Liao Yang, Mohd Hairon Suhaily, Yaacob Najib Majdi, Luo Li, Tengku Ismail Tengku Alina
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS.
Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS.
Cureus. 2024 Oct 16;16(10):e71583. doi: 10.7759/cureus.71583. eCollection 2024 Oct.
Breast cancer screening (BCS) is a critical preventive measure that can significantly reduce mortality rates. Despite its importance, screening hesitancy remains a global issue. This paper showcases the combination of the Health Belief Model (HBM) and the 5C Model and how it provides a more holistic understanding of BCS hesitancy. The first model, HBM, is a well-regarded tool that collects data based on individual beliefs such as perceived susceptibility, severity, benefits, barriers, cues to action, and self-efficacy. The second model, the 5C Model, stands for confidence, convenience, complacency, constraints, and risk and responsibility calculations. This model adds a layer of environmental considerations that HBM lacks. By combining these models, we can identify the key psychological, social, and structural barriers that contribute to BCS hesitancy. Furthermore, analysis of the literature suggests that enhancing trust in healthcare systems, increasing accessibility and affordability of screening, addressing cultural and social stigmas, and promoting a sense of collective responsibility can significantly improve screening participation rates, which are reflected in the models.
乳腺癌筛查(BCS)是一项关键的预防措施,可显著降低死亡率。尽管其很重要,但筛查犹豫仍是一个全球性问题。本文展示了健康信念模型(HBM)和5C模型的结合,以及它如何对BCS犹豫提供更全面的理解。第一个模型,即HBM,是一个备受推崇的工具,它基于个体信念收集数据,如感知易感性、严重性、益处、障碍、行动线索和自我效能感。第二个模型,即5C模型,代表信心、便利性、自满、限制以及风险和责任计算。该模型增加了HBM所缺乏的一层环境考量。通过结合这些模型,我们可以确定导致BCS犹豫的关键心理、社会和结构障碍。此外,文献分析表明,增强对医疗保健系统的信任、提高筛查的可及性和可负担性、消除文化和社会耻辱感以及促进集体责任感,可显著提高筛查参与率,这些在模型中都有体现。