Evidence map›Paper›PMID 30414176›Full record

ArticleTransfusion2019

Deferral rate variability in blood donor eligibility assessment.

Wim de Kort, Femmeke Prinsze, Glenn Nuboer, Jos Twisk, Eva-Maria Merz

Abstract read
In one paragraph

Article in Transfusion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wim de KortResearch Division, Donor Studies Department, Sanquin Blood Supply, Amsterdam, The Netherlands.
Femmeke PrinszeResearch Division, Donor Studies Department, Sanquin Blood Supply, Amsterdam, The Netherlands.
Glenn NuboerBlood Bank Division, Medical Services Department, Sanquin Blood Supply, Amsterdam, The Netherlands.
Jos TwiskEpidemiology and Biostatistics Department, Vrije Universiteit Medical Center (VUmc), Amsterdam, The Netherlands.
Eva-Maria MerzResearch Division, Donor Studies Department, Sanquin Blood Supply, Amsterdam, The Netherlands.ORCID 0000-0001-5567-7041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth donors and the blood bank rely on the result of the donor health interview. However, survey data suggest that substantial variability in deferral rates among interviewers exist. We studied whether variability remained after adjusting for conditional factors. STUDY DESIGN AND

methodsThe data set included Dutch interview data on whole blood donor visits in 2015, where one of their visits was selected randomly. We applied logistic regression and multilevel regression analyses with the donor visit, with the interviewer representing the levels. We set up four models: 1) all reasons deferral, 2) low-hemoglobin-level deferral, 3) infectious disease risk deferral and 4) other medical reasons deferral.

resultsIn total, 138,398 visits were included in the study, of which 60,534 (43.7%) related to male donors. The overall deferral rate for men was 7.91% and for women 12.25%. Deferral rates among interviewers ranged from as low as 1.19% up to 28.8%. Models 2 (low hemoglobin level) and particularly 4 (other medical reasons), for both men and women, showed significant intraclass correlation coefficients, implying considerable deferral rate variability among interviewers. Donor age, the number of previous visits, and the season had relatively large effects. However, explained variances of the logistic regression models were relatively low, ranging from 2.53% to 7.35%.

conclusionDeferral appears to be a random process, while substantial variability was found among interviewer deferral rates, suggesting that some interviewers are more cautious than others. Our results suggest heuristic and subjective diagnosing to be prevalent. Steps should be taken to improve interview result validity.

Indexed as

AdultBlood BanksBlood DonorsFemaleHumansLogistic ModelsMaleMiddle AgedMultilevel AnalysisRegression Analysis

Identifiers

PMID30414176
PMCPMC7379687

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.