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Open Access Research article

Factors associated with low cure rate of tuberculosis in remote poor areas of Shaanxi Province, China: a case control study

Xianqin Ai1, Ke Men2*, Liujia Guo1, Tianhua Zhang1, Yan Zhao1, Xiaolu Sun1, Hongwei Zhang1, Guangxue He3, Marieke J van der Werf45 and Susan van den Hof45

Author affiliations

1 Shaanxi Provincial Institute for TB Control and Prevention, Xi'an, Shaanxi province, PR China

2 The Department of Epidemiology, The Fourth Military Medical University, Xi'an, Shaanxi province, China

3 Tuberculosis Prevention and Control Center, China CDC, Beijing, China

4 KNCV Tuberculosis Foundation, The Hague, The Netherlands

5 Center for Infection and Immunity Amsterdam (CINIMA), University of Amsterdam, Amsterdam, The Netherlands

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Citation and License

BMC Public Health 2010, 10:112  doi:10.1186/1471-2458-10-112

Published: 7 March 2010

Abstract

Background

The directly observed therapy-short course (DOTS) strategy was introduced in Shaanxi province, China to improve tuberculosis (TB) control by means of improved case detection (target: > = 70%) and treatment success rates (target: > = 85%) in new smear positive (SS+) TB patients. At a provincial level the targets were both reached in 2005. However in 30 (28%) out of 107 counties of Shaanxi province the cure rate was below 85%. This study aimed to investigate patient and treatment characteristics associated with non-cure after tuberculosis (TB) treatment in these counties.

Methods

In this case-control study, new smear positive TB cases in 30 counties with a cure rate <85% were included. Cured patients were compared to non-cured patients using logistic regression analysis to assess determinants for non-cure.

Results

Of the 659 patients included, 153 (23.2%) did not have cure as treatment outcome. Interruption of treatment was most strongly associated with non-cure (OR = 8.7, 95% CI 3.9-18.4). Other independent risk factors were co-morbidity, low education level, lack of appetite as an initial symptom of TB disease, diagnosis of TB outside of the government TB control institutes, missing sputum re-examinations during treatment, and not having a treatment observer. Twenty-six percent of patients did not have a treatment observer. The non-cure rate was better for those with a doctor (odds ratio (OR) 0.38, 95% confidence interval (CI) 0.17-0.88) as treatment observer than for those with a family member (OR 0.62, 95%CI 0.37-1.03). The main reason for interrupted treatment mentioned by patients was presence of adverse effects during treatment (46.5%).

Conclusions

Interruption of treatment was most strongly associated with non-cure. Although treatment observation by medical staff is preferred, in order to diminish the proportion of patients who do not have a treatment observer and thereby reduce the proportion of patients who interrupt treatment, we suggest making it possible for family members, after sufficient training, to be treatment observers in remote areas where it is logistically difficult to have village doctors observe treatment for all patients.