Association analyses of early medication clocking-in trajectory with smart tools and treatment outcome in pulmonary tuberculosis patients
10.19428/j.cnki.sjpm.2025.24801
- VernacularTitle:肺结核患者早期服药智能工具打卡轨迹与治疗转归的关联
- Author:
Chunhua XU
1
;
Zheyuan WU
2
;
Yong WU
3
;
Qing WANG
1
;
Zichun WANG
1
;
Nan QIN
2
;
Xinru LI
4
;
Yucong YAO
4
;
Kehua YI
1
;
Yi HU
5
Author Information
1. Fengxian District Center for Disease Control and Prevention, Shanghai 201499, China
2. Institute of Tuberculosis and AIDS Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
3. Haiwan Community Health Service Center in Fengxian District, Shanghai 201419, China
4. Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
5. School of Public Health, Fudan University, Shanghai 200032, China
- Publication Type:Journal Article
- Keywords:
tuberculosis;
smart tool;
medication adherence check-in;
group-based trajectory model
- From:
Shanghai Journal of Preventive Medicine
2025;37(3):210-214
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.
