109229
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.4 Breast Cancer (Dove Med Press)
- 3.2 Clin Epidemiol
- 2.6 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.7 Clin Interv Aging
- 5.1 Drug Des Dev Ther
- 3.1 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.6 Int J Women's Health
- 2.9 Neuropsych Dis Treat
- 2.8 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.2 Ther Clin Risk Manag
- 2.5 J Pain Res
- 3.0 Diabet Metab Synd Ob
- 3.2 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.0 Risk Manag Healthc Policy
- 4.1 J Inflamm Res
- 2.0 Int J Gen Med
- 3.4 J Hepatocell Carcinoma
- 3.0 J Asthma Allergy
- 2.2 Clin Cosmet Investig Dermatol
- 2.4 J Multidiscip Healthc
已发表论文
中国成都地区耐多药结核病患者药物相关负担的潜在剖面分析及其影响因素
Authors Li Y, Yu Q, Yao R, Yang X, Wan B, Zhao X, Hu Y, Zhou Y, Dai L, Liu X, Xie E, Huang F, Xie F , Guo Z
Received 3 August 2025
Accepted for publication 28 October 2025
Published 4 November 2025 Volume 2025:19 Pages 3387—3397
DOI https://doi.org/10.2147/PPA.S558068
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Emma Veale
Yuanyuan Li,1,* Qiaolin Yu,1,* Rong Yao,2 Xiaoyi Yang,2 Bin Wan,3 Xia Zhao,3 Yinping Hu,1 Yan Zhou,2 Li Dai,4 Xiaoli Liu,5 Enchun Xie,6 Fang Huang,7 Fanghui Xie,2 Zhouli Guo5
1The First Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 2The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 3The Department of Nursing, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 4The Third Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 5The Fourth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 6The Fifth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 7The Sixth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xiaoyi Yang, The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China, Tel +86 18200426273, Email 1365390609@qq.com Rong Yao, The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China, Tel +86 13668268061, Email 947591424@qq.com
Objective: The treatment of multidrug-resistant tuberculosis (MDR-TB) is characterized by a prolonged duration and complex medication regimens, often resulting in a substantial medication-related burden that negatively impacts patients’ adherence and quality of life. However, research on the heterogeneity of medication-related burden among MDR-TB patients and its influencing factors remains limited. This study aimed to identify latent profiles of medication-related burden among MDR-TB patients and examine differences in burden characteristics across these profiles, thereby providing evidence for tailored intervention strategies.
Methods: A convenience sampling method was employed to recruit MDR-TB patients diagnosed at a tertiary infectious disease hospital in Chengdu between December 2024 and May 2025. Data were collected using a general information questionnaire, the Living with Medicines Questionnaire (LMQ), and the Health Literacy Management Scale (HeLMS). Latent profile analysis (LPA) was conducted to identify distinct profiles of medication-related burden, and multivariate logistic regression was used to explore associated factors for each profile.
Results: A total of 214 valid responses were analyzed. The LPA identified two distinct profiles of medication-related burden: C1 – “Low-Burden (Attitude & Practice-Dominated)” (44%) and C2 – “High-Burden (Daily Interference-Dominated)” (56%). Absence of side effects, not employing a caregiver, and higher levels of health literacy were positively associated with membership in the C1 group (P < 0.05). In contrast, higher educational attainment, longer distance from the treatment center, and prolonged medication duration were negatively associated, increasing the likelihood of being classified in the C2 group (P < 0.05).
Conclusion: Medication-related burden among MDR-TB patients exhibits clear heterogeneity. Healthcare professionals should adopt stratified management and personalized interventions based on the identified influencing factors to alleviate the burden of medication in this population.
Keywords: multidrug-resistant tuberculosis, medication-related burden, latent profile analysis
1The First Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 2The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 3The Department of Nursing, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 4The Third Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 5The Fourth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 6The Fifth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China; 7The Sixth Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xiaoyi Yang, The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China, Tel +86 18200426273, Email 1365390609@qq.com Rong Yao, The Second Department of Tuberculosis, the Public Health Clinical Center of ChengDu, Chengdu, Sichuan, People’s Republic of China, Tel +86 13668268061, Email 947591424@qq.com
Objective: The treatment of multidrug-resistant tuberculosis (MDR-TB) is characterized by a prolonged duration and complex medication regimens, often resulting in a substantial medication-related burden that negatively impacts patients’ adherence and quality of life. However, research on the heterogeneity of medication-related burden among MDR-TB patients and its influencing factors remains limited. This study aimed to identify latent profiles of medication-related burden among MDR-TB patients and examine differences in burden characteristics across these profiles, thereby providing evidence for tailored intervention strategies.
Methods: A convenience sampling method was employed to recruit MDR-TB patients diagnosed at a tertiary infectious disease hospital in Chengdu between December 2024 and May 2025. Data were collected using a general information questionnaire, the Living with Medicines Questionnaire (LMQ), and the Health Literacy Management Scale (HeLMS). Latent profile analysis (LPA) was conducted to identify distinct profiles of medication-related burden, and multivariate logistic regression was used to explore associated factors for each profile.
Results: A total of 214 valid responses were analyzed. The LPA identified two distinct profiles of medication-related burden: C1 – “Low-Burden (Attitude & Practice-Dominated)” (44%) and C2 – “High-Burden (Daily Interference-Dominated)” (56%). Absence of side effects, not employing a caregiver, and higher levels of health literacy were positively associated with membership in the C1 group (P < 0.05). In contrast, higher educational attainment, longer distance from the treatment center, and prolonged medication duration were negatively associated, increasing the likelihood of being classified in the C2 group (P < 0.05).
Conclusion: Medication-related burden among MDR-TB patients exhibits clear heterogeneity. Healthcare professionals should adopt stratified management and personalized interventions based on the identified influencing factors to alleviate the burden of medication in this population.
Keywords: multidrug-resistant tuberculosis, medication-related burden, latent profile analysis