肿瘤护理质量与癌症患者复原力和希望之间的关系:一项横断面研究。

Nadia Sedri, Mohammad Ali Zakeri, Hakimeh Sheykhasadi, Ala Shamsi, Hosna Akbari, Mostafa Hejazi, Asghar Tavan
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引用次数: 0

摘要

背景:癌症患者除了需要接受专业的身体疾病治疗外,还需要情感支持。护理质量、抗逆力和希望会影响一个人的癌症轨迹,了解这些因素及其关系可对改善这些患者的治疗过程产生影响。目的:本研究探讨了肿瘤护理质量与癌症患者抗逆力和希望之间的关系:本研究是一项描述性分析研究,研究对象为 2023 年 4 月至 8 月期间的 160 名癌症患者。数据收集工具包括四份问卷:人口统计学信息问卷、康纳-戴维森复原力量表(CD-RSC)、斯奈德希望量表和肿瘤护理质量量表。数据使用 SPSS 22 版统计软件进行分析:结果:在研究人口统计学 "变量 "与 "复原力 "之间的关系时,婚姻状况和居住地具有统计学意义上的显著相关性(PC结论:鉴于癌症患者的 "复原力 "和 "希望 "之间的相互关系,有必要关注影响这些品质的因素。此外,关注复原力的概念可以提高癌症患者的希望水平。根据研究结果,建议规划并实施干预措施,以提高癌症患者的 "抗逆力"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The relationship between the quality of oncology nursing care and the resiliency and hope of patients with cancer: a cross-sectional study.

Background: Patients with cancer require emotional support in addition to specialised medical treatments for their physical ailments. The quality of nursing care, resilience and hope can influence a person's cancer trajectory, and understanding these factors and their relationship can be influential in improving the process for these patients.

Aim: This study examined the relationship between the quality of oncology nursing care and resilience and hope in patients with cancer.

Methods: The present study is a descriptive analytics study conducted on 160 patients with cancer from April-August 2023. The data collection tools included four questionnaires: a demographic information questionnaire, the Connor-Davidson Resilience Scale (CD-RSC), the Snyder Hope Scale, and the Oncology Nursing Care Quality Scale. The data were analysed using SPSS version 22 statistical software.

Results: In examining the relationship between demographic 'variables' and 'resilience', marital status and place of residence had statistically significant correlations (P<0.05). Place of residence, education level, job and first cancer treatment (P=0.004) had statistically significant correlations with hope (P<0.05). There was no statistically significant relationship between the quality of oncology nursing (QON) and its domain with two variables: 'resilience' (P=0.76) and 'hope' (P=0.37). However, a statistically significant relationship existed between the variables 'resilience' and 'hope' (P<0.001). The linear regression model results showed that among the entered demographic variables, only the variable 'hope' predicted resilience (P<0.001; R=27%). Additionally, the 'resilience' variables (P<0.001) and the 'first cancer treated' variable (P=0.001; R=34%) were predictors of 'hope'.

Conclusion: Given the interrelationship between 'resilience' and 'hope' for patients with cancer, it is necessary to focus on the factors that impact these qualities. In addition, paying attention to the concept of resilience can improve the level of hope in patients with cancer. Based on the results, it is recommended that interventions to increase QON in patients with cancer be planned and implemented.

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