Department of Nursing, Tri-Service General Hospital, Taipei 11490, Taiwan.
Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan.
Int J Environ Res Public Health. 2021 May 5;18(9):4926. doi: 10.3390/ijerph18094926.
Using path modeling, this study aimed to explore whether mental adjustment was directly or indirectly related to comprehensive quality of life outcome (CoQoLO) among patients with terminal cancer. We conducted a cross-sectional designed study among patients with terminal cancer who underwent convenience sampling at our northern Taiwan clinic from August 2019 to August 2020. Patient characteristics data were collected via structured questionnaires, namely, the Mini-Mental Adjustment to Cancer Scale and the Comprehensive Quality of Life Outcome Inventory. Descriptive statistics and regression analyses were used to examine the relationship between mental adjustment and CoQoLO. Path analysis described the dependencies among variables. For the 117 enrolled patients analyzed, MAC (β = 1.2, 95% confidence interval (CI) = 0.8-1.6, < 0.001) and living with others (β = 19.9, 95% CI = 4.1-35.7, = 0.015) were significant predictors and correlated positively with a CoQoLO score. Path modeling showed that the patients' mental adjustment, economic status, perceived disease severity, palliative prognostic index, and symptom severity directly affected their CoQoLO. Our results indicate that the higher the mental adjustment, the better the CoQoLO among patients with terminal cancer. Thus, nurses need to assess mental adjustment levels when patients are hospitalized and accordingly develop interventions to improve the terminally ill patients' mental adjustment to the final stages of cancer, thereby helping them to achieve good CoQoLO.
本研究采用路径建模方法,旨在探讨心理调整是否直接或间接地与终末期癌症患者的综合生活质量结局(CoQoLO)相关。我们在 2019 年 8 月至 2020 年 8 月期间对我院北部诊所接受便利抽样的终末期癌症患者进行了一项横断面设计研究。通过结构问卷收集患者特征数据,即 Mini-Mental Adjustment to Cancer Scale 和 Comprehensive Quality of Life Outcome Inventory。采用描述性统计和回归分析来检验心理调整与 CoQoLO 之间的关系。路径分析描述了变量之间的依存关系。在纳入的 117 名患者中,MAC(β=1.2,95%置信区间(CI)=0.8-1.6,<0.001)和与他人同住(β=19.9,95%CI=4.1-35.7,=0.015)是显著的预测因子,与 CoQoLO 评分呈正相关。路径建模显示,患者的心理调整、经济状况、感知疾病严重程度、姑息预后指数和症状严重程度直接影响他们的 CoQoLO。研究结果表明,终末期癌症患者的心理调整程度越高,CoQoLO 越好。因此,护士需要在患者住院期间评估心理调整水平,并相应地制定干预措施,以改善终末期患者的心理调整,以适应癌症的终末期,从而帮助他们获得良好的 CoQoLO。