ArticleJournal of medical Internet research2013
Internet and social media for health-related information and communication in health care: preferences of the Dutch general population.
Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses 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
59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 159 citations in OpenAlex.
- Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence.Journal of medical Internet research · 2020Pooled it
- Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Vaccinating for My Family or for My Community? The Effect of Message Framing on Parental Intention to Vaccinate during the COVID Pandemic.International journal of behavioral medicine · 2025Trial
- Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis.International journal of environmental research and public health · 2020Trial
- Sugarsquare, a Web-Based Patient Portal for Parents of a Child With Type 1 Diabetes: Multicenter Randomized Controlled Feasibility Trial.Journal of medical Internet research · 2017Trial
- The influence of pregnant women's personality traits and well-being on internet-based decision-making and coping styles with stress.BMC pregnancy and childbirth · 2026Article
- Autism stigma, knowledge, attitude, and quality of life predictors among autistic children's caregivers.Frontiers in psychology · 2026Article
- Social media use and depression among middle-aged and older Chinese adults: mediating roles of health literacy and perceived social support.Frontiers in public health · 2026Article
- Quality Analysis of Stroke-Related Videos on Video Platforms: Cross-Sectional Study.JMIR formative research · 2025Article
- Medical vs. Organizational Complaints: A Machine Learning Analysis Reveals Divergent Patterns in Patient Reviews Across Russian Cities.Healthcare (Basel, Switzerland) · 2025Article
- Assessing the content and quality of GI bleeding information on Bilibili, TikTok, and YouTube: a cross-sectional study.Scientific reports · 2025Article
- The Digital Health Revolution: Exploring the Impact of Online Cancer Information on Self-Reported Preventive Behaviors.medRxiv : the preprint server for health sciences · 2024Article
- The Impact of Mobile Social Media Use on Depressive Mood Among College Students: A Chain Mediating Effect of Upward Social Comparison and Cognitive Overload.Psychology research and behavior management · 2024Article
- The status quo of short video as sources of health information on gastroesophageal reflux disease in China: a cross-sectional study.Frontiers in public health · 2024Article
- Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- The relationship between habitual water intake and dry eye disease.Acta ophthalmologica · 2023Article
- Identification of the informational and supportive needs of patients diagnosed with inflammatory bowel disease: a scoping review.Frontiers in psychology · 2023Article
- U-shaped association between online information exchange and app usage frequency: a large-scale survey of China 's online young and middle-aged people with pre diabetes and diabetes.Frontiers in endocrinology · 2023Article
- A study to assess the efficacy of print and digital health communication media tools (HCMT) in rural and urban communities.F1000Research · 2023Article
- Factors Associated with the Patient/Client Use of Report Cards, Physician Rating Websites, Social Media, and Google for Hospital and Physician Selection: A Nationwide Survey.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth care is increasingly featured by the use of Web 2.0 communication and collaborative technologies that are reshaping the way patients and professionals interact. These technologies or tools can be used for a variety of purposes: to instantly debate issues, discover news, analyze research, network with peers, crowd-source information, seek support, and provide advice. Not all tools are implemented successfully; in many cases, the nonusage attrition rates are high. Little is known about the preferences of the Dutch general population regarding the use of the Internet and social media in health care.
objectiveTo determine the preferences of the general population in the Netherlands regarding the use of the Internet and social media in health care.
methodsA cross-sectional survey was disseminated via a popular Dutch online social network. Respondents were asked where they searched for health-related information, how they qualified the value of different sources, and their preferences regarding online communication with health care providers. Results were weighed for the Dutch population based on gender, age, and level of education using official statistics. Numbers and percentages or means and standard deviations were presented for different subgroups. One-way ANOVA was used to test for statistical differences.
resultsThe survey was completed by 635 respondents. The Internet was found to be the number one source for health-related information (82.7%), closely followed by information provided by health care professionals (71.1%). Approximately one-third (32.3%) of the Dutch population search for ratings of health care providers. The most popular information topics were side effects of medication (62.5%) and symptoms (59.7%). Approximately one-quarter of the Dutch population prefer to communicate with a health care provider via social media (25.4%), and 21.2% would like to communicate via a webcam.
conclusionsThe Internet is the main source of health-related information for the Dutch population. One in 4 persons wants to communicate with their physician via social media channels and it is expected that this number will further increase. Health care providers should explore new ways of communicating online and should facilitate ways for patients to connect with them. Future research should aim at comparing different patient groups and diseases, describing best practices, and determining cost-effectiveness.
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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.