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Status and influencing factors of treatment delay of rifampicin resistant tuberculosis patients,Guizhou, 2016-2022
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Da-fu WANG1, Xue-li GUO1, Xiao-xue MA2, Yun WANG1, Jiao-jiao ZHOU1, Jian ZHOU2, Fu-dong LI1, Jin-lan LI2, 1
Modern Preventive Medicine | 2024, 51(18) : 3410 - 3415
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Modern Preventive Medicine | 2024, 51(18): 3410-3415
Status and influencing factors of treatment delay of rifampicin resistant tuberculosis patients,Guizhou, 2016-2022
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Da-fu WANG1, Xue-li GUO1, Xiao-xue MA2, Yun WANG1, Jiao-jiao ZHOU1, Jian ZHOU2, Fu-dong LI1, Jin-lan LI2, 1
Affiliations
  • School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
Published: 2024-09-25 doi: 10.20043/j.cnki.MPM.202404101
Outline
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Objective

This study assesses the status and determinants of treatment delays among patients with rifampicin-resistant tuberculosis (RR-TB) in Guizhou Province, 2016-2022, aiming to inform the development of RR-TB control strategies in the region.

Methods

Data on RR-TB patients from 2016 to 2022 were extracted from the "Tuberculosis Management Information System," a subsystem of the "China Disease Prevention and Control Information System." The trend in treatment delay rates over time was analyzed using Trend chi-square test, while logistic regression models were used to examine the factors influencing these delays.

Results

From 2016 to 2022, Guizhou Province reported 513 cases of treatment delays among patients with rifampicin-resistant tuberculosis (RR-TB), resulting in a treatment delay rate of 23.29%. The rate of treatment delays decreased from 2016 to 2019 (Trend chi-square test=9.099, P=0.003), reaching its lowest in 2018 at 10.53%. However, from 2020 to 2022, the rate of treatment delays exhibited an upward trend (Trend chi-square test=5.937, P=0.015), peaking in 2021 at 31.62%. Multivariable analysis indicated that compared to migrant populations, patients undergoing initial treatment, and those tested with molecular biological drug sensitivity tests, non-migrant patients (OR=1.496, 95%CI=1.198 to 1.867), new patients (OR=1.774, 95%CI =1.344 to 2.342), patients with relapse (OR=1.494, 95%CI=1.110 to 2.011), and those tested using traditional drug sensitivity methods (OR=2.985, 95%CI=2.323 to 3.834) were at higher risk for treatment delays.

Conclusion

From 2016 to 2022, the overall trend of treatment delays in rifampicin-resistant tuberculosis (RR-TB) patients in Guizhou Province showed a decline. However, there was an increasing trend during the COVID-19 pandemic. This suggests a need to enhance the prevention and control of drug-resistant tuberculosis in key areas such as Bijie City. There is also a need to intensify health education for patients with drug resistance, implement patient-centered care systems for those patients, expand the application of molecular biological drug sensitivity testing techniques, and strengthen the referral and admission mechanisms for RR-TB patients.

Rifampicin-resistant tuberculosis  /  Treatment delay  /  Influencing factors  /  Logistic regression  /  Guizhou Province
Da-fu WANG, Xue-li GUO, Xiao-xue MA, Yun WANG, Jiao-jiao ZHOU, Jian ZHOU, Fu-dong LI, Jin-lan LI. Status and influencing factors of treatment delay of rifampicin resistant tuberculosis patients,Guizhou, 2016-2022[J]. Modern Preventive Medicine, 2024 , 51 (18) : 3410 -3415 . DOI: 10.20043/j.cnki.MPM.202404101
Year 2024 volume 51 Issue 18
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doi: 10.20043/j.cnki.MPM.202404101
  • Receive Date:2024-04-07
  • Online Date:2026-03-20
  • Published:2024-09-25
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  • Received:2024-04-07
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    School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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