 to April 2020. Patients 16 years and older with an eye examination in the previous 2 years were included, oversampled for diagnosed major eye diseases and visual acuity loss. Exposures: Patients were assigned to vision and eye health condition categories based on diagnosis codes present in their billing claims history and EHR using the diagnostic case definitions of the US Centers for Disease Control and Prevention Vision and Eye Health Surveillance System (VEHSS) as well as clinical assessment based on retrospective medical record review. Main Outcome and Measures: Accuracy was measured as area under the receiver operating characteristic curve (AUC) of claims and EHR-based diagnostic coding vs retrospective review of clinical assessments and treatment plans. Results: Among 669 participants (mean [range] age, 66.1 [16-99] years; 357 [53.4%] female), identification of diseases in billing claims and EHR data using VEHSS case definitions was accurate for diabetic retinopathy (claims AUC, 0.94; 95% CI, 0.91-0.98; EHR AUC, 0.97; 95% CI, 0.95-0.99), glaucoma (claims AUC, 0.90; 95% CI, 0.88-0.93; EHR AUC, 0.93; 95% CI, 0.90-0.95), age-related macular degeneration (claims AUC, 0.87; 95% CI, 0.83-0.92; EHR AUC, 0.96; 95% CI, 0.94-0.98), and cataracts (claims AUC, 0.82; 95% CI, 0.79-0.86; EHR AUC, 0.91; 95% CI, 0.89-0.93). However, several condition categories showed low validity with AUCs below 0.7, including diagnosed disorders of refraction and accommodation (claims AUC, 0.54; 95% CI, 0.49-0.60; EHR AUC, 0.61; 95% CI, 0.56-0.67), diagnosed blindness and low vision (claims AUC, 0.56; 95% CI, 0.53-0.58; EHR AUC, 0.57; 95% CI, 0.54-0.59), and orbital and external diseases (claims AUC, 0.63; 95% CI, 0.57-0.69; EHR AUC, 0.65; 95% CI, 0.59-0.70). Conclusion and Relevance: In this cross-sectional study of current and recent ophthalmology patients with high rates of eye disorders and vision loss, identification of major vision-threatening eye disorders based on diagnosis codes in claims and EHR records was accurate. However, vision loss, refractive error, and other broadly defined or lower-risk disorder categories were less accurately identified by diagnosis codes in claims and EHR data.