Beliefs about medicines and non-adherence in patients with stroke, diabetes mellitus and rheumatoid arthritis: A cross-sectional study in China

Li Wei, Sarah Chapman, Xiaomei Li, Xin Li, Sumei Li, Ruoling Chan, Nie Bo, Angel Chater, Robert Horne

Research output: Contribution to journalArticlepeer-review

115 Citations (Scopus)

Abstract

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
Original languageEnglish
JournalBMJ Open
DOIs
Publication statusPublished - 6 Oct 2017

Fingerprint

Dive into the research topics of 'Beliefs about medicines and non-adherence in patients with stroke, diabetes mellitus and rheumatoid arthritis: A cross-sectional study in China'. Together they form a unique fingerprint.

Cite this