ArticleJournal of medical Internet research2019
Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods to derive composite indicators used for quality and safety measurement and monitoring in healthcare: a scoping review.Frontiers in health services · 2026Pooled it
- YouTube as a source for clavicle fracture education: a quality, comprehensibility, and reliability assessment.JSES reviews, reports, and techniques · 2026Article
- Assessing the educational quality of YouTube videos on celiac plexus blocks: Expert review and AI-based evaluation.Interventional pain medicine · 2026Article
- YouTube® on carbohydrate counting for diabetes management: a quality and content analysis of Arabic videos.The Journal of the Egyptian Public Health Association · 2025Article
- Knowledge of Clinical Trials Among US Cancer Survivors: Cross-Sectional Study of HINTS-SEER Data.JMIR cancer · 2025Article
- Investigating the Association of Subjective Numeracy, Interpersonal Communication, and Perceived Discrimination With Watching Health-Related Videos on Social Media Platforms: Cross-Sectional Analysis.JMIR formative research · 2025Article
- Article
- Conveying Sport Nutrition Information in YouTube Videos: A Qualitative Content Analysis of Dietary Advice and Ways of Communication.Current developments in nutrition · 2025Article
- Assessing the quality and reliability of youtube information on hypertension: a comprehensive analysis.Journal of human hypertension · 2025Observational
- Quality and Reliability Analysis of YouTube as a Source of Patient Information on de Quervain's Tenosynovitis.Journal of wrist surgery · 2025Article
- Ethnic Disparities in Patient-Centered Communication with Healthcare Providers: A Comparison of Non-Hispanic Asians and Non-Hispanic Whites.Journal of racial and ethnic health disparities · 2025Article
- Analysis of the quality of vulvar cancer-related videos on YouTube.Translational cancer research · 2025Article
- Quality assessment of short videos on health science popularization in China: scale development and validation.Frontiers in public health · 2025Article
- Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote.Frontiers in public health · 2025Article
- Harnessing technology to enhance oral health literacy among Afghan women: an interprofessional community-engaged initiative.Frontiers in public health · 2025Article
- Evaluating pre-consult patient education videos for patients with newly-diagnosed anal squamous cell carcinoma: Impact on patient comprehension, satisfaction and distress.Technical innovations & patient support in radiation oncology · 2024Article
- Is it safe? Health promotion videos on YouTube and the safety of viewers - Views from Ghana.Preventive medicine reports · 2024Article
- Evaluating YouTube as a Good Resource for Enhancing Patient Understanding of Heart Failure.Cureus · 2024Article
- The quality and reliability of patient education regarding sound therapy videos for tinnitus on YouTube.PeerJ · 2024Article
- The association between electronic health information usage and patient-centered communication: a cross sectional analysis from the Health Information National Trends Survey (HINTS).BMC health services research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundApproximately 73% of US adults use YouTube, making it the most popular social media platform. Misinformation on social media is a growing concern; recent studies show a high proportion of misinformative health-related videos. Several studies on patient-provider communication and general health information seeking have been conducted. However, few studies to date have examined the potential association between patient-provider communication and health information seeking on specific social media platforms such as YouTube. A better understanding of this relationship may inform future health communication interventions.
objectiveThe aim was to use nationally representative cross-sectional data to describe the association between perceived patient-provider communication quality and sociodemographic factors on watching YouTube health-related videos.
methodsData from the 2018 Health Information National Trends Survey were analyzed (N=3504). The primary outcome was whether participants watched a health-related video on YouTube over the past 12 months. A patient-provider communication composite score was created by summing responses about how often providers did the following: (1) gave you the chance to ask all the health-related questions you had, (2) gave attention to your feelings, (3) involved you in health care decisions as much as you wanted, (4) made sure that you understood the things you needed to do to take care of your health, (5) explained things in a way that you could understand, (6) spent enough time with you, and (7) helped you deal with feelings of uncertainty. Sociodemographic factors included age, gender, race/ethnicity, and education. Descriptive statistics and multivariable logistic regression were conducted.
resultsApproximately 1067 (35% weighted prevalence) participants reported watching a health-related video on YouTube. Higher perceived quality of patient-provider communication on the composite score was significantly associated with lower odds of watching health-related videos on YouTube. Regarding sociodemographic factors, increasing age and being a high school graduate (compared with college graduate) were associated with lower odds of watching health-related videos on YouTube; whereas, Hispanic and non-Hispanic Asians were more likely to have watched a health-related video on YouTube. For individual aspects of patient-physician communication, two of seven patient-provider communication variables were significant. Those who reported that providers "sometimes" spent enough time with them had higher odds of watching a health-related video on YouTube, compared with those who said providers "always" spent enough time with them. Participants reporting that they "never" have a chance to ask all their health-related questions also had higher odds of watching health-related videos on YouTube compared with those who reported "always."
conclusionsHigher perceived quality of patient-provider communication is associated with lower odds of watching health-related videos on YouTube. When providers do not spend enough time or give an opportunity to ask questions, patients are more likely to pursue health information on social media.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.