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一个理解乳腺癌筛查犹豫的综合模型:整合健康信念模型与信心、便利性、自满、限制以及风险和责任计算(5C)模型。

A Comprehensive Model for Understanding Breast Cancer Screening Hesitancy: Integrating the Health Belief Model and the Confidence, Convenience, Complacency, Constraints, and Risk and Responsibility Calculations (5C) Model.

作者信息

Liao Yang, Mohd Hairon Suhaily, Yaacob Najib Majdi, Luo Li, Tengku Ismail Tengku Alina

机构信息

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.

出版信息

Cureus. 2024 Oct 16;16(10):e71583. doi: 10.7759/cureus.71583. eCollection 2024 Oct.

DOI:10.7759/cureus.71583
PMID:39553070
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11565091/
Abstract

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.

摘要

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。

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本文引用的文献

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Primary care practice-based interventions and their effect on participation in population-based cancer screening programs: a systematic narrative review.基于初级保健实践的干预及其对参与基于人群的癌症筛查计划的影响:系统叙述性综述。
Prim Health Care Res Dev. 2024 Feb 12;25:e12. doi: 10.1017/S1463423623000713.
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Breast Cancer Screening Coverage - China, 2018-2019.2018 - 2019年中国乳腺癌筛查覆盖率
China CDC Wkly. 2023 Apr 14;5(15):321-326. doi: 10.46234/ccdcw2023.062.
3
CanScreen5, a global repository for breast, cervical and colorectal cancer screening programs.CanScreen5,一个全球性的乳腺癌、宫颈癌和结直肠癌筛查项目数据库。
Nat Med. 2023 May;29(5):1135-1145. doi: 10.1038/s41591-023-02315-6. Epub 2023 Apr 27.
4
Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample.利用 5C 模型理解全国和南卡罗来纳州样本中的 COVID-19 疫苗犹豫情况。
J Psychiatr Res. 2023 Apr;160:180-186. doi: 10.1016/j.jpsychires.2023.02.018. Epub 2023 Feb 16.
5
Factors Associated with Breast Cancer Mammographic Screening Behavior among Iranian Women.伊朗女性乳腺癌 X 光筛查行为相关因素分析。
Asian Pac J Cancer Prev. 2022 Dec 1;23(12):4073-4078. doi: 10.31557/APJCP.2022.23.12.4073.
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Models of determinants of COVID-19 vaccine hesitancy in non-pregnant and pregnant population: Review of current literature".《非妊娠和妊娠人群中 COVID-19 疫苗犹豫决定因素的模型:当前文献综述》。
Hum Vaccin Immunother. 2022 Nov 30;18(6):2138047. doi: 10.1080/21645515.2022.2138047. Epub 2022 Nov 7.
7
Knowledge and Factors Associated with Breast Cancer Self-Screening Intention among Saudi Female College Students: Utilization of the Health Belief Model.沙特女大学生乳腺癌自我筛查意向的知识和相关因素:健康信念模型的应用。
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Disparate access to breast cancer screening and treatment.乳腺癌筛查和治疗机会不均等。
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