Be the Match’. Predictors of Decisions Concerning Registration as a Potential Bone Marrow Donor—A Psycho-Socio-Demographic Study
Bibliographic Data
| ID | 15468261 |
|---|---|
| Authors | Jacek Bogucki (0000-0002-8683-545X, Medical University of Lublin, corresponding author), Wioletta Tuszyńska-Bogucka (0000-0001-7101-5267, University of Economics and Innovation) |
| Year | 2023 |
| Volume | 20 |
| Issue | 11 |
| Pages | 5993-5993 |
| Publication date | 2023-05-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20115993 |
| PMID | 37297597 |
| OpenAlex | W4380142966 |
| Language | EN |
| References cited | 48 |
(1) Background: The study was aimed at a better understanding of the factors determining making a decision to become a potential bone marrow donor, in a Polish research sample; (2) Methods: The data was collected using a self-report questionnaire among persons who voluntarily participated in the study concerning donation, conducted on a sample of the Polish population via Internet. The study included 533 respondents (345 females and 188 males), aged 18-49. Relationships between the decision about registration as potential bone marrow donor and psycho-socio-demographic factors were estimated using the machine learning methods (binary logistic regression and classification & regression tree); (3) Results. The applied methods coherently emphasized the crucial role of personal experiences in making the decision about willingness for potential donation, f.e. familiarity with the potential donor. They also indicated religious issues and negative health state assessment as main decision-making destimulators; (4) Conclusions. The results of the study may contribute to an increase in the effectiveness of recruitment actions by more precise personalization of popularizing-recruitment actions addressed to the potential donors. It was found that selected machine learning methods are interesting set of analyses, increasing the prognostic accuracy and quality of the proposed model
Decision tree · Donation · Environmental health · Family medicine · Logistic regression · Machine learning · Population · Sample (material · The Internet · Blood donation and transfusion practices · Computer Science · Death Anxiety and Social Exclusion · Demography · Medicine · Optimism, Hope, and Well-being · Psychology · Social Psychology · Internal Medicine
Statistics versus machine learning
Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection methods.
Using Social Media as a Research Recruitment Tool
The Influence of Information and Religion on Organ Donation, as Seen by School Teachers in Bosnia and Herzegovina
The Influence of Age, Gender and Religion on Willingness to be an Organ Donor
Internet Research Methods
Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality
Knowing the Blood Nondonor to Activate Behaviour
The determinants of the willingness to donate an organ among young adults
Interaction Effects of Religiosity Level on the Relationship between Religion and Willingness to Donate Organs
Parent-Child Value Similarity Across and Within Cultures
| Citation velocity | historical |
|---|---|
| Highly cited | No |