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

纵向研究 冲程(发动机) 康复 萧条(经济学) 医院焦虑抑郁量表 日常生活活动 焦虑 需求评估 潜在类模型 医疗保健 医学 逻辑回归 共病 物理疗法 精神科 内科学 宏观经济学 病理 经济 经济增长 数学 统计 社会科学 机械工程 工程类 社会学
作者
Yushan Xi,Ranran Liu,Yingmei Tang,Ying Peng,Guoliang Jin,Jingyuan Song
出处
期刊:Journal of Advanced Nursing [Wiley]
卷期号:81 (2): 809-819 被引量:11
标识
DOI:10.1111/jan.16241
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
魏冉发布了新的文献求助10
刚刚
啦啦啦完成签到,获得积分10
刚刚
尤大二发布了新的文献求助10
刚刚
刚刚
刚刚
希望天下0贩的0应助fish采纳,获得10
1秒前
美丽凛发布了新的文献求助10
1秒前
1秒前
Nathan发布了新的文献求助10
2秒前
2秒前
SYL发布了新的文献求助10
2秒前
尊嘟假嘟发布了新的文献求助10
2秒前
标致的碧蓉完成签到 ,获得积分10
3秒前
3秒前
3秒前
飞快的蛋应助iiq采纳,获得30
4秒前
小二郎应助zzzz采纳,获得10
4秒前
柿柿如意完成签到,获得积分20
4秒前
渊仔码头完成签到,获得积分10
5秒前
5秒前
饭饭发布了新的文献求助10
5秒前
tt完成签到,获得积分10
5秒前
乐乐应助勤恳以寒采纳,获得10
6秒前
6秒前
酷波er应助weeds采纳,获得10
6秒前
6秒前
Jasper应助萧一采纳,获得10
7秒前
田様应助Wayne采纳,获得10
7秒前
无情的千山完成签到,获得积分10
7秒前
无奈的醉薇完成签到,获得积分10
8秒前
8秒前
zoequest发布了新的文献求助10
8秒前
8秒前
彩虹发布了新的文献求助10
8秒前
睿O宝宝O发布了新的文献求助10
9秒前
碧蓝雪珍发布了新的文献求助10
9秒前
戚小发布了新的文献求助10
9秒前
今后应助sym采纳,获得10
10秒前
科研通AI6.4应助缠流子采纳,获得10
10秒前
讷讷发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7350366
求助须知:如何正确求助?哪些是违规求助? 8962037
关于积分的说明 19036239
捐赠科研通 7000014
什么是DOI,文献DOI怎么找? 3220904
关于科研通互助平台的介绍 2385646
邀请新用户注册赠送积分活动 2201316