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A rapid review of strategies to manage low iron levels in adults donating whole-blood: A focus on donor behaviour.

Amanda ThijsenCarley N GemelliMelissa K HydeRachel ThorpeBarbara M Masser
Published in: Transfusion medicine (Oxford, England) (2024)
In recognition of the impact of whole-blood donation on body iron stores, there has been an increased focus assessing the efficacy of strategies to minimise the risk of iron deficiency (ID). Whilst donor behaviour is an important determinant of success, this literature is yet to be fully synthesised to help guide blood collection agencies when implementing these strategies into routine practice. This rapid review identifies strategies for management of low iron, how they have been communicated to donors, donor compliance with advice, donor use of external health services and their effect on donor retention. Web of Science, Medline, CINAHL and Wiley online library databases were searched from 2012 to November 2023, with 29 studies meeting inclusion criteria. Five iron management strategies were identified: oral iron supplementation (IS), education, dietary advice, lengthening inter-donation interval and switching donation type. Most studies (n = 16) focused on IS, with only four reporting how they communicated this to donors. Donor use of IS was high in controlled research environments but has not been evaluated when implemented into routine practice. None of the four studies on dietary advice included findings on donor acceptability. The proportion of donors consulting their doctor about a low iron result or their risk of ID was found to be suboptimal. However, in general, the identified strategies and communications had a positive effect on donor retention. More evidence is needed on how to increase donor knowledge and awareness of donation-related risk of ID as well as to identify how to effectively communicate strategies to donors to ensure optimal acceptability and use.
Keyphrases
  • iron deficiency
  • healthcare
  • primary care
  • systematic review
  • quality improvement
  • machine learning
  • kidney transplantation
  • social media
  • case control
  • clinical practice
  • big data
  • deep learning
  • artificial intelligence