Performance of tuberculosis prevention and treatment in Gansu during the 13th Five-Year Plan period
Objective To evaluate the performance of tuberculosis(TB)preventionand treatment in Gansu during the 13th Five-Year Plan period and provide evidence for the future policy development.Methods According to"The final evaluation protocol of national tuberculosis prevention and treatment program during the 13th Five-Year Plan period,Relevant data in Gansu during 2015-2020 were collected from the final evaluation materials and TB management information system for a descriptive analysis and economic evaluation.Results From 2015 to 2020,the reported incidence of TB decreased from 54.91/100000 to 30.66/100000 in Gansu,a decline of 44.16％.The successful referral rate of TB cases remained to be above 95.00％,the etiological positive rate of the TB cases increased from 18.63％to 60.83％,the average successful treatment rate in rifampicin sensitive TB cases or those with unknown drug susceptibility was 94.10％,the screening rate of drug-resistance of pathogen-positive TB cases increased from 6.11％to 94.27％,the rate of treatment acceptance in rifampicin resistant TB cases increased from 0.00％to 93.24％,the average successful treatment rate in rifampicin resistant cases was 36.82％.The examination rates of Tuberculin skin test and X-ray were 28.57％and 9.52％respectively in freshmen recruited in 2020 in 42 schools surveyed.Due to the implementation of the TB prevention and treatment plan,104 100(62 500-156200)TB cases were prevented in healthy population,98 900 disability adjusted life years were reduced,41.64(25.00-62.48)million yuan in medical expenditure were saved,and about 12.598 billion yuan in social and economic losses were avoided.Conclusion The goal of TB prevention and treatment in the 13th Five-Year Plan has been reached in Gansu.The treatment of drug-resistant TB and management populations at risk,such as students,would be the main challenges in TB prevention and control in the future.
The 13th Five-Year PlanPulmonaryTuberculosisPrevention and controlDrug-resistance
NETL
NSTL
万方数据
