Importance of Dedicated Outreach Program to Facilitate COVID-19 Vaccination in Kidney Transplant Patients
Bibliographic record
Abstract
Background: Transplant patients are at high risk of COVID-19 infection and its complications. Timely vaccination in this population is important. To achieve this, we launched an Outreach Program (OP) and a Vaccine Clinic (VC) for transplant patients in early April 2021, as part of Canadian phase II roll out policy. Methods: We started an Outreach Program at our clinic in April 2021 that consisted of a clinical clerk, a nurse and a transplant nephrologist in conjunction with a VC, located separately from the Transplant Clinic, at either hospital site designated for transplant patients. Patients were assessed for vaccination eligibility by the transplant team, consented by phone by the nurse, and then booked in the VC and notified by the clerk prior to their vaccination appointment. Vaccination statuses were assessed on regular intervals up until April 15th, 2022. Time between doses in patients who received their vaccinations at the OP versus those who got vaccinations elsewhere (External Vaccination-EV) were compared using the Mann-Whitney Test. Results: 213 adults kidney transplant patients [Age 57±14 year, female (35.7%), Caucasian (89.7%)] are followed in our clinic. By April 15th, 2022, 207 (97.2%) patients received their 1st vaccination, 204 (95.8%) received 2nd dose, 179 (84%) received 3rd dose and 152 (71.4%) received 4th dose. Vaccination was facilitated through the OP for 145 (70%), 165 (80.9%), 171 (95.5%), and 152 (100%) of patients for 1st, 2nd, 3rd and 4th doses, respectively. The time interval between doses was shorter when vaccination was facilitated by the OP compared with EV [1st and 2nd doses: 23 (21-24) vs. 35 (26-67) days, P <0.001; 2nd and 3rd doses: 106 (98-126) vs. 134 (102-173) days, P =0.046]. The 4th dose was exclusively provided to our eligible patients through the OP with a median interval of 153 (140-158) days from the 3rd dose. Conclusions: An Outreach Program for kidney transplant patients shortened the time between COVID-19 immunizations compared with external vaccination.
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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".