Use of Facebook in a quality improvement campaign to increase adherence to guidelines in intensive care: A qualitative study of nurses’ and physicians’ experiences
Bibliographic record
Abstract
OBJECTIVES: This study aimed to explore intensive care unit nurses' and physicians' experiences with professional content provided through closed Facebook groups, as part of a quality improvement campaign to improve guideline adherence. RESEARCH METHODOLOGY: This study used an exploratory qualitative design. In June 2018, data were collected through focus groups of intensive care nurses and physicians who also were members of closed Facebook groups. Data were analysed using reflexive thematic analysis, and the study was reported according to the consolidated criteria for reporting qualitative research. SETTING: The study's setting was four intensive care units at Oslo University Hospital, Norway. Professional content on Facebook comprised audit and feedback on quality indicators on intensive care topics with related pictures, videos, and weblinks. FINDINGS: Two focus groups of 12 participants were included in this study. Two main themes were identified: 'One size does not fit all ' described that quality improvement and implementation are influenced by several factors related to current recommendations and personal preferences. Various strategies are required to serve different purposes and meet individual needs. 'Matter out of place' described conflicting experiences of being offered or exposed to professional content on Facebook. CONCLUSION: Although the audit and feedback on quality indicators presented on Facebook motivated improvements, professional content on Facebook was perceived as inappropriate. Hospital platforms with applicable features of social media, such as reach, availability, convenience, ease, and possibility for commenting, were suggested to secure professional communication about recommended practices in intensive care units. IMPLICATIONS FOR CLINICAL PRACTICE: Social media platforms may be useful for professional communication among ICU personnel, but appropriate hospital applications with available and applicable social media features are recommended and needed. The use of several platforms may still be needed to reach all.
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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 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".