Suppr超能文献

中风患者支持性护理需求的轨迹模式及影响因素:一项纵向研究。

Trajectory patterns and influencing factors of supportive care needs in stroke patients: A longitudinal study.

作者信息

Xi Yushan, Liu Ranran, Tang Yingmei, Peng Ying, Jin Guoliang, Song Jingyuan

机构信息

School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.

Department of Neurology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.

出版信息

J Adv Nurs. 2025 Feb;81(2):809-819. doi: 10.1111/jan.16241. Epub 2024 May 16.

Abstract

AIM

To investigate the trajectory patterns and influencing factors of supportive care needs in stroke patients.

DESIGN

A longitudinal study.

METHODS

In total, 207 stroke patients who received treatment at the Department of Neurology in a hospital in Xuzhou between July 2022 and July 2023 were recruited using convenience sampling. Questionnaires including supportive care needs, hospital anxiety and depression scale, and the Barthel index were investigated at baseline and at 1, 3, and 6 months. A latent class growth model was applied to identify the supportive care needs trajectories. Multiple logistic regression was used to determine the predictors for membership. This study adheres to STROBE reporting guidelines.

RESULTS

Three patterns of supportive care needs trajectories were identified: A high needs slow decline group (20.8%), a medium needs stable group (56.5%) and a medium needs rapid decline group (22.7%). Based on further analysis, the findings indicated that age, education level, monthly income, comorbidity, activities of daily living, anxiety and depression were associated with the trajectory categories of supportive care needs with stroke patients.

CONCLUSION

This study demonstrates heterogeneity in changes in supportive care needs among stroke patients. Healthcare providers need to consider these different categories of needs and develop individualized care measures based on the characteristics of different patients.

IMPACT

Healthcare providers should be aware of the fluctuations in care needs of stroke patients at various stages. Additionally, the study aimed to identify patients' specific needs based on their circumstances, monitor the rehabilitation process and establish a more personalized and optimized care plan through multidisciplinary collaboration. The ultimate goal was to alleviate symptomatic distress and address the long-term care needs of patients.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

摘要

目的

探讨脑卒中患者支持性护理需求的轨迹模式及影响因素。

设计

一项纵向研究。

方法

采用便利抽样法,选取2022年7月至2023年7月在徐州某医院神经内科接受治疗的207例脑卒中患者。在基线、1个月、3个月和6个月时调查包括支持性护理需求、医院焦虑抑郁量表和Barthel指数在内的问卷。应用潜在类别增长模型确定支持性护理需求轨迹。采用多元逻辑回归确定轨迹分类的预测因素。本研究遵循STROBE报告指南。

结果

确定了三种支持性护理需求轨迹模式:高需求缓慢下降组(20.8%)、中等需求稳定组(56.5%)和中等需求快速下降组(22.7%)。进一步分析结果表明,年龄、教育程度、月收入、合并症、日常生活活动能力、焦虑和抑郁与脑卒中患者支持性护理需求的轨迹类别相关。

结论

本研究表明脑卒中患者支持性护理需求变化存在异质性。医疗服务提供者需要考虑这些不同类别的需求,并根据不同患者的特点制定个性化的护理措施。

影响

医疗服务提供者应意识到脑卒中患者在不同阶段护理需求的波动。此外,该研究旨在根据患者情况确定其具体需求,监测康复过程,并通过多学科协作建立更个性化和优化的护理计划。最终目标是减轻症状困扰,满足患者的长期护理需求。

患者或公众贡献

无患者或公众贡献。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验