Analysis of treatment outcomes of MDR-TB patients in Shandong Province / 上海预防医学

ABSTRACT

Objectives:To analyze the outcome of treatment of patients with multidrug-resistant tuberculosis （MDR-TB） in Shandong Province from 2013 to 2017， and to discuss the impact of the global fund's multi-drug prevention and control program （hereinafter referred to as “ the Program”） on the outcome of treatment of MDR-TB patients， so as to provide a basis for the formulation of MDR-TB prevention and control strategy in Shandong Province. Methods:Information of MDR-TB patients in Shandong Province from 2013 to 2017 was collected from the TB Management Information System， and Excel was used for statistical analysis. Descriptive analysis was conducted on the number of MDR-TB patients found， treatment rate， and successful treatment rate in the province， 5 project cities， and other non-project cities. SPSS16.0 statistical software was used for data analysis. Chi-square test was performed for comparison between rates （P<0.05）. Result:The successful treatment rate in the province was the highest in 2014 （53.85%） and the lowest in 2017（22.93%）， with a statistically significant difference （χ2=40.96，P<0.001）. The treatment rate in the whole province increased year by year， from 66.97% to 85.06%， and the difference was statistically significant （χ2=30.53，P<0.001）. The successful treatment rate was above 46% every year between 2013 and 2016， and decreased to 22.93% in 2017， with a statistically significant difference （χ2=40.96，P<0.001）. The proportion of lost patients increased year by year since 2014， reaching 70.95% in 2017， with a statistically significant difference （χ2=2.32，P<0.001）. In 2017， the number of patients found in the five project cities was the lowest in five years. Conclusion:The result of the project has an impact on the discovery， treatment and management of MDR-TB patients in Shandong Province. There is an urgent need to pay more attention to and actively explore prevention and treatment strategies for MDR-TB at the provincial level.