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Research Article| Volume 58, P62-68, March 2023

Factors influencing self-management behavior during the “Blanking Period” in patients with atrial fibrillation: A cross-sectional study based on the information-motivation-behavioral skills model

Published:November 17, 2022DOI:https://doi.org/10.1016/j.hrtlng.2022.11.006

      Highlights

      • The poor self-management behavior of AF patients during the "Blanking Period" after RFCA requires high attention and improvement.
      • This study is the first to apply the IMB model to explain the factors influencing self-management behavior in AF patients during the "Blanking Period" and to explore the interrelationship between each element and self-management behavior using path analysis.
      • Healthcare professionals should implement targeted interventions to improve patients' AF knowledge, self-management confidence, social support, and health literacy in order to improve their self-management behavior.

      Abstract

      Background

      Atrial fibrillation (AF) is becoming increasingly common. Effective self-management during the “Blanking Period” is critical. The Information-Motivation-Behavioral skills (IMB) model can be used to study health behaviors in chronic disease patients, but it has not been studied in AF patients.

      Objective

      The goal of this study was to explore the influencing factors and interaction pathways of self-management behavior in AF patients during the "Blanking Period" using the IMB model.

      Methods

      From June to December 2021, a cross-sectional design was conducted. Patients with AF during the "Blanking Period" (N=220) were recruited. They filled out several quantitative questionnaires, including the Jessa Atrial Fibrillation Knowledge Questionnaire, the Confidence in Atrial Fibrillation Management Scale, the Perceived Social Support Scale, the All Aspects of Health Literacy Scale, and the Self-care Scale for Chronic Atrial Fibrillation Patients. Data were analyzed using correlation analysis, multiple regression analysis, and path analysis.

      Results

      Total score of self-management behavior was (33.83 ± 10.66). AF knowledge (β = 0.252, P < 0.001), self-management confidence (β = 0.219, P < 0.001), social support (β = 0.291, P < 0.001), and health literacy (β = 0.262, P < 0.001) were all positively correlated with patients' self-management behavior, accounting for 66.50 percent of the total variance.

      Conclusions

      During the "Blanking Period", the IMB model can be used to predict the factors that influence self-management behavior in AF patients. By using IMB model, interventions targeting patient-specific influencing factors could improve self-management behavior and quality of life in AF patients.

      Keywords

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