ReviewHealthcare informatics research2015
Health and social media: perfect storm of information.
Review in Healthcare informatics research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 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
60 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Older adults and online health misinformation: a systematic literature review.BMC psychology · 2026Pooled it
- Smokers' Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial.JMIR public health and surveillance · 2021Trial
- Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance.BMC medical informatics and decision making · 2026Article
- Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos.JMIR infodemiology · 2026Article
- Study on the usage behavior of incidentally encountered pet health information among pet owners in the mobile media environment.Frontiers in veterinary science · 2026Article
- Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data.BMC public health · 2025Article
- Barriers to Public Health Trust-Building Using Social Media: A Qualitative Analysis.Disaster medicine and public health preparedness · 2025Article
- HPV vaccine misinformation on social media: A multi-method qualitative analysis of comments across three platforms.PEC innovation · 2024Article
- Understanding invisible pain in the older adult: a content analysis of social media's representation of herpes zoster vaccine.Frontiers in public health · 2024Article
- Exploring trust dynamics in health information systems: the impact of patients' health conditions on information source preferences.Frontiers in public health · 2024Article
- Effects of Beliefs, Conspiracy Theories, and Vaccine Hesitancy on the Vaccination Status of Patients with Severe Mental Illness in a Tertiary Psychiatric Care Hospital in Türkiye.Psychiatry and clinical psychopharmacology · 2023Article
- Emirati Adolescents' and Young Adults' Usage of Social Media for Health Information.Children (Basel, Switzerland) · 2023Article
- Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.JMIR public health and surveillance · 2023Article
- A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Digital public health leadership in the global fight for health security.BMJ global health · 2023Article
- Online Health (Mis)Information: The Role of Medical Students.Healthcare (Basel, Switzerland) · 2022Article
- Should I trust or should I go? How people perceive and assess the quality of science communication to avoid fake news.Quality & quantity · 2022Article
- Motivational Influences Affecting Middle-Aged and Elderly Users' Participation Intention in Health-Related Social Media.International journal of environmental research and public health · 2022Article
- What Determines Vaccine Hesitancy: Recommendations from Childhood Vaccine Hesitancy to Address COVID-19 Vaccine Hesitancy.Vaccines · 2022Article
- A Qualitative Content Analysis of Cardiovascular Diseases Related Health Information Targeted at the Hui Minority on Chinese WeChat Official Accounts.Healthcare (Basel, Switzerland) · 2021Article
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
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe use of Internet in the health domain is becoming a major worldwide trend. Millions of citizens are searching online health information and also publishing content about their health. Patients are engaging with other patients in online communities using different types of social media. The boundaries between mobile health, social media, wearable, games, and big data are becoming blurrier due the integration of all those technologies. In this paper we provide an overview of the major research challenges with the area of health social media.
methodsWe use several study cases to exemplify the current trends and highlight future research challenges.
resultsInternet is exploding and is being used for health purposes by a great deal of the population. Social networks have a powerful influence in health decisions. Given the lack of knowledge on the use of health social media, there is a need for complex multidisciplinary research to help us understand how to use social networks in favour of public health. A bigger understanding of social media will give health authorities new tools to help decision-making at global, national, local, and corporate level.
conclusionsThere is an unprecedented amount of data that can be used in public health due the potential combination of data acquired from mobile phones, Electronic Health Records, social media, and other sources. To identify meaningful information from those data sources it is not trial. Moreover, new analytics tools will need to be developed to analyse those sources of data in a way that it can benefit healthcare professionals and authorities.
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.