ArticlePatient preference and adherence2026
Latent Profile Analysis of Autologous Arteriovenous Fistula Self-Management in Patients Undergoing Maintenance Hemodialysis.
Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: At present, no studies have systematically classified patients into distinct subgroups through comprehensive analysis of autologous arteriovenous fistula (AVF) self-management behaviors. This study aims to determine the characteristics of potential profiles in AVF self-management and identify influencing factors for each profile, and provide evidence for individualized nursing interventions. Methods: Patients receiving maintenance hemodialysis (MHD) with AVF were recruited from a tertiary hospital between April 2024 and December 2025. 335 patients completed the questionnaire that included socio-demographic questionnaire, Barthel Index, Autologous Arteriovenous Fistula Self-Management Scale, Health Literacy Scale for Patients with Chronic Diseases, Chronic Disease Resource Scale, Chinese Acceptance and Action Questionnaire, guided by the "Capacity, Opportunity, Motivation-Behavior" model. Latent profile analysis (LPA) was carried out, after which univariate and multivariate logistic regression analyses were conducted. Results: Participants were divided into three groups: Proactive-Prevention Group (66.6%), Action-Insufficient Group (12.5%), and Knowledge-Limited Group (20.9%). Multivariate logistic regression identified the following as significant factors influencing self-management across profiles: Barthel index; Duration of arteriovenous fistula use; Highest level of education; Number of comorbid conditions; Experiential avoidance; The use of chronic illness resources; Health literacy for chronic diseases. Conclusion: Our study found that AVF self-management among MHD patients exhibits significant heterogeneity, providing valuable information for tailoring interventions to individual needs, particularly for the Action-Insufficient Group. Clinicians should also comprehensively acknowledge the factors including educational background, length of AVF usage, and coexisting comorbidities on patients' AVF self-management. Brief validated tools for routine screening can aid in the early detection of at-risk patients and facilitate preference-adapted, personalized care, thereby enhancing the AVF self-management outcomes. Future longitudinal and intervention studies should prioritize this framework to develop scientifically robust, profile-tailored adherence support programs that align with patient preferences and optimize therapeutic outcomes.
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