Master student, Faculty of Nursing, Thammasat University, Thailand.
Associate Professor, Faculty of Nursing, Thammasat University, Thailand.
Int J Palliat Nurs. 2024 Apr 2;30(4):160-169. doi: 10.12968/ijpn.2024.30.4.160.
Uncertainty is the inability to define the meaning of illness-related events, which may result in anxiety, depression, poor coping, the self-perception of being a burden and low quality of life. Uncertainty among Thai patients with advanced-stage lung cancer (ASLC) has not been well documented.
To assess uncertainty in patients with ASLC.
A cross-sectional survey design was adopted. Data were collected from 60 patients with ASLC at a university hospital. A demographic data form and the Mishel Uncertainty in Illness Scale (MUIS) were used to collect data. The data were analysed using descriptive statistics.
The patients had moderate levels of uncertainty in illness (83.73±15.25). Ambiguity about the illness and unpredictability of the prognosis scored at a moderate level for patients, while complexity of treatment and the system of care and inconsistency or lack of information, about the diagnosis or severity of the illness were at a low level.
The results of this study may help healthcare professionals better understand and manage uncertainty in patients with ASLC.
不确定性是指无法定义与疾病相关事件的含义,这可能导致焦虑、抑郁、应对能力差、自我负担感和生活质量低。泰国晚期肺癌(ASLC)患者的不确定性尚未得到充分记录。
评估 ASLC 患者的不确定性。
采用横断面调查设计。从一所大学医院的 60 名 ASLC 患者中收集数据。使用人口统计学数据表格和米舍尔疾病不确定感量表(MUIS)收集数据。使用描述性统计数据进行数据分析。
患者的疾病不确定性处于中等水平(83.73±15.25)。患者对疾病的模糊性和预后的不可预测性评分处于中等水平,而治疗的复杂性以及诊断或疾病严重程度的护理系统的一致性或缺乏信息则处于较低水平。
本研究结果可能有助于医疗保健专业人员更好地理解和管理 ASLC 患者的不确定性。