PP33 Lived experiences of paramedics across England during the COVID-19 outbreak; initial results. Poster Presentation
Bibliographic record
Abstract
Background Paramedics are experiencing numerous policy and guideline changes in addition to facing enhanced risk of personal exposure during the COVID-19 pandemic. The COVID-19 outbreak offers an opportunity to capture the experiences of paramedics during substantial and rapid changes to workplace policy, guidelines, and professional roles in the healthcare system. To date, this ongoing study has captured a better understanding of the lived experiences of English paramedics. Method Data were collected through an online survey, consisting of QUAN +QUAL questions. The study, theoretically grounded in a phenomenological approach, employed inductive thematic analysis to code the data. QUAN answers were analysed using descriptive statistics and chi-square to test for association between demographic data and answers. Results A total of 34 survey responses from September – December 2020 have been received from across England, with the survey remaining open. Major themes to date have identified both professional and personal elements. There is a feeling of increased pressure related to public expectation, with noted increases in call volumes in some areas. There has been a change to the workforce and increased levels of sickness. The type and level of PPE as well as employer communication varies depending on the area respondents work in. Many participants also expressed increased stress, exhaustion and anxiety negatively impacting their mental health. Conclusions Early results confirm a need for paramedics to adapt professional approaches to overcome barriers presented by COVID-19. There appears to be a disparity in the amount of communication, PPE and support depending on the area worked in. Respondents are fatigued and worried about others, including families. Yet, there remains a clear professional attitude and commitment to providing care throughout the pandemic. The survey remains open with a comparison of data between Canada and England planned.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".