The association between YouTube use and knowledge of human papillomavirus-related cancers by Vanessa G. Dorismond, W. John Boscardin, George F. Sawaya

“…Study design: Cross-sectional study using data from the Health Information National Trends survey conducted between 2017 and 2020 (N = 16,092). …”
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The Effects of the Use of Patient-Accessible Electronic Health Record Portals on Cancer Survivors’ Health Outcomes: Cross-sectional Survey Study by Piper Liping Liu, Xinshu Zhao, Jizhou Francis Ye

“…MethodsData for this study were derived from the Health Information National Trends Survey (HINTS 5, Cycle 4) collected from February 2020 to June 2020. …”
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Patient–provider communication quality: Socioeconomic disparities in smoking outcomes by Soumya Upadhyay, Jalen Jones

“…Methods A pooled cross-sectional design was used on secondary data obtained from the Health Information National Trends Survey (HINTS) 5 from Cycle 1 through Cycle 4, from 2017–2022. …”
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Factors Affecting the Extent of Patients’ Electronic Medical Record Use: An Empirical Study Focusing on System and Patient Characteristics by Lavlin Agrawal, Theophile Ndabu, Pavankumar Mulgund, Raj Sharman

“…MethodsWe used secondary data collected by Health Information National Trends Survey 5 cycle 3 and performed survey data analysis using structural equation modeling technique to test our hypotheses. …”
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Clinical Cancer and Direct-to-Consumer Genetic Test Result-Sharing Behavior: Findings from HINTS 2020 by Sukh Makhnoon, Robert Yu, Susan K Peterson, Sanjay Shete

“…Methods: Using nationally representative population-based data collected from the Health Information National Trends Survey (HINTS 5, cycle 4), we identified the prevalence and factors associated with genetic test result-sharing behavior for high-risk cancer tests, genetic health risk tests, and ancestry tests within four groups: HCP/GCs, first-degree relatives (FDRs), spouse/partner, and friend/other. …”
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The influence of political ideology on awareness of HPV and HPV vaccine among adults in the United States by Onyema Greg Chido-Amajuoyi, Henry Onyeaka, Hermioni L. Amonoo, Sanjay Shete

“…Study data were derived from Health Information National Trends Survey 5 Cycle 4, a 2020 cross-sectional survey of US adults. …”
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Characteristics of the Measurement Tools for Assessing Health Information–Seeking Behaviors in Nationally Representative Surveys: Systematic Review by Hanna Choi, Gyeonghui Jeong

“…Five survey tools (Health Information National Trends Survey, Health Tracking Survey, Annenberg National Health Communication Survey, National Health Interview Survey, and Health Tracking Household Survey) from the United States, 2 instruments from Germany, and 1 tool from each of the countries of the European Union, France, Israel, Poland, South Korea, and Taiwan were identified. …”
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Risks Associated with Quality Care among Hispanic and White Populations—A Cross-Sectional Comparison Study by Ching-Fang Tiffany Tzeng, Thomas Swoboda, Charles Huggins, James D’Etienne, Hao Wang

“…This cross-sectional study used the data from the Health Information National Trends Survey 6 (HINTS 6), which collects data on various aspects of health communication and information-seeking behaviors, to investigate the factors associated with quality care among White and Hispanic populations. …”
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Is There an Association between the Use of Social Media and Self-Rated Health? by Kholisani Ndlovu, Lebogang M. Ramalepe, Nwamaka C. Nwogwugwu, Bukola G. Olutola

“…This study used the 2022 Health Information National Trends Survey for American adults. A statistical analysis was conducted using Chi-square and multivariable logistic regression. …”
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Prevalence and Age-Related Patterns in Health Information–Seeking Behaviors and Technology Use Among Skin Cancer Survivors: Survey Study by Michael Armando Marchetti, Liliane Sar-Graycar, Stephen W Dusza, Japbani K Nanda, Nicholas Kurtansky, Veronica M Rotemberg, Jennifer L Hay

“…MethodsWe analyzed population-based data from the 2019 Health Information National Trends Survey 5 (Cycle 3). …”
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Correlates of U.S. Adults Aged 50–75 Years Having Had a Colorectal Cancer Screening Test by Aisha T. Langford, PhD, MPH, Katerina Andreadis, MS, Katrina R. Ellis, PhD, MPH, MSW, Nancy Buderer, MS

“…Methods: We analyzed self-reported data from the National Cancer Institute's Health Information National Trends Survey 5 (Cycle 4) collected from February to June 2020. …”
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Social media and partnership jointly alleviate caregivers’ psychological distress: exploring the effects of online and offline connectedness by Song Harris Ao, Luxi Zhang, Piper Liping Liu, Xinshu Zhao

“…Methods The predictions were evaluated by examining responses to the Health Information National Trends Survey 2020 (n = 3,865). A mediation analysis was conducted to test the mediating effect of psychological distress on the association between caregiving and alcohol drinking. …”
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Social Networking Service, Patient-Generated Health Data, and Population Health Informatics: National Cross-sectional Study of Patterns and Implications of Leveraging Digital Techn... by Jiancheng Ye, Zidan Wang, Jiarui Hai

“…MethodsWe drew data from the 2019 Health Information National Trends Survey of the National Cancer Institute. …”
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Approaching a decade since HPV vaccine licensure: Racial and gender disparities in knowledge and awareness of HPV and HPV vaccine by Eric Adjei Boakye, Betelihem B. Tobo, Rebecca P. Rojek, Kahee A. Mohammed, Christian J. Geneus, Nosayaba Osazuwa-Peters

“…Methods: Data from the Health Information National Trends Survey 4 Cycle 3 (September – December 2013) and Cycle 4 (August – November 2014) were analyzed for 6,862 respondents aged 18 years and older. …”
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The role of patient-centered communication scale in patients’ satisfaction of healthcare providers before and during the COVID-19 pandemic by Mohammad Tabatabai, Patricia Matthews-Juarez, Nader Bahri, Robert Cooper, Donald Alcendor, Aramandla Ramesh, Derek Wilus, Karan Singh, Paul Juarez

“…The 2020 Health Information National Trends Survey (HINTS) was used to analyze the patient’s satisfaction of HCPs. …”
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Access to online patient portals among individuals with depression and anxiety by Henry Onyeaka, Kobi V. Ajayi, Chioma Muoghalu, Precious O. Eseaton, Crystal Obi Azuike, Gibson Anugwom, Funso Oladunjoye, Kammarauche Aneni, Joseph Firth, John Torous

“…Data was pooled from 4 iterations of the Health Information National Trends Survey (2017–2020). We calculated descriptive statistics to determine the prevalence, reasons, and barriers for portal use. …”
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Socioeconomic and clinical risk factors associated with moderate intensity physical activity before and during the COVID-19 pandemic by David Adzrago, Saanie Sulley, Cameron K. Ormiston, Faustine Williams

“…Multivariable logistic regression models were conducted on 4,551 U.S. adults aged 18–64 years using nationally representative samples from the 2019 and 2020 Health Information National Trends Survey datasets. The prevalence of MIPA before the pandemic was higher (77.07%) than during the pandemic (76.21%). …”
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Association of multimorbidity with the use of health information technology by Sydney E Manning, Hao Wang, Nilanjana Dwibedi, Chan Shen, R Constance Wiener, Patricia A Findley, Sophie Mitra, Usha Sambamoorthi

“…Methods We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. …”
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Exploring factors associated with hepatitis B screening in a multilingual and diverse population by Janet N. Chu, Tung T. Nguyen, Natalie A. Rivadeneira, Robert A. Hiatt, Urmimala Sarkar

“…Methods We used questions from the Health Information National Trends Survey and added validated questions about healthcare access and health literacy. …”
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Modeling Access Across the Digital Divide for Intersectional Groups Seeking Web-Based Health Information: National Survey by Kristina Medero, Kelly Merrill Jr, Morgan Quinn Ross

“…MethodsAnalysis was conducted using data from the 2019 Health Information National Trends Survey. Our theoretical model of OHIS explicates the roles of internet access and health needs for racial and ethnic minority groups’ OHIS. …”
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