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Record W2156088433 · doi:10.1136/bmjopen-2013-003013

‘Have you seen what is on Facebook?’ The use of social networking software by healthcare professions students

2013· article· en· W2156088433 on OpenAlexafffundabout
Jonathan White, Paul Kirwan, Krista Lai, Jennifer M Walton, Shelley Ross

Bibliographic record

VenueBMJ Open · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsUniversity of Alberta
FundersFaculty of Medicine and Dentistry, University of AlbertaUniversity of Alberta
KeywordsThematic analysisSocial mediaMedical educationHealth careMedicinePharmacyDescriptive statisticsNursingPsychologyQualitative research

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.471
GPT teacher head0.560
Teacher spread0.089 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations94
Published2013
Admission routes3
Has abstractyes

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