ArticleBMC pulmonary medicine2025
Latent profile analysis for medication adherence in patients with chronic obstructive pulmonary disease.
Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Flexible Bronchoscopy in the Intensive Care Unit: Controversies, Clinical Applications, and the Expanding Role of Intensivists.Journal of clinical medicine · 2026Review
- Latent Class Analysis of Medication Adherence and Its Influencing Factors Among Rural Hypertensive Patients in Shanxi Province, China.Patient preference and adherence · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study examined the latent profile of medication adherence in patients with chronic obstructive pulmonary disease (COPD) and explored the influencing factors.
methodsFrom October 2023 to January 2024, a quantitative cross-sectional study was conducted with 567 Chinese patients with COPD from 6 tertiary hospitals in Yunnan Province, Sichuan Province, Hubei Province, Shanghai and Chongqing, China, using demographic information and the medication compliance scale for COPD patients. Latent profile analyses were performed using Mplus 8.3 software. Pearson’s chi-square test and logistic regression analysis were performed with SPSS 26.0 software.
resultsTwo profiles of medication adherence were identified on the basis of patients’ responses to the medication compliance scale for COPD:“healthcare provider-supervised (n = 315,55.56%)” and “self-compliant (n = 252,44.44%)”. The medication adherence score for “healthcare provider-supervised” patients (47.60 ± 8.17) was lower than the score for “self-compliant” patients (50.36 ± 8.71) with a significant difference between the two groups (P < 0.001). Multinational logistic regression analysis indicated that education level, monthly income and place of residence significantly predicted profile membership.
conclusionOur results show that medication adherence in patients with COPD can be classified into two unique profiles. Monthly income, education level and place of residence significantly predicted profile membership. Healthcare workers should conduct scientific and comprehensive evaluations of patients’ medication adherence and influencing factors, strengthen health education, and provide family support to improve medication compliance and ensure treatment effectiveness.
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