Construction of a rapid depression screening model for blood donors in Guangzhou based on decision tree
Journal Title: Chinese Journal of Blood Transfusion - Year 2023, Vol 36, Issue 8
Abstract
Objective To investigate the prevalence of depression in blood donors and analyze the related factors, so as to develop a rapid depression screening model for blood donors. Methods A total of 13 015 street whole blood donors in Guangzhou Blood Center during May to August, 2020 filled in an anonymous e-questionnaire, including social demography information and the Patient Health Questionnaire-9 before donation. The cut-off value for detecting depression was 10. Logistic regression by SPSS 26.0 was used to analyze depression related factors. 2-level decision tree with 30/10 as the minimum number of cases in parent/child node, 10-fold cross validation was used to cut items of PHQ-9 to form the depression screening model. Results 364 out of 13 015 (2.80%) street whole blood donors reported a score ≥ 10. Donors with 18-29 years old (P <0.05), unmarried (P<0.05), less than 50 000 RMB household income per year (P< 0.05) were more prone to depression. 81.96% donors in "<10 scores" group, while 3.85%donors in "≥ 10 scores" group were in two terminal nodes formed by Item-6, 2 and 4 of PHQ-9. After verification by the 10 fold crossover method, the estimated misclassification risk of the model was 1.7%. Conclusion The screening prevalence of depression based on PHQ-9 in Guangzhou blood donors was 2.8%(95% CI: 2.52%-3.09%) . Donation frequency was not related to depression. A rapid and efficient depression screening model for blood donors based on item-6, 2 and 4 of PHQ-9 was developed.
Authors and Affiliations
Guiyun XIE, Fanfan FENG, Xuecheng DENG, Xiaochun HONG, Jian OUYANG, Chong CHEN, Sihai ZENG, Xia RONG, Jinyan CHEN, Shijie LI
Keywords
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- EP ID EP738615
- DOI 10.13303/j.cjbt.issn.1004-549x.2023.08.012
- Views 30
- Downloads 0
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