Suppr超能文献

宫颈癌相关体征和症状的表达。

Expressions of cervical cancer-related signs and symptoms.

机构信息

Tshwane University of Technology, Pretoria 0001, South Africa.

出版信息

Eur J Oncol Nurs. 2011 Feb;15(1):67-72. doi: 10.1016/j.ejon.2010.06.003. Epub 2010 Jul 31.

Abstract

BACKGROUND

Cervical cancer is the second most common cancer in women worldwide. Although developing countries are the hardest hit by cervical cancer, women living in Europe are also at risk for this disease.

PURPOSE OF THE STUDY

The purpose of the study was to explore how women treated for cervical cancer at an academic hospital in Tshwane, South Africa, expressed their cervical cancer-related signs and symptoms during the initial consultation with health care professionals.

METHODS AND SAMPLE

A qualitative, exploratory and contextual research design was used. The sampling method was purposive and convenience. Self-reported data were gathered using semi-structured interviews. Diekelmann's hermeneutical analysis approach was used to analyze the data. The sample size totaled 12 (n = 12).

RESULTS

Four themes emerged from the data-- ignorance, communication, delayed diagnosis and expectations. All participants lacked knowledge and awareness of the signs and symptoms of cervical cancer. The majority failed to communicate the real nature of their signs and symptoms and was only diagnosed after several visits to the primary health clinic.

CONCLUSION

Nurses should use every opportunity to screen women for cervical cancer as the woman might not be able to express her cervical cancer-related signs and symptoms.

摘要

背景

宫颈癌是全球女性中第二大常见的癌症。尽管发展中国家受宫颈癌的影响最为严重,但欧洲的女性也面临着这种疾病的风险。

研究目的

本研究旨在探讨在南非茨瓦内的一家学术医院接受宫颈癌治疗的女性在与医疗保健专业人员进行初始咨询时如何表达她们的宫颈癌相关症状。

方法和样本

采用定性、探索性和情境研究设计。采用目的性和便利性抽样方法。使用半结构式访谈收集自我报告数据。采用迪克尔曼的解释学分析方法对数据进行分析。样本量总计 12 人(n=12)。

结果

数据中出现了四个主题——无知、沟通、延迟诊断和期望。所有参与者都缺乏对宫颈癌症状和体征的了解和认识。大多数人未能沟通其症状的真实性质,并且仅在多次访问初级保健诊所后才被诊断出来。

结论

护士应该利用一切机会对女性进行宫颈癌筛查,因为女性可能无法表达其与宫颈癌相关的症状。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验