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癌症患者诊断后九个月内的信息需求。

Cancer patients' information needs the first nine months after diagnosis.

机构信息

Department of Social and Behavioral Health, Virginia Commonwealth University & Massey Cancer Center, Richmond, VA 23298-0149, USA.

出版信息

Patient Educ Couns. 2013 Jan;90(1):96-102. doi: 10.1016/j.pec.2012.09.009. Epub 2012 Oct 9.

Abstract

OBJECTIVE

Cancer patients' information needs about disease, diagnostic tests, treatments, physical care, and psychosocial resources during treatment are examined.

METHODS

Information needs of newly diagnosed, Stages II-IV cancer patients receiving treatment (N=138) were studied over nine months. Information needs were assessed using The Toronto Informational Needs Questionnaire (TINQ). There are five subscales for the TINQ: disease, diagnostic tests, treatment, physical and psychosocial. Health literacy and amount of information wanted were also measured. A repeated measures, univariate two-level model for longitudinal data was analyzed. Separate models for each subscale were constructed and covariates were examined simultaneously for associations with information needs. Models were estimated using FIML.

RESULTS

Although significant reduction of needs was observed over time, total information needs remained high throughout. Gender (women), age (younger), race (African American), education (lesser), and marital status (married) were significantly associated with higher information needs over time. Cancer type and stage were not significantly associated.

CONCLUSION

Cancer patients' information needs decrease yet remain high over time. Patients' information needs are highest near diagnosis and change throughout the course of their treatment.

PRACTICE IMPLICATIONS

As patients obtain and understand information, they will continue to need information in new areas relevant to their care.

摘要

目的

考察癌症患者在治疗过程中对疾病、诊断测试、治疗、身体护理和心理社会资源的信息需求。

方法

对 138 名接受治疗的新诊断、II-IV 期癌症患者进行了为期九个月的研究。使用多伦多信息需求问卷(TINQ)评估信息需求。TINQ 有五个分量表:疾病、诊断测试、治疗、身体和心理社会。还测量了健康素养和所需信息量。使用纵向数据的重复测量、单变量两水平模型进行分析。为每个分量表构建了单独的模型,并同时检查协变量与信息需求的关联。使用 FIML 估计模型。

结果

尽管随着时间的推移,需求显著减少,但整个治疗过程中总信息需求仍然很高。性别(女性)、年龄(年轻)、种族(非裔美国人)、教育程度(较低)和婚姻状况(已婚)与随时间推移而增加的信息需求显著相关。癌症类型和分期与信息需求无关。

结论

癌症患者的信息需求随时间的推移而减少,但仍然很高。患者的信息需求在诊断前后最高,并在整个治疗过程中发生变化。

实践意义

随着患者获取和理解信息,他们将继续需要与其护理相关的新领域的信息。

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