Using social media for community consultation and public disclosure in exception from informed consent trials
Bibliographic record
Abstract
BACKGROUND: The US Food and Drug Administration and the Department of Health and Human Services outline regulations allowing an exception from informed consent (EFIC) for research conducted in an emergency setting. Acute care clinical trials using EFIC must include community consultation and public disclosure (CC/PD) activities. We describe our experience using social media to facilitate the CC/PD process in two trauma resuscitation clinical trials. METHODS: We conducted local CC/PD activities for two multicenter trauma clinical trials, Pragmatic, Randomized Optimal Platelet and Plasma Ratios (PROPPR) and Prehospital Tranexamic Acid Use for Traumatic Brain Injury (ROC-TXA). As part of the CC/PD process, we developed research study advertisements using the social media Web site Facebook. The Facebook advertisements directed users to a regional study Web site that contained trial information. We targeted the advertisements to specific demographic users, in specific geographic areas. We analyzed the data using descriptive statistics. RESULTS: During the study periods, the PROPPR Facebook advertisement was displayed 5,001,520 times (12 displays per target population) with 374 individuals selecting the advertisement. The ROC-TXA Facebook advertisement was displayed 3,806,448 times (8 per target population) with 790 individuals selecting the advertisement. Respondents to both Facebook advertisements were mostly male (52.6%), with the highest proportion between the ages 15 years and 24 years (28.2%). Collectively, 26.9% of individuals that clicked on the Facebook advertisement spent more than 3 minutes on the study Web site (3-49 minutes). Commonly accessed Web pages were "contact us" (PROPPR, 5.5%; ROC-TXA, 7.7%), "study-specific FAQs" (PROPPR, 2.4%; ROC-TXA, 6.7%), and "opt out of research" (PROPPR, 2.5%; ROC-TXA, 3.8%). Of 51 total individuals viewing the opt out of research information (PROPPR, 19; ROC-TXA, 32), time spent on that specific page was modest (PROPPR, 62 seconds; ROC-TXA, 55 seconds), with no individuals requesting to opt out of either study participation. CONCLUSIONS: In clinical trauma trials using EFIC, social media may provide a viable option for facilitating the CC/PD process.
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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 | 0.004 | 0.069 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".