Evidence map›Paper›PMID 37465237›Full record

ArticleHealth science reports2023

Research on the socioeconomic factors that influence the development of voluntary, non-remunerated blood donation in China-A correlation and regression analysis based on data from 2012 to 2018.

Feng Lin, Yi Huang, Xu He, Zhong Liu

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. 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
3.3field-weighted citation impact, top 8% of its field
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, 8 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Feng LinInstitute of Blood Transfusion Chinese Academy of Medical Science and Peking Union Medical College Chengdu China.ORCID 0000-0002-9976-8030
Yi HuangInstitute of Blood Transfusion Chinese Academy of Medical Science and Peking Union Medical College Chengdu China.ORCID 0000-0001-7821-9692
Xu HeInstitute of Blood Transfusion Chinese Academy of Medical Science and Peking Union Medical College Chengdu China.ORCID 0000-0001-9305-7468
Zhong LiuInstitute of Blood Transfusion Chinese Academy of Medical Science and Peking Union Medical College Chengdu China.ORCID 0000-0001-8173-9656
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Previous research has shown that socioeconomic factors, such as income and education, are associated with blood donation behavior. This study aims to investigate the factors that influence blood donation behavior using a large database of blood donation records and to provide further empirical evidence and insights into the factors that influence blood donation behavior and to identify potential strategies to increase blood donation rates in China. Methods: This study employed correlation analysis and regression analysis to investigate the impact of socioeconomic factors on blood donation rates in 36 major cities in China. The study also used the K-Means clustering algorithm to identify the socioeconomic factors that influence blood donation behavior at the per capita level. Additionally, the study conducted correlation analysis between the donor's age groups and the socioeconomic factors. The indices of economy and education were determined by correlation analysis. Results: At the city level, overall economic output and university student populations were positively correlated with total blood donation times. However, at the per capita level, this linear relationship disappeared. By applying the K-Means clustering algorithm, the cities were divided into subgroups where the linear relationship reemerged. The study also found that the number of college students had a linear relationship with blood donors between the ages of 18-34. Conclusion: City characteristics and demographics significantly impact blood donation rates in different ways. A universal policy may have limited effect given the heterogeneity across cities. Tailored interventions targeting specific city clusters and education levels are needed to promote blood donation behavior, especially among youth and students. Investment in education and targeted education on blood donation appear particularly impactful. A combined approach integrating social and economic policies will likely be most effective.

Indexed as

blood donationcorrelation analysisK‐Meansregression analysissocioeconomic factors

Identifiers

PMID37465237
PMCPMC10350559
OpenAlexW4384562383

What OpenQuestion holds

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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.