Emergency Medical Service Providers' Attitudes andExperiences Regarding Enrolling Patients in Clinical Research Trials
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to evaluate Emergency Medical Services (EMS) providers' attitudes and experiences about enrolling patients in clinical research trials utilizing the federal rules for exception from informed consent. We hypothesized that Emergency Medical Technicians (EMTs) would have varied attitudes about research using an exception from informed consent which could have an impact on the research. METHODS AND SETTING: Since January 2007, the EMS system has been participating in a randomized, multi-center interventional trial in which out-of-hospital providers enroll critically injured trauma patients using exception from informed consent.A voluntary, anonymous, written survey was administered to EMS providers during an in-service. The survey included demographics and Likert-type questions about their experiences with and attitudes towards research in general, and research using an exception from informed consent for an out-of-hospital clinical trial. RESULTS: The response rate was 79.3% (844/1067). Most respondents, 93.3%, agreed that "research in EMS care is important." However, 38.5% also agreed that individual EMTs/paramedics should maintain the personal right of refusal to enroll patients in EMS trials. Fifty-four percent of respondents agreed with the statement that "the right of research subjects to make their own choices is more important than the interests of the general community." In response to statements about the current study, 11.3% agreed that "the study is unethical because the patient cannot consent" and 69.2% responded that they would personally be willing to be enrolled in the study before they were able to give consent if they were seriously injured. Those who had not enrolled a patient into the study (681 respondents) were asked their reasons: 76.8% had not encountered an eligible patient or did not work for an agency that carried the fluid; 4.3% did not have time; 4.1% forgot and 1.1% stated that they were opposed to enrolling patients in studies without their consent. CONCLUSION: The majority of EMS personnel in one community support EMS research and this specific out-of-hospital clinical trial being conducted under an exception from informed consent. Potential barriers to enrollment were identified. Further study in other systems is warranted to better understand EMS provider perspectives about exception from informed consent research.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.152 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".