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.

Background: 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.

Latino adolescents' experiences of residential risks on social media and mental health implications.

Despite alarms raised that adolescents' social media use can aggravate the harmful impact of residential risks (e.g. local violence) to their mental health, the mechanisms are poorly understood.

Patient-provider relationships and long COVID: A cross-sectional survey about impact on quality of life.

Background: In the United States (U.S.), it is estimated that 17.

The Double-Edged Sword of Online Learning for Ethnoracial Differences in Adolescent Mental Health During Late Period of the COVID-19 Pandemic in the United States: National Survey.

Background: Despite several theories suggesting online learning during the COVID-19 pandemic would aggravate ethnoracial disparities in mental health among adolescents, extant findings suggest no ethnoracial differences in mental health or that those from minoritized ethnoracial groups reported better mental health than their White counterparts.

Objective: This study aimed to identify why findings from prior studies appear to not support that ethnoracial disparities in mental health were aggravated by testing 2 pathways. In pathway 1 pathway, online learning was associated with reporting fewer confidants, which in turn was associated with poorer mental health.

School modality, race and ethnicity, and mental health of U.S. adolescents during the COVID-19 pandemic.

Background: While minoritized ethnoracial groups were most likely to be in online learning during the COVID-19 pandemic, the impact of these ethnoracial disparities on adolescent mental health is unclear. Since past studies do not directly examine whether the association between school modality and self-reported mental health outcomes varied by race and ethnicity among U.S.

"The dream is that there's one place you go": a qualitative study of women's experiences seeking care from Long COVID clinics in the USA.

Background: Seeking and obtaining effective health care for Long COVID remains a challenge in the USA. Women have particularly been impacted, as they are both at higher risk of developing Long COVID and of facing gendered barriers to having symptoms acknowledged. Long COVID clinics, which provide multidisciplinary and coordinated care, have emerged as a potential solution.

Who supports Bernie? Analyzing identity and ideological variation on Twitter during the 2020 democratic primaries.

Using a novel dataset of 590M messages by 21M users, we present the first large-scale examination of the behavior of likely Bernie supporters on Twitter during the 2020 U.S. Democratic primaries and presidential election.

Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses.

We investigated how artificial intelligence (AI) reveals factors shaping COVID-19 vaccine hesitancy among healthcare providers by examining their open-text comments. We conducted a longitudinal survey starting in Spring of 2020 with 38,788 current and former female nurses in three national cohorts to assess how the pandemic has affected their livelihood. In January and March-April 2021 surveys, participants were invited to contribute open-text comments and answer specific questions about COVID-19 vaccine uptake.

Patient-centered communication, disparities, and patient portals in the US, 2017-2022.

Objectives: To identify the relationship between patient-centered communication and portal offers and use among insured adult patients and to understand the role of patient-centered communication in equitable access to portals.

Study Design: Using data from 4 cycles of the Health Information National Trends Survey across 2017-2022, we determined how patient-centered communication and sociodemographic characteristics of adult insured patients in the US are associated with offers of and access to online patient portals.

Methods: We conducted multivariable logistic regression analysis to examine associations of patient-centered communication and sociodemographic characteristics of adult insured patients in the US with offers of and access to online patient portals.

Telehealth use in 2022 among US adults by sexual orientation.

Objectives: To address a lack of research documenting telehealth use and experiences among sexual minority individuals during the COVID-19 pandemic and inform health care policies beyond the pandemic.

Study Design: Secondary analysis of the 2022 Health Information National Trends Survey (HINTS), a cross-sectional survey representative of US adults.

Methods: We estimated multivariable probit regressions to understand how sexual orientation was associated with reporting telehealth use, modality (video only, telephone only, both), and experiences, including the reason for, subject of most recent, and quality of the telehealth visit.

Impact of Beliefs About Local Physician Supply and Self-Rated Health on Willingness to See a Nurse Practitioner During the COVID-19 Pandemic: Web-Based Survey and Experiment.

Background: The COVID-19 pandemic overburdened primary care clinicians. For nurse practitioners (NPs) to alleviate the burden, the public must be willing to see an NP over a physician. Those with poor health tended to continue seeking care during the pandemic, suggesting that they may be willing to see an NP.

Factors Affecting Physicians' Credibility on Twitter When Sharing Health Information: Online Experimental Study.

Background: Largely absent from research on how users appraise the credibility of professionals as sources for the information they find on social media is work investigating factors shaping credibility within a specific profession, such as physicians.

Objective: We address debates about how physicians can show their credibility on social media depending on whether they employ a formal or casual appearance in their profile picture. Using prominence-interpretation theory, we posit that formal appearance will affect perceived credibility based on users' social context-specifically, whether they have a regular health care provider.

Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media.

Background: Medication-assisted treatment (MAT) is an effective method for treating opioid use disorder (OUD), which combines behavioral therapies with one of three Food and Drug Administration-approved medications: methadone, buprenorphine, and naloxone. While MAT has been shown to be effective initially, there is a need for more information from the patient perspective about the satisfaction with medications. Existing research focuses on patient satisfaction with the entirety of the treatment, making it difficult to determine the unique role of medication and overlooking the views of those who may lack access to treatment due to being uninsured or concerns over stigma.

Disparities in patient portal access by US adults before and during the COVID-19 pandemic.

Objective: Online patient portals become important during disruptions to in-person health care, like when cases of coronavirus disease 2019 (COVID-19) and other respiratory viruses rise, yet underlying structural inequalities associated with race, socio-economic status, and other socio-demographic characteristics may affect their use. We analyzed a population-based survey to identify disparities within the United States in access to online portals during the early period of COVID-19 in 2020.

Materials And Methods: The National Cancer Institute fielded the 2020 Health and Information National Trends Survey from February to June 2020.

Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study.

Background: Digital surveillance tools and health informatics show promise in counteracting diseases but have limited uptake. A notable illustration of the limits of such tools is the general failure of digital contact tracing in the United States in response to COVID-19.

Objective: We investigated the associations between individual characteristics and the willingness to use app-based contact tracing in Detroit, a majority-minority city that experienced multiple waves of COVID-19 outbreaks and deaths since the start of the pandemic.

Mental Healthcare Utilization, Modalities, and Disruptions During Spring 2021 of the COVID-19 Pandemic Among U.S. Adolescents.

Purpose: The COVID-19 pandemic fomented a mental health crisis among adolescents. The present study contributes a national snapshot of mental healthcare utilization, including disruptions, barriers, and modalities, among U.S.

State Health Department Communication about Long COVID in the United States on Facebook: Risks, Prevention, and Support.

Greater public awareness of long COVID severity and susceptibility is needed to support those with long COVID and encourage preventive behaviors. It is not yet known to what extent health departments have informed the public about long COVID risks or offered guidance and support for those with long COVID. The objective of this research was to determine how and to what extent US state health departments have communicated with the public about long COVID via Facebook.

Seeking Help From Trusted Adults in Response to Peers' Social Media Posts About Mental Health Struggles: Qualitative Interview Study Among Latinx Adolescents.

Background: Rather than confiding in adults about their mental health struggles, adolescents may use social media to disclose them to peers. Disclosure recipients are tasked with deciding whether to alert an adult and, if so, whom to alert. Few studies have examined how adolescents decide on a trusted adult to help a friend who posts on social media about his/her mental health struggles.

Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: a secondary analysis of a US survey of internet users from late March.

Objective: Widespread technological changes, like the rapid uptake of telehealth in the US during the COVID-19 pandemic, risk creating or widening racial/ethnic disparities. We conducted a secondary analysis of a cross-sectional, nationally representative survey of internet users to evaluate whether there were racial/ethnic disparities in self-reported telehealth use early in the pandemic.

Materials And Methods: The Pew Research Center fielded the survey March 19-24, 2020.

Gender Divides in Engagement With COVID-19 Information on the Internet Among U.S. Older Adults.

Objective: Gender and age disparities in older adults' exposure to pandemic stressors may create different needs for engaging with COVID-19 information, yet mitigation strategies to curb spreading COVID-19 inhibit their access to preferred in-person information networks. To inform the design of Internet-based interventions for older adults, the current study of U.S.

Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis.

Background: Public health surveillance experts are leveraging user-generated content on social media to track the spread and effects of COVID-19. However, racial and ethnic digital divides, which are disparities among people who have internet access and post on social media, can bias inferences. This bias is particularly problematic in the context of the COVID-19 pandemic because due to structural inequalities, members of racial and ethnic minority groups are disproportionately vulnerable to contracting the virus and to the deleterious economic and social effects from mitigation efforts.

Trust and Privacy: How Patient Trust in Providers is Related to Privacy Behaviors and Attitudes.

Healthcare today requires extensive sharing and access to patient health information. The use of health information technology (health IT) exacerbates patients' privacy concerns because it expands the availability of patient data to numerous members of the healthcare team. Patient concerns about the privacy of their data may be associated with nondisclosure of their information to providers.

Why Most of Your Patients Aren't Using an Online Portal, and What You Can Do About It.

Online portals that provide patients with secure access to their medical records and provider communication can improve health care. Yet new technologies can also exacerbate existing health disparities. We analyzed information about 2,325 insured respondents to the nationally representative 2017 Health Information National Trends Survey to examine characteristics of portal nonusers and reasons for nonuse.