Health Information National Trends Survey Research Articles

The Effects of the COVID-19 Pandemic on Age-Based Disparities in Digital Health Technology Use: Secondary Analysis of the 2017-2022 Health Information National Trends Survey.

The COVID-19 pandemic accelerated the adoption of digital health technology, but it could also impact age-based disparities as existing studies have pointed out. Compared with the pre-pandemic period, whether the rapid digitalization of the health care system during the pandemic widened the age-based disparities over a long period remains unclear. This study aimed to analyze the long-term effects of the COVID-19 pandemic on the multifaceted landscape of digital health technology used across diverse age groups among US citizens. We conducted the retrospective observational study using the 2017-2022 Health Information National Trends Survey to identify the influence of the COVID-19 pandemic on a wide range of digital health technology use outcomes across various age groups. The sample included 15,505 respondents, which were categorized into 3 age groups: adults (18-44 years), middle-aged adults (45-64 years), and older adults (more than 65 years). We also designated the time point of March 11, 2020, to divide the pre- and post-pandemic periods. Based on these categorizations, multivariate linear probability models were used to assess pre-post changes in digital health technology use, controlling for demographic, socioeconomic, and health-related variables among different age groups. Essentially, older adults were found to be significantly less likely to use digital health technology compared with adults, with a 26.28% lower likelihood of using the internet for health information (P<.001) and a 32.63% lower likelihood of using health apps (P<.001). The usage of digital health technology for all age groups had significantly increased after the onset of the pandemic, and the age-based disparities became smaller in terms of using the internet to look for health information. However, the disparities have widened for older adults in using the internet to look up test results (11.21%, P<.001) and make appointments (10.03%, P=.006) and using wearable devices to track health (8.31%, P=.01). Our study reveals a significant increase in the use of digital health technology among all age groups during the pandemic. However, while the disparities in accessing online information have narrowed, age-based disparities, particularly for older adults, have widened in most areas such as looking up test results and making appointments with doctors. Therefore, older adults are more likely left behind by the rapidly digitalized US health care system during the pandemic. Policy makers and health care providers should focus on addressing these disparities to ensure equitable access to digital health resources for US baby boomers.

Age Variation Among US Adults' Social Media Experiences and Beliefs About Who Is Responsible for Reducing Health-Related Falsehoods: Secondary Analysis of a National Survey.

We live in a digital age where social media has become an essential part of people's lives. It is also one of the leading platforms responsible for spreading health-related falsehoods. This study explores who adults of different age groups perceive as responsible for reducing health-related falsehoods on social media. Despite growing concern over older adults' exposure to false health information on social media, little research examines their beliefs on how to address the problem. This study examines how the age of US adults is associated with their reported experiences with health-related falsehoods on social media and their beliefs about who should be tasked with reducing such falsehoods. This study is a secondary analysis of data from the 2022 Health Information National Trends Survey, a nationally representative survey of US adults (18 years and older). Multivariable logistic regressions estimated how a respondent's age was associated with their self-reported social media use, their difficulty to detect health-related falsehoods on social media, their discussion of health information found on social media with medical providers, and their beliefs regarding who should be responsible for reducing health-related falsehoods on social media. Regression estimates were adjusted for respondents' sociodemographic and health characteristics. Daily social media use decreased with respondents' age. Respondents aged 50-64 years (b=0.515, P=.01) and 65-74 years (b=0.697, P=.002) were more likely than respondents aged 18-34 years to report they strongly agree that it is difficult for them to detect health-related falsehoods on social media. Compared to younger adults, older adults (65-74 years: b=0.818, P=.002; 75 years and older: b=1.058, P<.001) were more likely to believe medical providers should be responsible for reducing online falsehoods. In addition to ongoing efforts by social media platforms to detect and remove falsehoods, the findings suggest medical providers should be tasked with discrediting health-related falsehoods on social media for older adults. However, time during the clinical visit is limited. Future research is needed to discover new approaches and tools tailored to older adults to assist with filtering and discrediting health-related falsehoods on social media.

Patients’ Use of Electronic Health Records Facilitates Patient-Centered Communication: Findings From the 2017 Health Information National Trends Survey

Background Patient-centered communication refers to interaction between patients and health professionals that considers patients’ preferences and empowers patients to contribute to their own care. Research suggests that patient-centered communication promotes patients’ satisfaction with care, trust in physicians, and competence in their abilities to manage their health. Objective The study aims to explore the role of patients’ use of electronic health records (EHRs) in promoting patient-centered communication. Specifically, we investigated how health information efficacy mediates the association of EHR use with patient-centered communication and whether and how the relationship between EHR use and health information efficacy varies according to patients’ perceived social support levels. Methods We conducted mediation and multigroup analyses using nationally representative data from the Health Information National Trends Survey 5 cycle 1 conducted in the United States (N=3285). Among respondents, we analyzed those who received care from health professionals over the previous year (2823/3285, 85.94%). Results EHR use by patients was associated with high levels of health information efficacy (unstandardized coefficient=0.050, SE 0.024; P=.04). In turn, health information efficacy was positively related to patient-centered communication (unstandardized coefficient=0.154, SE 0.024; P&lt;.001). The indirect pathway from EHR use to patient-centered communication, mediated by health information efficacy, was statistically significant (unstandardized coefficient=0.008, SE 0.004; P=.04). Among patients with high social support (2349/2823, 83.21%), EHR use was not significantly associated with health information efficacy (unstandardized coefficient=0.038, SE 0.026; P=.15), although health information efficacy was linked to high levels of patient-centered communication (unstandardized coefficient=0.151, SE 0.030; P&lt;.001). The indirect relationship in this group was not significant (unstandardized coefficient=0.006, SE 0.004; P=.11). However, among those with low social support (474/2823, 16.79%), EHR use was positively associated with health information efficacy (unstandardized coefficient=0.155, SE 0.048; P=.001), which in turn relates to high levels of patient-centered communication (unstandardized coefficient=0.137, SE 0.050; P=.01). The indirect pathway was also significant (unstandardized coefficient=0.021, SE 0.010; P=.03). Conclusions Patients who use EHRs may build health information efficacy, which seems to promote communication between patients and health care providers. This indirect pathway was not detected among patients with high social support. However, among those with low social support, EHR use seems to enhance health information efficacy, which may in turn facilitate patient-centered communication. Given the nature of the dataset used, the findings of this study are more relevant to the United States than other contexts.

Traditional and Online Health Information Seeking Among Individuals With Limited English Proficiency in the United States: Cross-Sectional Study.

We investigate how individuals with Limited English Proficiency (LEP) seek, access, and evaluate traditional and online sources they rely on for health information. Retrospective cross-sectional survey analysis from the United States. Pooled Health Information National Trends Survey surveys (2013-2019). The sample was comprised 15,316 respondents; 236/15,316 (1.54%) completed the survey in Spanish and 1727/14,734 (11.72%) had LEP (did not speak English "very well"). The sample was nationally representative across demographic categories. Independent and dependent variables were self-reported using validated measures. Multivariable logistic regression models using jackknife replicate weights for population estimates. Adults with LEP were less confident in their capacity to access health information (aOR = 0.59, CI: 0.47-0.75) and had less trust in health information from medical professionals (aOR = 0.57,CI: 0.46-0.72) than English proficient (EP) adults. Although LEP and EP adults were both most likely to use the internet as their first source of information, LEP adults were more likely than EP adults to consult health professionals, print sources like books, news or brochures, family and friends, television and radio. Spanish language survey respondents were more likely to trust health information from government agencies (aOR = 1.99, CI: 1.09-3.62) and watch health-related videos on the internet than respondents who took the survey in English (aOR = 2.51, CI: 1.23-5.12). Our results show how language barriers may contribute to health disparities experienced by linguistic minorities. Government agencies and health care organizations need to promote health information dissemination in underserved communities and may need to embrace the use of alternative information sources such as television, radio, and the internet to reach LEP populations.

The Impact of Healthcare Digitalization on Communication with Healthcare Providers: The Case of People Who are Hard of Hearing

ABSTRACT Driven by the proliferation of digital technology and the adoption of online medical records in the healthcare industry, this study aims to answer the question: How does the digitalization of medical records and communication influence people with hearing impairments’ communication with healthcare providers? The research utilizes data from the National Cancer Institute’s Health Information National Trends Survey to investigate the potential benefits of electronic health information exchange and online medical records in facilitating communication between individuals with hearing impairments and healthcare providers. The results of our study indicate that there is a negative association between hearing impairment and how individuals evaluate the quality of communication when interacting with healthcare providers. Our research indicates that utilizing online medical records and exchanging health information electronically has a beneficial effect on mitigating the adverse correlation between hard of hearing status and the perceived quality of communication with healthcare professionals.

Associations of Physical Activity and Sedentary Behavior With Mental Distress According to Caregiver Status: Analysis of the Health Information National Trends Survey, 2022.

To (1) examine how physical activity and sedentary behavior are related to mental distress and (2) identify and compare how various levels of sedentary behaviors may differentially predict mental distress after accounting for physical activity, among caregivers vs non-caregivers. Cross-sectional secondary data. National Cancer Institute's Health Information National Trends Survey Cycle 6 fielded online from March-November 2022. U.S. adults aged 18 and older. The Patient Health Questionnaire-4 was administered along with caregiving status, moderate weekly physical activity, sedentary behavior, and sociodemographic characteristics. After applying population weights, we conducted multiple adjusted logistic regression models and estimated predictive margins to understand whether a specific dose of sedentary behavior (hours/day) is associated with risk of mental distress, at different levels of physical activity. Caregivers (15.41% of sample) reporting 10-hour of daily sedentary behavior were significantly more likely to experience mental distress, than those reporting lower amounts of sedentary behavior (OR = 3.372, 95%CI = 1.968, 5.776, P < 0.001). Regardless of physical activity amount, 10 hours of sedentary behavior may be a risk factor for mental distress among non-caregivers. Just 6 hours of sedentary behavior may be related to mental distress among caregivers. Physical activity interventions tailored to caregivers' needs, responsibilities, and circumstances are required. Innovative methodologies are needed to understand caregivers' daily behaviors and the intensity of their caregiving activities.

Abstract 4138218: Meeting Physical Activity Recommendations Among Wearable Device Users: Insights from the 2022 Health Information National Trends Survey

Background: The benefits of physical activity for health and well-being are well documented. Promoting physical activity is crucial for enhancing population health. Wearable devices play a significant role in tracking health-related activities and have been shown to enhance engagement in physical activities. While studies have identified sociodemographic patterns in wearable device usage, little is known about their impact on real-world outcomes, such as increased physical activity. Research Question: Is there a variation in achieving the recommended level of physical activity among wearable device users? Aim: To examine factors associated with achieving the recommended weekly minimum of 150 minutes of moderate-intensity physical activity among wearable device users. Methods: Data from the 2022 Health Information National Trends Survey (HINTS 6) of wearable device users (n = 1,718) were analyzed. We reported adjusted odds ratios from multivariable logistic regression of meeting recommended levels of physical activity. Results: Among the 1,718 participants who utilized wearable devices, 64.3% were female with a mean (M) age of 48.2 ± 0.36 years. The majority were White (58.1%), followed by Asian (18.4%). Among the wearable users, 54.8% met the recommended weekly minimum of 150 minutes of moderate-intensity physical activity. The age group of 65 to 74 years (OR, 1.96; 95% CI, 1.04, 3.69; p=0.04) was more likely to achieve 150 minutes of physical activity per week. However, Asian wearable users were less likely to achieve physical activity goals compared to other racial and ethnic wearable users (OR, 0.55; 95% CI, 0.31, 0.96; p=0.04). Additionally, individuals with a body mass index ≥30 kg/m 2 (OR, 0.54; 95% CI, 0.36, 0.79; P&lt;0.01) and those with high blood pressure (OR, 0.62; 95% CI, 0.41, 0.94; p=0.03) were less likely to meet physical activity recommendations. Conclusions: This study highlights variations in physical activity outcomes among wearable device users and underscores the importance of enhancing the public's ability to use these devices to increase physical activity. Future efforts should include exploring facilitators of effective wearable use, in various sociodemographic groups, especially for those at risk of obesity or hypertension.

Association Between Social Determinants of Health and Patient Portal Utilization in the United States

(1) Background: Differences in health outcomes across populations are due to disparities in access to the social determinants of health (SDoH), such as educational level, household income, and internet access. With several positive outcomes reported with patient portal use, examining the associated social determinants of health is imperative. Objective: This study analyzed the association between social determinants of health—education, health insurance, household income, rurality, and internet access—and patient portal use among adults in the United States before and after the COVID-19 pandemic. (2) Methods: The research used a quantitative, retrospective study design and secondary data from the combined cycles 1 to 4 of the Health Information National Trends Survey 5 (N = 14,103) and 6 (N = 5958). Descriptive statistics and logistic regression were conducted to examine the association between the variables operationalizing SDoH and the use of patient portals. (3) Results: Forty-percent (40%) of respondents reported using a patient portal before the pandemic, and this increased to 61% in 2022. The multivariable logistic regression showed higher odds of patient portal utilization by women compared to men (AOR = 1.56; CI, 1.32–1.83), those with at least a college degree compared to less than high school education (AOR = 2.23; CI, 1.29–3.83), and annual family income of USD 75,000 and above compared to those &lt;USD 20,000 (AOR = 1.59; CI, 1.18–2.15). Those with access to the internet and health insurance also had significantly higher odds of using their patient portals. However, those who identified as Hispanic and non-Hispanic Black and residing in a rural area rather than urban (AOR = 0.72; CI, 0.54–0.95) had significantly lower odds of using their patient portals even after the pandemic. (4) Conclusions: The social determinants of health included in this study showed significant influence on patient portal utilization, which has implications for policymakers and public health stakeholders tasked with promoting patient portal utilization and its benefits.

Abstract 4135206: Patterns of Lifestyle Risk Behaviors for Cardiovascular Disease in Family Caregivers: A Latent Class Analysis

Introduction: Lifestyle risk behaviors for cardiovascular disease (CVD) often co-occur. However, little is known about their behavioral patterns among family caregivers, a population at high risk for CVD. Aims: To identify distinct latent classes of caregivers of lifestyle risk behaviors for CVD and to examine the individual characteristics associated with membership in the identified latent classes. Methods: This study included 643 unpaid family caregivers from the 2019 Health Information National Trends Survey 5 Cycle 3. The assessed lifestyle risk behaviors included cigarette use, non-abstinence from alcohol, low physical activity, long sedentary time, and low fruit and vegetable consumption. These behaviors were dichotomized based on established guidelines or cut-off points. Latent class analysis was performed to identify latent classes based on these lifestyle risk behaviors among caregivers. Subsequently, multinomial logistic regression was used to investigate socio-demographic, health-related, and caregiving characteristics associated with the latent class membership. Results: Three distinct classes were identified (mean age = 55±16 years; 59.3% female; 57.1% non-Hispanic white): “overall healthy, but non-abstainer” (Class 1, 17.1%; reference), “overall unhealthy” (Class 2, 64.1%), and “inactive, but healthy eaters” (Class 3, 18.8%). In unadjusted multinomial logistic regression models, caregivers reporting greater financial hardship (relative risk ratio [95% CI] = 2.5 [1.0-5.9]), higher psychological distress (3.7 [1.9-7.3]), poorer sleep quality (3.3 [1.6-6.8]), longer caregiving hours (2.1 [1.1-3.9]), and providing dementia care (2.3 [1.3-4.3]) were more likely to belong to Class 2, relative to Class 1. In the adjusted model including the significant characteristics above and controlling for age and gender, psychological distress (2.7 [1.2-5.9]) remained significant. No characteristics were significantly associated with membership in Class 3, relative to Class 1. Conclusions: Lifestyle risk behaviors for CVD among caregivers may cluster in distinct patterns that vary by individual characteristics. Caregivers experiencing psychological distress may be particularly at risk for engaging in lifestyle risk behaviors. Our novel findings underscore the importance of adaptive lifestyle modification interventions that target caregiver subgroups with different patterns of health behaviors to promote their cardiovascular health.

Awareness, use, motivations and methods of accessing genetic testing in 2022 in the United States.

Awareness, access, and use of clinical and direct-to-consumer (DTC) genetic tests has increased in recent years with documented disparities in these services. We provide updated data on test awareness and use, and report novel data on motivations and methods for accessing genetic tests. Nationally representative data from the 2022 Health Information National Trends Survey (HINTS 6) were used to assess awareness and use of ancestry, personal trait, specific disease, and carrier testing by sociodemographic characteristics, examine reasons for undergoing tests, and methods of accessing them. Overall, 81.4% of respondents were aware and 40.0% had undergone testing. Only 10% of tests were ordered by genetic counselors, 80% of carrier and 65% of specific disease tests were ordered by other healthcare providers. Understanding family history was the most common reason for undergoing ancestry (72.2%) or personal trait tests (64.9%) whereas reasons such as doctor's recommendation (53%-59%), learning more about disease risk (18%-50%), and carrier testing (76%) were common for undergoing disease risk tests and carrier tests. In contrast to ancestry, personal trait, and carrier testing, there were no racial, ethnic, income, or rural/urban difference in use of specific disease risk testing. Diffusion of genetic tests into US society, although incremental, has made sizable increases in awareness, equitable use of specific disease tests but worsening socioeconomic inequality in DTC genetic test use. The study provides update on the state of genetic testing in the US and identifies groups that may need help accessing clinical genomic information and services.

Rural-Urban Disparities in Mobile Health Application Ownership and Utilization Among Cancer Survivors

Objective: Mobile health applications (mHealth apps) can provide health care and health-promoting information while contributing to improving cancer survivors’ quality of life and health outcomes. However, little is known about the rural-urban distribution of mHealth app ownership and utilization. In this study, we explore the characteristics of cancer survivors who own and use mHealth apps and examine rural-urban disparities in mHealth app ownership and utilization among cancer survivors. Methods: We utilized data from the “Health Information National Trends Survey–Surveillance, Epidemiology, and End Results” pilot study, fielded among cancer survivors from 3 U.S. cancer registries (Iowa, New Mexico, and California) in 2021. Our sample included 942 cancer survivors who reported owning a smart device (a smartphone and/or a tablet computer). The analyses included computing weighted proportions and fitting a multivariable regression model. Results: Overall, 60.3% of cancer survivors reported using mHealth apps, and 16.9% resided in rural areas. Approximately 45.0% of rural cancer survivors reported utilizing mHealth apps (vs 63.5% of urban survivors). Regression analysis revealed that rural cancer survivors had 46.0% lower odds of owning and using mHealth apps compared with their urban counterparts (adjusted odds ratio = 0.54; 95% CI: 0.36, 0.80). Conclusions: Rural cancer survivors were less likely to own and use mHealth apps compared with urban survivors. Rural cancer survivors usually face structural and health care system-related barriers to health care access and affordability. Leveraging mHealth technology as a tool could potentially contribute to improving health care delivery for rural cancer survivors, and help address existing structural and informational barriers to access.

Factors affecting U.S. adults’ comfort level in sharing social needs information with healthcare providers

ObjectiveThis study examines various factors affecting U.S. adults’ comfort level in sharing information about their social needs with healthcare providers. MethodsWe used data from the 2022 Health Information National Trends Survey (cycle 6), a nationally representative survey of U.S. adults (n = 6252). The outcome variables were participants’ comfort level in sharing information about three social needs (food insecurity, transportation difficulties, and housing instability). Data were analyzed using weighted bivariate and multivariable logistic regression models. ResultsParticipants who faced discrimination when getting medical care based on race/ethnicity were more likely to be uncomfortable in sharing information about food insecurity, housing instability, and transportation difficulties. Those who trusted the healthcare system “a lot” were less likely to be uncomfortable in sharing information about food insecurity and transportation difficulties. Patient-Centered Communication (PCC) and social isolation scores significantly affected participants’ comfort level in sharing information about social needs. ConclusionVarious factors such as trust, discrimination, social isolation, and PCC were found to be significantly affecting US adults’ comfort level in sharing information about social needs. Practice implicationsHealthcare systems and policymakers should focus on developing approaches and strategies to enhance trust, reduce discrimination, improve patient-provider communication, and create supportive social environments.

Disparities in Cervical Cancer Knowledge and Trust in Information Sources Among Diverse American Women.

Cervical cancer rates have declined due to prevention and screening, but disparities remain. This study examines how trust and preference in information sources affect knowledge and behaviors, alongside demographic differences to identify health disparities. This study used Health Information National Trends Survey data and employed weighted chi-square tests and multivariate logistic regression to analyze associations between knowledge, behaviors, and demographic differences. The results revealed significant disparities in HPV awareness, with lower awareness among Black (OR, 0.521), Hispanic (OR, 0.398), and Asian (OR, 0.138) women compared to Whites. Age and education also played roles, as older and less-educated women were less informed. Trust in doctors was crucial; women with low trust in doctors (aOR, 0.499; 95% CI, 0.252-0.989) had lower odds of having heard of HPV. Preference for written materials as a primary information source (aOR, 0.312; 95% CI, 0.122-0.793) also correlated with lower HPV awareness compared to preferring information from doctors. Furthermore, women with low trust in charity organizations (aOR, 0.647; 95% CI, 0.461-0.909) were less likely to believe HPV causes cervical cancer, while those who preferred the internet as an information source (aOR, 1.544; 95% CI, 1.026-2.324) had higher odds of having heard of HPV compared to those preferring doctors. Minority populations, older women, and those with lower education levels had significantly lower HPV knowledge. These findings highlight the need for tailored communication, community outreach, policy initiatives, culturally sensitive approaches, digital health interventions, and strategies promoting patient-provider trust to address these disparities.

The mediating role of healthy behaviors and self-perceived health in the relationship between eating behaviors and comorbidity in adults

BackgroundThere is limited information on how healthy behaviors and individual health perceptions mediate the relationship between eating behaviors and noncommunicable diseases in adults. This study aimed to evaluate the mediating role of these factors in the relationship between eating behaviors and comorbidity in U.S. adults.MethodsA cross-sectional predictive study using data from 5,247 adults from the Health Information National Trends Survey (HINTS) 5, cycle 3 (2019) was conducted. Structural equation modeling (SEM) was used to assess the mediating effect.ResultsThe model showed good fit (χ2/df = 1.22, CFI = 971, TLI = 959, RMSEA = 0.050, SRMR = 0.036). It was found that self-perceived health totally mediated the relationship between eating behaviors and comorbidities (β = − 0.026, p < .001). Additionally, healthy behaviors and self-perceived health together mediated the relationship between eating behaviors and comorbidities (β = − 0.025, p < .001). A direct relationship was also observed between healthy behaviors and comorbidities, mediated by self-perceived health (β = − 0.103, p < .001).ConclusionThe study concludes that eating behaviors are significantly related to comorbidities through the mediation of healthy behaviors and self-perceived health.

Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022.

Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine learning (ML) approaches. This study aimed to perform feature selection and develop ML approaches in prediction of current e-cigarette use using the 2022 Health Information National Trends Survey (HINTS 6). The Boruta algorithm and the least absolute shrinkage and selection operator (LASSO) were used to perform feature selection of 71 variables. The random oversampling example (ROSE) method was utilized to deal with imbalance data. Five ML tools including support vector machines (SVMs), logistic regression (LR), random forest (RF), gradient boosting machine (GBM), and extreme gradient boosting (XGBoost) were applied to develop ML models. The overall prevalence of current e-cigarette use was 4.3%. Using the overlapped 15 variables selected by Boruta and LASSO, the RF algorithm provided the best classifier with an accuracy of 0.992, sensitivity of 0.985, F1 score of 0.991, and AUC of 0.999. Weighted logistic regression further confirmed that age, education level, smoking status, belief in the harm of e-cigarette use, binge drinking, belief in alcohol increasing cancer, and the Patient Health Questionnaire-4 (PHQ4) score were associated with e-cigarette use. This study confirmed the strength of ML techniques in survey data, and the findings will guide inquiry into behaviors and mentalities of substance users.

Racial and Demographic Disparities in Susceptibility to Health Misinformation on Social Media: National Survey-Based Analysis.

Social media platforms have transformed the dissemination of health information, allowing for rapid and widespread sharing of content. However, alongside valuable medical knowledge, these platforms have also become channels for the spread of health misinformation, including false claims and misleading advice, which can lead to significant public health risks. Susceptibility to health misinformation varies and is influenced by individuals' cultural, social, and personal backgrounds, further complicating efforts to combat its spread. This study aimed to examine the extent to which individuals report encountering health-related misinformation on social media and to assess how racial, ethnic, and sociodemographic factors influence susceptibility to such misinformation. Data from the Health Information National Trends Survey (HINTS; Cycle 6), conducted by the National Cancer Institute with 5041 US adults between March and November 2022, was used to explore associations between racial and sociodemographic factors (age, gender, race/ethnicity, annual household income, marital status, and location) and susceptibility variables, including encounters with misleading health information on social media, difficulty in assessing information truthfulness, discussions with health providers, and making health decisions based on such information. Over 35.61% (1740/4959) of respondents reported encountering "a lot" of misleading health information on social media, with an additional 45% (2256/4959) reporting seeing "some" amount of health misinformation. Racial disparities were evident in comparison with Whites, with non-Hispanic Black (odds ratio [OR] 0.45, 95% CI 0.33-0.6, P<.01) and Hispanic (OR 0.54, 95% CI 0.41-0.71, P<.01) individuals reporting lower odds of finding deceptive information, while Hispanic (OR 1.68, 95% CI 1.48-1.98, P<.05) and non-Hispanic Asian (OR 1.96, 95% CI 1.21-3.18, P<.01) individuals exhibited higher odds in having difficulties in assessing the veracity of health information found on social media. Hispanic and Asian individuals were more likely to discuss with providers and make health decisions based on social media information. Older adults aged ≥75 years exhibited challenges in assessing health information on social media (OR 0.63, 95% CI 0.43-0.93, P<.01), while younger adults (18-34) showed increased vulnerability to health misinformation. In addition, income levels were linked to higher exposure to health misinformation on social media: individuals with annual household incomes between US $50,000 and US $75,000 (OR 1.74, 95% CI 1.14-2.68, P<.01), and greater than US $75,000 (OR 1.78, 95% CI 1.20-2.66, P<.01) exhibited greater odds, revealing complexities in decision-making and information access. This study highlights the pervasive presence of health misinformation on social media, revealing vulnerabilities across racial, age, and income groups, underscoring the need for tailored interventions.

Telehealth utilization among patients with chronic disease: Insights from the 2022 Health Information National Trends Survey.

Telehealth has been effectively used for managing chronic disease conditions; however, utilization patterns vary across populations. This study aims to examine the prevalence of telehealth utilization, the associated factors of telehealth modality (e.g., audio, video) among patients with chronic diseases, and the role of health literacy. Participants with at least one diagnosed chronic disease from the 2022 Health Information National Trends Survey (HINTS 6) data (n=3686) were analyzed. Differences in participant characteristics between telehealth users and non-users were compared using χ² statistics. Multinomial logistic regression models were employed to investigate factors associated with telehealth modality. About 52% of participants reported using telehealth in the past 12 months, with 34.7% using audio-only modality. Telehealth use was highest among participants with depression (61.6%) and lowest among those with high blood pressure (47.6%). Participants over 75 years old (OR, 3.11 [95% CI, 1.99-4.85]; P < 0.001) were more likely to use audio-only modality compared to the youngest group (18-34 years). Respondents with a higher educational level (bachelor's degree: OR, 0.77 [95% CI, 0.59-1.00], P = 0.049; post-baccalaureate degree: OR, 0.60 [95% CI, 0.43-0.82]; P < 0.001) and higher health literacy (OR, 0.81 [95% CI, 0.66-0.99]; P =0.04) were more likely to use audio-video modality compared to their counterparts. Telehealth use varied across demographics and chronic diseases, revealing significant disparities. Elderly individuals, those with lower socioeconomic status, and those with lower health literacy tended to use the audio-only modality. Providing support for digital platforms and health literacy can empower patients with chronic diseases to effectively use telehealth for self-management.

Temporal Trends in Knowledge of Human Papillomavirus and Associated Oropharyngeal Cancer Following Expanded Vaccination Eligibility.

Human papillomavirus (HPV) is a significant driver of elevated risk for oropharyngeal squamous cell carcinoma (OPSCC). In 2018, HPV vaccination eligibility was expanded to men and women aged 27 to 45. We evaluated changes in awareness of HPV, its association with OPSCC, and HPV vaccination among all US adults between 2018 and 2020, focusing on those aged 27 to 45. Cross-sectional survey cycles. The Health Information National Trends Survey (HINTS). The HINTS, a nationally representative survey of US adults, was queried. A total of 3504 adults in 2018 and 3865 adults in 2020 were assessed for knowledge of HPV, its vaccine, its association with OPSCC, and changes in awareness between 2018 and 2020. Statistical significance was set at P < .05. Most respondents were aware of HPV (2018: 60.8%; 2020: 64.8%) and its vaccine (2018: 60.8%; 2020: 61.6%). A significant decrease in awareness of the association between HPV and cervical cancer was seen between 2018 and 2020 (75.0% vs 70.2%, P = .028). Knowledge of HPV+ OPSCC was poor and did not change over time (2018: 27.0%, 2020: 29.5%). Statistically significant increases in HPV awareness between 2018 and 2020 were found for individuals who reported completing high school as their highest level of education (P = .009), Caucasians (P = .013), males (P = .024), and those making more than $200,000 annually (P = .022). Knowledge of the association between HPV and OPSCC remained poor despite expanded vaccine eligibility. Public health education on the association may increase awareness for groups likely to benefit from vaccination.

Disparities in Telehealth Offer and Use among U.S. Adults: 2022 Health Information National Trends Survey.

Objective: Understanding the sources of telehealth disparities can inform efforts to ensure equity. This study examines disparities in telehealth offer and use to understand the role of health care providers in increasing telehealth access. Methods: This cross-sectional analysis of the 2022 Health Information National Trends Survey (n = 5,295) used survey-weighted proportions to characterize telehealth use and multivariable logistic regressions to test associations of sociodemographic and social determinants with (1) telehealth offer and (2) use among those offered the option. Results: Among U.S. adults, 57% were offered telehealth, 80% of whom used it. Technology difficulties and privacy concerns were barriers for 15%-20% of U.S. adults. Compared to telehealth users, most nonusers preferred in-person care (25% versus 84%). Age, education, geographic location, and broadband internet access were related to telehealth offer, whereas no significant disparities emerged in telehealth use. Conclusions: Telehealth use is widespread, but structural and provider-level engagement are needed to achieve equity.

Exploring disparities in healthcare utilization, cancer care experience, and beliefs about cancer among asian and hispanic cancer survivors.

Significant disparities exist in cancer detection, treatment, and outcomes for racial/ethnic minoritized groups in the US. The objective of this study was to explore racial/ethnic disparities in healthcare utilization, cancer care experiences, and beliefs about cancer in patients diagnosed with cancer among diverse racial/ethnic groups in the US. Data from the Health Information National Trends Survey -Surveillance, Epidemiology, and End Results (HINTS-SEER 2021) were analyzed for 1,108 cancer survivors. Bivariate analysis of the study variables with race/ethnicity were conducted with weighted analysis from STATA version 17.Sampling weights using svy was conducted. Racial/ethnic differences in healthcare utilization remained significant when controlling for the confounding factors. Asians and Hispanics were less likely to have a regular healthcare provider compared to non-Hispanic whites (NHW) (aOR = 3.31, p = .003; aOR = 2.17, p = .014; respectively). Asians were less likely than NHW to have had healthcare provider visits in the past 12months (aOR = 4.89, p = .011). There were no statistically significant differences between racial/ethnic groups in the cancer care experiences. Racial/ethnic differences in fatalistic beliefs about cancer were not significant in the final multivariate model; however, being older (β = -.41, p = .033), and having a higher education level (β = -1.23, p < .001), were associated with lower level of fatalistic beliefs about cancer. The findings suggest tailored approaches to improve healthcare utilization rates among racial/ethnic minoritized groups and highlight the need for increased research and clinical practice efforts to address racial/ethnic disparities in the cancer care continuum.