‘Have you seen what is on Facebook?’ The use of social networking software by healthcare professions students
Bibliographic record
Abstract
OBJECTIVE: The use of social networking software has become ubiquitous in our society. The aim of this study was to explore the attitudes and experiences of healthcare professional students using Facebook at our school, to determine if there is a need for development of policy to assist students in this area. DESIGN: A mixed-methods approach was employed, using semistructured interviews to identify themes which were explored using an online survey. A combination of descriptive statistics and thematic analysis was used for analysis. SETTING: Healthcare professions education programmes at a large Canadian university. PARTICIPANTS: Students of medicine, nursing, pharmacy, speech and language pathology, occupational therapy, physical therapy, dentistry, dental hygiene and medical laboratory Science were invited to participate. 14 participants were interviewed, and 682 participants responded to an online survey; the female:male balance was 3 : 1. RESULTS: 14 interviews were analysed in-depth, and 682 students responded to the survey (17% response rate). 93% reported current Facebook use. Themes identified included patterns of use and attitudes to friendship, attitudes to online privacy, breaches of professional behaviour on Facebook and attitudes to guidelines relating to Facebook use. A majority considered posting of the following material unprofessional: use of alcohol/drugs, crime, obscenity/nudity/sexual content, patient/client information, criticism of others. 44% reported seeing such material posted by a colleague, and 27% reported posting such material themselves. A majority of participants agreed that guidelines for Facebook use would be beneficial. CONCLUSIONS: Social networking software use, specifically Facebook use, was widespread among healthcare students at our school who responded to our survey. Our results highlight some of the challenges which can accompany the use of this new technology and offer potential insights to help understand the pedagogy and practices of Facebook use in this population, and to help students navigate the dilemmas associated with becoming 21st century healthcare professionals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".