The triad of knowledge, regular medical consultation, and recommendations for enhanced breast cancer screening intention in Morocco

Author:

Ouzennou Nadia,Aboufaras MohamedORCID,Nacer Nezha,Mejdouli Hicham,Chouikh Jaouad,Rkha Samia

Abstract

Abstract Purpose The low rate of breast cancer screening in Morocco is linked to delayed diagnosis and increased mortality rates. Furthermore, there is a lack of research on the association between screening intention and knowledge levels. Our objective was to assess the level of knowledge regarding breast cancer and screening, identify the determinants of this knowledge, and determine predictive factors for screening intention. Methods A cross-sectional analytical study was conducted on 1014 women in the city of Essaouira, Morocco, during the years 2018–2020. A stepwise logistic regression analysis was performed to identify the predictors using SPSS software. Results We found an above-average level of knowledge (67%). These knowledge levels were associated with several personal characteristics. Moreover, these knowledge levels proved to be powerful predictive factors for the intention to undergo screening, along with regular medical consultations and recommendations to undergo screening. Conclusion Women had a high level of knowledge about breast cancer and its characteristics. These knowledge levels were strongly associated with the intention to undergo screening. However, despite this, the low participation rate encourages the reinforcement of research to align knowledge, intention, and screening practices.

Publisher

Springer Science and Business Media LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3