Beliefs About Medicines and Non-adherence in Patients with Stroke, Diabetes Mellitus and Rheumatoid Arthritis: a Cross-sectional Study in China
Overview
Authors
Affiliations
Objectives: To investigate beliefs about medicines and their association with medicine adherence in patients with chronic diseases in China.
Design: A cross-sectional questionnaire-based study SETTING: Two large urban hospitals in Hefei and Tianjin, China PARTICIPANTS: Hospital inpatients (313 stroke patients) and outpatients (315 diabetic patients and 339 rheumatoid arthritis (RA) patients) were recruited between January 2014 and September 2014.
Outcome Measures: The Beliefs about Medicines Questionnaire (BMQ), assessing patients' beliefs about the specific medicine (Specific-Necessity and Specific-Concerns) prescribed for their conditions (stroke/diabetes/RA) and more general background beliefs about pharmaceuticals as a class of treatment (BMQ-General Benefit, Harm and Overuse); the Perceived Sensitivity to Medicines scale (PSM) assessed patients' beliefs about how sensitive they were to the effects of medicines and the Medication Adherence Report Scale. The association between non-adherence and beliefs about medicines was assessed using a logistic regression model.
Results: Patients with diabetes mellitus had a stronger perceived need for treatment (mean (SD) Specific-Necessity score, 3.75 (0.40)) than patients with stroke (3.69 (0.53)) and RA (3.66 (0.44)) (p=0.049). Moderate correlations were observed between Specific-Concerns and General-Overuse, General-Harm and PSM (Pearson correlation coefficients, 0.39, 0.49 and 0.49, respectively, p<0.01). Three hundred and eleven patients were non-adherent to their medicine (159 (51.0%) in the stroke group, 60 (26.7%) in the diabetes mellitus group and 62 (19.8%) in the RA group, p<0.01). Across the whole sample, after adjusting for demographic characteristics, non-adherence was associated with patients who had higher concerns about their medicines (OR, 1.35, 95% CI 1.07 to 1.71) and patients who believed that they were personally sensitive to the effects of medications (OR 1.44, 95% CI 1.16 to 1.85).
Conclusion: The BMQ is a useful tool to identify patients at risk of non-adherence. In the future, adherence intervention studies may use the BMQ to screen for patients who are at risk of non-adherence and to map interventional support.
Li H, Li Y, Wang J, Zhang Y, Ben S Patient Prefer Adherence. 2025; 19:485-501.
PMID: 40046565 PMC: 11881755. DOI: 10.2147/PPA.S503350.
Tong X, Zou H, Zhang L, Chen W BMC Public Health. 2025; 25(1):404.
PMID: 39891108 PMC: 11786533. DOI: 10.1186/s12889-025-21656-0.
The risk factors and prediction model for postoperative pneumonia after craniotomy.
Xiang B, Yi M, Li C, Yin H, Wang S, Liu Y Front Cell Infect Microbiol. 2025; 14():1375298.
PMID: 39776439 PMC: 11703815. DOI: 10.3389/fcimb.2024.1375298.
Insani W, Wei L, Abdulah R, Alfian S, Ramadhani N, Andhika R Int J Clin Pharm. 2024; .
PMID: 39607658 DOI: 10.1007/s11096-024-01832-9.
Ou Y, Yang Y, Yang W, Pan Y, Tian W, Wang Z Front Oncol. 2024; 14:1411817.
PMID: 39568563 PMC: 11576315. DOI: 10.3389/fonc.2024.1411817.