The influence of the COVID-19 pandemic on blood donation and supply in China.

INTRODUCTION: During the COVID-19 pandemic, there was a sharp decline in blood donation which posed a serious threat to the clinical blood supply worldwide. The aim of this study was to evaluate the influence of the COVID-19 pandemic on blood donation and supply in China on a nationwide level. METHODS: A comprehensive review of the published literature was performed using eight databases including PubMed, Web of Science, Cochrane Library, Ovid, Embase, CNKI, WANFANG, and VIP by searching relevant words combinations. RESULTS: Twenty-seven studies were determined to be eligible and included. Among them, 21 studies reported the situation of blood donation during the COVID-19 pandemic in China. The donation of both whole blood and platelet concentrates declined (with a decline of 5%-86% for whole blood and 3%-34% for platelet concentrates), with this especially evident in February 2020. The COVID-19 pandemic changed the pattern of blood donation and the composition of blood donors accordingly. Fifteen articles reported the supply of various blood components during the COVID-19 pandemic. The supply and usage of both packed red blood cell (PRBC) and fresh-frozen plasma (FFP) decreased (with a decrease of 4%-40% for PRBC and 9%-58% for FFP). The proportion of blood transfusions in different departments changed too. Compared to 2019, there was a decrease in surgical blood transfusions, and an increase in that used in treatments performed in emergency and internal medicine departments. CONCLUSION: The COVID-19 pandemic has led to an overall reduction of blood transfusion activities in most cities in China, in particular blood donations and blood demands.

The use of predictive modelling to determine the likelihood of donor return during the COVID-19 pandemic.

Artificial intelligence (AI) uses sophisticated algorithms to "learn" from large volumes of data. This could be used to optimise recruitment of blood donors through predictive modelling of future blood supply, based on previous donation and transfusion demand. We sought to assess utilisation of predictive modelling and AI blood establishments (BE) and conducted predictive modelling to illustrate its use. A BE survey of data modelling and AI was disseminated to the International Society of Blood transfusion members. Additional anonymzed data were obtained from Italy, Singapore and the United States (US) to build predictive models for each region, using January 2018 through August 2019 data to determine likelihood of donation within a prescribed number of months. Donations were from March 2020 to June 2021. Ninety ISBT members responded to the survey. Predictive modelling was used by 33 (36.7%) respondents and 12 (13.3%) reported AI use. Forty-four (48.9%) indicated their institutions do not utilise predictive modelling nor AI to predict transfusion demand or optimise donor recruitment. In the predictive modelling case study involving three sites, the most important variable for predicting donor return was number of previous donations for Italy and the US, and donation frequency for Singapore. Donation rates declined in each region during COVID-19. Throughout the observation period the predictive model was able to consistently identify those individuals who were most likely to return to donate blood. The majority of BE do not use predictive modelling and AI. The effectiveness of predictive model in determining likelihood of donor return was validated; implementation of this method could prove useful for BE operations.

Factors associated with blood donation among college and university students in Wuhan, China: structural equation model.

BACKGROUND: College and university students were an important population group of blood donors, especially in the current situation of tight blood supply. This study aimed to investigate the current status and determinants of blood donation among this population group in Wuhan using a structural equation model. METHODS: We conducted a cross-sectional study involving 12 colleges and universities in Wuhan, China, including 5168 students. Sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation were treated as latent variables, with blood donation as the observed variable. Confirmatory factor analysis was conducted using the Mplus 8.0 statistical software application, followed by the establishment of a structural equation model to assess the relationships that exist between these variables. RESULTS: The overall blood donation rate among college and university students was 24.71%. The established model indicated that sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation showed significant positive effects (0.135, 0.056, 0.321, and 0.389, respectively) on blood donation, among them, the direct effects were 0.076, -0.110, 0.143, and 0.389, respectively (P < 0.01). Additionally, sociodemographic characteristics, health status, and knowledge about blood donation had indirectly affected blood donation through the mediating effect of attitude towards blood donation. Their effects on attitude towards blood donation were 0.099, 0.243, and 0.468, respectively. (P < 0.01). The model could explain explained 22.22% of the variance in blood donation behavior among college and university students in Wuhan. CONCLUSION: Blood donation among college and university students in Wuhan was associated with sociodemographic characteristics, health status, knowledge about blood donation, and attitude towards blood donation, with attitude being the primary influencing factor. Tailored recruitment strategies for blood donation among students should prioritize initiatives aimed at enhancing knowledge about blood donation and fostering positive attitudes toward it.

Hepatitis E virus infections in German blood donors: results of 8 years of screening, 2015 to 2022.

BackgroundAwareness of transfusion-transmitted hepatitis E raised in recent years led to the mandatory testing of blood donations in some European countries for hepatitis E virus (HEV) RNA. However, little is known about the epidemiology of HEV infections.AimTo and describe and analyse the epidemiology of HEV infections in blood donors in Germany.MethodsData from routine testing of therapeutic blood products donated between January 2015 and December 2022 at the Uni.Blutspendedienst OWL were analysed at the Institute of Laboratory and Transfusion Medicine, Heart and Diabetes Centre North Rhine-Westphalia. A total of 731,630 allogenic blood donations from 119,610 individual blood donors were tested for HEV RNA in minipools of 96 samples. The HEV RNA-positive donations were analysed for the presence of anti-HEV IgM and IgG. The HEV strains were genotyped and various clinical liver-specific parameters were determined.ResultsA total of 497 HEV-positive blood donations were identified, resulting in a yearly incidence of 1:1,474, from which 78.4% of the donations were RNA-only positive. Increased alanine aminotransferase activity was determined in 26.6% of HEV RNA-positive donors and was associated with the detection of IgG antibodies (1.2% anti-HEV IgM-positive, 11.9% anti-HEV IgM- and IgG-positive and 8.5% anti-HEV IgG-positive). An average incidence of 0.084-0.083% HEV RNA-positive donations in June and July in all years was observed, and a higher proportion of HEV RNA-positive men compared with women. All isolated HEV sequences corresponded to genotype 3.ConclusionOur results underline the necessity of HEV RNA screening in blood donations.

Psychological ownership and identity motives in blood donation.

BACKGROUND AND OBJECTIVES: Interventions to retain existing donors are essential to increase the blood supply. Blood donor self-identity is proposed to motivate sustained donation behaviour. However, interventions to develop self-identity in the absence of donating blood are scarce. We propose that experiencing psychological ownership of a blood collection agency (BCA) may provide a potential avenue for fostering donor self-identity and subsequent sustained donation behaviour. MATERIALS AND METHODS: Two hundred and fifty-five donor participants were recruited through Prolific Academic (n = 175) and an Australian online blood donor community group (n = 80), with an additional 252 non-donors recruited through Prolific Academic. Participants completed an online survey assessing donation behaviour, perceived psychological ownership of a BCA, self-identity and intentions to donate blood, amongst other constructs. RESULTS: Consistent with our theoretical argument, psychological ownership was positively associated with self-identity, which, in turn, was positively associated with intentions to donate blood. Donation behaviour was positively associated with psychological ownership. Examination of psychological ownership by donation experience showed the expected relationship with committed donors having the strongest psychological ownership and non-donors having the weakest psychological ownership over a BCA. CONCLUSION: We provide initial support for the inclusion of psychological ownership within a model of sustained blood donation behaviour.