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CN 34-1304/RISSN 1674-3679

Volume 23 Issue 12
Dec.  2019
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Article Contents
CAO Wen-jie, YUAN Zhi, YAO Yong-ming, XIONG Bing, WEI Wei, LIN Feng, LU Jun-duan. Analysis of late diagnosis and its influencing factors of newly reported HIV/AIDS in Guizhou Province from 2014 to 2018[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(12): 1436-1441. doi: 10.16462/j.cnki.zhjbkz.2019.12.002
Citation: CAO Wen-jie, YUAN Zhi, YAO Yong-ming, XIONG Bing, WEI Wei, LIN Feng, LU Jun-duan. Analysis of late diagnosis and its influencing factors of newly reported HIV/AIDS in Guizhou Province from 2014 to 2018[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(12): 1436-1441. doi: 10.16462/j.cnki.zhjbkz.2019.12.002

Analysis of late diagnosis and its influencing factors of newly reported HIV/AIDS in Guizhou Province from 2014 to 2018

doi: 10.16462/j.cnki.zhjbkz.2019.12.002
Funds:

Science and Technology Fund Project of Guizhou Health and Family Planning Commission gzwjkj2017-1-087

Technology Fund Project of Guizhou CDC aaa

More Information
  • Corresponding author: YAO Yong-ming, E-mail: 476751715@qq.com
  • Received Date: 2019-06-20
  • Rev Recd Date: 2019-09-30
  • Publish Date: 2019-12-10
  •   Objective  To find late diagnosis and its influencing factors of newly reported HIV/AIDS in Guizhou Province from 2014 to 2018.  Methods  Through the Chinese National Comprehensive HIV/AIDS Prevention and Care Information System, all newly reported HIV/AIDS cases from 2014 to 2018 in Guizhou Province were analyzed and related factors of late diagnosis were analyzed using binary Logistic regression model.  Results  From 2014 to 2018, there were 33 611 newly reported HIV/AIDS cases in Guizhou Province, and the late diagnosis rates of newly reported cases were 35.46%, 34.49%, 38.35%, 39.74% and 38.80% respectively. The analysis showed that the proportion of late diagnosis cases from medical institutions increased year by year (χ2=64.603, P < 0.001). By analyzing the late diagnosis rate of cases from different sample sources, medical institutions was significantly higher than that reported by voluntary counseling and testing, positive spouses or sexual partners(χ2=276.033, P < 0.001). Multivariate analysis showed that gender, marital status, route of transmission, occupation, ethnicity and source of samples were associated with the late diagnosis of newly reported cases (all P < 0.05).  Conclusions  It shows a slow upward trend of late diagnosis rate among HIV/AIDS reported in Guizhou Province from 2014 to 2018.On the one hand, it is of great significance to continue to strengthen the publicity and education of the whole population in Guizhou, in order to improve the awareness of HIV active detection. On the other hand, we should continue to expand HIV testing in Guizhou Province to improve the early detection level of HIV/AIDS.
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