ArticleDigital health
Evaluating perceptions of social media professionalism by healthcare workers.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Social media use has expanded rapidly across healthcare, creating opportunities for professional networking, patient engagement, and education. However, difficulties have arisen in workplace support of social media use as opinions on professionalism differ among generations. There is no consensus on how social media professionalism is defined and enforced. Our objective is to examine healthcare professionals' perceptions of professional versus unprofessional social media behaviors, explore generational differences, and identify gaps in training and institutional guidelines. Methods: We conducted a cross-sectional, quantitative survey at a large academic medical center. The survey, developed and pilot-tested for clarity and content validity, was distributed via institutional listservs to medical students, nurses, advanced practice providers, and physicians across multiple specialties. Respondents reported demographics, social media usage patterns, account types, and views on appropriateness of specific content for private versus public accounts. Bivariate analyses using chi-square and Fisher's exact tests were carried out to compare responses across age groups. Results: Of 389 consenting participants, 260 (67%) completed the survey. Most respondents were female (75.4%) and White (75.2%). Facebook and Instagram were the most common platforms (51.5% each). Generational differences emerged: younger participants (18-40 years) were more permissive of personal and lifestyle posts, while older groups (41-60 and 60+) were more restrictive. Most participants (84%) reported never receiving formal training on social media professionalism, though 69.8% endorsed its value, particularly at the medical school level. Awareness of standardized institutional guidelines was limited (43%). Conclusions: Generational differences influence perceptions of social media professionalism in healthcare. Despite widespread social media use, formal training and guideline awareness remain limited. These findings support the need for structured education on digital professionalism and clearer institutional policies to balance personal expression with professional standards.
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.