Effects of Health Technology Use and Digital Health Engagement on Clinical Trial Participation: Findings from the Health Information National Trends Survey
Peiper, N. C.; Furmanek, S.; McCants, K. C.; Brown, E. H.
Show abstract
BackgroundClinical trials are critical to scientific advances and medical progress, although awareness and participation remain low in the general population. The existing literature indicates that clinical trial knowledge and participation is multifactorial. Yet, little is known about the association between clinical trial participation with health technology use and digital health engagement to search for health information, interact with medical providers, and seek health supports. ObjectiveExamine the multivariate association between clinical trial knowledge and participation with past-year health technology use and digital health engagement with medical providers. DesignCross-sectional data from a federal surveillance system. ParticipantsA total of 3,865 US adult respondents from the Health Information National Trends Survey 5, Cycle 4 conducted in 2020. Main MeasuresThe two outcomes were clinical trial knowledge (no knowledge, a little knowledge, a lot of knowledge) and participation (never invited, invited did not participate, invited and participated). There were four binary indicators of health technology use for the following purposes in the past year: searching for health or medical information, communicating with a doctors office, looking up medical test results, and making medical appointments. There were four binary indicators of digital health engagement in the past year: sharing health information on social media, participating in a health forum or support group, watching health-related videos on YouTube, and awareness of ClinicalTrials.gov. Key ResultsSurvey-weighted multivariate regression models demonstrated that awareness of ClinicalTrials.gov had the largest associations with clinical trial knowledge and participation. Digital technology use to engage with medical providers and electronic health records was associated with clinical participation, although the vast majority of respondents had never been invited. ConclusionsFindings from this study can inform the design of large-scale digital health campaigns and quality improvement programs focused on increasing clinical trial participation.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Factors Influencing Precision Medicine Knowledge and Attitudes 94%
- Sources of Successful Participant Engagement in a Public Health Research Study: a Focus on a Latino Community 93%
- Identifying subgroups with differential levels of service response to a digital screening and service navigation program for unmet social care needs 93%
Similar papers in this journal
- Has the pandemic enhanced and sustained digital health-seeking behaviour? A big data interrupted time-series analysis of Google Trends 94%
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 94%
- Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening: Higher FIT Test Adoption Among Spanish-Speaking Patients 93%
Similar papers in this journal
- Can co-designed educational interventions help consumers think critically about asking ChatGPT health questions? Results from a randomised-controlled trial 95%
- Digital Health Tools for the Passive Monitoring of Depression: A Systematic Review of Methods 92%
- Simulated Misuse of Large Language Models and Clinical Credit Systems 92%
Similar papers in this journal
- A community-engaged mHealth intervention to increase uptake of HIV Pre-Exposure Prophylaxis (PrEP) among gay, bisexual and other men who have sex with men in China: Study protocol for a pilot randomized controlled trial 92%
- Community-Based Culturally Tailored Education Programs for Black Adults with Cardiovascular Disease, Diabetes, Hypertension, and Stroke: A Systematic Review Protocol 92%
- Wireless physical activity monitor use among adults living with HIV in a community-based exercise intervention study: a quantitative longitudinal observational study 91%
Similar papers in this journal
- A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data 91%
- INSIGHT: A Tool for Fit-for-Purpose Evaluation and Quality Assessment of Observational Data Sources for Real World Evidence on Medicine and Vaccine Safety 89%
- Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.