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Journal of Tuberculosis and Lung Disease ›› 2020, Vol. 1 ›› Issue (3): 270-275.doi: 10.3969/j.issn.2096-8493.2020.03.013

• Original Articles • Previous Articles     Next Articles

Analysis of situation and influencing factors of patient delay in tuberculosis in tuberculosis patients from Heilongjiang in 2004

SUN Ming-lei*, WU Qun-hong , GUAN Li , ZHAO Juan , WANG Chen , ZOU Dan-dan , LIANG Li-bo ()   

  1. *Health Management College of Harbin Medical University, Harbin 150081, China
  • Received:2020-07-14 Online:2020-12-30 Published:2021-01-05
  • Contact: LIANG Li-bo E-mail:llbhit@163.com

Abstract:

Objective To explore tuberculosis patient delay and influencing factors. Methods From January to December, 2004, a stratified cluster sampling method was used to determine 30 survey sites in 113 tuberculosis control units in Heilongjiang Province. In each survey site, the survey of 56 newly treated smear-positive pulmonary tuberculosis patients and retreated smear-positive pulmonary tuberculosis patients during this period should be finished, and finally 1989 cases were included. The basic and clinical information, as well as medical record of the cases were collected to analyze patient delay and influencing factors. Results Among the 1989 cases, the delay time (median (quartile)) was 35 (15, 88) d; 836 cases (42.0%) had a delay of ≤30 d, and 1153 (58.0%) cases had a delay of more than 30 d. In the group with a delay of ≤30 d, proportions of the employed and cases who chose tuberculosis prevention and treatment unit for the first visit were significantly higher than that in the group with a delay of more than 30 d (52.0% (435/836) vs. 50.2% (579/1153, χ2=10.325, P=0.006) (31.6% (100/316) vs. 20.6% (58/281), χ2=9.551, P=0.023). However, proportion of patients whose first symptom was fatigue in the group with a delay of ≤30 d was significantly lower than that in the group with a delay of more than 30 days (44.2% (369/834) vs. 50.1% (577/1151), χ2=6.716, P=0.010). Multivariate logistic regression analysis showed that compared with non-employed persons, the patient delay of the employed was shorter (OR (95%CI)=0.600 (0.007-0.505)); those who with fatigue as the first symptom had more delay than those who without fatigue (OR (95%CI)=1.778 (1.263-2.503)); compared to those who chose a general hospital for the first visit, cases who chose a tuberculosis prevention and treatment center for the first visit was had shorter visit delay (OR (95%CI)=0.611 (0.396-0.942)). Conclusion The patient delay of tuberculosis patients in Heilongjiang was obvious. It was more likely to happen ine non-employed, patients whose first symptom was fatigue, and patients who chose general hospitals for the first visit.

Key words: Tuberculosis, Delayed diagnosis, Causality, Cross-sectional studies