Type ll Diabetic Patients’ Attitudes Toward Influenza and Covid-19 Vaccination
Bibliographic record
Abstract
Abstract Influenza vaccination (fluv) is free and easily accessible to diabetics in Quebec. The importance of vaccination (v) during the Covid19 (CV19) pandemic has been widely discussed in the media. To ascertain the receptiveness of type 2 diabetics (T2D) to fluv during the CV19 pandemic and their acceptance of an eventual CV19 vaccine (CVv) we carried out telephone interviews with 34 unselected T2D pts in Montreal, Quebec post the 1st wave of CV19 in that region. Pts were asked if they planned taking the fluv and/or an eventual CVv, reasons for reticence to v, and attitudes toward and compliance with public health (PH) directives. They were also asked their primary source of health related information. Recent HbA1c and insulin use were recorded. Thirty four T2Ds were surveyed, 22 M 50–87 yrs (mean 69.2) and 12 F 49–84 yrs (mean 68.8). Eleven M and 5 F were on insulin. HbA1c ranged from 5.9–13.0 (mean 7.3). None of the pts had recently discussed v with a healthcare provider (HCP). One pt received his health related information from Facebook, the others from mainstream media. None had contraindications to v. None had been diagnosed with CV19. Past influenza history was unknown. Forty one percent (14/34) of pts, 11 M 50–86 yrs (mean 66.0) and 3 F 49–66 yrs (mean 59.0) did not plan to take the fluv. They explained their decisions as never having taken fluv (12 pts) or having been ill despite having taken it (2 pts). Neither accessibility nor cost were issues. Two F, 62 and 66 yrs, who refused fluv also refused CVv. Six M aged 60–86 yrs (mean 70.5) and 1 F aged 73 yrs were planning to wait to access real life safety (6pts) or efficacy (1pt) data before accepting CVv. All pts claimed to be following PH guidelines including social distancing, hand washing, and mask recommendations; 91.2% (31/34) fully agreed with PH policies, 2 were in moderate agreement and 1 thought PH policy was not strict enough. Of the latter 3 pts none planned on taking the fluv. One planned taking the CVv, 1 planned not to, and the 3rd planned to wait before deciding. Despite a long history of use, recommendations by experts, and free and easy accessibility, T2D pts questioned after the 1st wave of CV19 are not convinced of the fluv’s importance. Despite high case numbers and being themselves at high risk, not all T2Ds are willing to unequivocally accept a potential Health Canada sanctioned CVv. This study underlines the important work HCPs have ahead in educating and reassuring pts with regard to vaccination.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".