Evidence map›Paper›PMID 35841450›Full record

ArticleHealth care management science2022

The influence of service quality and anticipated emotions on donor loyalty: an empirical analysis in blood centres in Spain.

Josefa D Martín-Santana, Lucía Melián-Alzola

Abstract read
In one paragraph

Article in Health care management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Outcome expectations and repeated blood donation behavior: a moderated mediation model in a prospective observational study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Observational
  2. Article
  3. 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

2 authors.

Josefa D Martín-SantanaUniversidad de Las Palmas de Gran Canaria, Campus de Tafira s/n, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain. josefa.martin@ulpgc.es.ORCID http://orcid.org/0000-0002-7078-0271
Lucía Melián-AlzolaUniversidad de Las Palmas de Gran Canaria, Campus de Tafira s/n, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain.ORCID http://orcid.org/0000-0003-1246-5203

Funding

Ministerio de Economía y Competitividad Project ECO2015-64875-R
6 · The paper itself

Abstract

Blood donation centres need to recruit and retain donors to ensure the effectiveness and efficiency of healthcare systems, as COVID-19 has recently evidenced. In such risky settings, blood donation services must increase donations. Service quality can increase donations but its evaluation only amounts to a cognitive evaluation, and not to an emotional appraisal. Consequently, both service quality and emotions should be considered when predicting donor behaviour. In fact, donating blood is an emotionally charged service, thus representing an ideal setting to investigate how emotions influence consumer behaviour. This research proposes a new method to predict blood donors' intentions by integrating a cognitive approach measuring perceived quality, and an emotional approach including anticipated emotions (both positive and negative) of 'donation' and 'non-donation'. Based on a sample of 30,621 active Spanish donors, it is concluded that service quality is an antecedent for anticipated emotions and that both service quality and anticipated emotions influence donor loyalty. Designing the donation process based on quality criteria would provoke encouraging emotions and diminish discouraging emotions, therefore improving donor loyalty.

Indexed as

COVID-19Blood DonorsEmotionsHumansSpainAnticipated emotionsBlood donationLoyaltyService qualitystructural equation models (SEM)

Identifiers

PMID35841450
PMCPMC9674737

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.