Suppr超能文献

预测中风后患者恢复阶段的功能独立性。

Predicting the functional independence during the recovery phase for poststroke patients.

作者信息

Al-Fayyadh Sadeq

机构信息

Adult Nursing Department, School of Nursing University of Baghdad Baghdad Iraq.

出版信息

Nurs Open. 2019 Jul 11;6(4):1346-1353. doi: 10.1002/nop2.335. eCollection 2019 Oct.

Abstract

BACKGROUND

Successful recovery of stroke survivors can be challenging. However, when targeted functional capacities are predicted early in the recovery phase, necessary nursing intervention can be initiated aiming at supporting the client moving forward in the rehabilitation journey.

AIMS

This study aimed to evaluate stroke self-efficacy of poststroke patients and identify the differences in stroke self-efficacy level among some relevant variables.

DESIGN

A descriptive cross-sectional design was employed to achieve the aforementioned objectives.

METHODS

A purposive sample of 207 poststroke patients who were recovering from stroke in three major teaching hospitals at Baghdad city were recruited to participate in the study. Data collection process started 3 November 2016 -15 May 2017. Inclusion criteria embraced stroke patients who were adult, have Glasgow Coma Scale score 14-15, capable of giving written or verbal consent. The modified version of the stroke self-efficacy questionnaire was used for data collection.

RESULTS

A significant statistical difference at the -value ≤ 0.05 level, in stroke self-efficacy, was verified among subjects' age, residency, stroke incidence and patient's knowledge about his/her stroke medical diagnosis.

摘要

背景

中风幸存者的成功康复可能具有挑战性。然而,当在康复阶段早期预测出目标功能能力时,就可以启动必要的护理干预,旨在支持患者在康复进程中取得进展。

目的

本研究旨在评估中风后患者的中风自我效能感,并确定一些相关变量在中风自我效能水平上的差异。

设计

采用描述性横断面设计以实现上述目标。

方法

选取了巴格达市三家主要教学医院中正在从中风恢复的207例中风后患者作为目的抽样样本参与研究。数据收集过程于2016年11月3日至2017年5月15日开始。纳入标准包括成年中风患者、格拉斯哥昏迷量表评分为14 - 15分、能够给予书面或口头同意。采用中风自我效能量表的修订版进行数据收集。

结果

在受试者的年龄、居住地、中风发病率以及患者对其中风医学诊断的了解程度方面,中风自我效能感在p值≤0.05水平上存在显著统计学差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc18/6805273/1a2c876205fd/NOP2-6-1346-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验