ReviewJournal of medical Internet research2019
Criteria to Measure Social Media Value in Health Care Settings: Narrative Literature Review.
Review 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 11 papers.
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
11 citing papers in PubMed, 33 citations in OpenAlex.
- Effectiveness of a Social Media-Based Life Review Intervention on Happiness in Advanced Cancer Patients and Their Family Caregivers: A Mixed-Methods Study.Psycho-oncology · 2026Trial
- Understanding How Discourse Themes in an Online Mental Health Community on Twitter/X Drive Varied Population-Specific Empowerment Processes in Alignment With Global Standards: A Qualitative Analysis of #BipolarClub.Journal of medical Internet research · 2025Article
- How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of #BipolarClub.Journal of medical Internet research · 2024Article
- The association of social networks with the job performance of primary health care professionals: the mediating effect of knowledge sharing.Frontiers in medicine · 2024Article
- Primary Perspectives in Meme Utilization as a Digital Driver for Medical Community Engagement and Education Mobilization: Pre-Post Study.JMIR human factors · 2023Article
- Italian Nurses' experiences during the COVID-19 pandemic: a qualitative analysis of internet posts.International nursing review · 2021Article
- Machine Learning for Mental Health in Social Media: Bibliometric Study.Journal of medical Internet research · 2021Review
- How Health Care Organizations Approach Social Media Measurement: Qualitative Study.JMIR formative research · 2020Article
- Change in practice in gynecologic oncology during the COVID-19 pandemic: a social media survey.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2020Article
- Medical information and social media in the time of COVID-19.Respirology (Carlton, Vic.) · 2020Article
- Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the growing use of social media in health care settings, there is a need to measure outcomes resulting from its use to ensure continuous performance improvement. Despite the need for measurement, a unified approach for measuring the value of social media used in health care remains elusive.
objectiveThis study aimed to elucidate how the value of social media in health care settings can be ascertained and to taxonomically identify steps and techniques in social media measurement from a review of relevant literature.
methodsA total of 65 relevant articles drawn from 341 articles on the subject of measuring social media in health care settings were qualitatively analyzed and synthesized. The articles were selected from the literature from diverse disciplines including business, information systems, medical informatics, and medicine.
resultsThe review of the literature showed different levels and focus of analysis when measuring the value of social media in health care settings. It equally showed that there are various metrics for measurement, levels of measurement, approaches to measurement, and scales of measurement. Each may be relevant, depending on the use case of social media in health care.
conclusionsA comprehensive yardstick is required to simplify the measurement of outcomes resulting from the use of social media in health care. At the moment, there is neither a consensus on what indicators to measure nor on how to measure them. We hope that this review is used as a starting point to create a comprehensive measurement criterion for social media used in health care.
Indexed as
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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.