Author Affiliations: Nursing Department, Far Eastern Memorial Hospital, New Taipei City, and School of Nursing, National Yang-Ming University, Taipei (Dr Chou and Ms Lo); Department of Speech Language Pathology and Audiology, National Taipei University of Nursing and Health Sciences, Taipei (Dr Liu); Department of Oncology and Hematology, Far Eastern Memorial Hospital, New Taipei City (Dr Lin); and Institute of Clinical Nursing, School of Nursing, National Yang-Ming University, Taipei (Dr Chen), Taiwan, Republic of China.
Cancer Nurs. 2020 Sep/Oct;43(5):E291-E303. doi: 10.1097/NCC.0000000000000711.
Health literacy (HL) influences a patient's comprehension and judgment of health-related information. A rigorous assessment tool is needed to screen for low HL in order to improve it.
The aim of this study was to develop and validate the Cancer Health Literacy Scale (C-HLS).
The framework of the C-HLS is based on the Levels of Prevention model. The scale items were developed according to Nutbeam's 3 constructs of HL. We employed several procedures to develop the C-HLS, including focus group interviews, item generation, the expert Delphi process, and face validity. Various types of analysis, including reliability and split-half reliability testing, confirmatory factor analysis, and criterion-related validity testing, were performed; receiver operating characteristic curve analysis was also performed to confirm sensitivity and specificity.
There were 33 items included in the C-HLS for validation; 360 newly diagnosed cancer patients completed the survey. The administration time is only 10 to 15 minutes. Results showed that C-HLS had good reliability, split-half reliability, and validity. All confirmatory factor analysis model fit indices reached acceptable thresholds. The receiver operating characteristic curve analyses suggested that the C-HLS had an adequate combination of sensitivity and specificity to distinguish between high and low HL.
The C-HLS is a reliable, valid tool capable of discriminating levels of HL in the assessment of cancer patients and does not have an excessive administration time.
This scale can aid our understanding of HL in newly diagnosed cancer patients and can serve as a basis for providing individual care interventions.
健康素养(HL)影响患者对健康相关信息的理解和判断。需要使用严格的评估工具来筛查低 HL,以提高其健康素养。
本研究旨在开发和验证癌症健康素养量表(C-HLS)。
C-HLS 的框架基于预防层次模型。量表条目是根据 Nutbeam 的 HL 3 个结构来制定的。我们采用了多种程序来开发 C-HLS,包括焦点小组访谈、条目生成、专家德尔菲法和表面效度。进行了各种类型的分析,包括可靠性和半分可靠性测试、验证性因素分析和效标关联效度测试;还进行了受试者工作特征曲线分析以确认灵敏度和特异性。
有 33 个条目纳入 C-HLS 进行验证;360 名新诊断的癌症患者完成了调查。管理时间仅为 10 至 15 分钟。结果表明,C-HLS 具有良好的可靠性、半分可靠性和有效性。所有验证性因素分析模型拟合指标均达到可接受的阈值。受试者工作特征曲线分析表明,C-HLS 具有足够的灵敏度和特异性组合,能够区分 HL 水平。
C-HLS 是一种可靠、有效的工具,能够在评估癌症患者时区分 HL 水平,且管理时间不会过长。
该量表可以帮助我们了解新诊断癌症患者的 HL 情况,并为提供个体化护理干预提供依据。