BACKGROUND: Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.
OBJECTIVE: This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.
METHODS: Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.
RESULTS: For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.
CONCLUSIONS: Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

The Internet is increasingly being used as a health information resource. This meta-ethnography aimed to synthesize the literature on how parents of children aged below 5 years\' experienced using the Internet for health information purposes. We employed an interpretive meta-synthesis approach-meta-ethnography-according to Noblit & Hare\'s seven phases. A total of 22 articles met the inclusion criteria, representing four continents and with 650 participants, mainly mothers. We analysed and synthesized the primary studies into the following lines-of-argument synthesis representing a novel conceptual understanding of the phenomenon: Parents experience the Internet as \"A cyber partner for child caring\" being a 24/7 available \"go-to\" among other confined sources. Parents find ways of \"patching together\" trustworthy information in solicitude for their child\'s health while navigating between trust and anxiety. They relate online and share their experiences and secrets without being rejected. Clinicians and parents may benefit from \"partnering\" with this resource.

BACKGROUND: Patients find technology tools to be more approachable for seeking sensitive health-related information, such as reproductive health information. The inventive conversational ability of artificial intelligence (AI) chatbots, such as ChatGPT (OpenAI Inc), offers a potential means for patients to effectively locate answers to their health-related questions digitally.
OBJECTIVE: A pilot study was conducted to compare the novel ChatGPT with the existing Google Search technology for their ability to offer accurate, effective, and current information regarding proceeding action after missing a dose of oral contraceptive pill.
METHODS: A sequence of 11 questions, mimicking a patient inquiring about the action to take after missing a dose of an oral contraceptive pill, were input into ChatGPT as a cascade, given the conversational ability of ChatGPT. The questions were input into 4 different ChatGPT accounts, with the account holders being of various demographics, to evaluate potential differences and biases in the responses given to different account holders. The leading question, \"what should I do if I missed a day of my oral contraception birth control?\" alone was then input into Google Search, given its nonconversational nature. The results from the ChatGPT questions and the Google Search results for the leading question were evaluated on their readability, accuracy, and effective delivery of information.
RESULTS: The ChatGPT results were determined to be at an overall higher-grade reading level, with a longer reading duration, less accurate, less current, and with a less effective delivery of information. In contrast, the Google Search resulting answer box and snippets were at a lower-grade reading level, shorter reading duration, more current, able to reference the origin of the information (transparent), and provided the information in various formats in addition to text.
CONCLUSIONS: ChatGPT has room for improvement in accuracy, transparency, recency, and reliability before it can equitably be implemented into health care information delivery and provide the potential benefits it poses. However, AI may be used as a tool for providers to educate their patients in preferred, creative, and efficient ways, such as using AI to generate accessible short educational videos from health care provider-vetted information. Larger studies representing a diverse group of users are needed.

BACKGROUND: Individuals with chronic diseases often search for health information online. The Diabetes Online Community (DOC) is an active community with members who exchange health information; however, few studies have examined health information brokering in the DOC.
OBJECTIVE: The aim of this study was to develop and validate the Attitudes Toward Seeking Health Information Online (ATSHIO) scale in a sample of adults with type 1 diabetes (T1D).
METHODS: People with T1D were recruited through the DOC, specifically Facebook and Twitter. They were provided with a Qualtrics link to complete the survey. This was a mixed methods study that used thematic analysis along with existing theory and formative research to design the quantitative ATSHIO scale.
RESULTS: A total of 166 people with T1D participated in this study. Confirmatory factor analyses determined a 2-factor scale (Trusting and Evaluating Online Health Information in the DOC and Engaging With Online Health Information in the DOC) with good convergent validity and discriminant validity. Correlations were found between social support, online health information-seeking, diabetes distress, and disease management.
CONCLUSIONS: The ATSHIO scale can be used to investigate how people with diabetes are using the internet for obtaining health information, which is especially relevant in the age of telehealth and Health 2.0.

BACKGROUND: Reducing cancer fatalism is essential because of its detrimental impact on cancer-related preventive behaviors. However, little is known about factors influencing individuals\' cancer fatalism in China.
OBJECTIVE: With a general basis of the extended parallel process model, this study aims to examine how distinct cancer-related mental conditions (risk perception and worry) and different information behaviors (information seeking vs avoidance) become associated with cancer fatalism, with an additional assessment of the moderating effect of information usefulness.
METHODS: Data were drawn from the Health Information National Trends Survey in China, which was conducted in 2017 (N=2358). Structural equation modeling and bootstrapping methods were performed to test a moderated mediation model and hypothesized relationships.
RESULTS: The results showed that cancer risk perception and cancer worry were positively associated with online health information seeking. In addition, cancer worry was positively related to cancer information avoidance. Moreover, online health information seeking was found to reduce cancer fatalism, while cancer information avoidance was positively associated with cancer fatalism. The results also indicated that the perceived usefulness of cancer information moderated this dual-mediation pathway.
CONCLUSIONS: The national survey data indicate that cancer mental conditions should not be treated as homogeneous entities, given their varying functions and effects. Apart from disseminating useful cancer information to encourage individuals to adaptively cope with cancer threats, we advocate for health communication programs to reduce cancer information avoidance to alleviate fatalistic beliefs about cancer prevention.

This study examined health information-seeking behavior among cancer survivors, including informational sources used and the factors correlated with information-seeking across different racial/ethnic groups. We used data from the Health Information National Trends Survey (2017-2022). Adjusted logistic regression was conducted to identify the predictors of information-seeking by race/ethnicity. Predicting variables were organized into demographic (age, education, race, income, and comorbidity), enabling (having health insurance, having a regular provider, and frequency of care visits), predisposing (quality of care, self-efficacy, and confidence in one\'s ability to get information), and reinforcing (patient-centered communication, ease of getting information, and confusing information available) factors based on the PRECEDE-PROCEED Model. We included 4723 cancer survivors, of which 15.41% have breast cancer, 17.50% have skin cancer, and 11.11% have prostate cancer. A majority (75.08%) had sought health information. Healthcare providers were the most preferred sources of information across demographic groups, followed by the Internet. Health insurance, a regular provider, and frequent visits were enabling factors that positively influenced information-seeking behavior. Confidence in getting information when needed and self-efficacy were predisposing factors positively associated with the information-seeking behavior. Finally, reinforcing factors (ease of getting information and non-confusion of the information available) were also positively associated with information-seeking. Study findings suggest that one-fourth of cancer survivors had not sought cancer-related information. The results have implications for identifying patients at increased risk for unmet information needs. They also contribute to our understanding of critical racial differences and similarities. Further, findings can help guide interventions to assist in information seeking based on patient preferences.

OBJECTIVE: This study intends to examine influences of online information search on the use of aspirin in cardiovascular diseases (CVDs) prevention among the applicable adult population in the United States.
METHODS: We used data of 2018 National Health Interview Survey (NHIS). Our study sample is limited to adults age 40 or older to be consistent with the American Heart Association/American College of Cardiology Foundation (AHA/ACCF) guidelines for aspirin use. Linear probability models were used to test the association between patient\'s aspirin use behaviors and the variables of interest in four separate models.
RESULTS: Our results show that the use of aspirin for CVD prevention was associated with online health information seeking in different ways. When patients received doctors\' advice to use aspirin, online information seeking has a negative influence, depending on whether the individual has CVD risk factors. However, for patients without recommendations from providers, the effects of online information seeking on self-initiated aspirin use depend on the different types of preventions (primary vs. secondary) and CVD risk factors.
CONCLUSIONS: Overall, online health information might lead to both overuse and underuse of aspirin in CVD preventions. Findings in this study may lead to decision-making that is not consistent with advice from healthcare professionals and/or established clinical guidelines.

The ability to access, understand, judge, and use health information is crucial for making informed decisions about health and optimal health outcomes. This secondary data analysis investigated associations between social determinants of health and Australian women\'s ability to access and understand health information using data from 10,652 women who responded to the 2022 National Women\'s Health Survey. A score (0-5) was created based on five questions assessing the participants\' ability to access and understand health information, which was dichotomised into low (≤3) and high (≥4) scores. The data were analyzed using descriptive statistics, univariate comparisons, and multivariable binary logistic regression. Almost a quarter of the women had a low score. Non-native English speakers were approximately four times more likely to have low health literacy than native English speakers. Additionally, women without tertiary education, financially disadvantaged women, and First Nations women were almost twice as likely to have lower health literacy than other women. These findings suggest that social determinants of health decrease the capacity to access and understand health information. To reduce health inequalities, healthcare systems and health professionals must consider the factors that reduce women\'s capacity to access and understand health information and address the health information needs of socioeconomically disadvantaged women.

BACKGROUND: The increasing use of information technology in the field of health is supposed to promote users\' empowerment but can also reinforce social inequalities. Some health authorities in various countries have developed mechanisms to offer accurate and relevant information to health care system users, often through health websites. However, the evaluation of these sociotechnical tools is inadequate, particularly with respect to differences and inequalities in use by social groups.
OBJECTIVE: Our study aims to evaluate the access, understanding, appraisal, and use of the French website Santé.fr by users according to their socioeconomic position and perceived health status.
METHODS: This cross-sectional study involves the entire French population to which Santé.fr is offered. Data will be collected through mixed methods, including a web-based questionnaire for quantitative data and interviews and focus groups for qualitative data. Collected data will cover users\' access, understanding, appraisal, and use of Santé.fr, as well as sociodemographic and socioeconomic characteristics, health status, and digital health literacy. A validation of the dimensions of access, understanding, appraisal, and use of Santé.fr will be conducted, followed by principal component analysis and ascendant hierarchical classification based on the 2 main components of principal component analysis to characterize homogeneous users\' profiles. Regression models will be used to investigate the relationships between each dimension and socioeconomic position and health status variables. NVivo 11 software (Lumivero) will be used to categorize interviewees\' comments into preidentified themes or themes emerging from the discourse and compare them with the comments of various types of interviewees to understand the factors influencing people\'s access, understanding, appraisal, and use of Santé.fr.
RESULTS: Recruitment is scheduled to begin in January 2024 and will conclude when the required number of participants is reached. Data collection is expected to be finalized approximately 7 months after recruitment, with the final data analysis programmed to be completed around December 2024.
CONCLUSIONS: This study would be the first in France and in Europe to evaluate a public health information service, in this case the Santé.fr website (the official website of the French Ministry of Health), according to users\' socioeconomic position and health status. The study could discover issues related to inequalities in access to, and the use of, digital technologies for obtaining health information on the internet. Given that access to health information on the internet is crucial for health decision-making and empowerment, inequalities in access may have subsequent consequences on health inequalities among social categories. Therefore, it is important to ensure that all social categories have access to Santé.fr.
UNASSIGNED: PRR1-10.2196/51123.

Social media influencers increasingly make health recommendations on social media. Research on influencer health messaging is mixed in that some studies show it can result in misleading or harmful health information, and others demonstrate it can lead to beneficial behavioral outcomes. However, there is little research on young adults\' beliefs about following health guidance from influencers. Guided by the reasoned action approach, this study examined young adults\' attitudes, normative beliefs, and control in seeking health information from social media influencers using focus groups (n = 31). Results suggest that young adults obtain health information from influencers and perceive them as a source of health education. Several barriers to getting health information from influencers were mentioned, including sponsorship, lack of credibility, and perceived normative pressure to critically analyze influencer content from peers and family. Practical and theoretical implications for future research are discussed.