ArticlePatient preference and adherence2018
Predictors of medication nonadherence in patients with systemic lupus erythematosus in Sichuan: a cross-sectional study.
Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Impact of rural residence on clinical outcomes in SLE: a systematic review.Lupus science & medicine · 2025Pooled it
- The Systemic Lupus Erythematosus Interventional Trials in Mainland China: A Continuous Challenge.Frontiers in immunology · 2022Pooled it
- Changes in attitudes toward systemic lupus erythematosus and associated factors: a retrospective cross-sectional study from China.Frontiers in immunology · 2026Observational
- Article
- Social Support and Adherence to Treatment Regimens among Patients Undergoing Hemodialysis.Healthcare (Basel, Switzerland) · 2024Article
- Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study.Scientific reports · 2023Article
- Impact of demographic, clinical, and treatment compliance characteristics on quality of life of Venezuelan patients with systemic lupus erythematosus.BMC rheumatology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to determine the prevalence and predictors of medication nonadherence among patients with systemic lupus erythematosus (SLE) in Sichuan. PATIENTS AND
methodsA cross-sectional investigation was performed. Participants were recruited by consecutive sampling from the Rheumatic Clinic of a university hospital between June and September 2016. Patients' self-reported medication adherence was assessed by the eight-item Morisky Medication Adherence Scale. Additional surveys included patients' demographics, and clinical and treatment characteristics. Logistic regression analysis was used to identify the predictors of medication nonadherence.
resultsA total of 140 patients were included in analysis. The percentage of patients classified as nonadherent to medication was 75%. Low education, rural residency, childlessness, limited comprehension of medication instructions, side effects experienced, dissatisfaction with treatment and better physical health were associated with an increased risk of nonadherence.
conclusionThis study demonstrated a high prevalence of medication nonadherence among SLE patients in Sichuan, and factors associated with the nonadherence are multifaceted. Interventions for these factors, such as appropriate adjustment of the service resources for patients with rheumatic disease in rural communities and improved communication between the health care providers and the patients, may contribute to improve the medication adherence of this cohort.
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