Engaging with young professionals in transfusion medicine: Insights from a needs assessment survey targeting an international cohort
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Professionals who work or study in transfusion medicine under 40 years of age are considered young professionals (YPs) by the International Society of Blood Transfusion (ISBT). While the ISBT provides opportunities for YPs, their needs have to be assessed to customize initiatives in a way that could potentially improve their engagement. This survey aimed to assess the needs of YPs in transfusion medicine and understand their perspectives on future ISBT initiatives. MATERIALS AND METHODS: Between January and February 2023, a 28-question online survey was accessible through a generalized link across the ISBT network. Skip-logic responses from 352 YPs, including 151 ISBT members and 201 non-members, were analysed. Each question varied in the number of responders and, consequently, the number of responses. RESULTS: Firstly, the most important needs of YPs from the survey were educational opportunities and training programmes, with 70% of respondents indicating for educational content in specific fields of transfusion. Secondly, Transfusion Today published by the ISBT (46.9%) ranked the highest in engagement, while ISBT Academy and Academy funding ranked the lowest (12.8%). ISBT members reported attending ISBT activities or using ISBT resources more often than non-members, although this was not statistically significant. The primary barrier preventing both non-members and ISBT members from engaging in ISBT activities was a lack of awareness. CONCLUSION: Raising awareness on a regular basis, a customized communication style (e.g., by a representative or different languages) and activities for non-members may be key to improving YP engagement and expanding the ISBT network.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".